C. Gelly
Impact in
- Physiology top 2%
- Adipose Tissue and Metabolism
- Genetics top 5%
- Estrogen and related hormone effects
Papers in
- Genetics 24
- Estrogen and related hormone effects 23
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- Mitochondrial Function and Pathology 6
- Co-authors
- Jörge R. Pasqualini (31 shared papers)Frédéric Bouillaud (14 shared papers)Daniel Ricquier (11 shared papers)C. Sumida (22 shared papers)B.‐L. Nguyen (9 shared papers)Claire Pecqueur (6 shared papers)Bruno Miroux (5 shared papers)Corinne Lévi-Meyrueis (5 shared papers)
- Journals
- Journal of Endocrinology (3 papers)Journal of Biological Chemistry (3 papers)European Journal of Endocrinology (2 papers)Cellular and Molecular Life Sciences (2 papers)Cancer Letters (2 papers)
- Partner nations
- FranceUnited StatesGermany
In The Last Decade
C. Gelly
47 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 89
- Physiology 948
- Genetics 576
- Molecular Biology 862
- Biochemistry 89
- Rehabilitation 73
Countries citing papers authored by C. Gelly
This map shows the geographic impact of C. Gelly'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 C. Gelly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. Gelly more than expected).
Fields of papers citing papers by C. Gelly
This network shows the impact of papers produced by C. Gelly. 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 C. Gelly. The network helps show where C. Gelly may publish in the future.
Co-authors
The 25 scholars most cited alongside C. Gelly, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 412 | |
| 2 | 1989 | 209 | |
| 3 | 2007 | 178 | |
| 4 | 2004 | 122 | |
| 5 | 1993 | 101 | |
| 6 | 1986 | 89 | |
| 7 | 2007 | 70 | |
| 8 | 2002 | 55 | |
| 9 | 1999 | 55 | |
| 10 | 2000 | 51 | |
| 11 | The Bcl I polymorphism of the human uncoupling protein (ucp) gene is due to a point mutation in the 5'-flanking region. | 1996 | 51 |
| 12 | 2006 | 50 | |
| 13 | 1976 | 49 | |
| 14 | 1998 | 43 | |
| 15 | 1986 | 35 | |
| 16 | 1988 | 33 | |
| 17 | 1981 | 31 | |
| 18 | 1972 | 30 | |
| 19 | 1976 | 24 | |
| 20 | 1980 | 24 |
About C. Gelly
C. Gelly is a scholar working on Genetics, Molecular Biology, Physiology, Immunology and Health, Toxicology and Mutagenesis, having authored 48 papers that have together received 2.0k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (23 papers), Adipose Tissue and Metabolism (14 papers), Reproductive System and Pregnancy (9 papers), Effects and risks of endocrine disrupting chemicals (7 papers), Mitochondrial Function and Pathology (6 papers), Reproductive Physiology in Livestock (6 papers), Muscle metabolism and nutrition (5 papers) and Birth, Development, and Health (5 papers). The work is most often cited by research in Physiology (948 citations), Genetics (576 citations), Molecular Biology (862 citations), Biochemistry (89 citations) and Rehabilitation (73 citations). C. Gelly has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Jörge R. Pasqualini, Frédéric Bouillaud, Daniel Ricquier, C. Sumida, B.‐L. Nguyen, Claire Pecqueur, Bruno Miroux, Corinne Lévi-Meyrueis, Elodie Couplan and Anne‐Marie Cassard. Their work appears in journals such as Journal of Endocrinology, Journal of Biological Chemistry, European Journal of Endocrinology, Cellular and Molecular Life Sciences and Cancer Letters.
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.