Jean‐Marc Lacorte
- Endocrine and Autonomic Systems top 0.2%
- Physiology top 1%
- Epidemiology top 2%
- Nutrition and Dietetics top 0.5%
- Molecular Biology top 10%
- Co-authors
- Jean ChambazKarine ClémentArnaud BasdevantChristian VaisseVéronique PellouxB Guy-GrandPhilippe FroguelPierre Bougnères
- Topics
- Regulation of Appetite and Obesity (14 papers)Adipokines, Inflammation, and Metabolic Diseases (13 papers)Adipose Tissue and Metabolism (8 papers)
- Partner nations
- FranceGuadeloupeUnited Kingdom
In The Last Decade
Jean‐Marc Lacorte
68 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Endocrine and Autonomic Systems 1.6k
- Physiology 1.4k
- Epidemiology 1.4k
- Nutrition and Dietetics 1.0k
- Molecular Biology 1.0k
Countries citing papers authored by Jean‐Marc Lacorte
This map shows the geographic impact of Jean‐Marc Lacorte'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 Jean‐Marc Lacorte with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean‐Marc Lacorte more than expected).
Fields of papers citing papers by Jean‐Marc Lacorte
This network shows the impact of papers produced by Jean‐Marc Lacorte. 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 Jean‐Marc Lacorte. The network helps show where Jean‐Marc Lacorte may publish in the future.
Co-authorship network of co-authors of Jean‐Marc Lacorte
This figure shows the co-authorship network connecting the top 25 collaborators of Jean‐Marc Lacorte. A scholar is included among the top collaborators of Jean‐Marc Lacorte 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 Jean‐Marc Lacorte. Jean‐Marc Lacorte 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 | 7 | |
| 3 | 4 | |
| 4 | 4 | |
| 5 | 11 | |
| 6 | 13 | |
| 7 | 89 | |
| 8 | 11 | |
| 9 | 16 | |
| 10 | 20 | |
| 11 | 15 | |
| 12 | 21 | |
| 13 | 97 | |
| 14 | 142 | |
| 15 | 195 | |
| 16 | 64 | |
| 17 | 89 | |
| 18 | 26 | |
| 19 | A mutation in the human leptin receptor gene causes obesity and pituitary dysfunctionbreakdown → | 1692 |
| 20 | 34 |
About Jean‐Marc Lacorte
Jean‐Marc Lacorte is a scholar working on Endocrine and Autonomic Systems, Endocrinology, Diabetes and Metabolism and Nutrition and Dietetics, having authored 69 papers that have together received 4.7k indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (14 papers), Adipokines, Inflammation, and Metabolic Diseases (13 papers) and Adipose Tissue and Metabolism (8 papers). The work is most often cited by research in Endocrine and Autonomic Systems (1.6k citations), Nutrition and Dietetics (1.0k citations) and Physiology (1.4k citations). Jean‐Marc Lacorte has collaborated with scholars based in France, Guadeloupe and United Kingdom. Frequent co-authors include Jean Chambaz, Karine Clément, Arnaud Basdevant, Christian Vaisse, Véronique Pelloux, B Guy-Grand, Philippe Froguel, Pierre Bougnères, Christian Dina and Najiba Lahlou. Their work appears in journals such as Nature, Nucleic Acids Research and Journal of Biological Chemistry.
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.