Jason Asher
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
- Virology top 10%
- Poxvirus research and outbreaks
Papers in
- Epidemiology 10
- Influenza Virus Research Studies 7
- Respiratory viral infections research 5
-
- Viral Infections and Outbreaks Research 3
- SARS-CoV-2 and COVID-19 Research 2
- Co-authors
- Sean N. Tucker (1 shared paper)Shaily Garg (1 shared paper)David R. McIlwain (1 shared paper)Keith Gottlieb (1 shared paper)Kenneth H. Kim (1 shared paper)David Liebowitz (1 shared paper)Nikita Kolhatkar (1 shared paper)James C. King (2 shared papers)
- Journals
- Epidemics (2 papers)Emerging infectious diseases (2 papers)Clinical Infectious Diseases (1 paper)PLoS Computational Biology (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Jason Asher
15 papers receiving 335 citations
Peers
Comparison fields: 5 of 67
- Modeling and Simulation 93
- Virology 47
- Infectious Diseases 132
- Epidemiology 173
- Health 32
Countries citing papers authored by Jason Asher
This map shows the geographic impact of Jason Asher'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 Jason Asher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jason Asher more than expected).
Fields of papers citing papers by Jason Asher
This network shows the impact of papers produced by Jason Asher. 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 Jason Asher. The network helps show where Jason Asher may publish in the future.
Co-authors
The 25 scholars most cited alongside Jason Asher, 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 | 87 | |
| 2 | 2019 | 35 | |
| 3 | 2021 | 34 | |
| 4 | 2020 | 32 | |
| 5 | 2018 | 28 | |
| 6 | 2023 | 28 | |
| 7 | 2017 | 25 | |
| 8 | 2023 | 18 | |
| 9 | 2016 | 17 | |
| 10 | 2018 | 11 | |
| 11 | 2024 | 10 | |
| 12 | 2021 | 8 | |
| 13 | 2023 | 7 | |
| 14 | 2018 | 5 | |
| 15 | 2024 | 4 |
About Jason Asher
Jason Asher is a scholar working on Epidemiology, Infectious Diseases, Modeling and Simulation, Public Health, Environmental and Occupational Health and Virology, having authored 15 papers that have together received 349 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (7 papers), COVID-19 epidemiological studies (5 papers), Respiratory viral infections research (5 papers), Poxvirus research and outbreaks (3 papers), Viral Infections and Outbreaks Research (3 papers), Bacillus and Francisella bacterial research (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Zoonotic diseases and public health (2 papers). The work is most often cited by research in Modeling and Simulation (93 citations), Virology (47 citations), Infectious Diseases (132 citations), Epidemiology (173 citations) and Health (32 citations). Jason Asher has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Sean N. Tucker, Shaily Garg, David R. McIlwain, Keith Gottlieb, Kenneth H. Kim, David Liebowitz, Nikita Kolhatkar, James C. King, Ousseny Zerbo and Ian H. Spicknall. Their work appears in journals such as Epidemics, Emerging infectious diseases, Clinical Infectious Diseases, PLoS Computational Biology and Nature Communications.
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.