Y Pérol

1.2k citations
88 papers · 803 · h-index 14

Impact in

    • Reproductive tract infections research
    • Parvovirus B19 Infection Studies
    • Viral gastroenteritis research and epidemiology

Papers in

    • Cytomegalovirus and herpesvirus research 23
    • Herpesvirus Infections and Treatments 8
    • Urinary Tract Infections Management 6
    • Reproductive tract infections research 13

Y Pérol

82 papers receiving 692 citations

Peers

Y Pérol
Comparison fields: 5 of 83
  • Microbiology 200
  • Microbiology 9
  • Infectious Diseases 209
  • Epidemiology 371
  • Virology 51
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Douglas P. Fine United States
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Citations per field
00.5×2×3×4.3×
Douglas P. Fine · 1×
Citations per year

Countries citing papers authored by Y Pérol

Since Specialization
Citations

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

Fields of papers citing papers by Y Pérol

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198088
2 198654
3 198253
4 198448
5 198346
6 199038
7 198737
8 198934
9 198530
10 198626
11
Detection of cytomegaloviremia using monoclonal antibodies.
198419
12 198316
13 199114
14
The enzymatic profile of Haemophilus ducreyi.
198314
15 198813
16 198913
17 198811
18 199011
19 198810
20 199210

About Y Pérol

Y Pérol is a scholar working on Epidemiology, Microbiology, Infectious Diseases, Immunology and Oncology, having authored 88 papers that have together received 803 indexed citations. Recurring topics across this work include Cytomegalovirus and herpesvirus research (23 papers), Reproductive tract infections research (13 papers), Parvovirus B19 Infection Studies (8 papers), Herpesvirus Infections and Treatments (8 papers), Urinary Tract Infections Management (6 papers), Blood groups and transfusion (6 papers), T-cell and Retrovirus Studies (5 papers) and Immunodeficiency and Autoimmune Disorders (5 papers). The work is most often cited by research in Microbiology (200 citations), Microbiology (9 citations), Infectious Diseases (209 citations), Epidemiology (371 citations) and Virology (51 citations). Y Pérol has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include F. Morinet, I Casin, F Ferchal, M.-J. Sanson-Le Pors, R. Colimon, Catherine Scieux, A Bianchi, Guillaume Arlet, Jon-Duri Tratschin and Marie‐Christine Mazeron. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Journal of Antimicrobial Chemotherapy, Sexually Transmitted Diseases, Médecine et Maladies Infectieuses and Sexually Transmitted Infections.

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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