Takumi Tanabe
- Cardiology and Cardiovascular Medicine top 2%
- Complementary and alternative medicine top 1%
- Physiology top 5%
- Molecular Biology
- Surgery
- Co-authors
- Seiji MaedaMitsuo MatsudaMotoyuki IemitsuRyuichi AjisakaJun SugawaraTakeshi OtsukiTakashi MiyauchiIwao Yamaguchi
- Topics
- Cardiovascular Health and Disease Prevention (16 papers)Heart Rate Variability and Autonomic Control (13 papers)Cardiovascular and exercise physiology (12 papers)
- Partner nations
- JapanIndiaUnited States
In The Last Decade
Takumi Tanabe
29 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 85
- Cardiology and Cardiovascular Medicine 750
- Complementary and alternative medicine 386
- Physiology 382
- Molecular Biology 153
- Surgery 121
Countries citing papers authored by Takumi Tanabe
This map shows the geographic impact of Takumi Tanabe'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 Takumi Tanabe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takumi Tanabe more than expected).
Fields of papers citing papers by Takumi Tanabe
This network shows the impact of papers produced by Takumi Tanabe. 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 Takumi Tanabe. The network helps show where Takumi Tanabe may publish in the future.
Co-authorship network of co-authors of Takumi Tanabe
This figure shows the co-authorship network connecting the top 25 collaborators of Takumi Tanabe. A scholar is included among the top collaborators of Takumi Tanabe 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 Takumi Tanabe. Takumi Tanabe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 9 | |
| 3 | 21 | |
| 4 | 12 | |
| 5 | 20 | |
| 6 | 23 | |
| 7 | 13 | |
| 8 | 50 | |
| 9 | 70 | |
| 10 | 127 | |
| 11 | 151 | |
| 12 | 188 | |
| 13 | 55 | |
| 14 | 92 | |
| 15 | 4 | |
| 16 | 13 | |
| 17 | 133 | |
| 18 | 41 | |
| 19 | 125 Non-invasive assessment of cardiac output during exercise : comparison between Modelflow method and Doppler echography method : | 2 |
| 20 | 207 Exercise training causes an increase in gene expression of eNOS in the aorta of old rats. : SAT project 44 | 1 |
About Takumi Tanabe
Takumi Tanabe is a scholar working on Complementary and alternative medicine, Cardiology and Cardiovascular Medicine and Physiology, having authored 30 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cardiovascular Health and Disease Prevention (16 papers), Heart Rate Variability and Autonomic Control (13 papers) and Cardiovascular and exercise physiology (12 papers). The work is most often cited by research in Complementary and alternative medicine (386 citations), Cardiology and Cardiovascular Medicine (750 citations) and Physiology (382 citations). Takumi Tanabe has collaborated with scholars based in Japan, India and United States. Frequent co-authors include Seiji Maeda, Mitsuo Matsuda, Motoyuki Iemitsu, Ryuichi Ajisaka, Jun Sugawara, Takeshi Otsuki, Takashi Miyauchi, Iwao Yamaguchi, Shinya Kuno and Masakatsu Takanashi. Their work appears in journals such as Circulation, Journal of Applied Physiology and Hypertension.
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.