Tomohiko Ishikawa
- Molecular Biology
- Physiology top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Cardiology and Cardiovascular Medicine top 10%
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- Hiroyoshi HidakaMasatoshi HagiwaraKazutoshi KiuchiMariko SumiToshiharu NagatsuAkira IshiiToshio HayashiMasafumi Kuzuya
- Topics
- Nitric Oxide and Endothelin Effects (5 papers)Gout, Hyperuricemia, Uric Acid (3 papers)Case Reports on Hematomas (3 papers)
- Journals
- Biochemical and Biophysical Research CommunicationsJournal of Pharmacology and Experimental TherapeuticsJournal of Cerebral Blood Flow & Metabolism
- Partner nations
- JapanUnited Kingdom
In The Last Decade
Tomohiko Ishikawa
14 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 95
- Molecular Biology 495
- Physiology 313
- Endocrinology, Diabetes and Metabolism 263
- Cardiology and Cardiovascular Medicine 255
- Cellular and Molecular Neuroscience 223
Countries citing papers authored by Tomohiko Ishikawa
This map shows the geographic impact of Tomohiko Ishikawa'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 Tomohiko Ishikawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomohiko Ishikawa more than expected).
Fields of papers citing papers by Tomohiko Ishikawa
This network shows the impact of papers produced by Tomohiko Ishikawa. 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 Tomohiko Ishikawa. The network helps show where Tomohiko Ishikawa may publish in the future.
Co-authorship network of co-authors of Tomohiko Ishikawa
This figure shows the co-authorship network connecting the top 25 collaborators of Tomohiko Ishikawa. A scholar is included among the top collaborators of Tomohiko Ishikawa 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 Tomohiko Ishikawa. Tomohiko Ishikawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 26 | |
| 2 | 24 | |
| 3 | 14 | |
| 4 | 25 | |
| 5 | 348 | |
| 6 | 39 | |
| 7 | 69 | |
| 8 | 42 | |
| 9 | Influence of cyclosporine on glucose tolerance in rats. | 1 |
| 10 | 41 | |
| 11 | 445 | |
| 12 | 16 | |
| 13 | 48 | |
| 14 | 51 |
About Tomohiko Ishikawa
Tomohiko Ishikawa is a scholar working on Nephrology, Physiology and Endocrinology, Diabetes and Metabolism, having authored 14 papers that have together received 1.2k indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (5 papers), Gout, Hyperuricemia, Uric Acid (3 papers) and Case Reports on Hematomas (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (263 citations), Cellular and Molecular Neuroscience (223 citations) and Physiology (313 citations). Tomohiko Ishikawa has collaborated with scholars based in Japan and United Kingdom. Frequent co-authors include Hiroyoshi Hidaka, Masatoshi Hagiwara, Kazutoshi Kiuchi, Mariko Sumi, Toshiharu Nagatsu, Akira Ishii, Toshio Hayashi, Masafumi Kuzuya, Akihisa Iguchi and Hisashi Hidaka. Their work appears in journals such as Biochemical and Biophysical Research Communications, Journal of Pharmacology and Experimental Therapeutics and Journal of Cerebral Blood Flow & 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.