Ryosuke Takeda
- Cardiology and Cardiovascular Medicine top 5%
- Endocrinology, Diabetes and Metabolism top 2%
- Molecular Biology
- Surgery top 10%
- Endocrine and Autonomic Systems top 2%
- Co-authors
- Isamu MiyamoriA. HajiYoshiyu TakedaHiromitsu HatakeyamaHiroshi YamamotoTomoyuki FujitaJohn E. RemmersKazunobu Okazaki
- Topics
- Heart Rate Variability and Autonomic Control (23 papers)Cardiovascular and exercise physiology (19 papers)Neuroscience of respiration and sleep (14 papers)
- Cited by
- Endocrine and Autonomic SystemsEndocrinology, Diabetes and MetabolismCardiology and Cardiovascular Medicine
- Journals
- Journal of Biological ChemistryThe Journal of Clinical Endocrinology & MetabolismThe Journal of Physiology
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Ryosuke Takeda
91 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 118
- Cardiology and Cardiovascular Medicine 485
- Endocrinology, Diabetes and Metabolism 450
- Molecular Biology 335
- Surgery 317
- Endocrine and Autonomic Systems 296
Countries citing papers authored by Ryosuke Takeda
This map shows the geographic impact of Ryosuke Takeda'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 Ryosuke Takeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryosuke Takeda more than expected).
Fields of papers citing papers by Ryosuke Takeda
This network shows the impact of papers produced by Ryosuke Takeda. 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 Ryosuke Takeda. The network helps show where Ryosuke Takeda may publish in the future.
Co-authorship network of co-authors of Ryosuke Takeda
This figure shows the co-authorship network connecting the top 25 collaborators of Ryosuke Takeda. A scholar is included among the top collaborators of Ryosuke Takeda 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 Ryosuke Takeda. Ryosuke Takeda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 5 | |
| 7 | 3 | |
| 8 | 3 | |
| 9 | 2 | |
| 10 | 0 | |
| 11 | 26 | |
| 12 | 4 | |
| 13 | 15 | |
| 14 | 6 | |
| 15 | 9 | |
| 16 | 1 | |
| 17 | 14 | |
| 18 | 19 | |
| 19 | 16 | |
| 20 | 15 |
About Ryosuke Takeda
Ryosuke Takeda is a scholar working on Complementary and alternative medicine, Endocrine and Autonomic Systems and Rehabilitation, having authored 101 papers that have together received 1.6k indexed citations. Recurring topics across this work include Heart Rate Variability and Autonomic Control (23 papers), Cardiovascular and exercise physiology (19 papers) and Neuroscience of respiration and sleep (14 papers). The work is most often cited by research in Endocrine and Autonomic Systems (296 citations), Endocrinology, Diabetes and Metabolism (450 citations) and Cardiology and Cardiovascular Medicine (485 citations). Ryosuke Takeda has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Isamu Miyamori, A. Haji, Yoshiyu Takeda, Hiromitsu Hatakeyama, Hiroshi Yamamoto, Tomoyuki Fujita, John E. Remmers, Kazunobu Okazaki, Hisayo Yokoyama and Daiki Imai. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Clinical Endocrinology & Metabolism and The Journal of Physiology.
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.