Ryu Kawai
Impact in
- Nephrology top 10%
- Gout, Hyperuricemia, Uric Acid
-
- Diabetes, Cardiovascular Risks, and Lipoproteins
Papers in
-
- Diabetes, Cardiovascular Risks, and Lipoproteins 7
-
- Adipokines, Inflammation, and Metabolic Diseases 5
- Co-authors
- Eiji Oda (22 shared papers)Kenichi Watanabe (3 shared papers)Vijayakumar Sukumaran (3 shared papers)Yoshifusa Aizawa (1 shared paper)
- Journals
- Circulation Journal (4 papers)Heart and Vessels (2 papers)Acta Diabetologica (2 papers)Internal Medicine (10 papers)Environmental Health and Preventive Medicine (1 paper)
- Partner nations
- Japan
In The Last Decade
Ryu Kawai
21 papers receiving 448 citations
Peers
Comparison fields: 5 of 49
- Nephrology 67
- Endocrinology, Diabetes and Metabolism 101
- Epidemiology 136
- Cardiology and Cardiovascular Medicine 71
- Pathology and Forensic Medicine 29
Countries citing papers authored by Ryu Kawai
This map shows the geographic impact of Ryu Kawai'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 Ryu Kawai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryu Kawai more than expected).
Fields of papers citing papers by Ryu Kawai
This network shows the impact of papers produced by Ryu Kawai. 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 Ryu Kawai. The network helps show where Ryu Kawai may publish in the future.
Co-authors
The 4 scholars most cited alongside Ryu Kawai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 61 | |
| 2 | 2009 | 60 | |
| 3 | 2011 | 36 | |
| 4 | 2009 | 30 | |
| 5 | 2009 | 26 | |
| 6 | 2011 | 25 | |
| 7 | 2010 | 23 | |
| 8 | 2010 | 23 | |
| 9 | 2009 | 23 | |
| 10 | 2009 | 20 | |
| 11 | 2009 | 20 | |
| 12 | 2010 | 18 | |
| 13 | 2011 | 18 | |
| 14 | 2010 | 12 | |
| 15 | 2010 | 11 | |
| 16 | 2009 | 11 | |
| 17 | 2009 | 10 | |
| 18 | 2009 | 10 | |
| 19 | 2009 | 7 | |
| 20 | 2010 | 5 |
About Ryu Kawai
Ryu Kawai is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology, Molecular Biology, Cardiology and Cardiovascular Medicine and Oncology, having authored 22 papers that have together received 453 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers), Adipokines, Inflammation, and Metabolic Diseases (5 papers), Inflammatory Biomarkers in Disease Prognosis (2 papers), Obesity, Physical Activity, Diet (2 papers), Heme Oxygenase-1 and Carbon Monoxide (2 papers), Neonatal Health and Biochemistry (1 paper), Alcohol Consumption and Health Effects (1 paper) and Cardiovascular Disease and Adiposity (1 paper). The work is most often cited by research in Nephrology (67 citations), Endocrinology, Diabetes and Metabolism (101 citations), Epidemiology (136 citations), Cardiology and Cardiovascular Medicine (71 citations) and Pathology and Forensic Medicine (29 citations). Ryu Kawai has collaborated with scholars based in Japan. Frequent co-authors include Eiji Oda, Kenichi Watanabe, Vijayakumar Sukumaran and Yoshifusa Aizawa. Their work appears in journals such as Circulation Journal, Heart and Vessels, Acta Diabetologica, Internal Medicine and Environmental Health and Preventive Medicine.
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.