Peter Czuppon
Impact in
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
-
- Evolution and Genetic Dynamics
- Genetic diversity and population structure
Papers in
- Genetics 13
- Evolution and Genetic Dynamics 8
- Genetic diversity and population structure 3
-
- Plant and animal studies 4
- Co-authors
- François Blanquart (7 shared papers)Florence Débarre (5 shared papers)Peter Pfaffelhuber (3 shared papers)Alan S. Perelson (1 shared paper)Chaitanya S. Gokhale (2 shared papers)Olivier Tenaillon (1 shared paper)Tim Connallon (4 shared papers)Jérémie Guedj (1 shared paper)
- Journals
- PLoS Computational Biology (3 papers)Journal of Evolutionary Biology (2 papers)Genetics (2 papers)The American Naturalist (2 papers)Journal of Mathematical Biology (2 papers)
- Partner nations
- GermanyFranceUnited States
In The Last Decade
Peter Czuppon
21 papers receiving 189 citations
Peers
Comparison fields: 5 of 51
- Modeling and Simulation 31
- Genetics 87
- Ecology, Evolution, Behavior and Systematics 37
- Infectious Diseases 31
- Biophysics 6
Countries citing papers authored by Peter Czuppon
This map shows the geographic impact of Peter Czuppon'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 Peter Czuppon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Czuppon more than expected).
Fields of papers citing papers by Peter Czuppon
This network shows the impact of papers produced by Peter Czuppon. 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 Peter Czuppon. The network helps show where Peter Czuppon may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Czuppon, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 38 | |
| 2 | 2021 | 33 | |
| 3 | 2015 | 23 | |
| 4 | 2018 | 11 | |
| 5 | 2020 | 9 | |
| 6 | 2018 | 9 | |
| 7 | 2023 | 9 | |
| 8 | 2021 | 9 | |
| 9 | 2019 | 8 | |
| 10 | 2023 | 8 | |
| 11 | 2022 | 7 | |
| 12 | 2024 | 5 | |
| 13 | 2019 | 5 | |
| 14 | 2016 | 4 | |
| 15 | 2022 | 4 | |
| 16 | 2024 | 2 | |
| 17 | 2025 | 2 | |
| 18 | 2026 | 2 | |
| 19 | 2025 | 1 | |
| 20 | 2025 | 1 |
About Peter Czuppon
Peter Czuppon is a scholar working on Genetics, Ecology, Evolution, Behavior and Systematics, Molecular Biology, Modeling and Simulation and Infectious Diseases, having authored 22 papers that have together received 191 indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (8 papers), COVID-19 epidemiological studies (5 papers), Plant and animal studies (4 papers), Mathematical and Theoretical Epidemiology and Ecology Models (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Evolutionary Game Theory and Cooperation (3 papers), Genetic diversity and population structure (3 papers) and Plant Reproductive Biology (2 papers). The work is most often cited by research in Modeling and Simulation (31 citations), Genetics (87 citations), Ecology, Evolution, Behavior and Systematics (37 citations), Infectious Diseases (31 citations) and Biophysics (6 citations). Peter Czuppon has collaborated with scholars based in Germany, France and United States. Frequent co-authors include François Blanquart, Florence Débarre, Peter Pfaffelhuber, Alan S. Perelson, Chaitanya S. Gokhale, Olivier Tenaillon, Tim Connallon, Jérémie Guedj, António Gonçalves and George W. A. Constable. Their work appears in journals such as PLoS Computational Biology, Journal of Evolutionary Biology, Genetics, The American Naturalist and Journal of Mathematical 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.