V Vivat

1.7k total citations · 1 hit paper
8 papers, 1.4k citations indexed

About

V Vivat is a scholar working on Genetics, Molecular Biology and Immunology. According to data from OpenAlex, V Vivat has authored 8 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Genetics, 5 papers in Molecular Biology and 3 papers in Immunology. Recurrent topics in V Vivat's work include Estrogen and related hormone effects (8 papers), Reproductive System and Pregnancy (3 papers) and Receptor Mechanisms and Signaling (3 papers). V Vivat is often cited by papers focused on Estrogen and related hormone effects (8 papers), Reproductive System and Pregnancy (3 papers) and Receptor Mechanisms and Signaling (3 papers). V Vivat collaborates with scholars based in France. V Vivat's co-authors include Hinrich Gronemeyer, Natacha Rochel, Marc Ruff, Jean‐Paul Renaud, Pierre Chambon, Dino Moras, David M. Heery, M. J. Heine, Pierre Chambon and Elmar vom Baur and has published in prestigious journals such as Nature, Journal of Biological Chemistry and The EMBO Journal.

In The Last Decade

V Vivat

8 papers receiving 1.4k citations

Hit Papers

Crystal structure of the RAR-γ ligand-binding domain boun... 1995 2026 2005 2015 1995 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
V Vivat France 8 1.1k 855 255 170 131 8 1.4k
S. Green France 6 981 0.9× 971 1.1× 197 0.8× 276 1.6× 174 1.3× 7 1.5k
M. J. Heine France 5 986 0.9× 940 1.1× 126 0.5× 215 1.3× 140 1.1× 5 1.3k
Pierre Chambon France 7 1.1k 1.0× 1.2k 1.4× 127 0.5× 210 1.2× 159 1.2× 8 1.6k
Karin Dahlman Sweden 8 787 0.7× 825 1.0× 145 0.6× 266 1.6× 175 1.3× 8 1.2k
John A. A. Ladias United States 22 1.5k 1.4× 594 0.7× 317 1.2× 222 1.3× 126 1.0× 35 2.0k
Andreas Hörlein Germany 10 2.2k 2.1× 1.5k 1.7× 370 1.5× 442 2.6× 258 2.0× 13 2.8k
Sylvie Mader Canada 22 1.6k 1.5× 864 1.0× 150 0.6× 139 0.8× 216 1.6× 39 2.2k
M. T. Bocquel France 14 1.6k 1.5× 1.8k 2.2× 214 0.8× 468 2.8× 470 3.6× 15 2.7k
Valérie Vivat France 11 919 0.9× 456 0.5× 154 0.6× 50 0.3× 108 0.8× 16 1.1k
Thomas J. Berrodin United States 17 639 0.6× 655 0.8× 91 0.4× 320 1.9× 116 0.9× 23 1.1k

Countries citing papers authored by V Vivat

Since Specialization
Citations

This map shows the geographic impact of V Vivat'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 V Vivat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites V Vivat more than expected).

Fields of papers citing papers by V Vivat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by V Vivat. 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 V Vivat. The network helps show where V Vivat may publish in the future.

Co-authorship network of co-authors of V Vivat

This figure shows the co-authorship network connecting the top 25 collaborators of V Vivat. A scholar is included among the top collaborators of V Vivat 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 V Vivat. V Vivat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Vivat, V, Dominique Gofflo, Teresa García, et al.. (1997). Sequences in the ligand-binding domains of the human androgen and progesterone receptors which determine their distinct ligand identities. Journal of Molecular Endocrinology. 18(2). 147–160. 20 indexed citations
2.
Douarin, Bertrand Le, Elmar vom Baur, Christina Zechel, et al.. (1996). Ligand-dependent interaction of nuclear receptors with potential transcriptional intermediary factors (mediators). Philosophical Transactions of the Royal Society B Biological Sciences. 351(1339). 569–578. 33 indexed citations
3.
Baur, Elmar vom, Christina Zechel, David M. Heery, et al.. (1996). Differential ligand-dependent interactions between the AF-2 activating domain of nuclear receptors and the putative transcriptional intermediary factors mSUG1 and TIF1.. The EMBO Journal. 15(1). 110–124. 345 indexed citations
4.
Renaud, Jean‐Paul, Natacha Rochel, Marc Ruff, et al.. (1995). Crystal structure of the RAR-γ ligand-binding domain bound to all-trans retinoic acid. Nature. 378(6558). 681–689. 895 indexed citations breakdown →
5.
Cohen-Tannoudji, Joëlle, et al.. (1994). Pregnancy-related modifications of rat myometrial Gs proteins: ADP ribosylation, immunoreactivity and gene expression studies. Journal of Molecular Endocrinology. 13(1). 23–37. 33 indexed citations
6.
Vivat, V, Joëlle Cohen-Tannoudji, J P Revelli, et al.. (1992). Progesterone transcriptionally regulates the beta 2-adrenergic receptor gene in pregnant rat myometrium.. Journal of Biological Chemistry. 267(12). 7975–7978. 55 indexed citations
7.
Cohen-Tannoudji, Joëlle, et al.. (1991). Regulation by progesterone of the high-affinity state of myometrial β-adrenergic receptor and of adenylate cyclase activity in the pregnant rat. Journal of Molecular Endocrinology. 6(2). 137–145. 40 indexed citations
8.
Legrand, C., et al.. (1990). Selective distribution of alpha-1 and beta adrenoceptors in pregnant rat uterus visualized by autoradiography.. Journal of Pharmacology and Experimental Therapeutics. 256(2). 767–772. 11 indexed citations

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.

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