Kazuhiro Takekoshi
- Molecular Biology
- Surgery top 10%
- Physiology top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Epidemiology top 10%
- Co-authors
- Kazumasa IsobeYasushi KawakamiKiyo‐aki IshiiToshiaki NakaiToru NanmokuTakehito SugasawaFumio NomuraQin Zeng
- Topics
- Adrenal and Paraganglionic Tumors (29 papers)Cancer, Hypoxia, and Metabolism (28 papers)Hormonal Regulation and Hypertension (19 papers)
- Journals
- Journal of Biological ChemistrySHILAP Revista de lepidopterologíaNano Letters
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Kazuhiro Takekoshi
119 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 97
- Molecular Biology 588
- Surgery 423
- Physiology 388
- Endocrinology, Diabetes and Metabolism 368
- Epidemiology 347
Countries citing papers authored by Kazuhiro Takekoshi
This map shows the geographic impact of Kazuhiro Takekoshi'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 Kazuhiro Takekoshi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kazuhiro Takekoshi more than expected).
Fields of papers citing papers by Kazuhiro Takekoshi
This network shows the impact of papers produced by Kazuhiro Takekoshi. 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 Kazuhiro Takekoshi. The network helps show where Kazuhiro Takekoshi may publish in the future.
Co-authorship network of co-authors of Kazuhiro Takekoshi
This figure shows the co-authorship network connecting the top 25 collaborators of Kazuhiro Takekoshi. A scholar is included among the top collaborators of Kazuhiro Takekoshi 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 Kazuhiro Takekoshi. Kazuhiro Takekoshi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 33 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 30 | |
| 8 | 15 | |
| 9 | 13 | |
| 10 | 9 | |
| 11 | 12 | |
| 12 | 0 | |
| 13 | 12 | |
| 14 | 52 | |
| 15 | 28 | |
| 16 | 17 | |
| 17 | 40 | |
| 18 | 10 | |
| 19 | 14 | |
| 20 | 21 |
About Kazuhiro Takekoshi
Kazuhiro Takekoshi is a scholar working on Cancer Research, Endocrine and Autonomic Systems and Endocrinology, Diabetes and Metabolism, having authored 123 papers that have together received 1.7k indexed citations. Recurring topics across this work include Adrenal and Paraganglionic Tumors (29 papers), Cancer, Hypoxia, and Metabolism (28 papers) and Hormonal Regulation and Hypertension (19 papers). The work is most often cited by research in Endocrine and Autonomic Systems (261 citations), Endocrinology, Diabetes and Metabolism (368 citations) and Cancer Research (301 citations). Kazuhiro Takekoshi has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Kazumasa Isobe, Yasushi Kawakami, Kiyo‐aki Ishii, Toshiaki Nakai, Toru Nanmoku, Takehito Sugasawa, Fumio Nomura, Qin Zeng, Mitsuhide Naruse and Noriko Kimura. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Nano 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.