Ryoyu Takeda
- Endocrinology, Diabetes and Metabolism top 2%
- Surgery top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Molecular Biology
- Epidemiology
- Co-authors
- Hiroshi MabuchiIsamu MiyamoriYoshiyu TakedaJunji KoizumiTakashi YonedaMitsuaki TAKEDAIchiro MichishitaHajime Fujita
- Topics
- Hormonal Regulation and Hypertension (16 papers)Lipoproteins and Cardiovascular Health (11 papers)Eicosanoids and Hypertension Pharmacology (5 papers)
- Journals
- The Journal of Clinical Endocrinology & MetabolismBiochemical and Biophysical Research CommunicationsFEBS Letters
- Partner nations
- JapanSouth Africa
In The Last Decade
Ryoyu Takeda
54 papers receiving 924 citations
Peers
Comparison fields: 5 of 87
- Endocrinology, Diabetes and Metabolism 481
- Surgery 414
- Cardiology and Cardiovascular Medicine 209
- Molecular Biology 186
- Epidemiology 77
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 | 18 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 29 | |
| 5 | 7 | |
| 6 | 36 | |
| 7 | 20 | |
| 8 | 24 | |
| 9 | 20 | |
| 10 | 14 | |
| 11 | 0 | |
| 12 | 137 | |
| 13 | 30 | |
| 14 | 15 | |
| 15 | 2 | |
| 16 | 1 | |
| 17 | BMHD in RV | 3 |
| 18 | 27 | |
| 19 | 2 | |
| 20 | 1 |
About Ryoyu Takeda
Ryoyu Takeda is a scholar working on Endocrinology, Diabetes and Metabolism, Biochemistry and Cardiology and Cardiovascular Medicine, having authored 57 papers that have together received 973 indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (16 papers), Lipoproteins and Cardiovascular Health (11 papers) and Eicosanoids and Hypertension Pharmacology (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (481 citations), Surgery (414 citations) and Cardiology and Cardiovascular Medicine (209 citations). Ryoyu Takeda has collaborated with scholars based in Japan and South Africa. Frequent co-authors include Hiroshi Mabuchi, Isamu Miyamori, Yoshiyu Takeda, Junji Koizumi, Takashi Yoneda, Mitsuaki TAKEDA, Ichiro Michishita, Hajime Fujita, Kenji Furukawa and Satoshi Takada. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Biochemical and Biophysical Research Communications and FEBS Letters.
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.