Raphaël Faucard

857 total citations
11 papers, 389 citations indexed

About

Raphaël Faucard is a scholar working on Immunology, Molecular Biology and Plant Science. According to data from OpenAlex, Raphaël Faucard has authored 11 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 5 papers in Molecular Biology and 4 papers in Plant Science. Recurrent topics in Raphaël Faucard's work include Immunotherapy and Immune Responses (5 papers), Chromosomal and Genetic Variations (4 papers) and Mast cells and histamine (3 papers). Raphaël Faucard is often cited by papers focused on Immunotherapy and Immune Responses (5 papers), Chromosomal and Genetic Variations (4 papers) and Mast cells and histamine (3 papers). Raphaël Faucard collaborates with scholars based in France, Switzerland and South Africa. Raphaël Faucard's co-authors include Hervé Perron, François Curtin, Aloïs B. Lang, Alexandra Madeira, Vincent Armand, Dominique Charron, Ingrid Burgelin, Ryad Tamouza, Marion Leboyer and Hervé Porchet and has published in prestigious journals such as PLoS ONE, Journal of Neurochemistry and Journal of Pharmacology and Experimental Therapeutics.

In The Last Decade

Raphaël Faucard

11 papers receiving 383 citations

Peers

Raphaël Faucard
Ole J. Simon Germany
Xun Li China
Joel Gruchot Germany
Simone Bauer Germany
Robert Gellibolian United States
Guruswamy Mahesh United States
Ole J. Simon Germany
Raphaël Faucard
Citations per year, relative to Raphaël Faucard Raphaël Faucard (= 1×) peers Ole J. Simon

Countries citing papers authored by Raphaël Faucard

Since Specialization
Citations

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

Fields of papers citing papers by Raphaël Faucard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raphaël Faucard

This figure shows the co-authorship network connecting the top 25 collaborators of Raphaël Faucard. A scholar is included among the top collaborators of Raphaël Faucard 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 Raphaël Faucard. Raphaël Faucard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Faucard, Raphaël, Alexandra Madeira, François‐Jérôme Authier, et al.. (2016). Human Endogenous Retrovirus and Neuroinflammation in Chronic Inflammatory Demyelinating Polyradiculoneuropathy. EBioMedicine. 6. 190–198. 34 indexed citations
3.
Madeira, Alexandra, Ingrid Burgelin, Hervé Perron, et al.. (2015). MSRV envelope protein is a potent, endogenous and pathogenic agonist of human toll-like receptor 4: Relevance of GNbAC1 in multiple sclerosis treatment. Journal of Neuroimmunology. 291. 29–38. 55 indexed citations
4.
Curtin, François, Hervé Perron, Raphaël Faucard, Hervé Porchet, & Aloïs B. Lang. (2015). Treatment Against Human Endogenous Retrovirus: A Possible Personalized Medicine Approach for Multiple Sclerosis. Molecular Diagnosis & Therapy. 19(5). 255–265. 14 indexed citations
5.
Perron, Hervé, Raphaël Faucard, Juan S. Medina-Martínez, et al.. (2014). Neurobehavioral abnormalities induced by HERV-W Env in mouse brain: An animal model for HERV-W pathogenicity in schizophrenia?. Neurology Psychiatry and Brain Research. 20(1). 19–20. 1 indexed citations
6.
Derfuß, Tobias, François Curtin, Claire Bridel, et al.. (2014). A phase IIa randomised clinical study of GNbAC1, a humanised monoclonal antibody against the envelope protein of multiple sclerosis-associated endogenous retrovirus in multiple sclerosis patients. Multiple Sclerosis Journal. 21(7). 885–893. 51 indexed citations
7.
García‐Montojo, Marta, María Inmaculada Domínguez‐Mozo, Virginia de las Heras, et al.. (2013). The DNA Copy Number of Human Endogenous Retrovirus-W (MSRV-Type) Is Increased in Multiple Sclerosis Patients and Is Influenced by Gender and Disease Severity. PLoS ONE. 8(1). e53623–e53623. 64 indexed citations
8.
Leboyer, Marion, Ryad Tamouza, Dominique Charron, Raphaël Faucard, & Hervé Perron. (2011). Human endogenous retrovirus type W (HERV-W) in schizophrenia: A new avenue of research at the gene–environment interface. The World Journal of Biological Psychiatry. 14(2). 80–90. 54 indexed citations
9.
Gbahou, Florence, et al.. (2010). Le système histaminergique : une cible pour de nouveaux traitements des deficits cognitifs. Therapies. 65(5). 415–422. 8 indexed citations
10.
Burban, Audrey, Raphaël Faucard, Vincent Armand, et al.. (2009). Histamine Potentiates N-Methyl-d-aspartate Receptors by Interacting with an Allosteric Site Distinct from the Polyamine Binding Site. Journal of Pharmacology and Experimental Therapeutics. 332(3). 912–921. 36 indexed citations
11.
Faucard, Raphaël, Vincent Armand, Anne Héron, et al.. (2006). N‐methyl‐d‐aspartate receptor antagonists enhance histamine neuron activity in rodent brain. Journal of Neurochemistry. 98(5). 1487–1496. 35 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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