Laurent Dianoux

727 total citations
23 papers, 609 citations indexed

About

Laurent Dianoux is a scholar working on Molecular Biology, Immunology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Laurent Dianoux has authored 23 papers receiving a total of 609 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 9 papers in Immunology and 3 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Laurent Dianoux's work include Retinoids in leukemia and cellular processes (7 papers), interferon and immune responses (5 papers) and Ubiquitin and proteasome pathways (5 papers). Laurent Dianoux is often cited by papers focused on Retinoids in leukemia and cellular processes (7 papers), interferon and immune responses (5 papers) and Ubiquitin and proteasome pathways (5 papers). Laurent Dianoux collaborates with scholars based in France, Lebanon and Canada. Laurent Dianoux's co-authors include Mounira K. Chelbi‐Alix, Rihab Nasr, Ali Bazarbachi, Olivier Hermine, Mohamed Ali Maroui, Yaël Zermati, Joëlle Kersual, J. Périès, Marwan El‐Sabban and Hughes de Thé and has published in prestigious journals such as Journal of Biological Chemistry, Blood and The Journal of Immunology.

In The Last Decade

Laurent Dianoux

23 papers receiving 589 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Laurent Dianoux France 12 396 307 94 84 77 23 609
Mutsunori Iga Japan 10 122 0.3× 255 0.8× 74 0.8× 43 0.5× 49 0.6× 18 472
Kamel Sanhadji France 10 114 0.3× 369 1.2× 103 1.1× 107 1.3× 45 0.6× 40 572
Shibani Mitra‐Kaushik United States 12 189 0.5× 277 0.9× 43 0.5× 45 0.5× 37 0.5× 17 446
Toyozo Sekiguchi Japan 12 277 0.7× 296 1.0× 130 1.4× 170 2.0× 59 0.8× 34 623
Vibeke Andresen United States 17 277 0.7× 502 1.6× 334 3.6× 368 4.4× 36 0.5× 29 806
Kazuya Takizawa Japan 13 143 0.4× 166 0.5× 51 0.5× 50 0.6× 22 0.3× 29 343
K Nakano Japan 9 186 0.5× 83 0.3× 19 0.2× 77 0.9× 41 0.5× 22 481
Isabelle Clerc France 12 138 0.3× 363 1.2× 192 2.0× 216 2.6× 69 0.9× 17 550
IS Chen United States 13 96 0.2× 531 1.7× 303 3.2× 318 3.8× 65 0.8× 31 733
Fabian Vandermeers Belgium 9 228 0.6× 359 1.2× 215 2.3× 272 3.2× 31 0.4× 14 645

Countries citing papers authored by Laurent Dianoux

Since Specialization
Citations

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

Fields of papers citing papers by Laurent Dianoux

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laurent Dianoux

This figure shows the co-authorship network connecting the top 25 collaborators of Laurent Dianoux. A scholar is included among the top collaborators of Laurent Dianoux 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 Laurent Dianoux. Laurent Dianoux 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.
Maroui, Mohamed Ali, et al.. (2019). TGF-β induces PML SUMOylation, degradation and PML nuclear body disruption. Cytokine. 120. 264–272. 8 indexed citations
2.
Maarifi, Ghizlane, et al.. (2018). Differential effects of SUMO1 and SUMO3 on PKR activation and stability. Scientific Reports. 8(1). 1277–1277. 15 indexed citations
3.
Maarifi, Ghizlane, Laurent Dianoux, Sébastien Nisole, & Mounira K. Chelbi‐Alix. (2016). Les paralogues de SUMO et la réponse interféron. médecine/sciences. 32(2). 141–143. 1 indexed citations
4.
Maroui, Mohamed Ali, et al.. (2012). Requirement of PML SUMO Interacting Motif for RNF4- or Arsenic Trioxide-Induced Degradation of Nuclear PML Isoforms. PLoS ONE. 7(9). e44949–e44949. 41 indexed citations
5.
Dianoux, Laurent, et al.. (2010). PML positively regulates interferon gamma signaling. Biochimie. 93(3). 389–398. 40 indexed citations
6.
Blondel, Danielle, et al.. (2010). Resistance to Rabies Virus Infection Conferred by the PMLIV Isoform. Journal of Virology. 84(20). 10719–10726. 54 indexed citations
7.
Regad, Tarik, et al.. (2010). SUMOylation Promotes PML Degradation during Encephalomyocarditis Virus Infection. Journal of Virology. 84(22). 11634–11645. 44 indexed citations
8.
Percherancier, Yann, Frédéric Galisson, Xavier H. Mascle, et al.. (2009). Role of SUMO in RNF4-mediated Promyelocytic Leukemia Protein (PML) Degradation. Journal of Biological Chemistry. 284(24). 16595–16608. 52 indexed citations
9.
Bazarbachi, Ali, Rihab Nasr, A. Mahé, et al.. (2000). Evidence against a direct cytotoxic effect of alpha interferon and zidovudine in HTLV-I associated adult T cell leukemia/lymphoma. Leukemia. 14(4). 716–721. 54 indexed citations
10.
Bazarbachi, Ali, Marwan El‐Sabban, Rihab Nasr, et al.. (1999). Arsenic Trioxide and Interferon- Synergize to Induce Cell Cycle Arrest and Apoptosis in Human T-Cell Lymphotropic Virus Type I–Transformed Cells. Blood. 93(1). 278–283. 150 indexed citations
11.
Bazarbachi, Ali, Marwan El‐Sabban, Rihab Nasr, et al.. (1999). Arsenic Trioxide and Interferon- Synergize to Induce Cell Cycle Arrest and Apoptosis in Human T-Cell Lymphotropic Virus Type I–Transformed Cells. Blood. 93(1). 278–283. 9 indexed citations
12.
Djaffar, Isabelle, et al.. (1990). Detection of IAP related transcripts in normal and transformed rat cells. Biochemical and Biophysical Research Communications. 169(1). 222–231. 7 indexed citations
13.
Lasneret, J, et al.. (1990). In vitro induction of early mouse embryo intracisternal particles (ε particles) in cultured cell lines. Biology of the Cell. 69(3). 205–210. 2 indexed citations
14.
Lasneret, J, et al.. (1989). Electron microscopic characterisation of retrovirus and retrovirus-like particles induced by demethylating agents (5-azacytidine and 5-azadeoxycytidine) in Syrian hamster (Mesocricetus auratus) cells.. PubMed. 4(1). 47–56. 5 indexed citations
15.
Saal, F, et al.. (1986). Appearance of Epstein-Barr virus early antigen (EA) in Raji cells infected with retroviruses. Annales de l Institut Pasteur Virologie. 137. 51–57. 1 indexed citations
16.
Markovits, P, et al.. (1983). In vitro propagation of the scrapie agent. Acta Neuropathologica. 60(1-2). 75–80. 14 indexed citations
17.
Dianoux, Laurent, et al.. (1983). Intracisternal A particles: RNA expression and DNA methylation in murine teratocarcinoma cell lines. Journal of Virology. 46(1). 307–310. 33 indexed citations
18.
Markovits, P, Dominique Dormont, R Maunoury, et al.. (1982). [In vitro modification of the morphology and the growth of cells infected with scrapie (author's transl)].. PubMed. 294(7). 305–12. 3 indexed citations
19.
Roseto, A, F. Cavalièri, Laurent Dianoux, et al.. (1980). Electron microscopy detection and characterization of viral particles in dog stools. Archives of Virology. 66(2). 89–93. 10 indexed citations
20.
Lasneret, J, et al.. (1978). [Attempt at activating mouse intracisternal type A particles by iododeoxyuridine and dexamethasone].. PubMed. 287(4). 399–401. 1 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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