Jean‐Philippe Peyrat
- Molecular Biology top 5%
- Oncology top 2%
- Cancer Research top 2%
- Genetics top 5%
- Endocrinology, Diabetes and Metabolism top 2%
- Co-authors
- Françoise RévillionJacques BonneterreLouis HornezMohamed HebbarValérie PawlowskiA DemailleJean DjianeR. Beuscart
- Topics
- Growth Hormone and Insulin-like Growth Factors (13 papers)Estrogen and related hormone effects (12 papers)HER2/EGFR in Cancer Research (11 papers)
In The Last Decade
Jean‐Philippe Peyrat
83 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 119
- Molecular Biology 1.8k
- Oncology 1.3k
- Cancer Research 680
- Genetics 644
- Endocrinology, Diabetes and Metabolism 503
Countries citing papers authored by Jean‐Philippe Peyrat
This map shows the geographic impact of Jean‐Philippe Peyrat'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‐Philippe Peyrat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean‐Philippe Peyrat more than expected).
Fields of papers citing papers by Jean‐Philippe Peyrat
This network shows the impact of papers produced by Jean‐Philippe Peyrat. 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‐Philippe Peyrat. The network helps show where Jean‐Philippe Peyrat may publish in the future.
Co-authorship network of co-authors of Jean‐Philippe Peyrat
This figure shows the co-authorship network connecting the top 25 collaborators of Jean‐Philippe Peyrat. A scholar is included among the top collaborators of Jean‐Philippe Peyrat 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‐Philippe Peyrat. Jean‐Philippe Peyrat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 26 | |
| 2 | 3 | |
| 3 | 19 | |
| 4 | 41 | |
| 5 | 6 | |
| 6 | 24 | |
| 7 | 36 | |
| 8 | 49 | |
| 9 | 102 | |
| 10 | 108 | |
| 11 | 17 | |
| 12 | 145 | |
| 13 | 39 | |
| 14 | 377 | |
| 15 | Quantification of c-erbB-2 gene expression in breast cancer by competitive RT-PCR. | 17 |
| 16 | Germline BRCA1 mutations in patients from 36 families with breast and/or ovarian cancers in Northern France | 1 |
| 17 | 41 | |
| 18 | 24 | |
| 19 | 3 | |
| 20 | 29 |
About Jean‐Philippe Peyrat
Jean‐Philippe Peyrat is a scholar working on Cancer Research, Oncology and Genetics, having authored 86 papers that have together received 3.4k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (13 papers), Estrogen and related hormone effects (12 papers) and HER2/EGFR in Cancer Research (11 papers). The work is most often cited by research in Oncology (1.3k citations), Cancer Research (680 citations) and Endocrinology, Diabetes and Metabolism (503 citations). Jean‐Philippe Peyrat has collaborated with scholars based in France, Canada and Australia. Frequent co-authors include Françoise Révillion, Jacques Bonneterre, Louis Hornez, Mohamed Hebbar, Valérie Pawlowski, A Demaille, Jean Djiane, R. Beuscart, Hubert Hondermarck and M M Louchez. Their work appears in journals such as Journal of Clinical Oncology, Molecular and Cellular Biology and Cancer Research.
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.