Kazunobu Nishimura
- Cardiology and Cardiovascular Medicine top 2%
- Surgery top 5%
- Biomedical Engineering top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Molecular Biology
- Co-authors
- Masashi KomedaToshihiko BanKeiichi TambaraKazuwa NakaoYutaka SakakibaraAkira SugawaraEiji TadamuraFanglin Lu
- Topics
- Cardiac Valve Diseases and Treatments (26 papers)Mechanical Circulatory Support Devices (26 papers)Cardiac Structural Anomalies and Repair (25 papers)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Kazunobu Nishimura
123 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 108
- Cardiology and Cardiovascular Medicine 1.1k
- Surgery 945
- Biomedical Engineering 512
- Radiology, Nuclear Medicine and Imaging 382
- Molecular Biology 366
Countries citing papers authored by Kazunobu Nishimura
This map shows the geographic impact of Kazunobu Nishimura'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 Kazunobu Nishimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kazunobu Nishimura more than expected).
Fields of papers citing papers by Kazunobu Nishimura
This network shows the impact of papers produced by Kazunobu Nishimura. 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 Kazunobu Nishimura. The network helps show where Kazunobu Nishimura may publish in the future.
Co-authorship network of co-authors of Kazunobu Nishimura
This figure shows the co-authorship network connecting the top 25 collaborators of Kazunobu Nishimura. A scholar is included among the top collaborators of Kazunobu Nishimura 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 Kazunobu Nishimura. Kazunobu Nishimura 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 | 2 | |
| 3 | 30 | |
| 4 | 3 | |
| 5 | 10 | |
| 6 | 17 | |
| 7 | 17 | |
| 8 | 3 | |
| 9 | 30 | |
| 10 | 107 | |
| 11 | 10 | |
| 12 | 0 | |
| 13 | 5 | |
| 14 | 8 | |
| 15 | 1 | |
| 16 | 72 | |
| 17 | 39 | |
| 18 | Significance of α-human atrial nątriuretic polypeptide as a hormone in humans | 34 |
| 19 | Coronary artery bypass grafting combined with intracardiac procedures | 1 |
| 20 | AORTO-CORONARY BYPASS SURGERY FOR VASOSPASTIC ANGINA : Ischemic heart disease : FREE COMMUNICATIONS (Abstract) : 45 Annual Scientific Meeting, Japanese Circulation Society | 1 |
About Kazunobu Nishimura
Kazunobu Nishimura is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Microbiology, having authored 128 papers that have together received 2.4k indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (26 papers), Mechanical Circulatory Support Devices (26 papers) and Cardiac Structural Anomalies and Repair (25 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.1k citations), Surgery (945 citations) and Biomaterials (219 citations). Kazunobu Nishimura has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Masashi Komeda, Toshihiko Ban, Keiichi Tambara, Kazuwa Nakao, Yutaka Sakakibara, Akira Sugawara, Eiji Tadamura, Fanglin Lu, Hiroo Imura and Teruaki AKAMATSU. Their work appears in journals such as Circulation, Journal of Clinical Investigation and Journal of the American College of Cardiology.
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.