Richard N. Bergman
- Endocrinology, Diabetes and Metabolism top 0.01%
- Physiology top 0.02%
- Molecular Biology top 0.2%
- Surgery top 0.1%
- Epidemiology top 0.1%
- Co-authors
- Marilyn AderClaudio CobelliDiane T. FinegoodLawrence S. PhillipsRichard M. WatanabeGiovanni PaciniSteven E. KahnMohammed Saad
- Topics
- Pancreatic function and diabetes (113 papers)Metabolism, Diabetes, and Cancer (96 papers)Diabetes Management and Research (92 papers)
- Partner nations
- United StatesIsraelCanada
In The Last Decade
Richard N. Bergman
615 papers receiving 40.8k citations
Hit Papers
Peers
Comparison fields: 5 of 202
- Endocrinology, Diabetes and Metabolism 16.1k
- Physiology 12.2k
- Molecular Biology 10.9k
- Surgery 9.3k
- Epidemiology 7.1k
Countries citing papers authored by Richard N. Bergman
This map shows the geographic impact of Richard N. Bergman'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 N. Bergman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard N. Bergman more than expected).
Fields of papers citing papers by Richard N. Bergman
This network shows the impact of papers produced by Richard N. Bergman. 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 N. Bergman. The network helps show where Richard N. Bergman may publish in the future.
Co-authorship network of co-authors of Richard N. Bergman
This figure shows the co-authorship network connecting the top 25 collaborators of Richard N. Bergman. A scholar is included among the top collaborators of Richard N. Bergman 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 N. Bergman. Richard N. Bergman 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 | 1 | |
| 4 | 5 | |
| 5 | 58 | |
| 6 | 14 | |
| 7 | 45 | |
| 8 | 37 | |
| 9 | 27 | |
| 10 | 233 | |
| 11 | 48 | |
| 12 | 15 | |
| 13 | 4 | |
| 14 | 50 | |
| 15 | 18 | |
| 16 | 1 | |
| 17 | 39 | |
| 18 | 424 | |
| 19 | Common non-coding SNPs near the Hepatocyte Nuclear Factor-4 Alpha gene are associated with type 2 diabetes | 2 |
| 20 | 2 |
About Richard N. Bergman
Richard N. Bergman is a scholar working on Endocrinology, Diabetes and Metabolism, Dermatology and Endocrine and Autonomic Systems, having authored 623 papers that have together received 42.3k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (113 papers), Metabolism, Diabetes, and Cancer (96 papers) and Diabetes Management and Research (92 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (16.1k citations), Endocrine and Autonomic Systems (3.3k citations) and Physiology (12.2k citations). Richard N. Bergman has collaborated with scholars based in United States, Israel and Canada. Frequent co-authors include Marilyn Ader, Claudio Cobelli, Diane T. Finegood, Lawrence S. Phillips, Richard M. Watanabe, Giovanni Pacini, Steven E. Kahn, Mohammed Saad, C R Bowden and Y.Z. Ider. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and The Lancet.
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.