Hervé Perron

7.1k citations
100 papers · 4.8k indexed · h-index 41

Impact in

  • Immunology top 2%
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology
  • Plant Science top 0.5%
    • Chromosomal and Genetic Variations

Papers in

    • Immunotherapy and Immune Responses 16
    • T-cell and Retrovirus Studies 15
    • T-cell and B-cell Immunology 10

Hervé Perron

95 papers receiving 4.7k citations

Peers

Hervé Perron
Comparison fields: 5 of 118
  • Immunology 1.3k
  • Plant Science 2.2k
  • Biological Psychiatry 105
  • Virology 188
  • Molecular Biology 2.4k
Replace George Kassiotis with:
George Kassiotis United Kingdom
C. Conover Talbot United States
Takafumi Nakamura Japan
Richard G. Jenner United Kingdom
Georgina Miller United States
Yair Dorsett United States
Dimitris Kioussis United Kingdom
Claudia Matteucci Italy
Maarten Fornerod Netherlands
Stuart D. Cook United States
Hervé Perron relative to George Kassiotis United Kingdom George Kassiotis's profile →
Citations per field
00.5×4.7×
George Kassiotis · 1×
Citations per year

Countries citing papers authored by Hervé Perron

Since Specialization
Citations

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

Fields of papers citing papers by Hervé Perron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Hervé Perron, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Hervé Perron Line = papers co-authored together Hervé Perron links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20242
2 202319
3 20238
4 202159
5 202126
6 201953
7 20174
8 201258
9 2009107
10 200894
11 20088
12 2006219
13 200618
14 2005123
15 2001152
16 200020
17 19991
18 199957
19 199995
20 1997384

About Hervé Perron

Hervé Perron is a scholar working on Immunology, Neurology, Plant Science, Virology and Biological Psychiatry, having authored 100 papers that have together received 4.8k indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (45 papers), Viral Infections and Immunology Research (17 papers), Immunotherapy and Immune Responses (16 papers), T-cell and Retrovirus Studies (15 papers), Multiple Sclerosis Research Studies (12 papers), T-cell and B-cell Immunology (10 papers), Genomics and Phylogenetic Studies (8 papers) and Plant Virus Research Studies (8 papers). The work is most often cited by research in Immunology (1.3k citations), Plant Science (2.2k citations), Biological Psychiatry (105 citations), Virology (188 citations) and Molecular Biology (2.4k citations). Hervé Perron has collaborated with scholars based in France, Switzerland and Germany. Frequent co-authors include Patrice N. Marche, J. M. Seigneurin, Aloïs B. Lang, Bernard Mandrand, François Mallet, F. Bedin, F. Besème, Evelyne Jouvin‐Marche, Hans‐Peter Hartung and Jean-Luc Blond. Their work appears in journals such as Journal of Neuroimmunology, Acta Neurologica Scandinavica, Multiple Sclerosis Journal, Microbes and Infection and Journal of NeuroVirology.

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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