Thomas Mollet
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
- Health top 10%
- Vaccine Coverage and Hesitancy
Papers in ⓘ
-
- Viral Infections and Outbreaks Research 5
- Viral Infections and Vectors 2
-
- Data-Driven Disease Surveillance 3
- Virology and Viral Diseases 2
- Co-authors
- Nathalie Nicolay (1 shared paper)Gražina Mirinavičiūtė (1 shared paper)Sabrina Bacci (1 shared paper)Lucia Pastore Celentano (1 shared paper)Arnaud Tarantola (2 shared papers)Philippe Barboza (2 shared papers)Christophe Paquet (1 shared paper)I. Quatresous (1 shared paper)
- Journals
- Eurosurveillance (3 papers)Epidemiology and Infection (1 paper)European Journal of Public Health (1 paper)Transboundary and Emerging Diseases (1 paper)Emerging infectious diseases (1 paper)
- Partner nations
- SwedenPakistanSwitzerland
In The Last Decade
Thomas Mollet
11 papers receiving 158 citations
Peers
Comparison fields: 5 of 46
- Modeling and Simulation 46
- Health 54
- Infectious Diseases 83
- Emergency Medical Services 14
- Epidemiology 55
Countries citing papers authored by Thomas Mollet
This map shows the geographic impact of Thomas Mollet'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 Thomas Mollet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Mollet more than expected).
Fields of papers citing papers by Thomas Mollet
This network shows the impact of papers produced by Thomas Mollet. 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 Thomas Mollet. The network helps show where Thomas Mollet may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Mollet, 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 | 2016 | 45 | |
| 2 | 2020 | 35 | |
| 3 | 2022 | 20 | |
| 4 | 2019 | 15 | |
| 5 | 2008 | 15 | |
| 6 | 2009 | 13 | |
| 7 | 2016 | 10 | |
| 8 | 2016 | 6 | |
| 9 | 2021 | 2 | |
| 10 | 2025 | 1 | |
| 11 | The Communicable Diseases Threat Report now published every week on the ECDC website. | 2012 | 1 |
| 12 | 2024 | 0 |
About Thomas Mollet
Thomas Mollet is a scholar working on Infectious Diseases, Epidemiology, Public Health, Environmental and Occupational Health, Modeling and Simulation and Sociology and Political Science, having authored 12 papers that have together received 163 indexed citations. Recurring topics across this work include Viral Infections and Outbreaks Research (5 papers), COVID-19 epidemiological studies (4 papers), Misinformation and Its Impacts (3 papers), Zoonotic diseases and public health (3 papers), Data-Driven Disease Surveillance (3 papers), Virology and Viral Diseases (2 papers), Public Relations and Crisis Communication (2 papers) and Viral Infections and Vectors (2 papers). The work is most often cited by research in Modeling and Simulation (46 citations), Health (54 citations), Infectious Diseases (83 citations), Emergency Medical Services (14 citations) and Epidemiology (55 citations). Thomas Mollet has collaborated with scholars based in Sweden, Pakistan and Switzerland. Frequent co-authors include Nathalie Nicolay, Gražina Mirinavičiūtė, Sabrina Bacci, Lucia Pastore Celentano, Arnaud Tarantola, Philippe Barboza, Christophe Paquet, I. Quatresous, Tarik Derrough and Eric Bertherat. Their work appears in journals such as Eurosurveillance, Epidemiology and Infection, European Journal of Public Health, Transboundary and Emerging Diseases and Emerging infectious diseases.
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.