Hervé Perron

7.1k citations
100 papers · 4.8k · 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

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-authors

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

Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997384
2 1999295
3
An electron microscopy study into the mechanism of gene transfer with lipopolyamines.
1996245
4 2006219
5 2018213
6 2001152
7 2013135
8 1989132
9 2005123
10 2009107
11 201397
12 199995
13 200894
14 199293
15 200691
16 201986
17 201580
18 201672
19 201471
20 200869

About Hervé Perron

Hervé Perron is a scholar working on Molecular Biology, Plant Science, Immunology, Cardiology and Cardiovascular Medicine and Pathology and Forensic Medicine, 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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