Guillaume Perriard

546 total citations
9 papers, 405 citations indexed

About

Guillaume Perriard is a scholar working on Immunology, Pathology and Forensic Medicine and Molecular Biology. According to data from OpenAlex, Guillaume Perriard has authored 9 papers receiving a total of 405 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 5 papers in Pathology and Forensic Medicine and 2 papers in Molecular Biology. Recurrent topics in Guillaume Perriard's work include Multiple Sclerosis Research Studies (5 papers), Immunotherapy and Immune Responses (3 papers) and T-cell and B-cell Immunology (2 papers). Guillaume Perriard is often cited by papers focused on Multiple Sclerosis Research Studies (5 papers), Immunotherapy and Immune Responses (3 papers) and T-cell and B-cell Immunology (2 papers). Guillaume Perriard collaborates with scholars based in Switzerland, France and United States. Guillaume Perriard's co-authors include Amandine Mathias, Mathieu Canales, Renaud Du Pasquier, Myriam Schluep, Nicolas Mérienne, Cécile Meunier, Nicole Déglon, Anselme L. Perrier, Kirsten Richter and Annette Oxenius and has published in prestigious journals such as Neurology, European Journal of Immunology and PLoS Pathogens.

In The Last Decade

Guillaume Perriard

9 papers receiving 401 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Guillaume Perriard Switzerland	7	166	156	94	82	54	9	405
Louisa Papke United States	14	112 0.7×	155 1.0×	63 0.7×	116 1.4×	36 0.7×	17	411
Hans-Joerg Fehling Germany	6	205 1.2×	290 1.9×	118 1.3×	97 1.2×	32 0.6×	6	562
Mikkel Carstensen Denmark	8	135 0.8×	148 0.9×	81 0.9×	99 1.2×	24 0.4×	12	366
Kazuyuki Kawamura Japan	13	145 0.9×	231 1.5×	104 1.1×	102 1.2×	26 0.5×	22	479
Ken Flanagan United States	9	185 1.1×	250 1.6×	170 1.8×	145 1.8×	31 0.6×	12	565
Walter Husar United States	7	245 1.5×	178 1.1×	123 1.3×	162 2.0×	106 2.0×	9	608
David A. Giles United States	10	143 0.9×	342 2.2×	183 1.9×	127 1.5×	27 0.5×	13	630
Jeff Gamez United States	8	94 0.6×	116 0.7×	78 0.8×	152 1.9×	32 0.6×	9	398
Tobias Lautwein Germany	8	253 1.5×	186 1.2×	93 1.0×	83 1.0×	15 0.3×	17	526

Countries citing papers authored by Guillaume Perriard

Since Specialization

Citations

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

Fields of papers citing papers by Guillaume Perriard

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guillaume Perriard

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

All Works

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9 of 9 papers shown

Perriot, Sylvain, Amandine Mathias, Guillaume Perriard, et al.. (2018). Human Induced Pluripotent Stem Cell-Derived Astrocytes Are Differentially Activated by Multiple Sclerosis-Associated Cytokines. Stem Cell Reports. 11(5). 1199–1210. 108 indexed citations

Zecca, Chiara, Oliver Findling, Guillaume Perriard, et al.. (2018). Real‐life long‐term effectiveness of fingolimod in Swiss patients with relapsing‐remitting multiple sclerosis. European Journal of Neurology. 25(5). 762–767. 11 indexed citations

Mérienne, Nicolas, Cécile Meunier, Guillaume Perriard, et al.. (2017). The Self-Inactivating KamiCas9 System for the Editing of CNS Disease Genes. Cell Reports. 20(12). 2980–2991. 90 indexed citations

Zecca, Chiara, Oliver Findling, Guillaume Perriard, et al.. (2017). Real-life long-term effectiveness of fingolimod in a Swiss relapsing-remitting multiple sclerosis cohort (P6.356). Neurology. 88(16_supplement). 1 indexed citations

Mathias, Amandine, Guillaume Perriard, Mathieu Canales, et al.. (2016). The VZV/IE63-specific T cell response prevents herpes zoster in fingolimod-treated patients. Neurology Neuroimmunology & Neuroinflammation. 3(2). e209–e209. 4 indexed citations

Mathias, Amandine, Guillaume Perriard, Mathieu Canales, et al.. (2016). Increased ex vivo antigen presentation profile of B cells in multiple sclerosis. Multiple Sclerosis Journal. 23(6). 802–809. 35 indexed citations

Perriard, Guillaume, Amandine Mathias, Lukas Enz, et al.. (2015). Interleukin-22 is increased in multiple sclerosis patients and targets astrocytes. Journal of Neuroinflammation. 12(1). 119–119. 85 indexed citations

Richter, Kirsten, Guillaume Perriard, Rayk Behrendt, et al.. (2013). Macrophage and T Cell Produced IL-10 Promotes Viral Chronicity. PLoS Pathogens. 9(11). e1003735–e1003735. 50 indexed citations

Richter, Kirsten, Guillaume Perriard, & Annette Oxenius. (2012). Reversal of chronic to resolved infection by IL‐10 blockade is LCMV strain dependent. European Journal of Immunology. 43(3). 649–654. 21 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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