Gaëlle Simon

4.1k citations
99 papers · 2.4k indexed · h-index 29

Impact in

Papers in

Gaëlle Simon

94 papers receiving 2.3k citations

Peers

Gaëlle Simon
Comparison fields: 5 of 131
  • Agronomy and Crop Science 800
  • Animal Science and Zoology 639
  • Microbiology 302
  • Infectious Diseases 853
  • Epidemiology 895
Replace Chunfeng Wang with:
Chunfeng Wang China
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Massimo Amadori Italy
Ian R. Tizard United States
Aizhen Guo China
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Qian Yang China
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Citations per field
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Citations per year

Countries citing papers authored by Gaëlle Simon

Since Specialization
Citations

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

Fields of papers citing papers by Gaëlle Simon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20242
3 20242
4 20243
5 20240
6 20218
7 202012
8 202015
9 201931
10 201811
11 20184
12 201823
13 2016144
14 201564
15 20156
16 201318
17 20101
18 201037
19
Antiretroviral therapy-induced changes in lipoprotein subclass phenotype: comparison of protease inhibitor and non-nucleoside reverse transcriptase inhibitor regimens
20025
20
Modulation of thymosin alpha 1 and thymosin beta 4 levels and peripheral blood mononuclear cell subsets during experimental rhinovirus colds.
198915

About Gaëlle Simon

Gaëlle Simon is a scholar working on Agronomy and Crop Science, Microbiology, Infectious Diseases, Animal Science and Zoology and Epidemiology, having authored 99 papers that have together received 2.4k indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (37 papers), Influenza Virus Research Studies (36 papers), Viral gastroenteritis research and epidemiology (25 papers), Animal Virus Infections Studies (17 papers), Respiratory viral infections research (13 papers), Virus-based gene therapy research (10 papers), Microbial infections and disease research (10 papers) and Antifungal resistance and susceptibility (4 papers). The work is most often cited by research in Agronomy and Crop Science (800 citations), Animal Science and Zoology (639 citations), Microbiology (302 citations), Infectious Diseases (853 citations) and Epidemiology (895 citations). Gaëlle Simon has collaborated with scholars based in France, Canada and Germany. Frequent co-authors include Stéphane Gorin, Nicolas Rose, G. Obert, Céline Deblanc, C. Fablet, Stéphane Quéguiner, Severine Hervé, Agnès Jamin, Corinne Marois‐Créhan and Marie‐Frédérique Le Potier. Their work appears in journals such as Veterinary Microbiology, Veterinary Research, Journal of General Virology, Viruses and Emerging infectious diseases.

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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