Gérard S. Chetrite
- Genetics top 1%
- Molecular Biology top 10%
- Endocrinology, Diabetes and Metabolism top 2%
- Oncology top 5%
- Pathology and Forensic Medicine top 5%
- Co-authors
- Jörge R. PasqualiniJean-Claude PhilippeMohammed TalbiJ Cortés-PrietoCharla M. BlackerM C FeinsteinF WrightRobert Cassoly
- Topics
- Estrogen and related hormone effects (44 papers)Steroid Chemistry and Biochemistry (19 papers)Effects and risks of endocrine disrupting chemicals (11 papers)
- Journals
- Journal of Molecular BiologyEndocrine ReviewsThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- FranceSpainUnited Kingdom
In The Last Decade
Gérard S. Chetrite
57 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 89
- Genetics 1.5k
- Molecular Biology 716
- Endocrinology, Diabetes and Metabolism 567
- Oncology 460
- Pathology and Forensic Medicine 226
Countries citing papers authored by Gérard S. Chetrite
This map shows the geographic impact of Gérard S. Chetrite'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 Gérard S. Chetrite with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gérard S. Chetrite more than expected).
Fields of papers citing papers by Gérard S. Chetrite
This network shows the impact of papers produced by Gérard S. Chetrite. 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 Gérard S. Chetrite. The network helps show where Gérard S. Chetrite may publish in the future.
Co-authorship network of co-authors of Gérard S. Chetrite
This figure shows the co-authorship network connecting the top 25 collaborators of Gérard S. Chetrite. A scholar is included among the top collaborators of Gérard S. Chetrite 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 Gérard S. Chetrite. Gérard S. Chetrite is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 34 | |
| 2 | 8 | |
| 3 | 7 | |
| 4 | 2 | |
| 5 | 110 | |
| 6 | 3 | |
| 7 | 5 | |
| 8 | 3 | |
| 9 | 2 | |
| 10 | 24 | |
| 11 | 11 | |
| 12 | 23 | |
| 13 | 15 | |
| 14 | 60 | |
| 15 | 33 | |
| 16 | 17 | |
| 17 | 65 | |
| 18 | 87 | |
| 19 | 44 | |
| 20 | 24 |
About Gérard S. Chetrite
Gérard S. Chetrite is a scholar working on Genetics, Toxicology and Health, Toxicology and Mutagenesis, having authored 57 papers that have together received 2.1k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (44 papers), Steroid Chemistry and Biochemistry (19 papers) and Effects and risks of endocrine disrupting chemicals (11 papers). The work is most often cited by research in Genetics (1.5k citations), Endocrinology, Diabetes and Metabolism (567 citations) and Reproductive Medicine (183 citations). Gérard S. Chetrite has collaborated with scholars based in France, Spain and United Kingdom. Frequent co-authors include Jörge R. Pasqualini, Jean-Claude Philippe, Mohammed Talbi, J Cortés-Prieto, Charla M. Blacker, M C Feinstein, F Wright, Robert Cassoly, J. Pâris and J. Botella. Their work appears in journals such as Journal of Molecular Biology, Endocrine Reviews 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.