Masayuki Kambe
- Cardiology and Cardiovascular Medicine top 5%
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 5%
- Surgery
- Physiology top 10%
- Co-authors
- Tetsuya OshimaRyoji OzonoHideo MatsuuraGoro KajiyamaYukihito HigashiTakafumi IshidaYoko YanoYoshihiko Oishi
- Topics
- Renin-Angiotensin System Studies (9 papers)Magnesium in Health and Disease (7 papers)Hormonal Regulation and Hypertension (5 papers)
- Cited by
- Cardiology and Cardiovascular MedicineEndocrinology, Diabetes and MetabolismNutrition and Dietetics
- Partner nations
- JapanUnited States
In The Last Decade
Masayuki Kambe
57 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 106
- Cardiology and Cardiovascular Medicine 627
- Molecular Biology 424
- Endocrinology, Diabetes and Metabolism 343
- Surgery 254
- Physiology 254
Countries citing papers authored by Masayuki Kambe
This map shows the geographic impact of Masayuki Kambe'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 Masayuki Kambe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masayuki Kambe more than expected).
Fields of papers citing papers by Masayuki Kambe
This network shows the impact of papers produced by Masayuki Kambe. 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 Masayuki Kambe. The network helps show where Masayuki Kambe may publish in the future.
Co-authorship network of co-authors of Masayuki Kambe
This figure shows the co-authorship network connecting the top 25 collaborators of Masayuki Kambe. A scholar is included among the top collaborators of Masayuki Kambe 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 Masayuki Kambe. Masayuki Kambe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 121 | |
| 3 | FRS-163 Genetic ablation of Bach1, a critical transcriptional repressor of heme oxygenase-1, leads to myocardial protection against ischemia/reperfusion injury in mice(Coronary Heart Disease : Basic Science (IHD) : FRS20)(Featured Research Session (English)) | 1 |
| 4 | 49 | |
| 5 | Cardioprotective Role of AT2 Receptor in Post-Infarction Left Ventricular Remodeling | 3 |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 18 | |
| 9 | 20 | |
| 10 | 48 | |
| 11 | 4 | |
| 12 | 6 | |
| 13 | 34 | |
| 14 | 5 | |
| 15 | 2 | |
| 16 | 5 | |
| 17 | 9 | |
| 18 | 33 | |
| 19 | 7 | |
| 20 | 6 |
About Masayuki Kambe
Masayuki Kambe is a scholar working on Cardiology and Cardiovascular Medicine, Nutrition and Dietetics and Nephrology, having authored 58 papers that have together received 1.5k indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (9 papers), Magnesium in Health and Disease (7 papers) and Hormonal Regulation and Hypertension (5 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (627 citations), Endocrinology, Diabetes and Metabolism (343 citations) and Nutrition and Dietetics (236 citations). Masayuki Kambe has collaborated with scholars based in Japan and United States. Frequent co-authors include Tetsuya Oshima, Ryoji Ozono, Hideo Matsuura, Goro Kajiyama, Yukihito Higashi, Takafumi Ishida, Yoko Yano, Yoshihiko Oishi, Yukiko Nakano and Masao Yoshizumi. Their work appears in journals such as Circulation, Journal of the American College of Cardiology and Circulation Research.
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.