Constant Gillot
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 detection and testing
- COVID-19 Clinical Research Studies
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
Papers in
-
- SARS-CoV-2 and COVID-19 Research 18
- SARS-CoV-2 detection and testing 11
- COVID-19 Clinical Research Studies 9
-
- Bacillus and Francisella bacterial research 2
- Co-authors
- Julien Favresse (23 shared papers)Jonathan Douxfils (23 shared papers)Jean‐Michel Dogné (16 shared papers)Marc Elsen (9 shared papers)Christine Eucher (7 shared papers)Sandrine Van Eeckhoudt (5 shared papers)Clara David (9 shared papers)François Mullier (4 shared papers)
- Journals
- Viruses (5 papers)Clinical Chemistry and Laboratory Medicine (CCLM) (3 papers)Vaccines (2 papers)Journal of Medical Virology (2 papers)Journal of Clinical Medicine (2 papers)
- Partner nations
- BelgiumFranceSwitzerland
In The Last Decade
Constant Gillot
23 papers receiving 481 citations
Peers
Comparison fields: 5 of 39
- Infectious Diseases 405
- Modeling and Simulation 27
- Animal Science and Zoology 33
- Health 23
- Immunology 55
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
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 85 | |
| 2 | 2021 | 65 | |
| 3 | 2021 | 59 | |
| 4 | 2021 | 38 | |
| 5 | 2022 | 37 | |
| 6 | 2021 | 37 | |
| 7 | 2020 | 27 | |
| 8 | 2022 | 26 | |
| 9 | 2022 | 22 | |
| 10 | 2023 | 16 | |
| 11 | 2022 | 12 | |
| 12 | 2021 | 10 | |
| 13 | 2021 | 9 | |
| 14 | 2020 | 9 | |
| 15 | 2024 | 7 | |
| 16 | 2022 | 6 | |
| 17 | 2024 | 5 | |
| 18 | 2022 | 5 | |
| 19 | 2023 | 4 | |
| 20 | 2023 | 3 |
About Constant Gillot
Constant Gillot is a scholar working on Infectious Diseases, Molecular Biology, Animal Science and Zoology, Immunology and Health, having authored 23 papers that have together received 487 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (18 papers), SARS-CoV-2 detection and testing (11 papers), COVID-19 Clinical Research Studies (9 papers), Animal Virus Infections Studies (4 papers), Vaccine Coverage and Hesitancy (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers), Biosensors and Analytical Detection (2 papers) and Bacillus and Francisella bacterial research (2 papers). The work is most often cited by research in Infectious Diseases (405 citations), Modeling and Simulation (27 citations), Animal Science and Zoology (33 citations), Health (23 citations) and Immunology (55 citations). Constant Gillot has collaborated with scholars based in Belgium, France and Switzerland. Frequent co-authors include Julien Favresse, Jonathan Douxfils, Jean‐Michel Dogné, Marc Elsen, Christine Eucher, Sandrine Van Eeckhoudt, Clara David, François Mullier, Jean‐Louis Bayart and Laure Morimont. Their work appears in journals such as Viruses, Clinical Chemistry and Laboratory Medicine (CCLM), Vaccines, Journal of Medical Virology and Journal of Clinical Medicine.
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.