Raphaël M. Zellweger
- Public Health, Environmental and Occupational Health top 1%
- Infectious Diseases top 1%
- Immunology top 10%
- Epidemiology top 10%
- Virology top 5%
- Co-authors
- Sujan ShrestaTyler R. PrestwoodLauren E. YauchBjoern PetersAlessandro SetteWilliam E. EddyMalika M. MorarJohn Sidney
- Topics
- Mosquito-borne diseases and control (12 papers)Viral Infections and Vectors (10 papers)Viral Infections and Outbreaks Research (6 papers)
- Journals
- Proceedings of the National Academy of SciencesNature MedicineThe Journal of Experimental Medicine
- Partner nations
- United StatesSwitzerlandUnited Kingdom
In The Last Decade
Raphaël M. Zellweger
33 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 88
- Public Health, Environmental and Occupational Health 1.2k
- Infectious Diseases 1.1k
- Immunology 313
- Epidemiology 256
- Virology 142
Countries citing papers authored by Raphaël M. Zellweger
This map shows the geographic impact of Raphaël M. Zellweger'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 Raphaël M. Zellweger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raphaël M. Zellweger more than expected).
Fields of papers citing papers by Raphaël M. Zellweger
This network shows the impact of papers produced by Raphaël M. Zellweger. 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 Raphaël M. Zellweger. The network helps show where Raphaël M. Zellweger may publish in the future.
Co-authorship network of co-authors of Raphaël M. Zellweger
This figure shows the co-authorship network connecting the top 25 collaborators of Raphaël M. Zellweger. A scholar is included among the top collaborators of Raphaël M. Zellweger based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Raphaël M. Zellweger. Raphaël M. Zellweger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 5 | |
| 3 | 1 | |
| 4 | 31 | |
| 5 | 5 | |
| 6 | 13 | |
| 7 | 30 | |
| 8 | 5 | |
| 9 | 19 | |
| 10 | 37 | |
| 11 | 78 | |
| 12 | 73 | |
| 13 | 89 | |
| 14 | 282 | |
| 15 | 280 | |
| 16 | 103 | |
| 17 | 27 | |
| 18 | 43 | |
| 19 | 12 | |
| 20 | 11 |
About Raphaël M. Zellweger
Raphaël M. Zellweger is a scholar working on Applied Microbiology and Biotechnology, Infectious Diseases and Modeling and Simulation, having authored 34 papers that have together received 1.8k indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (12 papers), Viral Infections and Vectors (10 papers) and Viral Infections and Outbreaks Research (6 papers). The work is most often cited by research in Infectious Diseases (1.1k citations), Public Health, Environmental and Occupational Health (1.2k citations) and Virology (142 citations). Raphaël M. Zellweger has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Sujan Shresta, Tyler R. Prestwood, Lauren E. Yauch, Bjoern Peters, Alessandro Sette, William E. Eddy, Malika M. Morar, John Sidney, Maya F. Kotturi and William W. Tang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Medicine and The Journal of Experimental 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.