Etienne Gignoux
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
- Hepatology top 10%
- Hepatitis Viruses Studies and Epidemiology
Papers in
-
- Viral Infections and Outbreaks Research 4
- COVID-19 Clinical Research Studies 3
- SARS-CoV-2 and COVID-19 Research 3
-
- Virology and Viral Diseases 3
- Co-authors
- Francisco J. Luquero (9 shared papers)Tanja Ducomble (1 shared paper)Iza Ciglenečki (12 shared papers)Isabelle Bolon (4 shared papers)François Chappuis (4 shared papers)Anton Camacho (3 shared papers)Anup Ghimire (4 shared papers)Amanda Tiffany (3 shared papers)
- Journals
- The Lancet Infectious Diseases (4 papers)PLoS ONE (3 papers)PLoS neglected tropical diseases (3 papers)The Lancet Global Health (2 papers)Journal of Hepatology (1 paper)
- Partner nations
- SwitzerlandFranceUnited States
In The Last Decade
Etienne Gignoux
23 papers receiving 293 citations
Peers
Comparison fields: 5 of 56
- Modeling and Simulation 55
- Hepatology 45
- Infectious Diseases 97
- Virology 23
- Health 23
Countries citing papers authored by Etienne Gignoux
This map shows the geographic impact of Etienne Gignoux'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 Etienne Gignoux with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Etienne Gignoux more than expected).
Fields of papers citing papers by Etienne Gignoux
This network shows the impact of papers produced by Etienne Gignoux. 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 Etienne Gignoux. The network helps show where Etienne Gignoux may publish in the future.
Co-authors
The 25 scholars most cited alongside Etienne Gignoux, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 59 | |
| 2 | 2022 | 29 | |
| 3 | 2017 | 25 | |
| 4 | 2021 | 24 | |
| 5 | 2016 | 24 | |
| 6 | 2022 | 20 | |
| 7 | 2024 | 19 | |
| 8 | 2020 | 18 | |
| 9 | 2024 | 17 | |
| 10 | 2024 | 11 | |
| 11 | 2018 | 10 | |
| 12 | 2021 | 9 | |
| 13 | 2018 | 9 | |
| 14 | 2025 | 6 | |
| 15 | 2024 | 6 | |
| 16 | 2019 | 5 | |
| 17 | 2020 | 4 | |
| 18 | 2022 | 3 | |
| 19 | 2019 | 2 | |
| 20 | 2021 | 2 |
About Etienne Gignoux
Etienne Gignoux is a scholar working on Infectious Diseases, Epidemiology, Modeling and Simulation, Hepatology and Health, having authored 26 papers that have together received 305 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (6 papers), Hepatitis Viruses Studies and Epidemiology (5 papers), Viral Infections and Outbreaks Research (4 papers), Venomous Animal Envenomation and Studies (4 papers), Vaccine Coverage and Hesitancy (3 papers), Virology and Viral Diseases (3 papers), COVID-19 Clinical Research Studies (3 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). The work is most often cited by research in Modeling and Simulation (55 citations), Hepatology (45 citations), Infectious Diseases (97 citations), Virology (23 citations) and Health (23 citations). Etienne Gignoux has collaborated with scholars based in Switzerland, France and United States. Frequent co-authors include Francisco J. Luquero, Tanja Ducomble, Iza Ciglenečki, Isabelle Bolon, François Chappuis, Anton Camacho, Anup Ghimire, Amanda Tiffany, Sara Babo Martins and Gabriel Alcoba. Their work appears in journals such as The Lancet Infectious Diseases, PLoS ONE, PLoS neglected tropical diseases, The Lancet Global Health and Journal of Hepatology.
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.