Ryoyu Takeda
- Surgery top 2%
- Endocrinology, Diabetes and Metabolism top 1%
- Cardiology and Cardiovascular Medicine top 2%
- Molecular Biology top 10%
- Cancer Research top 10%
- Co-authors
- Hiroshi MabuchiJunji KoizumiIsamu MiyamoriYasuyuki SakaiYoshiyu TakedaTakanobu WAKASUGITakashi YonedaNorihiko Sugihara
- Topics
- Hormonal Regulation and Hypertension (36 papers)Lipoproteins and Cardiovascular Health (18 papers)Cardiovascular Function and Risk Factors (14 papers)
- Partner nations
- JapanUnited StatesGreece
In The Last Decade
Ryoyu Takeda
145 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 96
- Surgery 1.3k
- Endocrinology, Diabetes and Metabolism 1.2k
- Cardiology and Cardiovascular Medicine 797
- Molecular Biology 699
- Cancer Research 298
Countries citing papers authored by Ryoyu Takeda
This map shows the geographic impact of Ryoyu 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 Ryoyu Takeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryoyu Takeda more than expected).
Fields of papers citing papers by Ryoyu Takeda
This network shows the impact of papers produced by Ryoyu 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 Ryoyu Takeda. The network helps show where Ryoyu Takeda may publish in the future.
Co-authorship network of co-authors of Ryoyu Takeda
This figure shows the co-authorship network connecting the top 25 collaborators of Ryoyu Takeda. A scholar is included among the top collaborators of Ryoyu 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 Ryoyu Takeda. Ryoyu 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 | 2 | |
| 3 | 2 | |
| 4 | 12 | |
| 5 | 21 | |
| 6 | 74 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 15 | |
| 11 | -0954-ABDOMINAL ARTIC ANEURYSM OF FAMILIAL HYPERCHOLESTEROLEMIA : THE 54th ANNUAL SCIENTIFIC MEETING OF THE JAPANESE CIRCULATION SOCIETY | 1 |
| 12 | 1 | |
| 13 | 2 | |
| 14 | 7 | |
| 15 | Effect of a New Aldose Reductase Inhibitor, Ponalrestat, on Reduction of Red Blood Cell Sorbitol Level in Diabetics | 2 |
| 16 | 58 | |
| 17 | 6 | |
| 18 | 3 | |
| 19 | 4 | |
| 20 | 5 |
About Ryoyu Takeda
Ryoyu Takeda is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Biochemistry, having authored 152 papers that have together received 2.9k indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (36 papers), Lipoproteins and Cardiovascular Health (18 papers) and Cardiovascular Function and Risk Factors (14 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.2k citations), Cardiology and Cardiovascular Medicine (797 citations) and Surgery (1.3k citations). Ryoyu Takeda has collaborated with scholars based in Japan, United States and Greece. Frequent co-authors include Hiroshi Mabuchi, Junji Koizumi, Isamu Miyamori, Yasuyuki Sakai, Yoshiyu Takeda, Takanobu WAKASUGI, Takashi Yoneda, Norihiko Sugihara, Takeshi Sakai and Akira Yoshimura. Their work appears in journals such as Nature, New England Journal of Medicine and Journal of Clinical Investigation.
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.