Jean‐Marc Lacorte
- Endocrine and Autonomic Systems top 0.2%
- Regulation of Appetite and Obesity 14
- Nutrition and Dietetics top 0.5%
- Biochemical Analysis and Sensing Techniques 6
- Physiology top 1%
- Adipose Tissue and Metabolism 8
- Diet and metabolism studies 5
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- Diet, Metabolism, and Disease 6
- Epidemiology top 2%
- Adipokines, Inflammation, and Metabolic Diseases 13
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- Peroxisome Proliferator-Activated Receptors 7
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- Cancer Genomics and Diagnostics 5
- Co-authors
- Jean ChambazKarine ClémentArnaud BasdevantChristian VaisseVéronique PellouxB Guy-GrandPhilippe FroguelPierre Bougnères
- 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
- Nutrition and Dietetics 1.0k
- Physiology 1.4k
- Endocrinology, Diabetes and Metabolism 720
- Epidemiology 1.4k
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
The 25 scholars most cited alongside Jean‐Marc Lacorte, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 1 | |
| 2 | 2021 | 7 | |
| 3 | 2020 | 4 | |
| 4 | 2020 | 4 | |
| 5 | 2019 | 11 | |
| 6 | 2018 | 13 | |
| 7 | 2017 | 89 | |
| 8 | 2016 | 11 | |
| 9 | 2015 | 16 | |
| 10 | 2015 | 20 | |
| 11 | 2015 | 15 | |
| 12 | 2013 | 21 | |
| 13 | 2011 | 97 | |
| 14 | 2010 | 142 | |
| 15 | 2010 | 195 | |
| 16 | 2004 | 64 | |
| 17 | 2002 | 89 | |
| 18 | 2002 | 26 | |
| 19 | A mutation in the human leptin receptor gene causes obesity and pituitary dysfunctionbreakdown → | 1998 | 1692 |
| 20 | 1993 | 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), Adipose Tissue and Metabolism (8 papers), Peroxisome Proliferator-Activated Receptors (7 papers), Diet, Metabolism, and Disease (6 papers), Biochemical Analysis and Sensing Techniques (6 papers), Diet and metabolism studies (5 papers) and Cancer Genomics and Diagnostics (5 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.
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.