Kazuyasu Maruyama
- Molecular Biology
- Epidemiology
- Endocrinology, Diabetes and Metabolism top 10%
- Cardiology and Cardiovascular Medicine
- Urology top 5%
- Co-authors
- Yoshinobu YamazakiNobuo ShibataShigeru NakanoYoichi InadaJunji KurodaToru TamuraTatsuya NagasawaHiroshi Kusama
- Topics
- Cardiac electrophysiology and arrhythmias (9 papers)Urinary Bladder and Prostate Research (9 papers)Ion channel regulation and function (5 papers)
- Journals
- Journal of Pharmacology and Experimental TherapeuticsBritish Journal of PharmacologyAmerican Journal of Physiology-Endocrinology and Metabolism
- Partner nations
- JapanUnited States
In The Last Decade
Kazuyasu Maruyama
26 papers receiving 517 citations
Peers
Comparison fields: 5 of 73
- Molecular Biology 230
- Epidemiology 218
- Endocrinology, Diabetes and Metabolism 115
- Cardiology and Cardiovascular Medicine 102
- Urology 87
Countries citing papers authored by Kazuyasu Maruyama
This map shows the geographic impact of Kazuyasu Maruyama'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 Kazuyasu Maruyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kazuyasu Maruyama more than expected).
Fields of papers citing papers by Kazuyasu Maruyama
This network shows the impact of papers produced by Kazuyasu Maruyama. 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 Kazuyasu Maruyama. The network helps show where Kazuyasu Maruyama may publish in the future.
Co-authorship network of co-authors of Kazuyasu Maruyama
This figure shows the co-authorship network connecting the top 25 collaborators of Kazuyasu Maruyama. A scholar is included among the top collaborators of Kazuyasu Maruyama 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 Kazuyasu Maruyama. Kazuyasu Maruyama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 11 | |
| 3 | 10 | |
| 4 | 15 | |
| 5 | 15 | |
| 6 | 24 | |
| 7 | 21 | |
| 8 | 20 | |
| 9 | 6 | |
| 10 | 34 | |
| 11 | 5 | |
| 12 | 14 | |
| 13 | 199 | |
| 14 | 32 | |
| 15 | 6 | |
| 16 | 7 | |
| 17 | 31 | |
| 18 | 0 | |
| 19 | 6 | |
| 20 | 15 |
About Kazuyasu Maruyama
Kazuyasu Maruyama is a scholar working on Urology, Cardiology and Cardiovascular Medicine and Pathology and Forensic Medicine, having authored 27 papers that have together received 532 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (9 papers), Urinary Bladder and Prostate Research (9 papers) and Ion channel regulation and function (5 papers). The work is most often cited by research in Urology (87 citations), Endocrinology, Diabetes and Metabolism (115 citations) and Epidemiology (218 citations). Kazuyasu Maruyama has collaborated with scholars based in Japan and United States. Frequent co-authors include Yoshinobu Yamazaki, Nobuo Shibata, Shigeru Nakano, Yoichi Inada, Junji Kuroda, Toru Tamura, Tatsuya Nagasawa, Hiroshi Kusama, Satoshi Tatemichi and Hiroko Hashizume. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, British Journal of Pharmacology and American Journal of Physiology-Endocrinology and 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.