Robert Girard

1.2k total citations
55 papers, 990 citations indexed

About

Robert Girard is a scholar working on Immunology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Robert Girard has authored 55 papers receiving a total of 990 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Immunology, 19 papers in Molecular Biology and 9 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Robert Girard's work include Immune Response and Inflammation (24 papers), Glycosylation and Glycoproteins Research (8 papers) and Immune Cell Function and Interaction (7 papers). Robert Girard is often cited by papers focused on Immune Response and Inflammation (24 papers), Glycosylation and Glycoproteins Research (8 papers) and Immune Cell Function and Interaction (7 papers). Robert Girard collaborates with scholars based in France, Canada and Morocco. Robert Girard's co-authors include Richard Chaby, Thierry Pédron, Gunnar Sandström, Satoshi Uematsu, M. Morin, Viviane Balloy, Michel Chignard, Shizuo Akira, Mats Andersson and Serge Dubé and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Experimental Medicine and Nature Immunology.

In The Last Decade

Robert Girard

55 papers receiving 937 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robert Girard France 18 443 303 198 181 122 55 990
Marlieke Geerts Netherlands 13 369 0.8× 460 1.5× 125 0.6× 184 1.0× 51 0.4× 17 1.3k
Masashi Kohanawa Japan 17 375 0.8× 220 0.7× 169 0.9× 148 0.8× 101 0.8× 41 1.1k
Carol Shen United States 10 595 1.3× 357 1.2× 75 0.4× 180 1.0× 115 0.9× 16 1.1k
Paul M. Loiselle United States 13 412 0.9× 137 0.5× 85 0.4× 66 0.4× 42 0.3× 14 729
Edward G. Spack United States 14 446 1.0× 369 1.2× 66 0.3× 29 0.2× 86 0.7× 25 1.1k
Julia M. Phillips‐Quagliata United States 14 542 1.2× 190 0.6× 41 0.2× 66 0.4× 52 0.4× 35 984
Deborah L. Novicki United States 14 326 0.7× 273 0.9× 41 0.2× 224 1.2× 52 0.4× 16 968
Diane Gosselin Canada 15 364 0.8× 268 0.9× 281 1.4× 44 0.2× 30 0.2× 24 1.0k
Catherine L. Kennedy Australia 13 319 0.7× 261 0.9× 62 0.3× 121 0.7× 141 1.2× 17 851
A. Wunderlich Germany 14 238 0.5× 226 0.7× 59 0.3× 30 0.2× 158 1.3× 21 791

Countries citing papers authored by Robert Girard

Since Specialization
Citations

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

Fields of papers citing papers by Robert Girard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert Girard

This figure shows the co-authorship network connecting the top 25 collaborators of Robert Girard. A scholar is included among the top collaborators of Robert Girard 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 Robert Girard. Robert Girard 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.
Pédron, Thierry, Robert Girard, & Richard Chaby. (2003). TLR4-dependent Lipopolysaccharide-induced Shedding of Tumor Necrosis Factor Receptors in Mouse Bone Marrow Granulocytes. Journal of Biological Chemistry. 278(23). 20555–20564. 16 indexed citations
2.
Pereira, João P., Robert Girard, Richard Chaby, Ana Cumano, & Paulo Vieira. (2003). Monoallelic expression of the murine gene encoding Toll-like receptor 4. Nature Immunology. 4(5). 464–470. 42 indexed citations
3.
Morin, Michel, et al.. (2003). Peut-on se fier aux statistiques fournies par les banques de données émanant du ministère de la santé ?. Annales de Chirurgie. 129(1). 11–13. 1 indexed citations
4.
Bendavid, Yves, Jean‐François Latulippe, Rami Younan, et al.. (2002). Phase I study on sentinel lymph node mapping in colon cancer: A preliminary report*. Journal of Surgical Oncology. 79(2). 81–84. 66 indexed citations
5.
Pédron, Thierry, Robert Girard, & Richard Chaby. (2000). Protein phosphorylation pathways involved during lipopolysaccharide-induced expression of CD14 in mouse bone marrow granulocytes. FEMS Immunology & Medical Microbiology. 28(3). 247–256. 3 indexed citations
6.
Pédron, Thierry, Robert Girard, & Richard Chaby. (2000). Down-modulation through protein kinase C-α of lipopolysaccharide-induced expression of membrane CD14 in mouse bone marrow granulocytes. Biochemical Pharmacology. 60(12). 1837–1843. 4 indexed citations
7.
8.
Pédron, Thierry, Robert Girard, Kengo Inoue, Daniel Charon, & Richard Chaby. (1997). Lipopolysaccharide and the Glycoside Ring of Staurosporine Induce CD14 Expression on Bone Marrow Granulocytes by Different Mechanisms. Molecular Pharmacology. 52(4). 692–700. 11 indexed citations
9.
Girard, Robert, Thierry Pédron, & Richard Chaby. (1997). Functional lipopolysaccharide receptors of low affinity are constitutively expressed on mouse bone marrow cells. Immunology. 91(3). 391–398. 12 indexed citations
10.
Dayem, Manal Abdel, Yannick Fleury, Ginette Devilliers, et al.. (1996). The putative immunity protein of the Gram-positive bacteriaLeuconostoc mesenteroidesis preferentially located in the cytoplasm compartment. FEMS Microbiology Letters. 138(2-3). 251–259. 23 indexed citations
11.
Pédron, Thierry, Robert Girard, & Richard Chaby. (1995). Variation of LPS-binding capacity, epitope expression, and shedding of membrane-bound CD14 during differentiation of human monocytes. The Journal of Immunology. 155(3). 1460–1471. 25 indexed citations
12.
13.
Girard, Robert, Thierry Pédron, & Richard Chaby. (1993). Endotoxin-induced expression of endotoxin binding sites on murine bone marrow cells. The Journal of Immunology. 150(10). 4504–4513. 18 indexed citations
14.
Pédron, Thierry, et al.. (1992). New synthetic analogs of lipid A as lipopolysaccharide agonists or antagonists of B lymphocyte activation. International Immunology. 4(4). 533–540. 14 indexed citations
15.
Dur, Annick Le, et al.. (1990). Specific binding of lipopolysaccharides to mouse macrophages—II. Involvement of distinct lipid a substructures. Molecular Immunology. 27(8). 763–770. 27 indexed citations
16.
Pédron, Thierry, et al.. (1989). Effects of lipopolysaccharide on macrophages analyzed with anti‐lipid A monoclonal antibodies and polymyxin B. European Journal of Immunology. 19(12). 2219–2225. 23 indexed citations
17.
Dandavino, R, et al.. (1985). Growth response of an adult hypoplastic kidney transplanted in a living-related recipient.. PubMed. 40(6). 723–4. 2 indexed citations
18.
Dandavino, R, C Beaudry, S Carrière, et al.. (1982). Cadaver kidney transplantation: a retrospective comparison of two immunosuppressive regimens.. PubMed. 14(4). 635–9. 1 indexed citations
19.
Corman, J, et al.. (1973). Arteriography during ex vivo renal perfusion A complication. Urology. 2(3). 222–226. 8 indexed citations
20.
Girard, Robert, et al.. (1958). Initiation aux mathématiques. 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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