Jean‐Pierre Estève
- Molecular Biology top 10%
- Epidemiology top 5%
- Oncology top 10%
- Immunology top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Co-authors
- Frédéric LopezChristiane SusiniLouis BuscailNicole VaysseNathalie Saint‐LaurentLaurent O. MartinezXavier ColletRonald Barbaras
- Topics
- Neuroendocrine Tumor Research Advances (12 papers)Protein Tyrosine Phosphatases (11 papers)PI3K/AKT/mTOR signaling in cancer (8 papers)
- Journals
- NatureProceedings of the National Academy of SciencesJournal of the American Chemical Society
- Partner nations
- FranceGermanyUnited States
In The Last Decade
Jean‐Pierre Estève
33 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 116
- Molecular Biology 1.1k
- Epidemiology 611
- Oncology 422
- Immunology 358
- Endocrinology, Diabetes and Metabolism 324
Countries citing papers authored by Jean‐Pierre Estève
This map shows the geographic impact of Jean‐Pierre Estève'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‐Pierre Estève with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean‐Pierre Estève more than expected).
Fields of papers citing papers by Jean‐Pierre Estève
This network shows the impact of papers produced by Jean‐Pierre Estève. 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‐Pierre Estève. The network helps show where Jean‐Pierre Estève may publish in the future.
Co-authorship network of co-authors of Jean‐Pierre Estève
This figure shows the co-authorship network connecting the top 25 collaborators of Jean‐Pierre Estève. A scholar is included among the top collaborators of Jean‐Pierre Estève 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‐Pierre Estève. Jean‐Pierre Estève is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 47 | |
| 2 | 10 | |
| 3 | 14 | |
| 4 | 19 | |
| 5 | 70 | |
| 6 | 16 | |
| 7 | 22 | |
| 8 | 244 | |
| 9 | 71 | |
| 10 | 13 | |
| 11 | 8 | |
| 12 | 118 | |
| 13 | 20 | |
| 14 | 105 | |
| 15 | 384 | |
| 16 | 46 | |
| 17 | 69 | |
| 18 | 23 | |
| 19 | 72 | |
| 20 | 29 |
About Jean‐Pierre Estève
Jean‐Pierre Estève is a scholar working on Molecular Biology, Epidemiology and Immunology, having authored 33 papers that have together received 2.2k indexed citations. Recurring topics across this work include Neuroendocrine Tumor Research Advances (12 papers), Protein Tyrosine Phosphatases (11 papers) and PI3K/AKT/mTOR signaling in cancer (8 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (324 citations), Epidemiology (611 citations) and Immunology (358 citations). Jean‐Pierre Estève has collaborated with scholars based in France, Germany and United States. Frequent co-authors include Frédéric Lopez, Christiane Susini, Louis Buscail, Nicole Vaysse, Nathalie Saint‐Laurent, Laurent O. Martinez, Xavier Collet, Ronald Barbaras, Éric Champagne and Bertrand Perret. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.