Richard M. Watanabe
- Endocrinology, Diabetes and Metabolism top 0.5%
- Physiology top 1%
- Molecular Biology top 10%
- Public Health, Environmental and Occupational Health top 2%
- Surgery top 5%
- Co-authors
- Richard N. BergmanDarko StefanovskiAnne E. SumnerAnny H. XiangThomas A. BuchananJames C. ReynoldsNancy G. SebringRay Boston
- Topics
- Pancreatic function and diabetes (12 papers)Adipose Tissue and Metabolism (11 papers)Diabetes Management and Research (10 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
- Molecular Biology 964
- Public Health, Environmental and Occupational Health 708
- Surgery 656
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 of co-authors of Richard M. Watanabe
This figure shows the co-authorship network connecting the top 25 collaborators of Richard M. Watanabe. A scholar is included among the top collaborators of Richard M. Watanabe 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 Richard M. Watanabe. Richard M. Watanabe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 11 | |
| 3 | 7 | |
| 4 | 43 | |
| 5 | 13 | |
| 6 | 5 | |
| 7 | 16 | |
| 8 | 18 | |
| 9 | A Better Index of Body Adipositybreakdown → | 768 |
| 10 | 1 | |
| 11 | 47 | |
| 12 | 6 | |
| 13 | 63 | |
| 14 | Common non-coding SNPs near the Hepatocyte Nuclear Factor-4 Alpha gene are associated with type 2 diabetes | 2 |
| 15 | 63 | |
| 16 | 32 | |
| 17 | 90 | |
| 18 | 31 | |
| 19 | 51 | |
| 20 | 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) and Diabetes Management and Research (10 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.