Tsuyoshi Ohmura
- Molecular Biology
- Cellular and Molecular Neuroscience top 5%
- Physiology top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Cardiology and Cardiovascular Medicine
- Co-authors
- Ikunobu MuramatsuShigeru KigoshiMasafumi OshitaShigeki HashimotoToshihiro HayashiHisashi SatohBirgit JungMotohiko Chachin
- Topics
- Receptor Mechanisms and Signaling (12 papers)Ion channel regulation and function (7 papers)Cardiac electrophysiology and arrhythmias (6 papers)
- Journals
- The Journal of PhysiologyJournal of Pharmacology and Experimental TherapeuticsBritish Journal of Pharmacology
- Partner nations
- JapanGermanyUnited States
In The Last Decade
Tsuyoshi Ohmura
30 papers receiving 823 citations
Peers
Comparison fields: 5 of 77
- Molecular Biology 485
- Cellular and Molecular Neuroscience 285
- Physiology 259
- Endocrinology, Diabetes and Metabolism 164
- Cardiology and Cardiovascular Medicine 121
Countries citing papers authored by Tsuyoshi Ohmura
This map shows the geographic impact of Tsuyoshi Ohmura'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 Tsuyoshi Ohmura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tsuyoshi Ohmura more than expected).
Fields of papers citing papers by Tsuyoshi Ohmura
This network shows the impact of papers produced by Tsuyoshi Ohmura. 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 Tsuyoshi Ohmura. The network helps show where Tsuyoshi Ohmura may publish in the future.
Co-authorship network of co-authors of Tsuyoshi Ohmura
This figure shows the co-authorship network connecting the top 25 collaborators of Tsuyoshi Ohmura. A scholar is included among the top collaborators of Tsuyoshi Ohmura 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 Tsuyoshi Ohmura. Tsuyoshi Ohmura 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 | 28 | |
| 3 | 18 | |
| 4 | 15 | |
| 5 | 31 | |
| 6 | 20 | |
| 7 | 15 | |
| 8 | 36 | |
| 9 | 8 | |
| 10 | 22 | |
| 11 | 10 | |
| 12 | 14 | |
| 13 | 68 | |
| 14 | 3 | |
| 15 | 58 | |
| 16 | 2 | |
| 17 | 5 | |
| 18 | 8 | |
| 19 | 290 | |
| 20 | 19 |
About Tsuyoshi Ohmura
Tsuyoshi Ohmura is a scholar working on Biochemistry, Cellular and Molecular Neuroscience and Endocrinology, Diabetes and Metabolism, having authored 30 papers that have together received 846 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (12 papers), Ion channel regulation and function (7 papers) and Cardiac electrophysiology and arrhythmias (6 papers). The work is most often cited by research in Urology (119 citations), Cellular and Molecular Neuroscience (285 citations) and Dermatology (98 citations). Tsuyoshi Ohmura has collaborated with scholars based in Japan, Germany and United States. Frequent co-authors include Ikunobu Muramatsu, Shigeru Kigoshi, Masafumi Oshita, Shigeki Hashimoto, Toshihiro Hayashi, Hisashi Satoh, Birgit Jung, Ikunobu Muramatsu, Motohiko Chachin and Matomo Nishio. Their work appears in journals such as The Journal of Physiology, Journal of Pharmacology and Experimental Therapeutics and British Journal of Pharmacology.
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.