Gerardo Chowell
Impact in
- Modeling and Simulation top 0.01%
- COVID-19 epidemiological studies
- Infectious Diseases top 0.1%
- SARS-CoV-2 and COVID-19 Research
- Viral Infections and Outbreaks Research
- Viral Infections and Vectors
- COVID-19 Clinical Research Studies
Papers in
-
- COVID-19 epidemiological studies 210
-
- Viral Infections and Outbreaks Research 61
- Viral Infections and Vectors 37
- SARS-CoV-2 and COVID-19 Research 26
- Co-authors
- Kenji MizumotoCécile ViboudHiroshi NishiuraJames M. HymanCarlos Castillo‐ChávezKatsushi KagayaAlexander E. ZarebskiLone Simonsen
- Journals
- BMC Infectious Diseases (16 papers)PLoS ONE (14 papers)Journal of Theoretical Biology (13 papers)Mathematical Biosciences & Engineering (12 papers)International Journal of Infectious Diseases (11 papers)
- Partner nations
- United StatesJapanMexico
In The Last Decade
Gerardo Chowell
282 papers receiving 14.7k citations
Hit Papers
Peers
Comparison fields: 5 of 195
- Modeling and Simulation 8.6k
- Infectious Diseases 5.8k
- Epidemiology 4.3k
- Public Health, Environmental and Occupational Health 3.4k
- Health 861
Countries citing papers authored by Gerardo Chowell
This map shows the geographic impact of Gerardo Chowell'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 Gerardo Chowell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerardo Chowell more than expected).
Fields of papers citing papers by Gerardo Chowell
This network shows the impact of papers produced by Gerardo Chowell. 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 Gerardo Chowell. The network helps show where Gerardo Chowell may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gerardo Chowell, 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 5 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 3 | |
| 8 | 2022 | 5 | |
| 9 | 2022 | 14 | |
| 10 | 2021 | 145 | |
| 11 | 2021 | 16 | |
| 12 | 2021 | 17 | |
| 13 | 2021 | 4 | |
| 14 | 2021 | 73 | |
| 15 | 2021 | 98 | |
| 16 | 2020 | 11 | |
| 17 | 2019 | 4 | |
| 18 | 2018 | 75 | |
| 19 | 2018 | 16 | |
| 20 | 2011 | 29 |
About Gerardo Chowell
Gerardo Chowell is a scholar working on Modeling and Simulation, Infectious Diseases, Epidemiology, Public Health, Environmental and Occupational Health and Health, having authored 297 papers that have together received 15.2k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (210 papers), Influenza Virus Research Studies (94 papers), Viral Infections and Outbreaks Research (61 papers), Viral Infections and Vectors (37 papers), COVID-19 Pandemic Impacts (28 papers), Zoonotic diseases and public health (26 papers), SARS-CoV-2 and COVID-19 Research (26 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (24 papers). The work is most often cited by research in Modeling and Simulation (8.6k citations), Infectious Diseases (5.8k citations), Epidemiology (4.3k citations), Public Health, Environmental and Occupational Health (3.4k citations) and Health (861 citations). Gerardo Chowell has collaborated with scholars based in United States, Japan and Mexico. Frequent co-authors include Kenji Mizumoto, Cécile Viboud, Hiroshi Nishiura, James M. Hyman, Carlos Castillo‐Chávez, Katsushi Kagaya, Alexander E. Zarebski, Lone Simonsen, Amna Tariq and Mark A. Miller. Their work appears in journals such as BMC Infectious Diseases, PLoS ONE, Journal of Theoretical Biology, Mathematical Biosciences & Engineering and International Journal of 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.