Richard M. Watanabe
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- Diabetes Management and Research 10
- Diabetes, Cardiovascular Risks, and Lipoproteins 8
- Physiology top 1%
- Adipose Tissue and Metabolism 11
- Equine top 2%
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- Pancreatic function and diabetes 12
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- Metabolism, Diabetes, and Cancer 9
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- Genetic Associations and Epidemiology 8
- Diabetes and associated disorders 7
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- Liver Disease Diagnosis and Treatment 8
- Co-authors
- Richard N. BergmanDarko StefanovskiAnne E. SumnerAnny H. XiangThomas A. BuchananJames C. ReynoldsNancy G. SebringRay Boston
- Journals
- PLoS ONE (1 paper)The Journal of Clinical Endocrinology & Metabolism (3 papers)Diabetes Care (7 papers)
- Partner nations
- United StatesFinlandAustralia
In The Last Decade
Richard M. Watanabe
59 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Endocrinology, Diabetes and Metabolism 1.4k
- Physiology 1.4k
- Endocrine and Autonomic Systems 283
- Equine 54
- Public Health, Environmental and Occupational Health 708
Countries citing papers authored by Richard M. Watanabe
This map shows the geographic impact of Richard M. Watanabe'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 Richard M. Watanabe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard M. Watanabe more than expected).
Fields of papers citing papers by Richard M. Watanabe
This network shows the impact of papers produced by Richard M. Watanabe. 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 Richard M. Watanabe. The network helps show where Richard M. Watanabe may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Richard M. Watanabe, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 13 | |
| 2 | 2021 | 11 | |
| 3 | 2018 | 7 | |
| 4 | 2018 | 43 | |
| 5 | 2018 | 13 | |
| 6 | 2017 | 5 | |
| 7 | 2017 | 16 | |
| 8 | 2012 | 18 | |
| 9 | A Better Index of Body Adipositybreakdown → | 2011 | 768 |
| 10 | 2009 | 1 | |
| 11 | 2008 | 47 | |
| 12 | 2006 | 6 | |
| 13 | 2005 | 63 | |
| 14 | Common non-coding SNPs near the Hepatocyte Nuclear Factor-4 Alpha gene are associated with type 2 diabetes | 2003 | 2 |
| 15 | 2001 | 63 | |
| 16 | 1999 | 32 | |
| 17 | 1999 | 90 | |
| 18 | 1993 | 31 | |
| 19 | 1992 | 51 | |
| 20 | 1989 | 106 |
About Richard M. Watanabe
Richard M. Watanabe is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Obstetrics and Gynecology, having authored 61 papers that have together received 3.8k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (12 papers), Adipose Tissue and Metabolism (11 papers), Diabetes Management and Research (10 papers), Metabolism, Diabetes, and Cancer (9 papers), Genetic Associations and Epidemiology (8 papers), Liver Disease Diagnosis and Treatment (8 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers) and Diabetes and associated disorders (7 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.4k citations), Physiology (1.4k citations) and Endocrine and Autonomic Systems (283 citations). Richard M. Watanabe has collaborated with scholars based in United States, Finland and Australia. Frequent co-authors include Richard N. Bergman, Darko Stefanovski, Anne E. Sumner, Anny H. Xiang, Thomas A. Buchanan, James C. Reynolds, Nancy G. Sebring, Ray Boston, Peter J. Moate and Marilyn Ader. Their work appears in journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Diabetes Care.
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.