Françoise Vignon

5.4k total citations
76 papers, 4.5k citations indexed

About

Françoise Vignon is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Françoise Vignon has authored 76 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 39 papers in Genetics and 17 papers in Oncology. Recurrent topics in Françoise Vignon's work include Estrogen and related hormone effects (37 papers), Protease and Inhibitor Mechanisms (10 papers) and Cytokine Signaling Pathways and Interactions (8 papers). Françoise Vignon is often cited by papers focused on Estrogen and related hormone effects (37 papers), Protease and Inhibitor Mechanisms (10 papers) and Cytokine Signaling Pathways and Interactions (8 papers). Françoise Vignon collaborates with scholars based in France, Spain and United States. Françoise Vignon's co-authors include Henri Rochefort, Gwendal Lazennec, Gilles Freiss, Danielle Derocq, Sylvie Bardon, Dany Chalbos, Annick Lucas, Vincent Cavaillès, Pascal Pujol and Marcel Garcia and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Cell Biology and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Françoise Vignon

76 papers receiving 4.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Françoise Vignon France 37 2.3k 1.9k 1.4k 939 489 76 4.5k
Sandra Z. Haslam United States 41 1.9k 0.8× 2.2k 1.1× 2.6k 1.9× 645 0.7× 528 1.1× 95 4.9k
A. E. Wakeling United Kingdom 38 3.1k 1.4× 3.6k 1.8× 2.9k 2.1× 995 1.1× 707 1.4× 72 6.8k
Gwendal Lazennec France 39 2.4k 1.0× 2.0k 1.0× 2.3k 1.7× 839 0.9× 280 0.6× 69 5.6k
Shin‐ichi Hayashi Japan 37 3.0k 1.3× 1.3k 0.7× 1.4k 1.0× 848 0.9× 260 0.5× 91 4.9k
Urs Eppenberger Switzerland 35 2.5k 1.1× 875 0.4× 1.3k 0.9× 875 0.9× 204 0.4× 120 4.1k
James L. Wittliff United States 34 1.5k 0.7× 1.7k 0.9× 1.2k 0.9× 881 0.9× 344 0.7× 164 4.1k
Steven K. Nordeen United States 40 3.0k 1.3× 2.1k 1.1× 731 0.5× 674 0.7× 686 1.4× 94 5.1k
Mary C. Weiss France 48 3.8k 1.7× 1.5k 0.8× 924 0.7× 427 0.5× 297 0.6× 118 6.4k
Richard J. Imbra United States 10 2.4k 1.1× 597 0.3× 621 0.4× 600 0.6× 143 0.3× 13 3.6k
C. Richard Lyttle United States 37 1.9k 0.8× 2.5k 1.3× 1.1k 0.8× 417 0.4× 702 1.4× 94 5.2k

Countries citing papers authored by Françoise Vignon

Since Specialization
Citations

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

Fields of papers citing papers by Françoise Vignon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Françoise Vignon

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

All Works

20 of 20 papers shown
1.
Oliva, Joan, Selma El Messaoudi, Franck Pellestor, et al.. (2005). Involvement of HP1α protein in irreversible transcriptional inactivation by antiestrogens in breast cancer cells. FEBS Letters. 579(20). 4278–4286. 8 indexed citations
2.
Freiss, Gilles, Florence Galtier, Carole Puech, et al.. (2005). Anti-growth factor activities of benzothiophenes in human breast cancer cells. The Journal of Steroid Biochemistry and Molecular Biology. 94(5). 451–460. 5 indexed citations
3.
Liaudet‐Coopman, Emmanuelle, Mélanie Beaujouin, Danielle Derocq, et al.. (2005). Cathepsin D: newly discovered functions of a long-standing aspartic protease in cancer and apoptosis. Cancer Letters. 237(2). 167–179. 268 indexed citations
4.
Abella, Anna, Pierre Dubus, Marcos Malumbres, et al.. (2005). Cdk4 promotes adipogenesis through PPARγ activation. Cell Metabolism. 2(4). 239–249. 120 indexed citations
5.
Pillon, Arnaud, Anne‐Marie Boussioux, Aurélie Escande, et al.. (2004). Binding of Estrogenic Compounds to Recombinant Estrogen Receptor-α: Application to Environmental Analysis. Environmental Health Perspectives. 113(3). 278–284. 89 indexed citations
6.
Margueron, Raphaël, Vanessa Duong, Sandrine Bonnet, et al.. (2004). Histone deacetylase inhibition and estrogen receptor alpha levels modulate the transcriptional activity of partial antiestrogens. Journal of Molecular Endocrinology. 32(2). 583–594. 42 indexed citations
7.
Bardin, Allison J., Nathalie Boulle, Gwendal Lazennec, Françoise Vignon, & Pascal Pujol. (2004). Loss of ERβ expression as a common step in estrogen-dependent tumor progression. Endocrine Related Cancer. 11(3). 537–551. 339 indexed citations
8.
Jolivel, Valérie, Sébastien Durand, Nathalie Kersual, et al.. (2004). Mechanisms underlying differential expression of interleukin-8 in breast cancer cells. Oncogene. 23(36). 6105–6114. 95 indexed citations
9.
Lucas, Annick, et al.. (2003). Comparative transductions of breast cancer cells by three DNA viruses. Biochemical and Biophysical Research Communications. 309(4). 1011–1016. 19 indexed citations
10.
Brouillet, Jean‐Paul, et al.. (2003). IL-8 expression and its possible relationship with estrogen-receptor-negative status of breast cancer cells. Oncogene. 22(2). 256–265. 197 indexed citations
11.
12.
Lazennec, Gwendal, et al.. (2001). ERβ Inhibits Proliferation and Invasion of Breast Cancer Cells. Endocrinology. 142(9). 4120–4130. 329 indexed citations
13.
14.
Vignon, Françoise & Henri Rochefort. (1992). Interactions of pro-cathepsin D and IGF-II on the mannose-6-phosphate / IGF-II receptor. Breast Cancer Research and Treatment. 22(1). 47–57. 21 indexed citations
15.
16.
Freiss, Gilles, et al.. (1990). Anti-steroidal and anti-growth factor activities of anti-estrogens. The Journal of Steroid Biochemistry and Molecular Biology. 37(6). 777–781. 38 indexed citations
17.
Freiss, Gilles, Henri Rochefort, & Françoise Vignon. (1990). Mechanisms of 4-hydroxytamoxifen anti-growth factor activity in breast cancer cells: Alterations of growth factor receptor binding sites and tyrosine kinase activity. Biochemical and Biophysical Research Communications. 173(3). 919–926. 51 indexed citations
18.
Rochefort, Henri, Patrick Augereau, Pierre Briozzo, et al.. (1988). Structure, function, regulation and clinical significance of the 52K pro-cathepsin D secreted by breast cancer cells. Biochimie. 70(7). 943–949. 49 indexed citations
19.
Gill, Patrice, Françoise Vignon, Sylvie Bardon, Danielle Derocq, & Henri Rochefort. (1987). Difference between R5020 and the antiprogestin RU486 in antiproliferative effects on human breast cancer cells. Breast Cancer Research and Treatment. 10(1). 37–45. 51 indexed citations
20.
Vignon, Françoise & Henri Rochefort. (1978). Nuclear translocation of the estrogen receptor in autonomous C3H mouse mammary tumors.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 38(6). 1808–14. 17 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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