Koichi Sugamura
- Cardiology and Cardiovascular Medicine top 1%
- Molecular Biology top 10%
- Surgery top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Immunology top 10%
- Co-authors
- John F. KeaneySeigo SugiyamaHisao OgawaToshimitsu NozakiYasushi MatsuzawaHitoshi SumidaKoichi KaikitaJunichi Matsubara
- Topics
- Cardiovascular Health and Disease Prevention (11 papers)Blood Pressure and Hypertension Studies (10 papers)Cardiovascular Disease and Adiposity (7 papers)
- Partner nations
- JapanUnited States
In The Last Decade
Koichi Sugamura
47 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Cardiology and Cardiovascular Medicine 1.3k
- Molecular Biology 758
- Surgery 564
- Endocrinology, Diabetes and Metabolism 431
- Immunology 386
Countries citing papers authored by Koichi Sugamura
This map shows the geographic impact of Koichi Sugamura'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 Koichi Sugamura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Koichi Sugamura more than expected).
Fields of papers citing papers by Koichi Sugamura
This network shows the impact of papers produced by Koichi Sugamura. 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 Koichi Sugamura. The network helps show where Koichi Sugamura may publish in the future.
Co-authorship network of co-authors of Koichi Sugamura
This figure shows the co-authorship network connecting the top 25 collaborators of Koichi Sugamura. A scholar is included among the top collaborators of Koichi Sugamura 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 Koichi Sugamura. Koichi Sugamura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 27 | |
| 2 | 0 | |
| 3 | 19 | |
| 4 | 231 | |
| 5 | 147 | |
| 6 | Reactive oxygen species in cardiovascular diseasebreakdown → | 626 |
| 7 | 2 | |
| 8 | 97 | |
| 9 | Abstract 14739: Dipeptidyl Peptidase-4 Inhibitor, Des-Fluoro-Sitagliptin (DFS), Improved Endothelial Function and Reduced Atherosclerotic Lesion Formation in Apolipoprotein E-deficient Mice | 1 |
| 10 | 88 | |
| 11 | 26 | |
| 12 | 173 | |
| 13 | 221 | |
| 14 | 101 | |
| 15 | 16 | |
| 16 | 1 | |
| 17 | 23 | |
| 18 | 43 | |
| 19 | 72 | |
| 20 | 6 |
About Koichi Sugamura
Koichi Sugamura is a scholar working on Cardiology and Cardiovascular Medicine, Internal Medicine and Immunology, having authored 48 papers that have together received 3.0k indexed citations. Recurring topics across this work include Cardiovascular Health and Disease Prevention (11 papers), Blood Pressure and Hypertension Studies (10 papers) and Cardiovascular Disease and Adiposity (7 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.3k citations), Endocrinology, Diabetes and Metabolism (431 citations) and Biochemistry (133 citations). Koichi Sugamura has collaborated with scholars based in Japan and United States. Frequent co-authors include John F. Keaney, Seigo Sugiyama, Hisao Ogawa, Toshimitsu Nozaki, Yasushi Matsuzawa, Hitoshi Sumida, Koichi Kaikita, Junichi Matsubara, Keisuke Ohba and Kunihiko Matsui. Their work appears in journals such as Circulation, Nature Medicine 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.