Philippe Pérot

2.3k citations
30 papers · 593 · h-index 15

Impact in

Papers in

Philippe Pérot

30 papers receiving 584 citations

Peers

Philippe Pérot
Comparison fields: 5 of 69
  • Infectious Diseases 264
  • Animal Science and Zoology 132
  • Virology 34
  • Genetics 110
  • Microbiology 20
Replace Fabiola Villanova with:
Fabiola Villanova Brazil
Kousuke Hanada Japan
Qinfeng Huang United States
Julio García‐Cordero Mexico
Labib Bakkali‐Kassimi France
Marcílio Jorge Fumagalli Brazil
R. Ryvar United Kingdom
Gene A. Palmer United States
Matthew Peacey New Zealand
José A. Luján Henríquez United States
Philippe Pérot relative to Fabiola Villanova Brazil Fabiola Villanova's profile →
Citations per field
00.5×3.1×
Fabiola Villanova · 1×
Citations per year

Countries citing papers authored by Philippe Pérot

Since Specialization
Citations

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

Fields of papers citing papers by Philippe Pérot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Philippe Pérot, 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 Philippe Pérot Line = papers co-authored together Philippe Pérot links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201593
2 202092
3 201246
4 201645
5 201544
6 201739
7 202127
8 202127
9
Lymphoid adenohypophysitis with radiologic and clinical findings resembling a pituitary tumor.
198225
10 202320
11 201719
12 201918
13 202215
14 201315
15 202114
16 202013
17 20188
18 20245
19 20245
20 20195

About Philippe Pérot

Philippe Pérot is a scholar working on Plant Science, Infectious Diseases, Molecular Biology, Epidemiology and Genetics, having authored 30 papers that have together received 593 indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (6 papers), Genomics and Phylogenetic Studies (4 papers), Animal Virus Infections Studies (4 papers), Cervical Cancer and HPV Research (3 papers), Viral gastroenteritis research and epidemiology (3 papers), Plant Virus Research Studies (3 papers), Bacteriophages and microbial interactions (3 papers) and Virus-based gene therapy research (3 papers). The work is most often cited by research in Infectious Diseases (264 citations), Animal Science and Zoology (132 citations), Virology (34 citations), Genetics (110 citations) and Microbiology (20 citations). Philippe Pérot has collaborated with scholars based in France, United States and Romania. Frequent co-authors include Marc Éloit, Marc Lecuit, Sarah Temmam, François Mallet, Béatrice Regnault, Nathalie Mugnier, Bénédicte Neven, Stéphane Blanche, Nizar Mahlaoui and Thomas Bigot. Their work appears in journals such as Viruses, PLoS ONE, Emerging infectious diseases, Clinical Infectious Diseases and Journal of Visualized Experiments.

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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