Raynald Bergeron
- Molecular Biology top 5%
- Physiology top 1%
- Surgery top 5%
- Epidemiology top 5%
- Endocrinology, Diabetes and Metabolism top 2%
- Co-authors
- Gerald I. ShulmanLawrence H. YoungRaymond R. RussellGary W. ClineJason K. KimYan ChenSamuel W. CushmanMorris F. White
- Topics
- Adipose Tissue and Metabolism (14 papers)Metabolism, Diabetes, and Cancer (10 papers)Pancreatic function and diabetes (10 papers)
- Journals
- Journal of Biological ChemistryJournal of Clinical InvestigationThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- CanadaUnited StatesAustralia
In The Last Decade
Raynald Bergeron
44 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Molecular Biology 2.3k
- Physiology 1.9k
- Surgery 1.0k
- Epidemiology 814
- Endocrinology, Diabetes and Metabolism 668
Countries citing papers authored by Raynald Bergeron
This map shows the geographic impact of Raynald Bergeron'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 Raynald Bergeron with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raynald Bergeron more than expected).
Fields of papers citing papers by Raynald Bergeron
This network shows the impact of papers produced by Raynald Bergeron. 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 Raynald Bergeron. The network helps show where Raynald Bergeron may publish in the future.
Co-authorship network of co-authors of Raynald Bergeron
This figure shows the co-authorship network connecting the top 25 collaborators of Raynald Bergeron. A scholar is included among the top collaborators of Raynald Bergeron 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 Raynald Bergeron. Raynald Bergeron is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 33 | |
| 2 | 13 | |
| 3 | 35 | |
| 4 | 12 | |
| 5 | 42 | |
| 6 | 31 | |
| 7 | 62 | |
| 8 | 226 | |
| 9 | 2 | |
| 10 | 100 | |
| 11 | 28 | |
| 12 | Mechanism by Which Fatty Acids Inhibit Insulin Activation of Insulin Receptor Substrate-1 (IRS-1)-associated Phosphatidylinositol 3-Kinase Activity in Musclebreakdown → | 1196 |
| 13 | 49 | |
| 14 | 4 | |
| 15 | 45 | |
| 16 | 13 | |
| 17 | 1 | |
| 18 | 2 | |
| 19 | 6 | |
| 20 | 4 |
About Raynald Bergeron
Raynald Bergeron is a scholar working on Physiology, Endocrine and Autonomic Systems and Complementary and alternative medicine, having authored 44 papers that have together received 4.1k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (14 papers), Metabolism, Diabetes, and Cancer (10 papers) and Pancreatic function and diabetes (10 papers). The work is most often cited by research in Physiology (1.9k citations), Biochemistry (351 citations) and Endocrinology, Diabetes and Metabolism (668 citations). Raynald Bergeron has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Gerald I. Shulman, Lawrence H. Young, Raymond R. Russell, Gary W. Cline, Jason K. Kim, Yan Chen, Samuel W. Cushman, Morris F. White, Dongyan Zhang and Edward W. Kraegen. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and The Journal of Clinical Endocrinology & Metabolism.
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.