Kengo Azushima
- Cardiology and Cardiovascular Medicine top 5%
- Endocrinology, Diabetes and Metabolism top 2%
- Molecular Biology
- Nephrology top 2%
- Surgery
- Co-authors
- Kouichi TamuraHiromichi WakuiThomas M. CoffmanSusan B. GurleyKazushi UnedaTomohiko KanaokaSatoshi UmemuraAkio Yamashita
- Topics
- Hormonal Regulation and Hypertension (23 papers)Renin-Angiotensin System Studies (23 papers)Blood Pressure and Hypertension Studies (19 papers)
- Journals
- Journal of Biological ChemistryNature CommunicationsSHILAP Revista de lepidopterología
- Partner nations
- JapanSingaporeUnited States
In The Last Decade
Kengo Azushima
88 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 98
- Cardiology and Cardiovascular Medicine 503
- Endocrinology, Diabetes and Metabolism 492
- Molecular Biology 390
- Nephrology 320
- Surgery 226
Countries citing papers authored by Kengo Azushima
This map shows the geographic impact of Kengo Azushima'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 Kengo Azushima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kengo Azushima more than expected).
Fields of papers citing papers by Kengo Azushima
This network shows the impact of papers produced by Kengo Azushima. 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 Kengo Azushima. The network helps show where Kengo Azushima may publish in the future.
Co-authorship network of co-authors of Kengo Azushima
This figure shows the co-authorship network connecting the top 25 collaborators of Kengo Azushima. A scholar is included among the top collaborators of Kengo Azushima 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 Kengo Azushima. Kengo Azushima is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 6 | |
| 6 | 7 | |
| 7 | 13 | |
| 8 | 2 | |
| 9 | 4 | |
| 10 | 7 | |
| 11 | 8 | |
| 12 | 2 | |
| 13 | 22 | |
| 14 | 29 | |
| 15 | 3 | |
| 16 | 16 | |
| 17 | 53 | |
| 18 | 24 | |
| 19 | 8 | |
| 20 | 45 |
About Kengo Azushima
Kengo Azushima is a scholar working on Cardiology and Cardiovascular Medicine, Nephrology and Endocrinology, Diabetes and Metabolism, having authored 94 papers that have together received 1.5k indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (23 papers), Renin-Angiotensin System Studies (23 papers) and Blood Pressure and Hypertension Studies (19 papers). The work is most often cited by research in Nephrology (320 citations), Endocrinology, Diabetes and Metabolism (492 citations) and Cardiology and Cardiovascular Medicine (503 citations). Kengo Azushima has collaborated with scholars based in Japan, Singapore and United States. Frequent co-authors include Kouichi Tamura, Hiromichi Wakui, Thomas M. Coffman, Susan B. Gurley, Kazushi Uneda, Tomohiko Kanaoka, Satoshi Umemura, Akio Yamashita, Sho Kinguchi and Masato Ohsawa. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications 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.