Mitsunobu Matsubara
- Cardiology and Cardiovascular Medicine top 1%
- Molecular Biology top 10%
- Endocrinology, Diabetes and Metabolism top 2%
- Surgery top 5%
- Physiology top 5%
- Co-authors
- Yutaka ImaiMari MichimataAtsushi HozawaIchiro TsujiMasahiro KikuyaHiroshi SatohTsutomu ArakiTakayoshi Ohkubo
- Topics
- Blood Pressure and Hypertension Studies (21 papers)Ion Transport and Channel Regulation (17 papers)Hormonal Regulation and Hypertension (16 papers)
- Cited by
- Cardiology and Cardiovascular MedicineEndocrinology, Diabetes and MetabolismEndocrine and Autonomic Systems
- Journals
- Journal of Biological ChemistryJournal of Clinical InvestigationSHILAP Revista de lepidopterología
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Mitsunobu Matsubara
105 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Cardiology and Cardiovascular Medicine 2.1k
- Molecular Biology 708
- Endocrinology, Diabetes and Metabolism 556
- Surgery 548
- Physiology 405
Countries citing papers authored by Mitsunobu Matsubara
This map shows the geographic impact of Mitsunobu Matsubara'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 Mitsunobu Matsubara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mitsunobu Matsubara more than expected).
Fields of papers citing papers by Mitsunobu Matsubara
This network shows the impact of papers produced by Mitsunobu Matsubara. 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 Mitsunobu Matsubara. The network helps show where Mitsunobu Matsubara may publish in the future.
Co-authorship network of co-authors of Mitsunobu Matsubara
This figure shows the co-authorship network connecting the top 25 collaborators of Mitsunobu Matsubara. A scholar is included among the top collaborators of Mitsunobu Matsubara 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 Mitsunobu Matsubara. Mitsunobu Matsubara is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 13 | |
| 3 | 16 | |
| 4 | 22 | |
| 5 | 30 | |
| 6 | 8 | |
| 7 | 3 | |
| 8 | 40 | |
| 9 | 42 | |
| 10 | 43 | |
| 11 | 36 | |
| 12 | 26 | |
| 13 | 19 | |
| 14 | 9 | |
| 15 | 15 | |
| 16 | 4 | |
| 17 | 35 | |
| 18 | 14 | |
| 19 | 68 | |
| 20 | 1 |
About Mitsunobu Matsubara
Mitsunobu Matsubara is a scholar working on Nephrology, Cardiology and Cardiovascular Medicine and Endocrinology, Diabetes and Metabolism, having authored 105 papers that have together received 4.0k indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (21 papers), Ion Transport and Channel Regulation (17 papers) and Hormonal Regulation and Hypertension (16 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (2.1k citations), Endocrinology, Diabetes and Metabolism (556 citations) and Endocrine and Autonomic Systems (203 citations). Mitsunobu Matsubara has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Yutaka Imai, Mari Michimata, Atsushi Hozawa, Ichiro Tsuji, Masahiro Kikuya, Hiroshi Satoh, Tsutomu Araki, Takayoshi Ohkubo, Shigeru Hisamichi and Junichiro Hashimoto. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and SHILAP Revista de lepidopterología.
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.