Franck Biet
Impact in
- Infectious Diseases top 1%
- Tuberculosis Research and Epidemiology
- Small Animals top 0.5%
- Infectious Diseases and Mycology
Papers in
-
- Tuberculosis Research and Epidemiology 34
- Epidemiology 61
- Mycobacterium research and diagnosis 58
- Co-authors
- María Laura BoschiroliCamille LochtLaurent KremerLaurence L.A. GuilloteauFranco D. MenozziVirginie ThibaultKévin PetheSylvie Alonso
- Journals
- Frontiers in Microbiology (5 papers)Infection and Immunity (4 papers)Infection Genetics and Evolution (4 papers)Journal of Clinical Microbiology (4 papers)PLoS ONE (4 papers)
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
Franck Biet
77 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 86
- Infectious Diseases 1.3k
- Small Animals 441
- Epidemiology 1.7k
- Endocrinology 201
- Microbiology 188
Countries citing papers authored by Franck Biet
This map shows the geographic impact of Franck Biet'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 Franck Biet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Franck Biet more than expected).
Fields of papers citing papers by Franck Biet
This network shows the impact of papers produced by Franck Biet. 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 Franck Biet. The network helps show where Franck Biet may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Franck Biet, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 4 | |
| 5 | 2023 | 1 | |
| 6 | 2022 | 4 | |
| 7 | 2021 | 5 | |
| 8 | 2020 | 21 | |
| 9 | 2019 | 12 | |
| 10 | 2019 | 12 | |
| 11 | 2017 | 27 | |
| 12 | Immunological analysis of 35 recombinant antigens of M. avium subsp paratuberculosis in mice and cattle | 2016 | 1 |
| 13 | 2016 | 9 | |
| 14 | 2015 | 11 | |
| 15 | 2013 | 0 | |
| 16 | 2011 | 16 | |
| 17 | 2011 | 10 | |
| 18 | 2010 | 18 | |
| 19 | 2005 | 18 | |
| 20 | 2002 | 52 |
About Franck Biet
Franck Biet is a scholar working on Infectious Diseases, Epidemiology, Microbiology, Small Animals and Endocrinology, having authored 79 papers that have together received 2.6k indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (58 papers), Tuberculosis Research and Epidemiology (34 papers), Ginseng Biological Effects and Applications (16 papers), Genomics and Phylogenetic Studies (10 papers), Pharmacological Effects of Natural Compounds (9 papers), Infectious Diseases and Mycology (8 papers), Immunodeficiency and Autoimmune Disorders (6 papers) and Plant Pathogenic Bacteria Studies (6 papers). The work is most often cited by research in Infectious Diseases (1.3k citations), Small Animals (441 citations), Epidemiology (1.7k citations), Endocrinology (201 citations) and Microbiology (188 citations). Franck Biet has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include María Laura Boschiroli, Camille Locht, Laurent Kremer, Laurence L.A. Guilloteau, Franco D. Menozzi, Virginie Thibault, Kévin Pethe, Sylvie Alonso, Giovanni Delogu and Michael J. Brennan. Their work appears in journals such as Frontiers in Microbiology, Infection and Immunity, Infection Genetics and Evolution, Journal of Clinical Microbiology and PLoS ONE.
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.