Sei Mukai
Impact in
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- Biomarkers in Disease Mechanisms
-
- Cardiac Imaging and Diagnostics
Papers in
- Surgery 3
- Kawasaki Disease and Coronary Complications 1
- Pancreatic function and diabetes 1
- Coronary Interventions and Diagnostics 1
- Co-authors
- Mamoo Nakamura (3 shared papers)Hideo Nishikawa (3 shared papers)Takeshi Nakano (2 shared papers)Yutaka Kakuta (3 shared papers)Morimichi Setsuda (3 shared papers)Hiroyuki Suzuki (3 shared papers)Alan C. Yeung (2 shared papers)Takahiro Ohnishi (2 shared papers)
- Journals
- Arteriosclerosis Thrombosis and Vascular Biology (1 paper)Circulation Journal (1 paper)Diabetes Obesity and Metabolism (1 paper)The American Journal of Cardiology (1 paper)Journal of the American College of Cardiology (1 paper)
- Partner nations
- JapanUnited StatesItaly
In The Last Decade
Sei Mukai
5 papers receiving 475 citations
Peers
Comparison fields: 5 of 31
- Immunology 181
- Radiology, Nuclear Medicine and Imaging 119
- Surgery 167
- Cardiology and Cardiovascular Medicine 79
- Endocrinology, Diabetes and Metabolism 32
Countries citing papers authored by Sei Mukai
This map shows the geographic impact of Sei Mukai'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 Sei Mukai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sei Mukai more than expected).
Fields of papers citing papers by Sei Mukai
This network shows the impact of papers produced by Sei Mukai. 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 Sei Mukai. The network helps show where Sei Mukai may publish in the future.
Co-authors
The 25 scholars most cited alongside Sei Mukai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 235 | |
| 2 | 2006 | 195 | |
| 3 | 2018 | 37 | |
| 4 | 2003 | 15 | |
| 5 | 1999 | 6 |
About Sei Mukai
Sei Mukai is a scholar working on Surgery, Molecular Biology, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging, having authored 5 papers that have together received 488 indexed citations. Recurring topics across this work include Biomarkers in Disease Mechanisms (1 paper), Aortic aneurysm repair treatments (1 paper), Kawasaki Disease and Coronary Complications (1 paper), Acute Myocardial Infarction Research (1 paper), Coronary Artery Anomalies (1 paper), Pancreatic function and diabetes (1 paper), Coronary Interventions and Diagnostics (1 paper) and Diabetes Treatment and Management (1 paper). The work is most often cited by research in Immunology (181 citations), Radiology, Nuclear Medicine and Imaging (119 citations), Surgery (167 citations), Cardiology and Cardiovascular Medicine (79 citations) and Endocrinology, Diabetes and Metabolism (32 citations). Sei Mukai has collaborated with scholars based in Japan, United States and Italy. Frequent co-authors include Mamoo Nakamura, Hideo Nishikawa, Takeshi Nakano, Yutaka Kakuta, Morimichi Setsuda, Hiroyuki Suzuki, Alan C. Yeung, Takahiro Ohnishi, Kazuki Nakajima and Alberto Mantovani. Their work appears in journals such as Arteriosclerosis Thrombosis and Vascular Biology, Circulation Journal, Diabetes Obesity and Metabolism, The American Journal of Cardiology 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.