Frédéric Debellut
Impact in
- Hepatology top 5%
- Hepatitis Viruses Studies and Epidemiology
- Infectious Diseases top 5%
- Viral gastroenteritis research and epidemiology
Papers in
-
- Viral gastroenteritis research and epidemiology 24
- Hepatology 14
- Hepatitis Viruses Studies and Epidemiology 14
- Co-authors
- Clint Pecenka (27 shared papers)Andrew Clark (17 shared papers)Ranju Baral (4 shared papers)Justice Nonvignon (4 shared papers)Jacqueline E. Tate (4 shared papers)Naor Bar‐Zeev (6 shared papers)Colin Sanderson (3 shared papers)Palwasha Anwari (4 shared papers)
- Journals
- Vaccine (10 papers)PLoS ONE (4 papers)Clinical Infectious Diseases (2 papers)Vaccine X (2 papers)The Lancet Global Health (2 papers)
- Partner nations
- United StatesUnited KingdomMalawi
In The Last Decade
Frédéric Debellut
30 papers receiving 396 citations
Peers
Comparison fields: 5 of 72
- Hepatology 133
- Infectious Diseases 275
- Health 69
- Endocrinology 33
- Modeling and Simulation 22
Countries citing papers authored by Frédéric Debellut
This map shows the geographic impact of Frédéric Debellut'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 Frédéric Debellut with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frédéric Debellut more than expected).
Fields of papers citing papers by Frédéric Debellut
This network shows the impact of papers produced by Frédéric Debellut. 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 Frédéric Debellut. The network helps show where Frédéric Debellut may publish in the future.
Co-authors
The 25 scholars most cited alongside Frédéric Debellut, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 49 | |
| 2 | 2020 | 42 | |
| 3 | 2018 | 30 | |
| 4 | 2023 | 26 | |
| 5 | 2012 | 24 | |
| 6 | 2020 | 19 | |
| 7 | 2021 | 18 | |
| 8 | 2019 | 17 | |
| 9 | 2021 | 16 | |
| 10 | 2019 | 16 | |
| 11 | 2022 | 16 | |
| 12 | 2017 | 15 | |
| 13 | 2018 | 13 | |
| 14 | 2023 | 12 | |
| 15 | 2019 | 11 | |
| 16 | 2019 | 11 | |
| 17 | 2020 | 10 | |
| 18 | 2019 | 8 | |
| 19 | 2022 | 7 | |
| 20 | 2018 | 7 |
About Frédéric Debellut
Frédéric Debellut is a scholar working on Infectious Diseases, Hepatology, Food Science, Health and Epidemiology, having authored 32 papers that have together received 404 indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (24 papers), Hepatitis Viruses Studies and Epidemiology (14 papers), Salmonella and Campylobacter epidemiology (8 papers), Vaccine Coverage and Hesitancy (7 papers), Vibrio bacteria research studies (5 papers), Child Nutrition and Water Access (5 papers), Cervical Cancer and HPV Research (4 papers) and Viral Infections and Immunology Research (4 papers). The work is most often cited by research in Hepatology (133 citations), Infectious Diseases (275 citations), Health (69 citations), Endocrinology (33 citations) and Modeling and Simulation (22 citations). Frédéric Debellut has collaborated with scholars based in United States, United Kingdom and Malawi. Frequent co-authors include Clint Pecenka, Andrew Clark, Ranju Baral, Justice Nonvignon, Jacqueline E. Tate, Naor Bar‐Zeev, Colin Sanderson, Palwasha Anwari, Umesh D. Parashar and Samuel Agyei Agyemang. Their work appears in journals such as Vaccine, PLoS ONE, Clinical Infectious Diseases, Vaccine X and The Lancet Global Health.
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.