Mitsuhisa Komatsu
- Surgery top 2%
- Molecular Biology top 10%
- Endocrinology, Diabetes and Metabolism top 1%
- Genetics top 5%
- Physiology top 10%
- Co-authors
- Toru AizawaYoshihiko SatoGeoffrey W.G. SharpKiyoshi HashizumeThomas SchermerhornTakashi YamadaMasahiro TakeiTeiji Takeda
- Topics
- Pancreatic function and diabetes (53 papers)Metabolism, Diabetes, and Cancer (25 papers)Diabetes Management and Research (22 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- JapanUnited StatesDenmark
In The Last Decade
Mitsuhisa Komatsu
108 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 108
- Surgery 1.4k
- Molecular Biology 1.2k
- Endocrinology, Diabetes and Metabolism 1.0k
- Genetics 479
- Physiology 330
Countries citing papers authored by Mitsuhisa Komatsu
This map shows the geographic impact of Mitsuhisa Komatsu'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 Mitsuhisa Komatsu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mitsuhisa Komatsu more than expected).
Fields of papers citing papers by Mitsuhisa Komatsu
This network shows the impact of papers produced by Mitsuhisa Komatsu. 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 Mitsuhisa Komatsu. The network helps show where Mitsuhisa Komatsu may publish in the future.
Co-authorship network of co-authors of Mitsuhisa Komatsu
This figure shows the co-authorship network connecting the top 25 collaborators of Mitsuhisa Komatsu. A scholar is included among the top collaborators of Mitsuhisa Komatsu 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 Mitsuhisa Komatsu. Mitsuhisa Komatsu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 11 | |
| 6 | 6 | |
| 7 | 8 | |
| 8 | 6 | |
| 9 | 5 | |
| 10 | 1 | |
| 11 | 0 | |
| 12 | 0 | |
| 13 | 2 | |
| 14 | 52 | |
| 15 | 6 | |
| 16 | 22 | |
| 17 | 1 | |
| 18 | 94 | |
| 19 | 24 | |
| 20 | Dipyridamole reduces urinary albumin excretion in diabetic patients with normo- or microalbuminuria. | 18 |
About Mitsuhisa Komatsu
Mitsuhisa Komatsu is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Nephrology, having authored 114 papers that have together received 2.6k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (53 papers), Metabolism, Diabetes, and Cancer (25 papers) and Diabetes Management and Research (22 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.0k citations), Surgery (1.4k citations) and Physiology (139 citations). Mitsuhisa Komatsu has collaborated with scholars based in Japan, United States and Denmark. Frequent co-authors include Toru Aizawa, Yoshihiko Sato, Geoffrey W.G. Sharp, Kiyoshi Hashizume, Thomas Schermerhorn, Takashi Yamada, Masahiro Takei, Teiji Takeda, Keishi Yamauchi and T Aizawa. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.