Tomohisa Seki

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Research profile with citations, yearly trend, article performance and author insights

Okayama University, Japan

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DataCiteX Author Profile

Tomohisa Seki

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Last Synced 20 Aug 2026, 04:24 PM

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Author Impact Score

Custom 3-year author impact calculator based on citations and indexed documents.

28.03

Author impact score

1,093 Citations 2024 - 2026

39 Documents 2024 - 2026

Total Citations

4,979

Scholar + author-added

H-Index

27

research impact

I10-Index

37

quality score

Articles Found

126

merged research works

Top Performing Year

2022

472 citations

Tier

T2

CiteScore rank tier

Author CiteScore

28.03

Declining trend

Avg Citations / Year

299.41

yearly average

Citations / Article

39.52

impact efficiency

Citation Trend

318

Declining trend

Most Cited Article

Distinct metabolic flow enables large-s...

1297 citations

Smart Insight Box

Auto Summary

Top citation year was 2022 with 472 citations. Average citations per year stand at 299.41. Each indexed article contributes around 39.52 citations on average. Latest Author Impact Score for 2026 is 28.03, indicating a declining trend. Current H-index is 27 and I10-index is 37. Most cited article currently has 1297 citations. Recent yearly citation pattern indicates a declining trend.

Author Impact Score Trend

15 Years

Most Cited

1297 Citations

Year: 2013

Distinct metabolic flow enables large-scale purification of mouse and human pluripotent stem cell-derived cardiomyocytes

S Tohyama, F Hattori, M Sano, T Hishiki, Y Nagahata, T Matsuura, ...

Cell stem cell 12 (1), 127-137, 2013

Yearly Citations

Author year-wise citation data

Year	Citations
2026	318
2025	406
2024	369
2023	399
2022	472
2021	455
2020	368
2019	294
2018	276
2017	306
2016	322
2015	302
2014	240
2013	224
2012	143
2011	155
2010	41

Yearly Citations Chart

Author citation trend

17 Years

Year-wise Citation Share

Citation percentage by year

Top Research Articles

Showing 20 articles per page

126 Articles Page 1 of 7

#	Article Details	Year
1	Distinct metabolic flow enables large-scale purification of mouse and human pluripotent stem cell-derived cardiomyocytes Google Scholar 👨‍🔬 S Tohyama, F Hattori, M Sano, T Hishiki, Y Nagahata, T Matsuura, ... 📚 Cell stem cell 12 (1), 127-137, 2013	2013
2	Generation of induced pluripotent stem cells from human terminally differentiated circulating T cells Google Scholar 👨‍🔬 T Seki, S Yuasa, M Oda, T Egashira, K Yae, D Kusumoto, H Nakata, ... 📚 Cell stem cell 7 (1), 11-14, 2010	2010
3	Glutamine oxidation is indispensable for survival of human pluripotent stem cells Google Scholar 👨‍🔬 S Tohyama, J Fujita, T Hishiki, T Matsuura, F Hattori, R Ohno, ... 📚 Cell metabolism 23 (4), 663-674, 2016	2016
4	In vitro pharmacologic testing using human induced pluripotent stem cell-derived cardiomyocytes Google Scholar 👨‍🔬 T Tanaka, S Tohyama, M Murata, F Nomura, T Kaneko, H Chen, F Hattori, ... 📚 Biochemical and biophysical research communications 385 (4), 497-502, 2009	2009
5	Disease characterization using LQTS-specific induced pluripotent stem cells Google Scholar 👨‍🔬 T Egashira, S Yuasa, T Suzuki, Y Aizawa, H Yamakawa, T Matsuhashi, ... 📚 Cardiovascular research 95 (4), 419-429, 2012	2012
6	Direct in vivo reprogramming with Sendai virus vectors improves cardiac function after myocardial infarction Google Scholar 👨‍🔬 K Miyamoto, M Akiyama, F Tamura, M Isomi, H Yamakawa, T Sadahiro, ... 📚 Cell stem cell 22 (1), 91-103. e5, 2018	2018
7	Generation of induced pluripotent stem cells from a small amount of human peripheral blood using a combination of activated T cells and Sendai virus Google Scholar 👨‍🔬 T Seki, S Yuasa, K Fukuda 📚 Nature protocols 7 (4), 718-728, 2012	2012
8	Efficient large-scale 2D culture system for human induced pluripotent stem cells and differentiated cardiomyocytes Google Scholar 👨‍🔬 S Tohyama, J Fujita, C Fujita, M Yamaguchi, S Kanaami, R Ohno, ... 📚 Stem cell reports 9 (5), 1406-1414, 2017	2017
9	G-CSF promotes the proliferation of developing cardiomyocytes in vivo and in derivation from ESCs and iPSCs Google Scholar 👨‍🔬 K Shimoji, S Yuasa, T Onizuka, F Hattori, T Tanaka, M Hara, Y Ohno, ... 📚 Cell stem cell 6 (3), 227-237, 2010	2010
10	Automated deep learning-based system to identify endothelial cells derived from induced pluripotent stem cells Google Scholar 👨‍🔬 D Kusumoto, M Lachmann, T Kunihiro, S Yuasa, Y Kishino, M Kimura, ... 📚 Stem cell reports 10 (6), 1687-1695, 2018	2018
11	Methods of induced pluripotent stem cells for clinical application Google Scholar 👨‍🔬 T Seki, K Fukuda 📚 World journal of stem cells 7 (1), 116, 2015	2015
12	A massive suspension culture system with metabolic purification for human pluripotent stem cell-derived cardiomyocytes Google Scholar 👨‍🔬 N Hemmi, S Tohyama, K Nakajima, H Kanazawa, T Suzuki, F Hattori, ... 📚 Stem cells translational medicine 3 (12), 1473-1483, 2014	2014
13	Impaired respiratory function in MELAS‐induced pluripotent stem cells with high heteroplasmy levels Google Scholar 👨‍🔬 M Kodaira, H Hatakeyama, S Yuasa, T Seki, T Egashira, S Tohyama, ... 📚 FEBS open bio 5 (1), 219-225, 2015	2015
14	Zac1 is an essential transcription factor for cardiac morphogenesis Google Scholar 👨‍🔬 S Yuasa, T Onizuka, K Shimoji, Y Ohno, T Kageyama, SH Yoon, ... 📚 Circulation research 106 (6), 1083-1091, 2010	2010
15	G-CSF supports long-term muscle regeneration in mouse models of muscular dystrophy Google Scholar 👨‍🔬 N Hayashiji, S Yuasa, Y Miyagoe-Suzuki, M Hara, N Ito, H Hashimoto, ... 📚 Nature communications 6 (1), 6745, 2015	2015
16	Myocardial cell sheet therapy and cardiac function Google Scholar 👨‍🔬 J Fujita, Y Itabashi, T Seki, S Tohyama, Y Tamura, M Sano, K Fukuda 📚 American Journal of Physiology-Heart and Circulatory Physiology 303 (10 …, 2012	2012
17	Deep learning model to detect significant aortic regurgitation using electrocardiography Google Scholar 👨‍🔬 S Sawano, S Kodera, S Katsushika, M Nakamoto, K Ninomiya, ... 📚 Journal of cardiology 79 (3), 334-341, 2022	2022
18	H1foo has a pivotal role in qualifying induced pluripotent stem cells Google Scholar 👨‍🔬 A Kunitomi, S Yuasa, F Sugiyama, Y Saito, T Seki, D Kusumoto, ... 📚 Stem Cell Reports 6 (6), 825-833, 2016	2016
19	Outcome prediction of out-of-hospital cardiac arrest with presumed cardiac aetiology using an advanced machine learning technique Google Scholar 👨‍🔬 T Seki, T Tamura, M Suzuki, SOS-KANTO 2012 Study Group 📚 Resuscitation 141, 128-135, 2019	2019
20	Flecainide ameliorates arrhythmogenicity through NCX flux in Andersen-Tawil syndrome-iPS cell-derived cardiomyocytes Google Scholar 👨‍🔬 Y Kuroda, S Yuasa, Y Watanabe, S Ito, T Egashira, T Seki, T Hattori, ... 📚 Biochemistry and Biophysics Reports 9, 245-256, 2017	2017
21	Sex-and age-based disparities in public access defibrillation, bystander cardiopulmonary resuscitation, and neurological outcome in cardiac arrest Google Scholar 👨‍🔬 M Ishii, K Tsujita, T Seki, M Okada, K Kubota, K Matsushita, K Kaikita, ... 📚 JAMA Network Open 6 (7), e2321783, 2023	2023
22	Emerin plays a crucial role in nuclear invagination and in the nuclear calcium transient Google Scholar 👨‍🔬 M Shimojima, S Yuasa, C Motoda, G Yozu, T Nagai, S Ito, M Lachmann, ... 📚 Scientific reports 7 (1), 44312, 2017	2017
23	The complement C3-complement factor D-C3a receptor signalling axis regulates cardiac remodelling in right ventricular failure Google Scholar 👨‍🔬 S Ito, H Hashimoto, H Yamakawa, D Kusumoto, Y Akiba, T Nakamura, ... 📚 Nature communications 13 (1), 5409, 2022	2022
24	Machine learning-based prediction of in-hospital mortality using admission laboratory data: A retrospective, single-site study using electronic health record data Google Scholar 👨‍🔬 T Seki, Y Kawazoe, K Ohe 📚 PloS one 16 (2), e0246640, 2021	2021
25	The effectiveness of a deep learning model to detect left ventricular systolic dysfunction from electrocardiograms Google Scholar 👨‍🔬 S Katsushika, S Kodera, M Nakamoto, K Ninomiya, S Inoue, S Sawano, ... 📚 International Heart Journal 62 (6), 1332-1341, 2021	2021
26	Generation and characterization of functional cardiomyocytes derived from human T cell-derived induced pluripotent stem cells Google Scholar 👨‍🔬 T Seki, S Yuasa, D Kusumoto, A Kunitomi, Y Saito, S Tohyama, K Yae, ... 📚 PloS one 9 (1), e85645, 2014	2014
27	Distinct iPS cells show different cardiac differentiation efficiency Google Scholar 👨‍🔬 Y Ohno, S Yuasa, T Egashira, T Seki, H Hashimoto, S Tohyama, Y Saito, ... 📚 Stem Cells International 2013 (1), 659739, 2013	2013
28	Derivation of transgene-free human induced pluripotent stem cells from human peripheral T cells in defined culture conditions Google Scholar 👨‍🔬 Y Kishino, T Seki, J Fujita, S Yuasa, S Tohyama, A Kunitomi, R Tabei, ... 📚 PLoS One 9 (5), e97397, 2014	2014
29	Assessing the performance of zero-shot visual question answering in multimodal large language models for 12-lead ECG image interpretation Google Scholar 👨‍🔬 T Seki, Y Kawazoe, H Ito, Y Akagi, T Takiguchi, K Ohe 📚 Frontiers in cardiovascular medicine 12, 1458289, 2025	2025
30	Composite metastatic carcinoma in lymph nodes of patients with concurrent medullary and papillary thyroid carcinoma: a report of two cases Google Scholar 👨‍🔬 T Seki, K Kameyama, H Hayashi, M Nagahama, K Masudo, N Fukunari, ... 📚 Endocrine pathology 15 (1), 83-88, 2004	2004
31	Pathway importance by graph convolutional network and Shapley additive explanations in gene expression phenotype of diffuse large B-cell lymphoma Google Scholar 👨‍🔬 J Hayakawa, T Seki, Y Kawazoe, K Ohe 📚 Plos one 17 (6), e0269570, 2022	2022
32	Etiology-based prognosis of extracorporeal CPR recipients after out-of-hospital cardiac arrest: a retrospective multicenter cohort study Google Scholar 👨‍🔬 T Takiguchi, N Tominaga, T Hamaguchi, T Seki, J Nakata, T Yamamoto, ... 📚 Chest 165 (4), 858-869, 2024	2024
33	Selective elimination of undifferentiated human pluripotent stem cells using pluripotent state-specific immunogenic antigen Glypican-3 Google Scholar 👨‍🔬 M Okada, Y Tada, T Seki, S Tohyama, J Fujita, T Suzuki, M Shimomura, ... 📚 Biochemical and biophysical research communications 511 (3), 711-717, 2019	2019
34	Generation of induced pluripotent stem cells from human peripheral T cells using Sendai virus in feeder-free conditions Google Scholar 👨‍🔬 Y Kishino, T Seki, S Yuasa, J Fujita, K Fukuda 📚 JoVE (Journal of Visualized Experiments), e53225, 2015	2015
35	Natural language processing of electronic medical records identifies cardioprotective agents for anthracycline induced cardiotoxicity Google Scholar 👨‍🔬 Y Kawazoe, M Tsuchiya, K Shimamoto, T Seki, E Shinohara, S Yada, ... 📚 Scientific reports 15 (1), 6678, 2025	2025
36	Post-marketing surveillance of anticancer drugs using natural language processing of electronic medical records Google Scholar 👨‍🔬 Y Kawazoe, K Shimamoto, T Seki, M Tsuchiya, E Shinohara, S Yada, ... 📚 npj Digital Medicine 7 (1), 315, 2024	2024
37	Factors associated with favourable neurological outcomes following cardiopulmonary resuscitation for out-of-hospital cardiac arrest: a retrospective multi-centre cohort study Google Scholar 👨‍🔬 N Tominaga, T Takiguchi, T Seki, T Hamaguchi, J Nakata, T Yamamoto, ... 📚 Resuscitation plus 17, 100574, 2024	2024
38	A generative foundation model for structured patient trajectory data Google Scholar 👨‍🔬 Y Akagi, T Seki, Y Kawazoe, T Takiguchi, K Ohe 📚 AMIA Annual Symposium Proceedings 2024, 124, 2025	2025
39	A scalable natural language processing framework for drug repurposing in chemotherapy-induced adverse events from clinical narrative records Google Scholar 👨‍🔬 M Tsuchiya, M Inoue, Y Kawazoe, K Shimamoto, T Seki, S Imai, H Kizaki, ... 📚 European Journal of Cancer, 116157, 2025	2025
40	Patient-specific induced pluripotent stem cell models: Characterization of iPS Cell-derived cardiomyocytes Google Scholar 👨‍🔬 T Egashira, S Yuasa, S Tohyama, Y Kuroda, T Suzuki, T Seki, K Fukuda 📚 Patient-Specific Induced Pluripotent Stem Cell Models: Generation and …, 2014	2014
41	Immediate postnatal prediction of death or bronchopulmonary dysplasia among very preterm and very low birth weight infants based on gradient boosting decision trees algorithm … Google Scholar 👨‍🔬 K Yoneda, T Seki, Y Kawazoe, K Ohe, N Takahashi, ... 📚 Plos one 19 (3), e0300817, 2024	2024
42	Development of non-bias phenotypic drug screening for cardiomyocyte hypertrophy by image segmentation using deep learning Google Scholar 👨‍🔬 J Komuro, Y Tokuoka, T Seki, D Kusumoto, H Hashimoto, T Katsuki, ... 📚 Biochemical and Biophysical Research Communications 632, 181-188, 2022	2022
43	Evaluation of Perioperative Cardiovascular Event Risk in Gastrointestinal Surgery―Predictive Modeling and Risk Stratification Using Machine Learning― Google Scholar 👨‍🔬 H Ito, T Seki, Y Kawazoe, T Takiguchi, Y Akagi, K Kubota, K Miyake, ... 📚 Circulation Journal, CJ-25-0032, 2025	2025
44	Transfusion ratios and survival in severe blunt trauma patients receiving massive transfusion Google Scholar 👨‍🔬 T Takiguchi, T Seki, T Tagami, Y Akagi, R Nakae, H Ito, Y Kawazoe, ... 📚 Scientific Reports 15 (1), 25519, 2025	2025
45	Prognostic impact of the timing of antihypertensive medication initiation for hypertension detected at health screening on primary prevention of adverse cardiovascular events … Google Scholar 👨‍🔬 H Ito, T Seki, Y Kawazoe, T Takiguchi, Y Akagi, K Kubota, K Miyake, ... 📚 Hypertension Research 48 (9), 2401-2412, 2025	2025
46	Enhancing type 2 diabetes treatment decisions with interpretable machine learning models for predicting hemoglobin a1c changes: Machine learning model development Google Scholar 👨‍🔬 H Kurasawa, K Waki, T Seki, A Chiba, A Fujino, K Hayashi, E Nakahara, ... 📚 JMIR AI 3 (1), e56700, 2024	2024
47	Treatment discontinuation prediction in patients with diabetes using a ranking model: machine learning model development Google Scholar 👨‍🔬 H Kurasawa, K Waki, A Chiba, T Seki, K Hayashi, A Fujino, T Haga, ... 📚 JMIR Bioinformatics and Biotechnology 3 (1), e37951, 2022	2022
48	Analysis of cardiomyocyte movement in the developing murine heart Google Scholar 👨‍🔬 H Hashimoto, S Yuasa, H Tabata, S Tohyama, T Seki, T Egashira, ... 📚 Biochemical and biophysical research communications 464 (4), 1000-1007, 2015	2015
49	Graph representation learning-based fixed-length clinical feature vector generation from heterogeneous medical records Google Scholar 👨‍🔬 T Seki, Y Kawazoe, K Ohe 📚 MEDINFO 2023—The Future Is Accessible: Proceedings of the 19th World …, 2024	2024
50	Association between pupillary examinations and prognosis in patients with out-of-hospital cardiac arrest who underwent extracorporeal cardiopulmonary resuscitation: a … Google Scholar 👨‍🔬 T Hamaguchi, T Takiguchi, T Seki, N Tominaga, J Nakata, T Yamamoto, ... 📚 Annals of intensive care 14 (1), 35, 2024	2024
51	Practical application of confocal laser scanning microscopy for cardiac regenerative medicine Google Scholar 👨‍🔬 J Fujita, N Hemmi, S Tohyama, T Seki, Y Tamura, K Fukuda 📚 Confocal Laser Microscopy-Principles and Applications in Medicine, Biology …, 2013	2013
52	Predicting rapid decline in kidney function among type 2 diabetes patients: A machine learning approach Google Scholar 👨‍🔬 E Nakahara, K Waki, H Kurasawa, I Mimura, T Seki, A Fujino, N Shiomi, ... 📚 Heliyon 11 (1), 2025	2025
53	Sex difference patterns in the association of low-density lipoprotein cholesterol with disease risk and all-cause mortality: a nationwide retrospective cohort study Google Scholar 👨‍🔬 T Seki, T Takiguchi, Y Akagi, H Ito, K Kubota, K Miyake, M Okada, ... 📚 Journal of Clinical Lipidology, 2025	2025
54	Development and validation of personalized risk prediction models for patients with IgA nephropathy: a nationwide multicenter cohort study Google Scholar 👨‍🔬 K Hirano, T Ikenoue, T Seki, S Komukai, H Nakata, T Yasuda, Y Yasuda, ... 📚 Journal of Nephrology 38 (6), 1573-1582, 2025	2025
55	Elucidating celecoxib's preventive effect in capecitabine-induced hand-foot syndrome using medical natural language processing Google Scholar 👨‍🔬 M Tsuchiya, Y Kawazoe, K Shimamoto, T Seki, S Imai, H Kizaki, ... 📚 JCO clinical cancer informatics 9, e2500096, 2025	2025
56	Sex Differences in Post-Noncardiac Surgery Risks Assessed Using the Revised Cardiac Risk Index―A Nationwide Retrospective Cohort Study― Google Scholar 👨‍🔬 T Seki, Y Kawazoe, T Takiguchi, Y Akagi, H Ito, K Kubota, K Miyake, ... 📚 Circulation Journal 89 (9), 1547-1554, 2025	2025
57	Clinical feature vector generation using unsupervised graph representation learning from heterogeneous medical records Google Scholar 👨‍🔬 T Seki, Y Kawazoe, K Ohe 📚 AMIA Annual Symposium Proceedings 2023, 618, 2024	2024
58	Iterative random forest-based identification of a novel population with high risk of complications post non-cardiac surgery Google Scholar 👨‍🔬 T Seki, T Takiguchi, Y Akagi, H Ito, K Kubota, K Miyake, M Okada, ... 📚 Scientific Reports 14 (1), 26741, 2024	2024
59	Induced pluripotent stem cells for clinical use Google Scholar 👨‍🔬 T Seki, K Fukuda 📚 Pluripotent Stem Cells-From the Bench to the Clinic, 2016	2016
60	Enhancing antidiabetic drug selection using transformers: machine-learning model development Google Scholar 👨‍🔬 H Kurasawa, K Waki, T Seki, E Nakahara, A Fujino, N Shiomi, ... 📚 JMIR Medical Informatics 13 (1), e67748, 2025	2025
61	Assessment of Medically Relevant Ageism Inherent in Large Language Models Google Scholar 👨‍🔬 T Seki, Y Kawazoe, H Ito, T Takiguchi, Y Akagi, M Ebara, K Ohe 📚 Medinfo 2025-Healthcare Smart x Medicine Deep: Proceedings of the 20th World …, 2025	2025
62	Etiology-based Prognosis of Extracorporeal Cardiopulmonary Resuscitation Recipients After Out-of-hospital Cardiac Arrest: A Retrospective Multicenter Cohort Study. Google Scholar 👨‍🔬 T Takiguchi, N Tominaga, T Hamaguchi, T Seki, J Nakata, T Yamamoto, ... 📚 Chest, S0012-3692 (23) 05667, 2023	2023
63	Recent improvements and emerging issues in iPSC generation for the modeling of disease Google Scholar 👨‍🔬 T Seki, S Yuasa, K Fukuda 📚 Human iPS Cells in Disease Modelling, 1-9, 2016	2016
64	The prevalence of clinically significant ischemia in patients undergoing percutaneous coronary intervention: a report from the multicenter registry Google Scholar 👨‍🔬 J Fujita, S Kohsaka, I Ueda, T Inohara, Y Maekawa, A Kawamura, ... 📚 PloS one 10 (7), e0133568, 2015	2015
65	Clinical aspects of febrile convulsions Google Scholar 👨‍🔬 T Seki, M Hara 📚 ASIAN MEDICAL JOURNAL 36, 533-533, 1993	1993
66	Temporal trends in time toxicity of R-CHOP: a nationwide hospital-based database analysis in Japan Google Scholar 👨‍🔬 H Araie, T Seki, A Okada, T Yamauchi, M Nangaku, T Kadowaki, K Ohe, ... 📚 Supportive Care in Cancer 33 (4), 293, 2025	2025
67	Evaluation of Synthetic Data Generation Methods for Medical Tabular Data: Representation of Distribution Tails Google Scholar 👨‍🔬 O Mohri, T Seki, Y Kawazoe, K Ohe 📚 Medinfo 2025-Healthcare Smart x Medicine Deep: Proceedings of the 20th World …, 2025	2025
68	Anti-senescent drug screening by deep learning-based morphology senescence scoring Google Scholar 👨‍🔬 D Kusumoto, T Seki, H Sawada, T Katsuki, M Kimura, S Ito, J Komuro, ... 📚 Circulation 142 (Suppl_3), A13576-A13576, 2020	2020
69	P1849 Prevention of tumorigenesis in human pluripotent stem cell-derived cardiomyocytes by immunological cytotoxicity against oncofetal antigen Google Scholar 👨‍🔬 M Okada, Y Tada, T Seki, S Tohyama, J Fujita, T Nakatsura, K Fukuda 📚 European Heart Journal 39 (suppl_1), ehy565. P1849, 2018	2018
70	The regenerative therapy of human induced pluripotent stem cells-derived pure cardiac spheroids with gelatin hydrogel restores cardiac function and has weak arrhythmogenic … Google Scholar 👨‍🔬 K Nakajima, J Fujita, S Tohyama, R Ohno, H Kanazawa, T Seki, Y Kishino, ... 📚 EUROPEAN HEART JOURNAL 38, 532-532, 2017	2017
71	P2560 The regenerative therapy with human iPS cells-derived cardiac spheroids and gelatin hydrogel significantly improves cardiac function and cause no lethal arrhythmia in a … Google Scholar 👨‍🔬 S Kawaguchi, J Fujita, A Hirano, H Kanazawa, S Tohyama, N Handa, ... 📚 European Heart Journal 38 (suppl_1), ehx502. P2560, 2017	2017
72	P2542 The regenerative therapy of human induced pluripotent stem cells-derived pure cardiac spheroids with gelatin hydrogel restores cardiac function and has weak … Google Scholar 👨‍🔬 K Nakajima, J Fujita, S Tohyama, R Ohno, H Kanazawa, T Seki, Y Kishino, ... 📚 European Heart Journal 38 (suppl_1), ehx502. P2542, 2017	2017
73	Erratum: G-CSF supports long-term muscle regeneration in mouse models of muscular dystrophy Google Scholar 👨‍🔬 N Hayashiji, S Yuasa, Y Miyagoe-Suzuki, M Hara, N Ito, H Hashimoto, ... 📚 Nature communications 6, 7295, 2015	2015
74	Generation and clinical application of human T cell-derived induced pluripotent stem cells Google Scholar 👨‍🔬 T Seki, S Yuasa, K Fukuda 📚 Inflammation and Regeneration 31 (5), 393-398, 2011	2011
75	Generation of induced pluripotent stem cells in healthy volunteers and patients with hereditary heart disease Google Scholar 👨‍🔬 T Egashira, S Yuasa, Y Ohno, T Seki, H Hashimoto, S Toyama, SH Yoon, ... 📚 Circulation 120 (suppl_18), S619-S619, 2009	2009
76	A case of colony stimulating factor (CSF) producing gastric cancer Google Scholar 👨‍🔬 T Seki 📚 Gann No Rinsho (Jpn J Cancer Clin) 36, 2469-2474, 1990	1990
77	Development and Validation of Machine Learning Models for Predicting Initiation of Emergency Dialysis in Advanced Chronic Kidney Disease Google Scholar 👨‍🔬 K Hirano, T Seki, A Watanabe, K Kubota, Y Kawazoe 📚 medRxiv, 2026.06. 21.26356128, 2026	2026
78	High-Fidelity Longitudinal Patient Simulation Using Real-World Data Google Scholar 👨‍🔬 Y Akagi, T Seki, H Ito, T Takiguchi, K Ohe, Y Kawazoe 📚 arXiv preprint arXiv:2601.17310, 2026	2026
79	Generating Counterfactual Patient Timelines from Real-World Data Google Scholar 👨‍🔬 Y Akagi, T Seki, T Takiguchi, H Ito, Y Kawazoe, K Ohe 📚 AMIA Annual Symposium Proceedings 2025, 128, 2026	2026
80	Natural Language Processing-Based Visualization Framework for Adverse Events Extracted from Clinical Narratives: Towards Enhancing Clinical Interpretability Google Scholar 👨‍🔬 M Tsuchiya, Y Kawazoe, K Shimamoto, T Seki, Y Yanagisawa, S Imai, ... 📚 Biological and Pharmaceutical Bulletin 49 (3), 473-479, 2026	2026
81	Machine Learning Models Incorporating Nursing Care Needs to Predict 180-Day Prognosis in Patients With Heart Failure―Validation With Discrimination and Calibration Analyses― Google Scholar 👨‍🔬 T Nishino, K Kato, S Tara, D Hayashi, T Seki, T Takiguchi, Y Kubota, ... 📚 Circulation Reports 8 (5), 757-768, 2026	2026
82	Quantifying ethical response in LLMs for medicine: corpus development, item response theory-based validation, and bias analysis toward patient attributes Google Scholar 👨‍🔬 M Ebara, Y Kawazoe, T Seki, E Shinohara, E Nakazawa, K Ohe 📚 AI and Ethics 6 (3), 327, 2026	2026
83	Real-world time-to-event detection of immune-related adverse events from electronic health records using clinical natural language processing. Google Scholar 👨‍🔬 M Tsuchiya, T Hasegawa, Y Kawazoe, K Shimamoto, Y Yanagisawa, ... 📚 Journal of Clinical Oncology 44 (16_suppl), e13650-e13650, 2026	2026
84	Evaluation of Perioperative Cardiovascular Event―Predictive Modeling and Risk Stratification Using Machine Learning― Google Scholar 👨‍🔬 H Ito, T Seki, Y Kawazoe, T Takiguchi, Y Akagi, K Kubota, K Miyake, ... 📚 CIRCULATION JOURNAL, 2025	2025
85	Transfusion Ratios of Fresh Frozen Plasma and Platelet Concentrate to Packed Red Blood Cells in Patients with Severe Blunt Trauma Receiving Massive Transfusion: A Nationwide … Google Scholar 👨‍🔬 T Takiguchi, T Seki, T Tagami, Y Akagi, R Nakae, H Ito, Y Kawazoe, ...	2025
86	Corpus-Based Evaluation of Decision-Making in Medical Ethics by Large Language Models Google Scholar 👨‍🔬 M Ebara, Y Kawazoe, T Seki, E Shinohara, E Nakazawa, K Ohe 📚 Medinfo 2025-Healthcare Smart x Medicine Deep: Proceedings of the 20th World …, 2025	2025
87	Providing Practical Knowledge and Skills to Handle Real-World Data? Lessons Learned from Med RWD Program Google Scholar 👨‍🔬 K Kubota, T Seki, K Miyake, M Okada, K Nishio, K Ohe 📚 MEDINFO 2023—The Future Is Accessible: Proceedings of the 19th World …, 2024	2024
88	A Comparative Study of Access Analysis Service Utilization on Japanese Medical Institutions’ Websites with GDPR-Compliant Cases Google Scholar 👨‍🔬 T Seki, Y Kawazoe, K Ohe 📚 Digital Health and Informatics Innovations for Sustainable Health Care …, 2024	2024
89	Evaluating the preventive impact of anthracycline-induced cardiotoxicity using natural language processing and electronic medical records Google Scholar 👨‍🔬 Y Kawazoe, M Tsuchiya, K Shimamoto, T Seki, E Shinohara, S Yada, ...	2024
90	Machine learning models for predicting medium-term heart failure prognosis: Discrimination and calibration analysis Google Scholar 👨‍🔬 T Nishino, K Kato, S Tara, D Hayashi, T Seki, T Takiguchi, Y Kubota, ... 📚 medRxiv, 2024.12. 17.24319186, 2024	2024
91	Prognosis by aetiologies in extracorporeal cardiopulmonary resuscitation for out-of-hospital cardiac arrest: a retrospective multicentre cohort study Google Scholar 👨‍🔬 T Takiguchi, N Tominaga, T Hamaguchi, T Seki, J Nakata, T Yamamoto, ...	2023
92	Predictive factors associated with favourable neurological outcomes after extracorporeal cardiopulmonary resuscitation for out-of-hospital cardiac arrest: a retrospective … Google Scholar 👨‍🔬 N Tominaga, T Takiguchi, T Seki, T Hamaguchi, J Nakata, T Yamamoto, ...	2023
93	Association Between Bystander Delay in Activating the Emergency Response System and Outcomes Following Out-Of-Hospital Cardiac Arrest: All-Japan National Utstein Registry Google Scholar 👨‍🔬 T Tamura, T Seki, M Suzuki, J Sasaki 📚 Circulation 140 (Suppl_2), A475-A475, 2019	2019
94	Machine Learning Models for Outcome Prediction of Out-Of-Hospital Cardiac Arrest of Presumed Cardiac Cause Using the All-Japan Utstein Registry Google Scholar 👨‍🔬 T Seki, T Tamura, K Ohe, M Suzuki 📚 Circulation 140 (Suppl_2), A27-A27, 2019	2019
95	Glypican-3-derived peptides assume immunogenicity in human pluripotent stem cells Google Scholar 👨‍🔬 M Okada, Y Tada, T Seki, S Tohyama, T Suzuki, M Shimomura, J Fujita, ... 📚 CANCER SCIENCE 109, 758-758, 2018	2018
96	Generation of Endothelial and Smooth Muscle Cells from Werner Syndrome-Specific Induced Pluripotent Stem Cells Google Scholar 👨‍🔬 G YOZU, S YUASA, S TOHYAMA, T SEKI, M TAKEMOTO, K YOKOTE, ... 📚 Juntendo Medical Journal 64 (3), 207-215, 2018	2018
97	エメリンが核膜陥入層及び, 核内カルシウム動態に重要な役割を果たす Google Scholar 👨‍🔬 下島正也 📚 金沢大学十全医学会雑誌 127 (2), 49-50, 2018	2018
98	Exploiting the organ niche for interspecies organogenesis Google Scholar 👨‍🔬 H Nakauchi, K Fukuda, K Nakajima, S Tohyama, T Seki, F Hattori, ... 📚 2018 AAAS Annual Meeting, 2018	2018
99	Prevention of tumorigenesis in human pluripotent stem cell-derived cardiomyocytes by immunological cytotoxicity against oncofetal antigen Google Scholar 👨‍🔬 M Okada, Y Tada, T Seki, S Tohyama, J Fujita, T Nakatsura, K Fukuda 📚 EUROPEAN HEART JOURNAL 39, 391-391, 2018	2018
100	Prognostication for Out-of-Hospital Cardiogenic Cardiac Arrest Patients Using Advanced Machine Learning Technique Google Scholar 👨‍🔬 T Seki, T Tamura, M Suzuki 📚 Circulation 138 (Suppl_2), A349-A349, 2018	2018
101	The regenerative therapy with human iPS cells-derived cardiac spheroids and gelatin hydrogel significantly improves cardiac function and cause no lethal arrhythmia in a pig … Google Scholar 👨‍🔬 S Kawaguchi, J Fujita, A Hirano, H Kanazawa, S Tohyama, N Handa, ... 📚 EUROPEAN HEART JOURNAL 38, 538-538, 2017	2017
102	P2542The regenerative therapy of human induced pluripotent stem cells-derived pure cardiac spheroids with gelatin hydrogel restores cardiac function and has weak arrhythmogenic … Google Scholar 👨‍🔬 R Ohno, Y Kishino, K Nakajima, K Fukuda, S Tohyama, H Kanazawa, ... 📚 European Heart Journal 38, 2017	2017
103	Embryonic type Na Google Scholar 👨‍🔬 S Okata, S Yuasa, T Suzuki, S Ito, N Makita, T Yoshida, M Li, J Kurokawa, ... 📚 Scientific reports 6, 2016	2016
104	Regenerative Therapy of the Cardiovascular Area Using iPS Cells Google Scholar 👨‍🔬 K Fukuda, S Tohyama, T Seki, S Yuasa, K Shimoji, J Fujita 📚 Nihon Naika Gakkai zasshi. The Journal of the Japanese Society of Internal …, 2016	2016
105	Flecainide suppresses an arrhythmogenic substrate in Andersen-Tawil syndrome-induced pluripotent stem cell-derived cardiomyocytes Google Scholar 👨‍🔬 Y Kuroda, S Yuasa, Y Watanabe, S Ito, T Egashira, T Seki, Y Aizawa, ... 📚 EUROPEAN HEART JOURNAL 37, 834-834, 2016	2016
106	Method for producing induced pluripotent stem cells Google Scholar 👨‍🔬 K Fukuda, S Yuasa, T Seki, M Hasegawa 📚 US Patent 9,447,432, 2016	2016
107	Road to Heart Regeneration with Induced Pluripotent Stem Cells Google Scholar 👨‍🔬 J Fujita, S Tohyama, K Nakajima, T Seki, H Kanazawa, K Fukuda 📚 Liver, Lung and Heart Regeneration, 137-152, 2016	2016
108	心室/心房中隔欠損症患者由来の iPS 細胞を用いた疾患原因遺伝子の解析 Google Scholar 👨‍🔬 T SEKI, S YUASA, T EGASHIRA, K FUKUDA 📚 日本心臓血圧研究振興会研究業績集, 63-66, 2015	2015
109	The Clinical Characteristics of Patients With Ischemia-oriented or Coronary Computed Tomography Angiography-oriented Percutaneous Coronary Intervention, a Report From the … Google Scholar 👨‍🔬 J Fujita, S Kohsaka, I Ueda, T Inohara, Y Maekawa, A Kawamura, ... 📚 Circulation 132 (suppl_3), A15178-A15178, 2015	2015
110	Generación de pluripotentes inducidas células madre a partir de células T periféricas Humanos Uso de Sendai virus en Condiciones-Feeder gratuita Google Scholar 👨‍🔬 Y Kishino, T Seki, S Yuasa, J Fujita, K Fukuda 📚 Journal of Visualized Experiments (JoVE), e53225, 2015	2015
111	דור של גזע תאים המושרה pluripotent מתאי T ההיקפיים אנושיים באמצעות וירוס סנדאי בתנאים ללא מזין‎ Google Scholar 👨‍🔬 Y Kishino, T Seki, S Yuasa, J Fujita, K Fukuda 📚 Journal of Visualized Experiments (JoVE), e53225, 2015	2015
112	Gelatin-hydrogel Blended Cardiomyocytes Ameliorate Cardiac Function Post Myocardial Infarction Google Scholar 👨‍🔬 K Nakajima, J Fujita, M Matsui, S Tohyama, Y Kishino, M Okada, A Hirano, ... 📚 Journal of Cardiac Failure 20 (10), S183, 2014	2014
113	Application of iPS cells for cardiovascular medicine Google Scholar 👨‍🔬 K Fukuda, T Seki, S Tohyama, S Yuasa 📚 JOURNAL OF PHARMACOLOGICAL SCIENCES 121, 4P-4P, 2013	2013
114	Research Article Distinct iPS Cells Show Different Cardiac Differentiation Efficiency Google Scholar 👨‍🔬 Y Ohno, S Yuasa, T Egashira, T Seki, H Hashimoto, S Tohyama, Y Saito, ...	2013
115	for Clinical Usage Google Scholar 👨‍🔬 T Seki, S Yuasa 📚 Cardiac Regeneration using Stem Cells, 20, 2013	2013
116	Novel Pathological Detection System of Induced Pluripotent Stem Cell-Derived Cardiomyocytes Using T-Cell Receptor Gene Locus for Cell Transplantation Therapy Google Scholar 👨‍🔬 Y Kishino, T Seki, S Tohyama, S Yuasa, J Fujita, M Sano, K Fukuda 📚 Circulation 128 (suppl_22), A16537-A16537, 2013	2013
117	RESIDUAL TRANSGENE EXPRESSION OF YAMANAKA FACTORS DETERMINE QUALITY AND DIFFERENTIATION EFFICIENCY OF CARDIOMYOCYTES DERIVED FROM MOUSE INDUCED PLURIPOTENT STEM CELL LINES Google Scholar 👨‍🔬 Y Ohno, S Yuasa, T Egashira, T Seki, H Hashimoto, S Tohyama, ... 📚 Journal of the American College of Cardiology 59 (13S), E1001-E1001, 2012	2012
118	Disease Characterization of Long QT Syndrome Using iPS Cell-Derived Cardiomyocytes Google Scholar 👨‍🔬 K Fukuda, T Egashira, T Seki, S Yuasa 📚 journal of arrhythmia 27 (Supplement), PL-PL, 2011	2011
119	Novel Method ‘Fucci’Elucidated the Cardiomyocyte Cell Cycle Dynamics in Various Life Stages Google Scholar 👨‍🔬 H Hashimoto, S Yuasa, S Tohyama, T Seki, T Egashira, K Yae, ... 📚 Circulation 122 (suppl_21), A15822-A15822, 2010	2010
120	Disease Specific iPS Cells for Heart Disease Google Scholar 👨‍🔬 T Seki, K Fukuda 📚 ¿¿¿¿¿¿¿¿¿¿ 57 (11), 1155, 2009	2009
121	Molecular Characterization of Induced Pluripotent Stem (iPS) Cell-Derived Cardiomyocytes Google Scholar 👨‍🔬 Y Ohno, S Yuasa, T Egashira, T Seki, H Hashimoto, S Toyama, SH Yoon, ... 📚 Circulation 120 (suppl_18), S765-S765, 2009	2009
122	Functional Characterization of Human Induced Pluripotent Stem Cell Derived Cardiomyocytes Google Scholar 👨‍🔬 S Tohyama, M Murata, F Hattori, T Tanaka, H Chen, H Yamashita, Y Sato, ... 📚 Circulation 120 (suppl_18), S723-S723, 2009	2009
123	Shin Kashimura, Makoto Takei, Shugo Tohyama, Hisayuki Hashimoto, Toru Egashira, Yoko Tanimoto, 2 Saori Mizuno, 2 Shoma Tanaka, 3 Hironobu Okuno, 3 Kazuki Yamazawa, 4 Hideo … Google Scholar 👨‍🔬 A Kunitomi, S Yuasa, F Sugiyama, Y Saito, T Seki, D Kusumoto
124	Predicting Rapid Decline in Kidney Function Among Type 2 Diabetes Patients from Laboratory Tests: A Machine Learning Approach Google Scholar 👨‍🔬 E Nakahara, K Waki, H Kurasawa, I Mimura, T Seki, A Fujino, N Shiomi, ... 📚 Available at SSRN 4854878, 0
125	公募シンポジウム 5 リアルワールドエビデンスを創出するための臨床中核指定病院ネットワークの取り組み Google Scholar 👨‍🔬 T Seki, S Nagashima, K Ohe
126	Data-Driven Drug Repurposing to Prevent Chemotherapy-Induced Adverse Events: Natural Language Processing of Real-World Clinical Notes Google Scholar 👨‍🔬 M Tsuchiya, M Inoue, Y Kawazoe, K Shimamoto, T Seki, S Imai, H Kizaki, ... 📚 Available at SSRN 5298851, 0

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Tomohisa Seki

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126

2022

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318

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