Katsuya Hata
- Cardiology and Cardiovascular Medicine top 5%
- Pathology and Forensic Medicine top 10%
- Physiology
- Molecular Biology
- Surgery
- Co-authors
- Mitsuhiro YokoyamaHideyuki TakaokaKarin PrzyklenkRobert A. KlonerMotoshi TakeuchiMasuki MoriPeter WhittakerYoichi Goto
- Topics
- Cardiovascular Function and Risk Factors (18 papers)Cardiac electrophysiology and arrhythmias (18 papers)Cardiomyopathy and Myosin Studies (9 papers)
- Cited by
- Cardiology and Cardiovascular MedicinePathology and Forensic MedicineDevelopmental Neuroscience
- Journals
- CirculationJournal of the American College of CardiologyAnnals of the New York Academy of Sciences
- Partner nations
- JapanUnited States
In The Last Decade
Katsuya Hata
43 papers receiving 866 citations
Peers
Comparison fields: 5 of 99
- Cardiology and Cardiovascular Medicine 518
- Pathology and Forensic Medicine 177
- Physiology 168
- Molecular Biology 157
- Surgery 109
Countries citing papers authored by Katsuya Hata
This map shows the geographic impact of Katsuya Hata'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 Katsuya Hata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katsuya Hata more than expected).
Fields of papers citing papers by Katsuya Hata
This network shows the impact of papers produced by Katsuya Hata. 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 Katsuya Hata. The network helps show where Katsuya Hata may publish in the future.
Co-authorship network of co-authors of Katsuya Hata
This figure shows the co-authorship network connecting the top 25 collaborators of Katsuya Hata. A scholar is included among the top collaborators of Katsuya Hata 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 Katsuya Hata. Katsuya Hata is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 18 | |
| 2 | 48 | |
| 3 | 7 | |
| 4 | 2 | |
| 5 | 28 | |
| 6 | 7 | |
| 7 | 2 | |
| 8 | 24 | |
| 9 | 54 | |
| 10 | 15 | |
| 11 | 15 | |
| 12 | 32 | |
| 13 | 17 | |
| 14 | 12 | |
| 15 | 7 | |
| 16 | 4 | |
| 17 | 12 | |
| 18 | 1 | |
| 19 | 27 | |
| 20 | 41 |
About Katsuya Hata
Katsuya Hata is a scholar working on Cardiology and Cardiovascular Medicine, Complementary and alternative medicine and Pathology and Forensic Medicine, having authored 43 papers that have together received 893 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (18 papers), Cardiac electrophysiology and arrhythmias (18 papers) and Cardiomyopathy and Myosin Studies (9 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (518 citations), Pathology and Forensic Medicine (177 citations) and Developmental Neuroscience (36 citations). Katsuya Hata has collaborated with scholars based in Japan and United States. Frequent co-authors include Mitsuhiro Yokoyama, Hideyuki Takaoka, Karin Przyklenk, Robert A. Kloner, Motoshi Takeuchi, Masuki Mori, Peter Whittaker, Yoichi Goto, Hiroyuki Suga and Toshiro Shinke. Their work appears in journals such as Circulation, Journal of the American College of Cardiology and Annals of the New York Academy of Sciences.
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.