Yves Denizot

3.7k total citations
141 papers, 2.5k citations indexed

About

Yves Denizot is a scholar working on Immunology, Molecular Biology and Hematology. According to data from OpenAlex, Yves Denizot has authored 141 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Immunology, 33 papers in Molecular Biology and 28 papers in Hematology. Recurrent topics in Yves Denizot's work include T-cell and B-cell Immunology (32 papers), Immune Cell Function and Interaction (29 papers) and Monoclonal and Polyclonal Antibodies Research (19 papers). Yves Denizot is often cited by papers focused on T-cell and B-cell Immunology (32 papers), Immune Cell Function and Interaction (29 papers) and Monoclonal and Polyclonal Antibodies Research (19 papers). Yves Denizot collaborates with scholars based in France, United States and Morocco. Yves Denizot's co-authors include Michel Cogné, Vincent Praloran, Eric Pinaud, Christelle Vincent‐Fabert, Rémi Fiancette, Jacques Benveniste, Véronique Truffinet, Franck Trimoreau, N. Nathan and Pauline Rouaud and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Yves Denizot

139 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yves Denizot France 28 1.1k 827 328 324 285 141 2.5k
Haruo Hanawa Japan 32 958 0.8× 773 0.9× 316 1.0× 391 1.2× 157 0.6× 124 2.9k
Chul‐Soo Cho South Korea 29 675 0.6× 750 0.9× 347 1.1× 250 0.8× 136 0.5× 73 2.4k
Hiroaki Matsuno Japan 31 593 0.5× 636 0.8× 310 0.9× 415 1.3× 143 0.5× 100 2.4k
Weiguo Hu China 34 950 0.8× 1.2k 1.5× 708 2.2× 401 1.2× 216 0.8× 138 3.2k
Shogo Kano Japan 30 1.3k 1.2× 641 0.8× 391 1.2× 351 1.1× 87 0.3× 112 3.0k
Ping Zhu China 34 1.8k 1.5× 1.4k 1.7× 532 1.6× 231 0.7× 112 0.4× 142 3.7k
Fumihiko Kimura Japan 21 781 0.7× 700 0.8× 438 1.3× 270 0.8× 221 0.8× 138 2.1k
Richard Aranda United States 20 1.3k 1.1× 464 0.6× 315 1.0× 295 0.9× 393 1.4× 37 3.2k
Steven J. Schrodi United States 26 1.4k 1.3× 878 1.1× 314 1.0× 120 0.4× 142 0.5× 67 3.0k
Kyoung‐Woon Kim South Korea 30 1.2k 1.1× 830 1.0× 587 1.8× 189 0.6× 129 0.5× 64 2.7k

Countries citing papers authored by Yves Denizot

Since Specialization
Citations

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

Fields of papers citing papers by Yves Denizot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yves Denizot

This figure shows the co-authorship network connecting the top 25 collaborators of Yves Denizot. A scholar is included among the top collaborators of Yves Denizot 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 Yves Denizot. Yves Denizot 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.
Carrion, Claire, et al.. (2020). Eμ and 3′RR transcriptional enhancers of the IgH locus cooperate to promote c-myc–induced mature B-cell lymphomas. Blood Advances. 4(1). 28–39. 6 indexed citations
2.
Rouaud, Pauline, et al.. (2014). Elucidation of the enigmatic IgD class-switch recombination via germline deletion of the IgH 3′ regulatory region. The Journal of Experimental Medicine. 211(5). 975–985. 46 indexed citations
3.
Péron, Sophie, Brice Laffleur, Nicolas Denis-Lagache, et al.. (2012). AID-Driven Deletion Causes Immunoglobulin Heavy Chain Locus Suicide Recombination in B Cells. Science. 336(6083). 931–934. 63 indexed citations
4.
Vincent‐Fabert, Christelle, Rémi Fiancette, Eric Pinaud, et al.. (2010). Genomic deletion of the whole IgH 3′ regulatory region (hs3a, hs1,2, hs3b, and hs4) dramatically affects class switch recombination and Ig secretion to all isotypes. Blood. 116(11). 1895–1898. 109 indexed citations
5.
Vincent‐Fabert, Christelle, Véronique Truffinet, Rémi Fiancette, et al.. (2008). Uncoupling between Ig somatic hypermutation and oncogene mutation in mouse lymphoma. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1793(2). 418–426. 4 indexed citations
6.
Truffinet, Véronique, Eric Pinaud, Nadine Cogné, et al.. (2007). The 3′ IgH Locus Control Region Is Sufficient to Deregulate a c- myc Transgene and Promote Mature B Cell Malignancies with a Predominant Burkitt-Like Phenotype. The Journal of Immunology. 179(9). 6033–6042. 51 indexed citations
7.
Denizot, Yves, et al.. (2005). Platelet-activating factor and human thyroid cancer. European Journal of Endocrinology. 153(1). 31–40. 19 indexed citations
8.
Géromin, Daniela, Annie Soulié, Christina Fleet, et al.. (2004). Glycoprotein 170 Induces Platelet-Activating Factor Receptor Membrane Expression and Confers Tumor Cell Hypersensitivity to NK-Dependent Cell Lysis. The Journal of Immunology. 172(6). 3604–3611. 6 indexed citations
9.
10.
Guglielmi, Laurence, Marc Le Bert, Isabelle Comte, et al.. (2003). Combination of 3′ and 5′ IgH regulatory elements mimics the B-specific endogenous expression pattern of IgH genes from pro-B cells to mature B cells in a transgenic mouse model. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1642(3). 181–190. 8 indexed citations
11.
Desplat, Vanessa, et al.. (2000). Effects of Lipoxygenase Metabolites of Arachidonic Acid on the Growth of Human Blood CD34+ Progenitors. Blood Cells Molecules and Diseases. 26(5). 427–436. 11 indexed citations
12.
Trimoreau, Franck, Bruno François, Arnaud Desachy, et al.. (2000). Platelet‐activating factor acetylhydrolase and haemophagocytosis in the sepsis syndrome. Mediators of Inflammation. 9(3-4). 197–200. 16 indexed citations
13.
Denizot, Yves, et al.. (1998). Arachidonic acid and human bone marrow stromal cells. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1402(2). 209–215. 14 indexed citations
14.
Trimoreau, Franck, et al.. (1997). Leukemia inhibitory factor concentrations in the bone marrow plasma of healthy subjects and patients with hematologic malignancies.. PubMed. 8(1). 57–9. 6 indexed citations
15.
Denizot, Yves, et al.. (1994). PAF and hematopoiesis. II. Elevated levels of plasma paf acetylhydrolase after rapid infusion of 5-fluorouracil in cancer patients. Cancer Letters. 85(2). 185–188. 1 indexed citations
16.
17.
Sobhani, Iradj, Yves Denizot, D Rigaud, et al.. (1993). Gastric secretion of platelet activating factor and precursors in healthy humans: effect of pentagastrin.. Gut. 34(8). 1051–1056. 5 indexed citations
18.
Sobhani, Iradj, Yves Denizot, C Vissuzaine, et al.. (1992). Raised concentrations of platelet activating factor in colonic mucosa of Crohn's disease patients.. Gut. 33(9). 1220–1225. 48 indexed citations
19.
Denizot, Yves, Iradj Sobhani, J C Rambaud, et al.. (1990). Paf-acether synthesis by Helicobacter pylori.. Gut. 31(11). 1242–1245. 59 indexed citations
20.
Salem, P, et al.. (1989). Presence of paf‐acether in human thymus. FEBS Letters. 257(1). 49–51. 9 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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