Keisuke Shinohara
- Cardiology and Cardiovascular Medicine top 10%
- Endocrinology, Diabetes and Metabolism
- Molecular Biology
- Physiology
- Endocrine and Autonomic Systems top 10%
- Co-authors
- Yoshitaka HirookaTakuya KishiKenji SunagawaHiroyuki TsutsuiKenichi KatsuradaShinsuke NantoKazuomi KarioJiro Aoki
- Topics
- Heart Rate Variability and Autonomic Control (18 papers)Blood Pressure and Hypertension Studies (11 papers)Renin-Angiotensin System Studies (8 papers)
- Cited by
- Cardiology and Cardiovascular MedicineEndocrine and Autonomic SystemsEndocrinology, Diabetes and Metabolism
- Partner nations
- JapanUnited StatesBelarus
In The Last Decade
Keisuke Shinohara
39 papers receiving 459 citations
Peers
Comparison fields: 5 of 74
- Cardiology and Cardiovascular Medicine 270
- Endocrinology, Diabetes and Metabolism 96
- Molecular Biology 68
- Physiology 67
- Endocrine and Autonomic Systems 54
Countries citing papers authored by Keisuke Shinohara
This map shows the geographic impact of Keisuke Shinohara'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 Keisuke Shinohara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keisuke Shinohara more than expected).
Fields of papers citing papers by Keisuke Shinohara
This network shows the impact of papers produced by Keisuke Shinohara. 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 Keisuke Shinohara. The network helps show where Keisuke Shinohara may publish in the future.
Co-authorship network of co-authors of Keisuke Shinohara
This figure shows the co-authorship network connecting the top 25 collaborators of Keisuke Shinohara. A scholar is included among the top collaborators of Keisuke Shinohara 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 Keisuke Shinohara. Keisuke Shinohara is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 6 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 9 | |
| 10 | 0 | |
| 11 | 2 | |
| 12 | 53 | |
| 13 | 3 | |
| 14 | 3 | |
| 15 | 44 | |
| 16 | 33 | |
| 17 | 36 | |
| 18 | 15 | |
| 19 | 7 | |
| 20 | Arginine vasopressin release from in vitro suprachiasmatic slices is not different between young and old female rats | 1 |
About Keisuke Shinohara
Keisuke Shinohara is a scholar working on Cardiology and Cardiovascular Medicine, Endocrine and Autonomic Systems and Behavioral Neuroscience, having authored 47 papers that have together received 464 indexed citations. Recurring topics across this work include Heart Rate Variability and Autonomic Control (18 papers), Blood Pressure and Hypertension Studies (11 papers) and Renin-Angiotensin System Studies (8 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (270 citations), Endocrine and Autonomic Systems (54 citations) and Endocrinology, Diabetes and Metabolism (96 citations). Keisuke Shinohara has collaborated with scholars based in Japan, United States and Belarus. Frequent co-authors include Yoshitaka Hirooka, Takuya Kishi, Kenji Sunagawa, Hiroyuki Tsutsui, Kenichi Katsurada, Shinsuke Nanto, Kazuomi Kario, Jiro Aoki, Shouji Matsushima and Masataka Ikeda. Their work appears in journals such as Circulation, Scientific Reports and The FASEB Journal.
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.