Alan Bénard
Impact in
- Immunology top 10%
- Immune cells in cancer
- Immune Cell Function and Interaction
- Immune Response and Inflammation
- Microbiology top 10%
- Microbial infections and disease research
Papers in ⓘ
- Immunology 13
- Immune cells in cancer 5
- Immune Cell Function and Interaction 4
- Immunotherapy and Immune Responses 4
- Immune Response and Inflammation 4
- Epidemiology 10
- Microscopic Colitis 2
- Mycobacterium research and diagnosis 2
- Co-authors
- Olivier Neyrolles (6 shared papers)Geanncarlo Lugo‐Villarino (4 shared papers)B. Wallaert (3 shared papers)Denis Hudrisier (4 shared papers)Marı́a del Carmen Sasiain (4 shared papers)Cécile Bébéar (2 shared papers)Sabine Pereyre (2 shared papers)Robert Grützmann (10 shared papers)
In The Last Decade
Alan Bénard
26 papers receiving 753 citations
Peers
Comparison fields: 5 of 91
- Immunology 284
- Microbiology 62
- Infectious Diseases 173
- Immunology and Allergy 40
- Epidemiology 198
Countries citing papers authored by Alan Bénard
This map shows the geographic impact of Alan Bénard'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 Alan Bénard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alan Bénard more than expected).
Fields of papers citing papers by Alan Bénard
This network shows the impact of papers produced by Alan Bénard. 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 Alan Bénard. The network helps show where Alan Bénard may publish in the future.
Co-authors
The 25 scholars most cited alongside Alan Bénard, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 91 | |
| 2 | 1995 | 89 | |
| 3 | 2006 | 86 | |
| 4 | 2017 | 69 | |
| 5 | 2018 | 52 | |
| 6 | 2010 | 48 | |
| 7 | 1996 | 43 | |
| 8 | 2013 | 36 | |
| 9 | 2008 | 33 | |
| 10 | 2015 | 28 | |
| 11 | 2009 | 28 | |
| 12 | 2019 | 26 | |
| 13 | 2022 | 20 | |
| 14 | 2020 | 19 | |
| 15 | 2010 | 17 | |
| 16 | 2023 | 16 | |
| 17 | 2024 | 11 | |
| 18 | 2020 | 10 | |
| 19 | 2023 | 10 | |
| 20 | [Drug-induced pleurisy]. | 1996 | 9 |
About Alan Bénard
Alan Bénard is a scholar working on Immunology, Epidemiology, Infectious Diseases, Oncology and Pulmonary and Respiratory Medicine, having authored 27 papers that have together received 773 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (5 papers), Immune cells in cancer (5 papers), Immune Cell Function and Interaction (4 papers), Immunotherapy and Immune Responses (4 papers), Immune Response and Inflammation (4 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 papers), Microscopic Colitis (2 papers) and Mycobacterium research and diagnosis (2 papers). The work is most often cited by research in Immunology (284 citations), Microbiology (62 citations), Infectious Diseases (173 citations), Immunology and Allergy (40 citations) and Epidemiology (198 citations). Alan Bénard has collaborated with scholars based in Germany, France and Argentina. Frequent co-authors include Olivier Neyrolles, Geanncarlo Lugo‐Villarino, B. Wallaert, Denis Hudrisier, Marı́a del Carmen Sasiain, Cécile Bébéar, Sabine Pereyre, Robert Grützmann, Georg F. Weber and M.C. Copin. Their work appears in journals such as Frontiers in Immunology, International Journal of Molecular Sciences, European Respiratory Journal, Cancers and Molecular and Cellular Biology.
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.