Michel Baron

1.5k total citations
31 papers, 1.2k citations indexed

About

Michel Baron is a scholar working on Molecular Biology, Immunology and Rheumatology. According to data from OpenAlex, Michel Baron has authored 31 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 8 papers in Immunology and 7 papers in Rheumatology. Recurrent topics in Michel Baron's work include Cytomegalovirus and herpesvirus research (4 papers), Rheumatoid Arthritis Research and Therapies (4 papers) and Autoimmune and Inflammatory Disorders Research (3 papers). Michel Baron is often cited by papers focused on Cytomegalovirus and herpesvirus research (4 papers), Rheumatoid Arthritis Research and Therapies (4 papers) and Autoimmune and Inflammatory Disorders Research (3 papers). Michel Baron collaborates with scholars based in France, United States and Netherlands. Michel Baron's co-authors include J. Davignon, Gérard Tiraby, Jean-Paul Reynes, Arnaud Constantin, Rémy Poupot, Myriam Hayder, Thierry Calmels, Yannick Degboé, A. Cantagrel and Florence Apparailly and has published in prestigious journals such as Nucleic Acids Research, The Journal of Immunology and Applied and Environmental Microbiology.

In The Last Decade

Michel Baron

29 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michel Baron France 17 623 331 157 153 143 31 1.2k
Mamatha M. Reddy United States 24 765 1.2× 379 1.1× 86 0.5× 320 2.1× 59 0.4× 72 2.0k
Mary C. Graves United States 18 935 1.5× 437 1.3× 104 0.7× 182 1.2× 307 2.1× 33 2.2k
Qili Chu United States 17 881 1.4× 196 0.6× 157 1.0× 41 0.3× 154 1.1× 36 1.5k
Sen Yang China 27 676 1.1× 909 2.7× 271 1.7× 301 2.0× 288 2.0× 161 2.8k
Miguel Relloso Spain 20 353 0.6× 731 2.2× 33 0.2× 181 1.2× 88 0.6× 32 1.2k
Sandhya Boyapalle United States 15 1.0k 1.7× 164 0.5× 47 0.3× 226 1.5× 96 0.7× 25 1.6k
Malgorzata Garstka China 20 456 0.7× 628 1.9× 30 0.2× 238 1.6× 38 0.3× 33 1.4k
Praveen Kumar Dubey India 26 950 1.5× 475 1.4× 46 0.3× 287 1.9× 197 1.4× 81 2.3k
Hans‐Peter Vornlocher Germany 29 2.4k 3.8× 248 0.7× 28 0.2× 232 1.5× 277 1.9× 45 2.8k
Anna M. Grabowska United Kingdom 29 998 1.6× 284 0.9× 36 0.2× 449 2.9× 214 1.5× 101 2.4k

Countries citing papers authored by Michel Baron

Since Specialization
Citations

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

Fields of papers citing papers by Michel Baron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michel Baron

This figure shows the co-authorship network connecting the top 25 collaborators of Michel Baron. A scholar is included among the top collaborators of Michel Baron 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 Michel Baron. Michel Baron 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.
2.
Hétet, Jean-François, et al.. (2023). Management of testicular cancer: Practice survey in localized stage. Canadian Urological Association Journal. 17(8). E236–E243.
3.
Baron, Michel, Yannick Degboé, Jean‐Frédéric Boyer, et al.. (2021). Evidence for tmTNF reverse signaling in vivo: Implications for an arginase-1-mediated therapeutic effect of TNF inhibitors during inflammation. iScience. 24(4). 102331–102331. 7 indexed citations
4.
Rauwel, Benjamin, Michel Baron, Emmanuelle Lacassagne, et al.. (2019). AB0040 JAK INHIBITORS – BARICITINIB AND TOFACITINIB – MODULATE THE IN VITRO INFLAMMATORY AND ALTERNATIVE POLARIZATIONS OF MACROPHAGES. Annals of the Rheumatic Diseases. 78. 1486–1487. 4 indexed citations
5.
Rauwel, Benjamin, Yannick Degboé, Michel Baron, et al.. (2019). Inhibition of Osteoclastogenesis by the RNA-Binding Protein QKI5: a Novel Approach to Protect from Bone Resorption. Journal of Bone and Mineral Research. 35(4). 753–765. 12 indexed citations
6.
Baron, Michel, et al.. (2016). Anti-TNF certolizumab pegol induces antioxidant response in human monocytes via reverse signaling. Arthritis Research & Therapy. 18(1). 56–56. 13 indexed citations
7.
Davignon, J., Myriam Hayder, Michel Baron, et al.. (2012). Targeting monocytes/macrophages in the treatment of rheumatoid arthritis. Lara D. Veeken. 52(4). 590–598. 173 indexed citations
8.
9.
Hayder, Myriam, Mary Poupot, Michel Baron, et al.. (2011). A Phosphorus-Based Dendrimer Targets Inflammation and Osteoclastogenesis in Experimental Arthritis. Science Translational Medicine. 3(81). 81ra35–81ra35. 198 indexed citations
10.
Courties, Gabriel, Jessy Présumey, Michel Baron, et al.. (2010). Cytosolic phospholipase A2α gene silencing in monocytes alters development of Th1 responses and reduces autoimmune arthritis. Journal of Translational Medicine. 8(S1). 4 indexed citations
11.
Courties, Gabriel, Michel Baron, Jessy Présumey, et al.. (2010). Cytosolic phospholipase A2α gene silencing in the myeloid lineage alters development of Th1 responses and reduces disease severity in collagen-induced arthritis. Arthritis & Rheumatism. 63(3). 681–690. 25 indexed citations
12.
Baron, Michel & J. Davignon. (2008). Inhibition of IFN-γ-Induced STAT1 Tyrosine Phosphorylation by Human CMV Is Mediated by SHP2. The Journal of Immunology. 181(8). 5530–5536. 53 indexed citations
13.
Bourgeade‐Delmas, Sandra, Laurence Martin, Michel Baron, et al.. (2005). Optimization of CD4+ T Lymphocyte Response to Human Cytomegalovirus Nuclear IE1 Protein through Modifications of Both Size and Cellular Localization. The Journal of Immunology. 175(10). 6812–6819. 7 indexed citations
14.
Cazaux, Christophe, et al.. (1998). Concomitant expression ofE. colicytosine deaminase and uracil phosphoribosyltransferase improves the cytotoxicity of 5-fluorocytosine. FEMS Microbiology Letters. 167(1). 41–49. 62 indexed citations
15.
Baron, Michel, et al.. (1992). Efficient secretion of human lysozyme fused to the Sh ble phleomycin resistance protein by the fungus Tolypocladium geodes. Journal of Biotechnology. 24(3). 253–266. 8 indexed citations
16.
Baron, Michel, Jean-Paul Reynes, Diane L. Stassi, & Gérard Tiraby. (1992). A selectable bifunctional β-galactosidase::phleomycin-resistance fusion protein as a potential marker for eukaryotic cells. Gene. 114(2). 239–243. 22 indexed citations
17.
Calmels, Thierry, et al.. (1990). Cassettes of theStreptoalloteichus hindustanus blegene for transformation of lower and higher eukaryotes to phleomycin resistance. Nucleic Acids Research. 18(13). 4009–4009. 161 indexed citations
18.
19.
Gatignol, Anne, Michel Baron, & Gérard Tiraby. (1987). Phleomycin resistance encoded by the ble gene from transposon Tn 5 as a dominant selectable marker in Saccharomyces cerevisiae. Molecular and General Genetics MGG. 207(2-3). 342–348. 68 indexed citations
20.
Baron, Michel, et al.. (1977). Synovial haemangioma of the knee: Light and electron microscopic findings. The Journal of Pathology. 123(4). 247–255. 5 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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