Unité des Virus Emergents

37.8k citations
1.1k papers ·

Impact in

Papers in

Unité des Virus Emergents

960 papers receiving 34.1k citations

Peers

Unité des Virus Emergents
Comparison fields: 5 of 205
  • Infectious Diseases 21.0k
  • Public Health, Environmental and Occupational Health 16.8k
  • Parasitology 2.7k
  • Virology 1.4k
  • Modeling and Simulation 1.2k
Replace Institut de Médecine Tropicale du Service de Santé des Armées with:
Institut de Médecine Tropicale du Service de Santé des Armées France
Architecture et Fonction des Macromolécules Biologiques France
Department of Genomes & Genetics France
Centre de Recerca en Sanitat Animal Spain
FIND Switzerland
Médecins Sans Frontières Switzerland
Novartis (Italy) Italy
Risques Infectieux Tropicaux Microorganismes EmergentS France
Laboratoire National de Santé Luxembourg
Institute of Microbiology Switzerland
Unité des Virus Emergents relative to Institut de Médecine Tropicale du Service de Santé des Armées France Institut de Médecine Tropicale du Service de Santé des Armées's profile →
Citations per field
00.5×2×2.9×
Institut de Médecine Tropicale du Service de Santé des Armées · 1×
Citations per year

Countries citing scholars working at Unité des Virus Emergents

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Unité des Virus Emergents. 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 papers produced at Unité des Virus Emergents with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Unité des Virus Emergents more than expected).

Fields of papers published by authors at Unité des Virus Emergents

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Unité des Virus Emergents at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Unité des Virus Emergents at the time of their publication.

About Unité des Virus Emergents

In recent decades, authors affiliated with Unité des Virus Emergents have published 1.1k papers, which have received a total of 37.8k indexed citations . Scholars at this organization have produced 630 papers in Infectious Diseases, 472 papers in Public Health, Environmental and Occupational Health, 80 papers in Parasitology, 56 papers in Virology and 44 papers in Modeling and Simulation on the topics of Mosquito-borne diseases and control (401 papers), Viral Infections and Vectors (379 papers), Viral Infections and Outbreaks Research (101 papers), SARS-CoV-2 and COVID-19 Research (94 papers), Malaria Research and Control (92 papers), Viral gastroenteritis research and epidemiology (83 papers), Vector-Borne Animal Diseases (67 papers) and Influenza Virus Research Studies (63 papers). Their work is cited by papers focused on Infectious Diseases (21.0k citations), Public Health, Environmental and Occupational Health (16.8k citations), Parasitology (2.7k citations), Virology (1.4k citations) and Modeling and Simulation (1.2k citations). Authors at Unité des Virus Emergents collaborate with scholars in France, United Kingdom and United States and have published in prestigious journals including PLoS ONE, Antiviral Research, PLoS neglected tropical diseases, Viruses and Journal of General Virology. Some of Unité des Virus Emergents's most productive authors include Xavier Nicolas de Lamballerie, Rémi N. Charrel, Ernest Andrew Gould, Bruno Coutard, Antoine Nougaırède, Franck Touret, Bruno Canard, Étienne Decroly, Didier Raoult and Philippe de Micco.

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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