Constant Gillot
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
Papers in
-
- SARS-CoV-2 and COVID-19 Research 19
- SARS-CoV-2 detection and testing 12
- COVID-19 Clinical Research Studies 10
- Viral gastroenteritis research and epidemiology 2
-
- Animal Virus Infections Studies 4
- Co-authors
- Jonathan DouxfilsJulien FavresseJean‐Michel DognéMarc ElsenChristine EucherSandrine Van EeckhoudtClara DavidFrançois Mullier
- Journals
- Viruses (5 papers)Clinical Chemistry and Laboratory Medicine (CCLM) (3 papers)Vaccines (2 papers)Journal of Clinical Medicine (2 papers)Journal of Medical Virology (2 papers)
- Partner nations
- BelgiumFranceSwitzerland
In The Last Decade
Constant Gillot
23 papers receiving 471 citations
Peers
Comparison fields: 5 of 43
- Infectious Diseases 426
- Modeling and Simulation 39
- Health 45
- Animal Science and Zoology 51
- Immunology 62
Countries citing papers authored by Constant Gillot
This map shows the geographic impact of Constant Gillot'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 Constant Gillot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Constant Gillot more than expected).
Fields of papers citing papers by Constant Gillot
This network shows the impact of papers produced by Constant Gillot. 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 Constant Gillot. The network helps show where Constant Gillot may publish in the future.
Co-authors
The 25 scholars most cited alongside Constant Gillot, 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 | 2024 | 2 | |
| 2 | 2024 | 7 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 5 | |
| 5 | 2023 | 12 | |
| 6 | 2023 | 4 | |
| 7 | 2022 | 24 | |
| 8 | 2022 | 5 | |
| 9 | 2022 | 21 | |
| 10 | 2022 | 6 | |
| 11 | 2022 | 37 | |
| 12 | 2022 | 11 | |
| 13 | 2021 | 38 | |
| 14 | 2021 | 10 | |
| 15 | 2021 | 37 | |
| 16 | 2021 | 9 | |
| 17 | 2021 | 63 | |
| 18 | 2021 | 2 | |
| 19 | 2020 | 9 | |
| 20 | 2020 | 27 |
About Constant Gillot
Constant Gillot is a scholar working on Infectious Diseases, Animal Science and Zoology, Health, Immunology and Cardiology and Cardiovascular Medicine, having authored 23 papers that have together received 477 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (19 papers), SARS-CoV-2 detection and testing (12 papers), COVID-19 Clinical Research Studies (10 papers), Bacillus and Francisella bacterial research (4 papers), Animal Virus Infections Studies (4 papers), Viral Infections and Immunology Research (3 papers), Vaccine Coverage and Hesitancy (3 papers) and Viral gastroenteritis research and epidemiology (2 papers). The work is most often cited by research in Infectious Diseases (426 citations), Modeling and Simulation (39 citations), Health (45 citations), Animal Science and Zoology (51 citations) and Immunology (62 citations). Constant Gillot has collaborated with scholars based in Belgium, France and Switzerland. Frequent co-authors include Jonathan Douxfils, Julien Favresse, Jean‐Michel Dogné, Marc Elsen, Christine Eucher, Sandrine Van Eeckhoudt, Clara David, François Mullier, Laure Morimont and Jean‐Louis Bayart. Their work appears in journals such as Viruses, Clinical Chemistry and Laboratory Medicine (CCLM), Vaccines, Journal of Clinical Medicine and Journal of Medical Virology.
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.