Tatsuya Usui
- Physiology top 10%
- Endocrine and Autonomic Systems top 5%
- Cardiology and Cardiovascular Medicine
- Clinical Psychology top 10%
- Public Health, Environmental and Occupational Health
- Co-authors
- Shin-ya UedaTakahiro YoshikawaShigeo FujimotoYoshihiro KatsuraHayato NakaoHiroshi SakamotoMamiko YoshimuraKenji Kurosaki
- Topics
- Cardiac electrophysiology and arrhythmias (5 papers)Cardiac Arrhythmias and Treatments (3 papers)Exercise and Physiological Responses (3 papers)
- Cited by
- Endocrine and Autonomic SystemsPhysical Therapy, Sports Therapy and RehabilitationPhysiology
- Journals
- SHILAP Revista de lepidopterologíaMedicine & Science in Sports & ExerciseJournal of Endocrinology
In The Last Decade
Tatsuya Usui
23 papers receiving 583 citations
Peers
Comparison fields: 5 of 86
- Physiology 233
- Endocrine and Autonomic Systems 167
- Cardiology and Cardiovascular Medicine 124
- Clinical Psychology 113
- Public Health, Environmental and Occupational Health 95
Countries citing papers authored by Tatsuya Usui
This map shows the geographic impact of Tatsuya Usui's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Tatsuya Usui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tatsuya Usui more than expected).
Fields of papers citing papers by Tatsuya Usui
This network shows the impact of papers produced by Tatsuya Usui. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Tatsuya Usui. The network helps show where Tatsuya Usui may publish in the future.
Co-authorship network of co-authors of Tatsuya Usui
This figure shows the co-authorship network connecting the top 25 collaborators of Tatsuya Usui. A scholar is included among the top collaborators of Tatsuya Usui based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tatsuya Usui. Tatsuya Usui is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 11 | |
| 3 | 13 | |
| 4 | 24 | |
| 5 | 8 | |
| 6 | 37 | |
| 7 | 7 | |
| 8 | 18 | |
| 9 | 2 | |
| 10 | 92 | |
| 11 | 143 | |
| 12 | 131 | |
| 13 | 0 | |
| 14 | 40 | |
| 15 | 2 | |
| 16 | [Fulminant myocarditis successfully treated with a left ventricular assist device: a case report]. | 1 |
| 17 | 2 | |
| 18 | 9 | |
| 19 | 16 | |
| 20 | 25 |
About Tatsuya Usui
Tatsuya Usui is a scholar working on Rehabilitation, Physical Therapy, Sports Therapy and Rehabilitation and Endocrine and Autonomic Systems, having authored 26 papers that have together received 605 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (5 papers), Cardiac Arrhythmias and Treatments (3 papers) and Exercise and Physiological Responses (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (167 citations), Physical Therapy, Sports Therapy and Rehabilitation (46 citations) and Physiology (233 citations). Tatsuya Usui has collaborated with scholars based in Japan and France. Frequent co-authors include Shin-ya Ueda, Takahiro Yoshikawa, Shigeo Fujimoto, Yoshihiro Katsura, Hayato Nakao, Hiroshi Sakamoto, Mamiko Yoshimura, Kenji Kurosaki, Aiko Sugiyasu and Shoichi Kubota. Their work appears in journals such as SHILAP Revista de lepidopterología, Medicine & Science in Sports & Exercise and Journal of Endocrinology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.