Emmanuelle Münger
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
- Infectious Diseases top 10%
- Viral Infections and Vectors
- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 detection and testing
Papers in
-
- Viral Infections and Vectors 5
-
- Mosquito-borne diseases and control 5
- Co-authors
- Marion Koopmans (6 shared papers)Bas B. Oude Munnink (6 shared papers)Henk P. van der Jeugd (5 shared papers)Augusto J. Montiel-Castro (1 shared paper)Wolfgang Langhans (1 shared paper)Gustavo Pacheco‐López (1 shared paper)Anne van der Linden (3 shared papers)Claire Jacob (2 shared papers)
- Journals
- Nature Communications (1 paper)One Health (1 paper)Parasites & Vectors (1 paper)Nature Ecology & Evolution (1 paper)PLoS Biology (1 paper)
- Partner nations
- NetherlandsSwitzerlandItaly
In The Last Decade
Emmanuelle Münger
8 papers receiving 394 citations
Peers
Comparison fields: 5 of 81
- Modeling and Simulation 41
- Infectious Diseases 155
- Developmental Neuroscience 33
- Public Health, Environmental and Occupational Health 111
- Cellular and Molecular Neuroscience 75
Countries citing papers authored by Emmanuelle Münger
This map shows the geographic impact of Emmanuelle Münger'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 Emmanuelle Münger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emmanuelle Münger more than expected).
Fields of papers citing papers by Emmanuelle Münger
This network shows the impact of papers produced by Emmanuelle Münger. 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 Emmanuelle Münger. The network helps show where Emmanuelle Münger may publish in the future.
Co-authors
The 25 scholars most cited alongside Emmanuelle Münger, 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 | 2020 | 177 | |
| 2 | 2017 | 71 | |
| 3 | 2018 | 61 | |
| 4 | 2020 | 47 | |
| 5 | 2015 | 30 | |
| 6 | 2024 | 8 | |
| 7 | 2022 | 7 | |
| 8 | 2024 | 3 | |
| 9 | 2025 | 0 | |
| 10 | 2026 | 0 |
About Emmanuelle Münger
Emmanuelle Münger is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health, Molecular Biology, Parasitology and Cellular and Molecular Neuroscience, having authored 10 papers that have together received 404 indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (5 papers), Viral Infections and Vectors (5 papers), Vector-borne infectious diseases (3 papers), Nerve injury and regeneration (2 papers), Insect symbiosis and bacterial influences (2 papers), Neurogenesis and neuroplasticity mechanisms (1 paper), Virology and Viral Diseases (1 paper) and Histone Deacetylase Inhibitors Research (1 paper). The work is most often cited by research in Modeling and Simulation (41 citations), Infectious Diseases (155 citations), Developmental Neuroscience (33 citations), Public Health, Environmental and Occupational Health (111 citations) and Cellular and Molecular Neuroscience (75 citations). Emmanuelle Münger has collaborated with scholars based in Netherlands, Switzerland and Italy. Frequent co-authors include Marion Koopmans, Bas B. Oude Munnink, Henk P. van der Jeugd, Augusto J. Montiel-Castro, Wolfgang Langhans, Gustavo Pacheco‐López, Anne van der Linden, Claire Jacob, Sophie Ruff and Valérie Brügger‐Verdon. Their work appears in journals such as Nature Communications, One Health, Parasites & Vectors, Nature Ecology & Evolution and PLoS Biology.
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.