E de Peretti
- Endocrinology, Diabetes and Metabolism top 2%
- Molecular Biology
- Reproductive Medicine top 1%
- Genetics top 10%
- Pediatrics, Perinatology and Child Health top 10%
- Co-authors
- Maguelone G. ForestJ BertrandA.M. MoreraMohamed BenahmedMarie‐Agnès ChauvinM DavidR. ColluJ.M. Saez
- Topics
- Hormonal and reproductive studies (20 papers)Sexual Differentiation and Disorders (14 papers)Sperm and Testicular Function (9 papers)
- Journals
- The Journal of Clinical Endocrinology & MetabolismEndocrinologyAnnals of the New York Academy of Sciences
- Partner nations
- FranceSwitzerlandUnited States
In The Last Decade
E de Peretti
35 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 89
- Endocrinology, Diabetes and Metabolism 749
- Molecular Biology 642
- Reproductive Medicine 453
- Genetics 250
- Pediatrics, Perinatology and Child Health 154
Countries citing papers authored by E de Peretti
This map shows the geographic impact of E de Peretti'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 E de Peretti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E de Peretti more than expected).
Fields of papers citing papers by E de Peretti
This network shows the impact of papers produced by E de Peretti. 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 E de Peretti. The network helps show where E de Peretti may publish in the future.
Co-authorship network of co-authors of E de Peretti
This figure shows the co-authorship network connecting the top 25 collaborators of E de Peretti. A scholar is included among the top collaborators of E de Peretti 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 E de Peretti. E de Peretti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 21 | |
| 3 | 45 | |
| 4 | 32 | |
| 5 | 29 | |
| 6 | 32 | |
| 7 | 8 | |
| 8 | 15 | |
| 9 | 78 | |
| 10 | 14 | |
| 11 | [Kinetics of the testicular steroidogenic response to stimulation by placental gonadotropin hormone. VI. Enzyme deficiencies of testicular biosynthesis]. | 2 |
| 12 | 6 | |
| 13 | 12 | |
| 14 | 30 | |
| 15 | 3 | |
| 16 | 78 | |
| 17 | 31 | |
| 18 | 104 | |
| 19 | 144 | |
| 20 | [Infection and morbidity in persons born in 1920-1939, and who were given percutaneous tuberculin test while attending the school]. | 1 |
About E de Peretti
E de Peretti is a scholar working on Endocrinology, Diabetes and Metabolism, Reproductive Medicine and Pediatrics, Perinatology and Child Health, having authored 38 papers that have together received 1.3k indexed citations. Recurring topics across this work include Hormonal and reproductive studies (20 papers), Sexual Differentiation and Disorders (14 papers) and Sperm and Testicular Function (9 papers). The work is most often cited by research in Reproductive Medicine (453 citations), Endocrinology, Diabetes and Metabolism (749 citations) and Behavioral Neuroscience (95 citations). E de Peretti has collaborated with scholars based in France, Switzerland and United States. Frequent co-authors include Maguelone G. Forest, J Bertrand, A.M. Morera, Mohamed Benahmed, Marie‐Agnès Chauvin, M David, R. Collu, J.M. Saez, M Sempé and M. Chauvin. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Endocrinology and Annals of the New York Academy of Sciences.
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.