Einosuke Mizuta
- Molecular Biology
- Nephrology top 2%
- Cardiology and Cardiovascular Medicine top 10%
- Pathology and Forensic Medicine
- Surgery
- Co-authors
- Ichiro HisatomeToshihiro HamadaOsamu IgawaAkira OhtaharaHaruaki NinomiyaTakayuki MorisakiHiroko MorisakiJunichiro Miake
- Topics
- Gout, Hyperuricemia, Uric Acid (17 papers)Pharmacological Effects of Natural Compounds (4 papers)Cardiomyopathy and Myosin Studies (4 papers)
In The Last Decade
Einosuke Mizuta
36 papers receiving 680 citations
Peers
Comparison fields: 5 of 81
- Molecular Biology 279
- Nephrology 270
- Cardiology and Cardiovascular Medicine 174
- Pathology and Forensic Medicine 114
- Surgery 98
Countries citing papers authored by Einosuke Mizuta
This map shows the geographic impact of Einosuke Mizuta'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 Einosuke Mizuta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Einosuke Mizuta more than expected).
Fields of papers citing papers by Einosuke Mizuta
This network shows the impact of papers produced by Einosuke Mizuta. 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 Einosuke Mizuta. The network helps show where Einosuke Mizuta may publish in the future.
Co-authorship network of co-authors of Einosuke Mizuta
This figure shows the co-authorship network connecting the top 25 collaborators of Einosuke Mizuta. A scholar is included among the top collaborators of Einosuke Mizuta 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 Einosuke Mizuta. Einosuke Mizuta 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 | 10 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 3 | |
| 6 | 44 | |
| 7 | 7 | |
| 8 | 9 | |
| 9 | 5 | |
| 10 | 23 | |
| 11 | 29 | |
| 12 | [Calcium antagonists: current and future applications based on new evidence. The mechanisms on lowering serum uric acid level by calcium channel blockers]. | 4 |
| 13 | 15 | |
| 14 | Sensitivity and Specificity of Denaturing HPLC to Detect MYBPC3 Gene Mutations in Hypertrophic Cardiomyopathy | 1 |
| 15 | 136 | |
| 16 | 76 | |
| 17 | 74 | |
| 18 | 3 | |
| 19 | 3 | |
| 20 | 8 |
About Einosuke Mizuta
Einosuke Mizuta is a scholar working on Nephrology, Pharmacology and Cardiology and Cardiovascular Medicine, having authored 38 papers that have together received 690 indexed citations. Recurring topics across this work include Gout, Hyperuricemia, Uric Acid (17 papers), Pharmacological Effects of Natural Compounds (4 papers) and Cardiomyopathy and Myosin Studies (4 papers). The work is most often cited by research in Nephrology (270 citations), Cardiology and Cardiovascular Medicine (174 citations) and Endocrine and Autonomic Systems (50 citations). Einosuke Mizuta has collaborated with scholars based in Japan, Indonesia and Mexico. Frequent co-authors include Ichiro Hisatome, Toshihiro Hamada, Osamu Igawa, Akira Ohtahara, Haruaki Ninomiya, Takayuki Morisaki, Hiroko Morisaki, Junichiro Miake, Masanari Kuwabara and Kazuhiko Sonoyama. Their work appears in journals such as PLoS ONE, Journal of Molecular Biology and Biochemical and Biophysical Research Communications.
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.