Masato Kasahara
- Nephrology top 0.5%
- Cardiology and Cardiovascular Medicine top 2%
- Molecular Biology top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Surgery top 10%
- Co-authors
- Masashi MukoyamaKazuwa NakaoKiyoshi MoriAkira SugawaraHideki YokoiTakashige KuwabaraYoshihiro OgawaIssei Tanaka
- Topics
- Chronic Kidney Disease and Diabetes (20 papers)Dialysis and Renal Disease Management (12 papers)Health Promotion and Cardiovascular Prevention (11 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Masato Kasahara
120 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 117
- Nephrology 848
- Cardiology and Cardiovascular Medicine 807
- Molecular Biology 791
- Endocrinology, Diabetes and Metabolism 402
- Surgery 400
Countries citing papers authored by Masato Kasahara
This map shows the geographic impact of Masato Kasahara'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 Masato Kasahara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masato Kasahara more than expected).
Fields of papers citing papers by Masato Kasahara
This network shows the impact of papers produced by Masato Kasahara. 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 Masato Kasahara. The network helps show where Masato Kasahara may publish in the future.
Co-authorship network of co-authors of Masato Kasahara
This figure shows the co-authorship network connecting the top 25 collaborators of Masato Kasahara. A scholar is included among the top collaborators of Masato Kasahara 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 Masato Kasahara. Masato Kasahara is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | 4 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 5 | |
| 9 | 15 | |
| 10 | 11 | |
| 11 | 8 | |
| 12 | 6 | |
| 13 | 16 | |
| 14 | 11 | |
| 15 | 1 | |
| 16 | 0 | |
| 17 | 108 | |
| 18 | 11 | |
| 19 | Simulation Study of Bacterial Colony with Multiplying Rods | 0 |
| 20 | 98 |
About Masato Kasahara
Masato Kasahara is a scholar working on Nephrology, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine, having authored 130 papers that have together received 2.8k indexed citations. Recurring topics across this work include Chronic Kidney Disease and Diabetes (20 papers), Dialysis and Renal Disease Management (12 papers) and Health Promotion and Cardiovascular Prevention (11 papers). The work is most often cited by research in Nephrology (848 citations), Cardiology and Cardiovascular Medicine (807 citations) and Endocrinology, Diabetes and Metabolism (402 citations). Masato Kasahara has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Masashi Mukoyama, Kazuwa Nakao, Kiyoshi Mori, Akira Sugawara, Hideki Yokoi, Takashige Kuwabara, Yoshihiro Ogawa, Issei Tanaka, Hirotaka Imamaki and Koichi Asahi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.
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.