Jean‐Pierre Raynaud
- Endocrinology, Diabetes and Metabolism top 0.5%
- Genetics top 0.5%
- Molecular Biology top 5%
- Pulmonary and Respiratory Medicine top 2%
- Reproductive Medicine top 0.5%
- Co-authors
- C. BonneFernand LabrieTiiu OjasooM. MoguilewskyD. PhilibertPeter HuntE.E. BaulieuEtienne‐Emile Baulieu
- Topics
- Hormonal and reproductive studies (64 papers)Estrogen and related hormone effects (50 papers)Prostate Cancer Treatment and Research (31 papers)
- Partner nations
- FranceCanadaUnited States
In The Last Decade
Jean‐Pierre Raynaud
160 papers receiving 5.8k citations
Peers
Comparison fields: 5 of 132
- Endocrinology, Diabetes and Metabolism 2.3k
- Genetics 2.1k
- Molecular Biology 1.8k
- Pulmonary and Respiratory Medicine 1.3k
- Reproductive Medicine 1.1k
Countries citing papers authored by Jean‐Pierre Raynaud
This map shows the geographic impact of Jean‐Pierre Raynaud'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 Raynaud 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 Raynaud more than expected).
Fields of papers citing papers by Jean‐Pierre Raynaud
This network shows the impact of papers produced by Jean‐Pierre Raynaud. 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 Raynaud. The network helps show where Jean‐Pierre Raynaud may publish in the future.
Co-authorship network of co-authors of Jean‐Pierre Raynaud
This figure shows the co-authorship network connecting the top 25 collaborators of Jean‐Pierre Raynaud. A scholar is included among the top collaborators of Jean‐Pierre Raynaud 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 Raynaud. Jean‐Pierre Raynaud is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 22 | |
| 4 | 4 | |
| 5 | 5 | |
| 6 | 1 | |
| 7 | 5 | |
| 8 | 3 | |
| 9 | 19 | |
| 10 | 29 | |
| 11 | 47 | |
| 12 | 12 | |
| 13 | 6 | |
| 14 | 9 | |
| 15 | 7 | |
| 16 | 16 | |
| 17 | 46 | |
| 18 | Simplified technique for taking herbage samples and counting the larvae of parasitic nematodes in order to assess the infestation of cattle pastures. | 31 |
| 19 | Progesterone receptors in normal and neoplastic tissues | 265 |
| 20 | 97 |
About Jean‐Pierre Raynaud
Jean‐Pierre Raynaud is a scholar working on Endocrinology, Diabetes and Metabolism, Small Animals and Reproductive Medicine, having authored 165 papers that have together received 6.5k indexed citations. Recurring topics across this work include Hormonal and reproductive studies (64 papers), Estrogen and related hormone effects (50 papers) and Prostate Cancer Treatment and Research (31 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.3k citations), Reproductive Medicine (1.1k citations) and Behavioral Neuroscience (306 citations). Jean‐Pierre Raynaud has collaborated with scholars based in France, Canada and United States. Frequent co-authors include C. Bonne, Fernand Labrie, Tiiu Ojasoo, M. Moguilewsky, D. Philibert, Peter Hunt, E.E. Baulieu, Etienne‐Emile Baulieu, William McGuire and Christine Mercier-Bodard. Their work appears in journals such as JNCI Journal of the National Cancer Institute, Brain Research and Endocrinology.
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.