Jean‐François Arnal
- Molecular Biology top 2%
- Genetics top 0.5%
- Physiology top 0.5%
- Endocrinology, Diabetes and Metabolism top 0.5%
- Immunology top 1%
- Co-authors
- Pierre GourdyFrançoise LenfantCoralie FontaineJean‐Baptiste MichelF. BayardMaría E. PueyoPierre ChambonJ. Rami
- Topics
- Estrogen and related hormone effects (99 papers)Menopause: Health Impacts and Treatments (49 papers)Nitric Oxide and Endothelin Effects (43 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- FranceUnited StatesBelgium
In The Last Decade
Jean‐François Arnal
240 papers receiving 10.9k citations
Hit Papers
Peers
Comparison fields: 5 of 160
- Molecular Biology 3.0k
- Genetics 2.8k
- Physiology 2.6k
- Endocrinology, Diabetes and Metabolism 2.3k
- Immunology 2.1k
Countries citing papers authored by Jean‐François Arnal
This map shows the geographic impact of Jean‐François Arnal'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‐François Arnal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean‐François Arnal more than expected).
Fields of papers citing papers by Jean‐François Arnal
This network shows the impact of papers produced by Jean‐François Arnal. 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‐François Arnal. The network helps show where Jean‐François Arnal may publish in the future.
Co-authorship network of co-authors of Jean‐François Arnal
This figure shows the co-authorship network connecting the top 25 collaborators of Jean‐François Arnal. A scholar is included among the top collaborators of Jean‐François Arnal 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‐François Arnal. Jean‐François Arnal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 13 | |
| 4 | 5 | |
| 5 | 7 | |
| 6 | 9 | |
| 7 | 181 | |
| 8 | 10 | |
| 9 | 27 | |
| 10 | 89 | |
| 11 | Œstrogènes et risque cardiovasculaire | 1 |
| 12 | 2 | |
| 13 | 21 | |
| 14 | 22 | |
| 15 | 2 | |
| 16 | Quelques fibules du dépôt marin de Rochelongue (Agde, Hérault) | 4 |
| 17 | 7 | |
| 18 | 3 | |
| 19 | El neolítico y calcolítico franceses | 4 |
| 20 | La grotte de la Madeleine | 3 |
About Jean‐François Arnal
Jean‐François Arnal is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Immunology, having authored 257 papers that have together received 11.1k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (99 papers), Menopause: Health Impacts and Treatments (49 papers) and Nitric Oxide and Endothelin Effects (43 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.3k citations), Genetics (2.8k citations) and Physiology (2.6k citations). Jean‐François Arnal has collaborated with scholars based in France, United States and Belgium. Frequent co-authors include Pierre Gourdy, Françoise Lenfant, Coralie Fontaine, Jean‐Baptiste Michel, F. Bayard, María E. Pueyo, Pierre Chambon, J. Rami, Jean‐Baptiste Michel and Victorine Douin‐Echinard. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.