Kazuhisa Takeuchi
- Molecular Biology top 10%
- Endocrinology, Diabetes and Metabolism top 2%
- Cardiology and Cardiovascular Medicine top 5%
- Physiology top 10%
- Surgery
- Co-authors
- Sadayoshi ItoAkira SugawaraAkira UrunoShuji ArimaMasataka KudoYukio IkedaYoshihiro TaniyamaKazunori Sato
- Topics
- Hormonal Regulation and Hypertension (15 papers)Ion Transport and Channel Regulation (11 papers)Eicosanoids and Hypertension Pharmacology (11 papers)
- Journals
- Journal of Biological ChemistryCirculationThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- JapanNew ZealandChina
In The Last Decade
Kazuhisa Takeuchi
72 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 102
- Molecular Biology 857
- Endocrinology, Diabetes and Metabolism 531
- Cardiology and Cardiovascular Medicine 451
- Physiology 349
- Surgery 235
Countries citing papers authored by Kazuhisa Takeuchi
This map shows the geographic impact of Kazuhisa Takeuchi'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 Kazuhisa Takeuchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kazuhisa Takeuchi more than expected).
Fields of papers citing papers by Kazuhisa Takeuchi
This network shows the impact of papers produced by Kazuhisa Takeuchi. 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 Kazuhisa Takeuchi. The network helps show where Kazuhisa Takeuchi may publish in the future.
Co-authorship network of co-authors of Kazuhisa Takeuchi
This figure shows the co-authorship network connecting the top 25 collaborators of Kazuhisa Takeuchi. A scholar is included among the top collaborators of Kazuhisa Takeuchi 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 Kazuhisa Takeuchi. Kazuhisa Takeuchi 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 | 45 | |
| 3 | 39 | |
| 4 | 21 | |
| 5 | 41 | |
| 6 | 62 | |
| 7 | 17 | |
| 8 | 23 | |
| 9 | 15 | |
| 10 | 41 | |
| 11 | 66 | |
| 12 | 4 | |
| 13 | 23 | |
| 14 | 12 | |
| 15 | 17 | |
| 16 | 6 | |
| 17 | Functional analysis and chromosomal gene assignment of rat kidney prostaglandin EP3 receptor. | 2 |
| 18 | 17 | |
| 19 | 2 | |
| 20 | 2 |
About Kazuhisa Takeuchi
Kazuhisa Takeuchi is a scholar working on Biochemistry, Nephrology and Endocrinology, Diabetes and Metabolism, having authored 72 papers that have together received 1.7k indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (15 papers), Ion Transport and Channel Regulation (11 papers) and Eicosanoids and Hypertension Pharmacology (11 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (531 citations), Nephrology (197 citations) and Biochemistry (196 citations). Kazuhisa Takeuchi has collaborated with scholars based in Japan, New Zealand and China. Frequent co-authors include Sadayoshi Ito, Akira Sugawara, Akira Uruno, Shuji Arima, Masataka Kudo, Yukio Ikeda, Yoshihiro Taniyama, Kazunori Sato, Susumu Ogawa and Kentaro Kohagura. Their work appears in journals such as Journal of Biological Chemistry, Circulation and The Journal of Clinical Endocrinology & Metabolism.
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.