Jean Charron

4.4k total citations
63 papers, 3.3k citations indexed

About

Jean Charron is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Jean Charron has authored 63 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 9 papers in Oncology and 9 papers in Immunology. Recurrent topics in Jean Charron's work include Melanoma and MAPK Pathways (8 papers), PI3K/AKT/mTOR signaling in cancer (5 papers) and Congenital heart defects research (4 papers). Jean Charron is often cited by papers focused on Melanoma and MAPK Pathways (8 papers), PI3K/AKT/mTOR signaling in cancer (5 papers) and Congenital heart defects research (4 papers). Jean Charron collaborates with scholars based in Canada, United States and France. Jean Charron's co-authors include Lucie Jeannotte, Jacques Drouin, Elizabeth J. Robertson, Raymond L. Erikson, Valérie Nadeau, Mona Nemer, Barbara A. Malynn, F W Alt, Stephen P. Goff and Michel G. Tremblay and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Jean Charron

59 papers receiving 3.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jean Charron Canada 30 2.1k 508 481 350 343 63 3.3k
Benoît Bilanges United Kingdom 20 2.0k 0.9× 378 0.7× 300 0.6× 322 0.9× 323 0.9× 27 2.9k
Valerie Christiaens Belgium 26 2.1k 1.0× 382 0.8× 371 0.8× 224 0.6× 378 1.1× 39 3.0k
Francesca Spinella Italy 40 2.4k 1.1× 775 1.5× 582 1.2× 352 1.0× 337 1.0× 94 4.8k
Jeffrey L. Stock United States 30 2.3k 1.1× 465 0.9× 656 1.4× 226 0.6× 506 1.5× 41 4.1k
Jorge Laborda Spain 39 2.9k 1.4× 496 1.0× 925 1.9× 270 0.8× 542 1.6× 86 4.4k
Muriel Laffargue France 31 1.9k 0.9× 359 0.7× 424 0.9× 370 1.1× 920 2.7× 59 3.6k
Younès Achouri Belgium 26 1.8k 0.8× 605 1.2× 375 0.8× 317 0.9× 230 0.7× 53 3.3k
Jaesang Kim South Korea 28 2.3k 1.1× 417 0.8× 417 0.9× 419 1.2× 765 2.2× 63 3.8k
Rosanna Dono France 32 2.5k 1.2× 508 1.0× 531 1.1× 489 1.4× 135 0.4× 61 3.7k
Masaki Takiguchi Japan 35 2.0k 1.0× 362 0.7× 349 0.7× 550 1.6× 527 1.5× 100 3.9k

Countries citing papers authored by Jean Charron

Since Specialization
Citations

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

Fields of papers citing papers by Jean Charron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jean Charron

This figure shows the co-authorship network connecting the top 25 collaborators of Jean Charron. A scholar is included among the top collaborators of Jean Charron 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 Jean Charron. Jean Charron 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.
Liu, Yiwei, Daniel J. Wozniak, Kymberly M. Gowdy, et al.. (2025). Targeting the MEK1/2 pathway to combat Staphylococcus aureus infection and inflammation in cystic fibrosis. mBio. 16(7). e0077525–e0077525. 1 indexed citations
2.
Wu, Hongguang, Dan He, Xin Zhou, et al.. (2021). mTOR Activation Initiates Renal Cell Carcinoma Development by Coordinating ERK and p38MAPK. Cancer Research. 81(12). 3174–3186. 17 indexed citations
3.
Li, Ké, Hongguang Wu, Ao Wang, et al.. (2021). mTOR signaling regulates gastric epithelial progenitor homeostasis and gastric tumorigenesis via MEK1-ERKs and BMP-Smad1 pathways. Cell Reports. 35(5). 109069–109069. 15 indexed citations
4.
Long, Matthew E., William E. Eddy, Ryan S. McMahan, et al.. (2016). MEK1/2 Inhibition Promotes Macrophage Reparative Properties. The Journal of Immunology. 198(2). 862–872. 30 indexed citations
5.
Bouhamdan, Mohamad, Christian Bauerfeld, Jaya Talreja, et al.. (2015). MEK1 dependent and independent ERK activation regulates IL-10 and IL-12 production in bone marrow derived macrophages. Cellular Signalling. 27(10). 2068–2076. 18 indexed citations
6.
Noël, Anastasia, Isabelle Poitras, Franck R. Petry, et al.. (2014). ERK (MAPK) does not phosphorylate tau under physiological conditions in vivo or in vitro. Neurobiology of Aging. 36(2). 901–902. 12 indexed citations
7.
O’Donovan, Kevin J., Kaijie Ma, Hengchang Guo, et al.. (2014). B-RAF kinase drives developmental axon growth and promotes axon regeneration in the injured mature CNS. The Journal of Experimental Medicine. 211(5). 801–814. 77 indexed citations
8.
Whittington, Robert A., Alexis Bretteville, László Virág, et al.. (2013). Anesthesia-induced hypothermia mediates decreased ARC gene and protein expression through ERK/MAPK inactivation. Scientific Reports. 3(1). 1388–1388. 27 indexed citations
9.
Nadeau, Valérie, Vickram Bissonauth, & Jean Charron. (2012). Le rôle des kinasesMek1etMek2dans la formation de la barrière hématoplacentaire chez la souris. médecine/sciences. 28(4). 409–415.
10.
Blasco, Rafael B., Sarah Francoz, David Santamarı́a, et al.. (2011). c-Raf, but Not B-Raf, Is Essential for Development of K-Ras Oncogene-Driven Non-Small Cell Lung Carcinoma. Cancer Cell. 19(5). 652–663. 224 indexed citations
12.
Nadeau, Valérie, et al.. (2009). Map2k1andMap2k2genes contribute to the normal development of syncytiotrophoblasts during placentation. Development. 136(8). 1363–1374. 49 indexed citations
13.
Bissonauth, Vickram, et al.. (2006). Requirement forMap2k1(Mek1) in extra-embryonic ectoderm during placentogenesis. Development. 133(17). 3429–3440. 73 indexed citations
14.
Ma, Sheng, Jean Charron, & Raymond L. Erikson. (2003). Role of Plk2 ( Snk ) in Mouse Development and Cell Proliferation. Molecular and Cellular Biology. 23(19). 6936–6943. 123 indexed citations
15.
Charron, Jean, et al.. (2002). Identification of N-myc Regulatory Regions Involved in Embryonic Expression. Pediatric Research. 51(1). 48–56. 12 indexed citations
16.
LaRochelle, Olivier, et al.. (2001). Phosphorylation Is Involved in the Activation of Metal-regulatory Transcription Factor 1 in Response to Metal Ions. Journal of Biological Chemistry. 276(45). 41879–41888. 97 indexed citations
17.
Charron, Jean, et al.. (2000). N-Myc Shares Cellular Functions with c-Myc. DNA and Cell Biology. 19(6). 353–364. 15 indexed citations
18.
Giroux, Sylvie & Jean Charron. (1998). Defective Development of the Embryonic Liver in N-myc-Deficient Mice. Developmental Biology. 195(1). 16–28. 28 indexed citations
19.
Charron, Jean. (1989). Relations Between Journalists and Public Relations Practitioners: Cooperation, Conflict and Negotation. Canadian Journal of Communication. 14(2). 12 indexed citations
20.
Charron, Jean, Hélène Richard‐Foy, Diana S. Berard, Gordon L. Hager, & Jacques Drouin. (1989). Independent Glucocorticoid Induction and Repression of Two Contiguous Responsive Genes. Molecular and Cellular Biology. 9(7). 3127–3131. 18 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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