Infectious Disease Models and Innovative Therapies
Impact in
- Virology top 5%
- HIV Research and Treatment
-
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
Papers in
- Virology 140
- HIV Research and Treatment 137
- Immunology 149
- Immune Cell Function and Interaction 59
- T-cell and B-cell Immunology 53
- Immunotherapy and Immune Responses 41
- Top scholars
- Roger Le GrandPierre RoquesOlivier LambotteXavier MariettePhilippe LeboulchGabriel GrasNathalie Rouas‐FreissBenoı̂t Favier
- Journals
- Frontiers in Immunology (34 papers)PLoS ONE (25 papers)Journal of Virology (18 papers)Scientific Reports (15 papers)Annals of the Rheumatic Diseases (11 papers)
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
Infectious Disease Models and Innovative Therapies
585 papers receiving 17.0k citations
Peers
Comparison fields: 5 of 188
- Virology 2.7k
- Immunology 4.3k
- Infectious Diseases 3.4k
- Public Health, Environmental and Occupational Health 3.3k
- Genetics 1.1k
Countries citing scholars working at Infectious Disease Models and Innovative Therapies
This map shows the geographic impact of research produced by authors working at Infectious Disease Models and Innovative Therapies. 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 Infectious Disease Models and Innovative Therapies with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Infectious Disease Models and Innovative Therapies more than expected).
Fields of papers published by authors at Infectious Disease Models and Innovative Therapies
This network shows the impact of papers affiliated with Infectious Disease Models and Innovative Therapies 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 Infectious Disease Models and Innovative Therapies at the time of their publication.
About Infectious Disease Models and Innovative Therapies
In recent decades, authors affiliated with Infectious Disease Models and Innovative Therapies have published 653 papers, which have received a total of 18.4k indexed citations . Scholars at this organization have produced 140 papers in Virology, 149 papers in Immunology, 103 papers in Infectious Diseases, 30 papers in Ophthalmology and 91 papers in Public Health, Environmental and Occupational Health on the topics of HIV Research and Treatment (137 papers), Immune Cell Function and Interaction (59 papers), T-cell and B-cell Immunology (53 papers), Mosquito-borne diseases and control (45 papers), Immunotherapy and Immune Responses (41 papers), Malaria Research and Control (34 papers), Herpesvirus Infections and Treatments (28 papers) and Prion Diseases and Protein Misfolding (24 papers). Their work is cited by papers focused on Virology (2.7k citations), Immunology (4.3k citations), Infectious Diseases (3.4k citations), Public Health, Environmental and Occupational Health (3.3k citations) and Genetics (1.1k citations). Authors at Infectious Disease Models and Innovative Therapies collaborate with scholars in France, United States and United Kingdom and have published in prestigious journals including Frontiers in Immunology, PLoS ONE, Journal of Virology, Scientific Reports and Annals of the Rheumatic Diseases. Some of Infectious Disease Models and Innovative Therapies's most productive authors include Roger Le Grand, Pierre Roques, Olivier Lambotte, Xavier Mariette, Philippe Leboulch, Gabriel Gras, Nathalie Rouas‐Freiss, Benoı̂t Favier, Nathalie Dereuddre‐Bosquet and Edgardo D. Carosella.
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.