Raphaël Métivier
- Molecular Biology top 1%
- Genetics top 0.5%
- Oncology top 5%
- Cancer Research top 5%
- Immunology top 5%
- Co-authors
- Frank GannonGeorge ReidHeike BrandMichael R. HübnerGraziella PenotMartin KošVladimı́r BenešGilles Flouriot
- Topics
- Estrogen and related hormone effects (32 papers)Genomics and Chromatin Dynamics (15 papers)Epigenetics and DNA Methylation (10 papers)
- Cited by
- GeneticsMolecular BiologyPhysiology
- Journals
- NatureCellPhysical Review Letters
- Partner nations
- FranceGermanyUnited States
In The Last Decade
Raphaël Métivier
56 papers receiving 5.9k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Molecular Biology 4.2k
- Genetics 2.6k
- Oncology 777
- Cancer Research 493
- Immunology 448
Countries citing papers authored by Raphaël Métivier
This map shows the geographic impact of Raphaël Métivier'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 Raphaël Métivier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raphaël Métivier more than expected).
Fields of papers citing papers by Raphaël Métivier
This network shows the impact of papers produced by Raphaël Métivier. 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 Raphaël Métivier. The network helps show where Raphaël Métivier may publish in the future.
Co-authorship network of co-authors of Raphaël Métivier
This figure shows the co-authorship network connecting the top 25 collaborators of Raphaël Métivier. A scholar is included among the top collaborators of Raphaël Métivier 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 Raphaël Métivier. Raphaël Métivier is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 2 | |
| 3 | 4 | |
| 4 | 31 | |
| 5 | 5 | |
| 6 | 149 | |
| 7 | 171 | |
| 8 | 11 | |
| 9 | 2 | |
| 10 | 17 | |
| 11 | 51 | |
| 12 | 27 | |
| 13 | 86 | |
| 14 | 274 | |
| 15 | 69 | |
| 16 | Cyclic, Proteasome-Mediated Turnover of Unliganded and Liganded ERα on Responsive Promoters Is an Integral Feature of Estrogen Signalingbreakdown → | 610 |
| 17 | Estrogen Receptor-α Directs Ordered, Cyclical, and Combinatorial Recruitment of Cofactors on a Natural Target Promoterbreakdown → | 1195 |
| 18 | 130 | |
| 19 | 33 | |
| 20 | 43 |
About Raphaël Métivier
Raphaël Métivier is a scholar working on Genetics, Molecular Biology and Oncology, having authored 56 papers that have together received 6.0k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (32 papers), Genomics and Chromatin Dynamics (15 papers) and Epigenetics and DNA Methylation (10 papers). The work is most often cited by research in Genetics (2.6k citations), Molecular Biology (4.2k citations) and Physiology (155 citations). Raphaël Métivier has collaborated with scholars based in France, Germany and United States. Frequent co-authors include Frank Gannon, George Reid, Heike Brand, Michael R. Hübner, Graziella Penot, Martin Koš, Vladimı́r Beneš, Gilles Flouriot, David Ibberson and Farzad Pakdel. Their work appears in journals such as Nature, Cell and Physical Review Letters.
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.