Marc Mesnil

6.6k total citations
102 papers, 5.4k citations indexed

About

Marc Mesnil is a scholar working on Molecular Biology, Genetics and Epidemiology. According to data from OpenAlex, Marc Mesnil has authored 102 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Molecular Biology, 20 papers in Genetics and 6 papers in Epidemiology. Recurrent topics in Marc Mesnil's work include Connexins and lens biology (77 papers), Heat shock proteins research (43 papers) and Bacillus and Francisella bacterial research (19 papers). Marc Mesnil is often cited by papers focused on Connexins and lens biology (77 papers), Heat shock proteins research (43 papers) and Bacillus and Francisella bacterial research (19 papers). Marc Mesnil collaborates with scholars based in France, United States and Canada. Marc Mesnil's co-authors include Hiroshi Yamasaki, Hideo Yamasaki, C. Piccoli, Sophie Crespin, Vladimir Krutovskikh, Norah Defamie, Trond Aasen, Denis Sarrouilhe, Yasufumi Omori and M.L. Dagli and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature reviews. Cancer and PLoS ONE.

In The Last Decade

Marc Mesnil

101 papers receiving 5.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marc Mesnil France 40 4.3k 1.0k 433 350 318 102 5.4k
Björn Olde Sweden 36 3.4k 0.8× 1.3k 1.2× 325 0.8× 461 1.3× 430 1.4× 90 5.7k
Stuart W. Peltz United States 53 7.6k 1.8× 778 0.8× 305 0.7× 390 1.1× 199 0.6× 123 8.9k
Rory A. Fisher United States 39 2.5k 0.6× 569 0.6× 401 0.9× 226 0.6× 592 1.9× 119 4.5k
Lidia Sambucetti United States 22 2.2k 0.5× 444 0.4× 437 1.0× 298 0.9× 505 1.6× 43 3.5k
Craig V. Byus United States 30 2.8k 0.7× 516 0.5× 331 0.8× 248 0.7× 260 0.8× 65 4.6k
Shu‐Wha Lin Taiwan 31 2.8k 0.6× 758 0.7× 392 0.9× 501 1.4× 206 0.6× 139 4.5k
Robbert H. Cool Netherlands 37 4.5k 1.0× 693 0.7× 517 1.2× 275 0.8× 521 1.6× 84 5.7k
Bradley S. Fletcher United States 32 2.4k 0.6× 1.6k 1.6× 556 1.3× 467 1.3× 321 1.0× 71 5.6k
James P. Hoeffler United States 31 2.6k 0.6× 976 1.0× 497 1.1× 316 0.9× 360 1.1× 55 4.5k
Nora Rozengurt United States 27 2.2k 0.5× 475 0.5× 688 1.6× 523 1.5× 261 0.8× 50 4.4k

Countries citing papers authored by Marc Mesnil

Since Specialization
Citations

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

Fields of papers citing papers by Marc Mesnil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marc Mesnil

This figure shows the co-authorship network connecting the top 25 collaborators of Marc Mesnil. A scholar is included among the top collaborators of Marc Mesnil 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 Marc Mesnil. Marc Mesnil 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.
Aftab, Qurratulain, Marc Mesnil, Pierre‐Olivier Strale, et al.. (2019). Cx43-Associated Secretome and Interactome Reveal Synergistic Mechanisms for Glioma Migration and MMP3 Activation. Frontiers in Neuroscience. 13. 143–143. 10 indexed citations
2.
Leithe, Edward, Marc Mesnil, & Trond Aasen. (2017). The connexin 43 C-terminus: A tail of many tales. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1860(1). 48–64. 170 indexed citations
3.
Sin, Wun‐Chey, Sophie Crespin, & Marc Mesnil. (2011). Opposing roles of connexin43 in glioma progression. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1818(8). 2058–2067. 102 indexed citations
4.
Defamie, Norah & Marc Mesnil. (2011). The modulation of gap-junctional intercellular communication by lipid rafts. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1818(8). 1866–1869. 22 indexed citations
5.
Yamasaki, Hiroshi, Yasufumi Omori, Vladimir Krutovskikh, et al.. (2007). Connexins in Tumour Suppression and Cancer Therapy. Novartis Foundation symposium. 219. 241–260. 21 indexed citations
6.
Derangeon, Mickaël, et al.. (2007). Aberrant expression and localization of connexin43 and connexin30 in a rat glioma cell line. Molecular Carcinogenesis. 47(5). 391–401. 38 indexed citations
7.
Hervé, Jean‐Claude, et al.. (2007). The Connexin Turnover, an Important Modulating Factor of the Level of Cell-to-Cell Junctional Communication: Comparison with Other Integral Membrane Proteins. The Journal of Membrane Biology. 217(1-3). 21–33. 39 indexed citations
8.
Mesnil, Marc, et al.. (2005). Defective gap junctional intercellular communication in the carcinogenic process. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1719(1-2). 125–145. 272 indexed citations
9.
Kowaléwski, Cezary, et al.. (1999). Internalization of gap junctions in benign familial pemphigus (Hailey-Hailey disease) and keratosis follicularis (Darier's disease). British Journal of Dermatology. 141(2). 224–230. 3 indexed citations
10.
Krutovskikh, Vladimir, et al.. (1999). Role of connexin (gap junction) genes in cell growth control and carcinogenesis. Comptes Rendus de l Académie des Sciences - Series III - Sciences de la Vie. 322(2-3). 151–159. 142 indexed citations
11.
Cirenei, N., B. Colombo, Marc Mesnil, et al.. (1998). In vitro and in vivo effects of retrovirus-mediated transfer of the connexin 43 gene in malignant gliomas: consequences for HSVtk/GCV anticancer gene therapy. Gene Therapy. 5(9). 1221–1226. 26 indexed citations
12.
13.
Mesnil, Marc, et al.. (1997). Dominant-negative abrogation of connexin-mediated cell growth control by mutant connexin genes. Oncogene. 15(18). 2151–2158. 70 indexed citations
14.
Jansen, L.A.M., Marc Mesnil, & W.M.F. Jongen. (1996). SHORT COMMUNICATION: Inhibition of gap junctional intercellular communication and delocalization of the cell adhesion molecule E-cadherin by tumor promoters. Carcinogenesis. 17(7). 1527–1531. 26 indexed citations
15.
Omori, Yasufumi, Marc Mesnil, & Hiroshi Yamasaki. (1996). Connexin 32 mutations from X-linked Charcot-Marie-Tooth disease patients: functional defects and dominant negative effects.. Molecular Biology of the Cell. 7(6). 907–916. 139 indexed citations
16.
Yamasaki, Hiroshi, Vladimir Krutovskikh, Marc Mesnil, & Yasufumi Omori. (1996). Connexin Genes and Cell Growth Control. Archives of toxicology. Supplement. 18. 105–114. 14 indexed citations
17.
Jansen, L.A.M., Marc Mesnil, J.H. Koeman, & W.M.F. Jongen. (1996). Tumor promoters induce inhibition of gap junctional intercellular communication in mouse epidermal cells by affecting the localization of connexin43 and E-cadherin. Environmental Toxicology and Pharmacology. 1(3). 185–192. 12 indexed citations
18.
19.
Mesnil, Marc, Darryl Rideout, N M Kumar, & Norton B. Gilula. (1994). Non-communicating human and murine carcinoma cells produce α1 gap junction mRNA. Carcinogenesis. 15(8). 1541–1547. 11 indexed citations
20.
Mesnil, Marc, et al.. (1993). Cell‐cell communication and growth control of normal and cancer cells: Evidence and hypothesis. Molecular Carcinogenesis. 7(1). 14–17. 77 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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