Jean Coll

2.6k total citations · 1 hit paper
42 papers, 2.2k citations indexed

About

Jean Coll is a scholar working on Molecular Biology, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Jean Coll has authored 42 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 15 papers in Oncology and 12 papers in Pathology and Forensic Medicine. Recurrent topics in Jean Coll's work include Viral-associated cancers and disorders (12 papers), Genomics and Chromatin Dynamics (10 papers) and Lymphoma Diagnosis and Treatment (9 papers). Jean Coll is often cited by papers focused on Viral-associated cancers and disorders (12 papers), Genomics and Chromatin Dynamics (10 papers) and Lymphoma Diagnosis and Treatment (9 papers). Jean Coll collaborates with scholars based in France, Germany and Mali. Jean Coll's co-authors include D. Stéhelin, Catherine Hänni, Vincent Laudet, François Catzeflis, Thierry Dugimont, Éric Adriaenssens, Jean‐Jacques Curgy, Séverine Lottin, Nathalie Berteaux and Hubert Hondermarck and has published in prestigious journals such as Journal of Biological Chemistry, The EMBO Journal and Blood.

In The Last Decade

Jean Coll

42 papers receiving 2.2k citations

Hit Papers

Evolution of the nuclear receptor gene superfamily. 1992 2026 2003 2014 1992 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jean Coll France 25 1.6k 801 605 309 263 42 2.2k
Susanne Wagner United States 26 1.6k 1.0× 621 0.8× 414 0.7× 499 1.6× 523 2.0× 61 3.1k
Jörn Krätzschmar Germany 25 1.2k 0.8× 313 0.4× 381 0.6× 480 1.6× 277 1.1× 35 2.4k
Takao Isogai Japan 22 1.6k 1.0× 531 0.7× 230 0.4× 231 0.7× 192 0.7× 55 2.5k
Hui Ge United States 27 3.3k 2.1× 252 0.3× 583 1.0× 311 1.0× 375 1.4× 47 4.0k
Chao‐Xing Yuan United States 16 1.9k 1.2× 258 0.3× 601 1.0× 325 1.1× 138 0.5× 25 2.3k
Corinne Wendling France 25 1.7k 1.1× 718 0.9× 202 0.3× 536 1.7× 526 2.0× 33 2.9k
Phillip Shaw Switzerland 19 1.5k 0.9× 338 0.4× 373 0.6× 849 2.7× 184 0.7× 24 2.3k
Scott Malstrom United States 11 1.9k 1.2× 411 0.5× 193 0.3× 547 1.8× 388 1.5× 13 2.5k
Elisabeth Kowenz‐Leutz Germany 20 1.7k 1.1× 318 0.4× 259 0.4× 405 1.3× 560 2.1× 31 2.3k
Bruce R. Westley United Kingdom 35 1.6k 1.0× 432 0.5× 709 1.2× 759 2.5× 696 2.6× 69 3.1k

Countries citing papers authored by Jean Coll

Since Specialization
Citations

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

Fields of papers citing papers by Jean Coll

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jean Coll

This figure shows the co-authorship network connecting the top 25 collaborators of Jean Coll. A scholar is included among the top collaborators of Jean Coll 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 Coll. Jean Coll 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.
Moralès, Olivier, Stéphane Depil, Nathalie Martin, et al.. (2012). EBV Latency II-derived Peptides Induce A Specific CD4+ Cytotoxic T-cell Activity and Not A CD4+ Regulatory T-cell Response. Journal of Immunotherapy. 35(3). 254–266. 14 indexed citations
2.
Ndour, Papa Alioune, Tan‐Sothéa Ouk, Olivier Moralès, et al.. (2012). Inhibition of Latent Membrane Protein 1 Impairs the Growth and Tumorigenesis of Latency II Epstein-Barr Virus-Transformed T Cells. Journal of Virology. 86(7). 3934–3943. 11 indexed citations
3.
Ndour, Papa Alioune, Tan‐Sothéa Ouk, Alexandra Mougel, et al.. (2009). Inhibition of tumor necrosis factor-induced phenotypes by short intracellular versions of latent membrane protein-1. Cellular Signalling. 22(2). 303–313. 4 indexed citations
4.
Berteaux, Nathalie, Guy Cathala, Céline Genton, et al.. (2008). A Novel H19 Antisense RNA Overexpressed in Breast Cancer Contributes to Paternal IGF2 Expression. Molecular and Cellular Biology. 28(22). 6731–6745. 120 indexed citations
5.
Berteaux, Nathalie, Séverine Lottin, Didier Monté, et al.. (2005). H19 mRNA-like Noncoding RNA Promotes Breast Cancer Cell Proliferation through Positive Control by E2F1. Journal of Biological Chemistry. 280(33). 29625–29636. 303 indexed citations
6.
Berteaux, Nathalie, Séverine Lottin, Éric Adriaenssens, et al.. (2004). Hormonal regulation of H19 gene expression in prostate epithelial cells. Journal of Endocrinology. 183(1). 69–78. 30 indexed citations
8.
Masy, E., Éric Adriaenssens, Claude Auriault, & Jean Coll. (2002). La protéine oncogène LMP1 du virus d'Epstein-Barr : voies de signalisation et phénotypes associés. Virologie. 6(5). 379–390. 1 indexed citations
9.
Adriaenssens, Éric, Séverine Lottin, Nathalie Berteaux, et al.. (2002). Cross-Talk between Mesenchyme and Epithelium Increases H19 Gene Expression during Scattering and Morphogenesis of Epithelial Cells. Experimental Cell Research. 275(2). 215–229. 32 indexed citations
10.
Paumelle, Réjane, David Tulasne, Catherine Leroy, et al.. (2000). Sequential Activation of ERK and Repression of JNK by Scatter Factor/Hepatocyte Growth Factor in Madin-Darby Canine Kidney Epithelial Cells. Molecular Biology of the Cell. 11(11). 3751–3763. 60 indexed citations
11.
Adriaenssens, Éric, Séverine Lottin, Thierry Dugimont, et al.. (1999). Steroid hormones modulate H19 gene expression in both mammary gland and uterus. Oncogene. 18(31). 4460–4473. 74 indexed citations
12.
Coll, Jean, et al.. (1998). DMSO Reduces CSF-1 Receptor Levels and Causes Apoptosis in v-mycImmortalized Mouse Macrophages. Experimental Cell Research. 243(1). 94–100. 30 indexed citations
13.
Kherrouche, Zoulika, et al.. (1998). Isolation and characterization of a chicken homologue of the Spi-1/PU.1 transcription factor. Oncogene. 16(10). 1357–1367. 12 indexed citations
14.
Dugimont, Thierry, Éric Adriaenssens, Séverine Lottin, et al.. (1998). The H19 TATA-less promoter is efficiently repressed by wild-type tumor suppressor gene product p53. Oncogene. 16(18). 2395–2401. 92 indexed citations
15.
Groux, Hervé, et al.. (1998). Lymphoproliférations T associées au virus d'Epstein-Barr.. médecine/sciences. 14(6-7). 690–690. 1 indexed citations
16.
Dugimont, Thierry, Jean‐Jacques Curgy, Nicolas Wernert, et al.. (1995). The H19 gene is expressed within both epithelial and stromal components of human invasive adenocarcinomas. Biology of the Cell. 85(2-3). 117–124. 36 indexed citations
17.
Hänni, Catherine, Vincent Laudet, Jean Coll, & D. Stéhelin. (1994). An Unusual Mitochondrial DNA Sequence Variant from an Egyptian Mummy. Genomics. 22(2). 487–489. 10 indexed citations
18.
Lassalle, Philippe, C. Lagrou, Yves Delneste, et al.. (1992). Human endothelial cells transfected by SV40 T antigens: characterization and potential use as a source of normal endothelial factors. European Journal of Immunology. 22(2). 425–431. 32 indexed citations
19.
Dozier, Christine, Fabienne Denhez, C. Henry, et al.. (1988). Alternative Splicing of RNAs Transcribed from the Chicken c-mil Gene. Molecular and Cellular Biology. 8(4). 1835–1838. 3 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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