D. Betoulle
- Physiology top 5%
- Epidemiology top 10%
- Endocrine and Autonomic Systems top 2%
- Endocrinology, Diabetes and Metabolism top 5%
- Surgery top 10%
- Co-authors
- Frédéric FumeronR. AubertBernard HerbethGérard SiestDominique ArveilerM ApfelbaumRiadh JemaaOdette Poirier
- Topics
- Regulation of Appetite and Obesity (8 papers)Adipose Tissue and Metabolism (5 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers)
- Partner nations
- FranceUnited Kingdom
In The Last Decade
D. Betoulle
24 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 86
- Physiology 488
- Epidemiology 424
- Endocrine and Autonomic Systems 419
- Endocrinology, Diabetes and Metabolism 399
- Surgery 311
Countries citing papers authored by D. Betoulle
This map shows the geographic impact of D. Betoulle'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 D. Betoulle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Betoulle more than expected).
Fields of papers citing papers by D. Betoulle
This network shows the impact of papers produced by D. Betoulle. 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 D. Betoulle. The network helps show where D. Betoulle may publish in the future.
Co-authorship network of co-authors of D. Betoulle
This figure shows the co-authorship network connecting the top 25 collaborators of D. Betoulle. A scholar is included among the top collaborators of D. Betoulle 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 D. Betoulle. D. Betoulle is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 170 | |
| 2 | 67 | |
| 3 | 67 | |
| 4 | 61 | |
| 5 | 170 | |
| 6 | 37 | |
| 7 | Beneficial effects of a moderate consumption of red wine on cellular cholesterol efflux in young men. | 44 |
| 8 | 137 | |
| 9 | 17 | |
| 10 | Polymorphisms of uncoupling protein (UCP) and beta 3 adrenoreceptor genes in obese people submitted to a low calorie diet. | 113 |
| 11 | 255 | |
| 12 | 26 | |
| 13 | Xmn1 restriction polymorphism of apolipoprotein AI gene and lipoprotein levels in obesity. | 5 |
| 14 | 31 | |
| 15 | 4 | |
| 16 | Permanent administration of d-fenfluramine in rats: paradoxical effects. | 4 |
| 17 | Decreased insulin binding to adipocytes precedes both hyperinsulinemia and decreased insulin binding to erythrocytes in cafeteria-fed rats. | 2 |
| 18 | 19 | |
| 19 | 9 | |
| 20 | 7 |
About D. Betoulle
D. Betoulle is a scholar working on Endocrine and Autonomic Systems, Behavioral Neuroscience and Endocrinology, Diabetes and Metabolism, having authored 24 papers that have together received 1.4k indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (8 papers), Adipose Tissue and Metabolism (5 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (419 citations), Endocrinology, Diabetes and Metabolism (399 citations) and Physiology (488 citations). D. Betoulle has collaborated with scholars based in France and United Kingdom. Frequent co-authors include Frédéric Fumeron, R. Aubert, Bernard Herbeth, Gérard Siest, Dominique Arveiler, M Apfelbaum, Riadh Jemaa, Odette Poirier, A. Evans and Sylvain Ricard. Their work appears in journals such as Circulation, Journal of Clinical Investigation and Diabetes.
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.