Gilles Freiss

2.3k total citations
44 papers, 1.9k citations indexed

About

Gilles Freiss is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Gilles Freiss has authored 44 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 13 papers in Oncology and 11 papers in Genetics. Recurrent topics in Gilles Freiss's work include Protein Tyrosine Phosphatases (18 papers), Estrogen and related hormone effects (11 papers) and Protease and Inhibitor Mechanisms (9 papers). Gilles Freiss is often cited by papers focused on Protein Tyrosine Phosphatases (18 papers), Estrogen and related hormone effects (11 papers) and Protease and Inhibitor Mechanisms (9 papers). Gilles Freiss collaborates with scholars based in France, Netherlands and Mexico. Gilles Freiss's co-authors include Henri Rochefort, Françoise Vignon, Marcel Garcia, Carole Puech, Guillaume Bompard, Dany Chalbos, Danielle Derocq, Purificación Pérez-García, Vincent Cavaillès and F Paolucci and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Cell Biology.

In The Last Decade

Gilles Freiss

44 papers receiving 1.9k citations

Peers

Gilles Freiss
Jeffrey H. Hager United States
F. Capony France
Per Briand Denmark
Anna B. Glinskii United States
Jean Gudas United States
Farzan Rastinejad United States
Jeffrey H. Hager United States
Gilles Freiss
Citations per year, relative to Gilles Freiss Gilles Freiss (= 1×) peers Jeffrey H. Hager

Countries citing papers authored by Gilles Freiss

Since Specialization
Citations

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

Fields of papers citing papers by Gilles Freiss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gilles Freiss

This figure shows the co-authorship network connecting the top 25 collaborators of Gilles Freiss. A scholar is included among the top collaborators of Gilles Freiss 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 Gilles Freiss. Gilles Freiss 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.
Puech, Carole, Evelyne Lopez‐Crapez, Marion Peter, et al.. (2023). PTPN13 Participates in the Regulation of Epithelial–Mesenchymal Transition and Platinum Sensitivity in High-Grade Serous Ovarian Carcinoma Cells. International Journal of Molecular Sciences. 24(20). 15413–15413. 2 indexed citations
2.
Naldi, Aurélien, Gilles Freiss, Marcel Deckert, et al.. (2021). Comparison of SYK Signaling Networks Reveals the Potential Molecular Determinants of Its Tumor-Promoting and Suppressing Functions. Biomolecules. 11(2). 308–308. 3 indexed citations
3.
Coopman, Peter J., et al.. (2020). Dual Role of the PTPN13 Tyrosine Phosphatase in Cancer. Biomolecules. 10(12). 1659–1659. 25 indexed citations
4.
Larive, Romain M., Anne Morel, Serge Urbach, et al.. (2019). The Syk Kinase Promotes Mammary Epithelial Integrity and Inhibits Breast Cancer Invasion by Stabilizing the E-Cadherin/Catenin Complex. Cancers. 11(12). 1974–1974. 16 indexed citations
5.
Naldi, Aurélien, et al.. (2019). Network Reconstruction and Significant Pathway Extraction Using Phosphoproteomic Data from Cancer Cells. PROTEOMICS. 19(21-22). e1800450–e1800450. 6 indexed citations
6.
Bernex, Florence, Romain M. Larive, Aurélien Naldi, et al.. (2019). PTPN13 induces cell junction stabilization and inhibits mammary tumor invasiveness. Theranostics. 10(3). 1016–1032. 16 indexed citations
7.
Naldi, Aurélien, Romain M. Larive, Urszula Czerwińska, et al.. (2017). Reconstruction and signal propagation analysis of the Syk signaling network in breast cancer cells. PLoS Computational Biology. 13(3). e1005432–e1005432. 13 indexed citations
8.
Freiss, Gilles & Dany Chalbos. (2011). PTPN13/PTPL1: An Important Regulator of Tumor Aggressiveness. Anti-Cancer Agents in Medicinal Chemistry. 11(1). 78–88. 42 indexed citations
9.
Glondu-Lassis, Murielle, Magali Lacroix‐Triki, Philippe Nirdé, et al.. (2010). PTPL1/PTPN13 Regulates Breast Cancer Cell Aggressiveness through Direct Inactivation of Src Kinase. Cancer Research. 70(12). 5116–5126. 50 indexed citations
10.
Glondu-Lassis, Murielle, Carine Chavey, Carole Puech, et al.. (2009). Downregulation of protein tyrosine phosphatase PTP-BL represses adipogenesis. The International Journal of Biochemistry & Cell Biology. 41(11). 2173–2180. 18 indexed citations
11.
Révillion, Françoise, Carole Puech, Fanja Rabenoelina, et al.. (2008). Expression of the putative tumor suppressor genePTPN13/PTPL1is an independent prognostic marker for overall survival in breast cancer. International Journal of Cancer. 124(3). 638–643. 41 indexed citations
12.
Bompard, Guillaume, et al.. (2007). The Putative Tumor Suppressor Gene PTPN13/PTPL1 Induces Apoptosis through Insulin Receptor Substrate-1 Dephosphorylation. Cancer Research. 67(14). 6806–6813. 55 indexed citations
13.
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
14.
Semlali, Abdelhabib, et al.. (2002). Effect of prolonged hydroxytamoxifen treatment of MCF‐7 cells on mitogen activated kinase cascade. International Journal of Cancer. 98(5). 698–706. 16 indexed citations
15.
Pujol, Pascal, et al.. (2000). Semiquantitative reverse transcription-polymerase chain reaction to evaluate the expression patterns of genes involved in the oestrogen pathway. Journal of Molecular Endocrinology. 24(3). 433–440. 32 indexed citations
16.
Brouillet, J.P., F. Spyratos, K. Hacène, et al.. (1993). Immunoradiometric assay of pro-cathepsin D in breast cancer cytosol: Relative prognostic value versus total cathepsin D. European Journal of Cancer. 29(9). 1248–1251. 28 indexed citations
17.
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
18.
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
19.
Maudelondé, Thierry, J Domergue, Gilles Freiss, et al.. (1989). Tamoxifen treatment increases the concentration of 52K-cathepsin D and its precursor in breast cancer tissue. Cancer. 63(7). 1265–1270. 23 indexed citations
20.
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

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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