Katsuhiro Matsuda
- Co-authors
- Perry V. HalushkaRajesh S. MathurThomas A. MorinelliAlbert L. RuffAkira MasudaKarsten SchrörKazuaki ShimamotoMichael E. Ullian
- Topics
- Hormonal and reproductive studies (6 papers)Receptor Mechanisms and Signaling (6 papers)Inflammatory mediators and NSAID effects (3 papers)
- Journals
- American Journal of Physiology-Endocrinology and MetabolismAmerican Journal of Physiology-Heart and Circulatory PhysiologyJournal of Hypertension
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Katsuhiro Matsuda
15 papers receiving 245 citations
Peers
Comparison fields: 5 of 55
- Endocrinology, Diabetes and Metabolism 158
- Molecular Biology 67
- Physiology 46
- Genetics 46
- Pharmacology 43
Countries citing papers authored by Katsuhiro Matsuda
This map shows the geographic impact of Katsuhiro Matsuda'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 Katsuhiro Matsuda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katsuhiro Matsuda more than expected).
Fields of papers citing papers by Katsuhiro Matsuda
This network shows the impact of papers produced by Katsuhiro Matsuda. 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 Katsuhiro Matsuda. The network helps show where Katsuhiro Matsuda may publish in the future.
Co-authorship network of co-authors of Katsuhiro Matsuda
This figure shows the co-authorship network connecting the top 25 collaborators of Katsuhiro Matsuda. A scholar is included among the top collaborators of Katsuhiro Matsuda 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 Katsuhiro Matsuda. Katsuhiro Matsuda 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 | 4 | |
| 3 | 15 | |
| 4 | Androgen regulation of thromboxane A2 receptors. | 1 |
| 5 | Effects of an angiotensin II receptor antagonist, TCV-116, on insulin sensitivity in fructose-fed rats. | 8 |
| 6 | The Gordon Wilson Lecture. Regulation of thromboxane A2 receptors by testosterone: implications for steroid abuse and cardiovascular disease. | 5 |
| 7 | 71 | |
| 8 | 71 | |
| 9 | 17 | |
| 10 | 4 | |
| 11 | 4 | |
| 12 | 8 | |
| 13 | RS-5186, a novel, long-acting thromboxane synthetase inhibitor. | 4 |
| 14 | 9 | |
| 15 | 5 |
About Katsuhiro Matsuda
Katsuhiro Matsuda is a scholar working on Endocrinology, Diabetes and Metabolism, Animal Science and Zoology and Pharmacology, having authored 15 papers that have together received 252 indexed citations. Recurring topics across this work include Hormonal and reproductive studies (6 papers), Receptor Mechanisms and Signaling (6 papers) and Inflammatory mediators and NSAID effects (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (158 citations), Pharmacology (43 citations) and Behavioral Neuroscience (9 citations). Katsuhiro Matsuda has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Perry V. Halushka, Rajesh S. Mathur, Thomas A. Morinelli, Albert L. Ruff, Akira Masuda, Karsten Schrör, Kazuaki Shimamoto, Michael E. Ullian, Emir Duzic and Osamu Iimura. Their work appears in journals such as American Journal of Physiology-Endocrinology and Metabolism, American Journal of Physiology-Heart and Circulatory Physiology and Journal of Hypertension.
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.