Jesse Knight
Impact in
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
-
- Venous Thromboembolism Diagnosis and Management
Papers in
- Epidemiology 16
- HIV, Drug Use, Sexual Risk 6
- Influenza Virus Research Studies 3
- Acute Ischemic Stroke Management 2
-
- HIV/AIDS Research and Interventions 6
- Co-authors
- Sharmistha Mishra (13 shared papers)Liying Zhang (1 shared paper)Max Wintermark (2 shared papers)Richard I. Aviv (2 shared papers)Sean Symons (2 shared papers)April Khademi (2 shared papers)Graham W. Taylor (2 shared papers)J. H. Samour (1 shared paper)
- Journals
- American Journal of Epidemiology (3 papers)Current HIV/AIDS Reports (1 paper)Infectious Disease Modelling (1 paper)Journal of the International AIDS Society (1 paper)Veterinary Record (1 paper)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Jesse Knight
22 papers receiving 210 citations
Peers
Comparison fields: 5 of 59
- Modeling and Simulation 32
- Internal Medicine 20
- Neurology 60
- Epidemiology 136
- Virology 18
Countries citing papers authored by Jesse Knight
This map shows the geographic impact of Jesse Knight'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 Jesse Knight with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jesse Knight more than expected).
Fields of papers citing papers by Jesse Knight
This network shows the impact of papers produced by Jesse Knight. 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 Jesse Knight. The network helps show where Jesse Knight may publish in the future.
Co-authors
The 25 scholars most cited alongside Jesse Knight, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 76 | |
| 2 | 2020 | 25 | |
| 3 | 2009 | 18 | |
| 4 | 1984 | 15 | |
| 5 | 2018 | 12 | |
| 6 | 2019 | 9 | |
| 7 | 2022 | 9 | |
| 8 | 2021 | 8 | |
| 9 | 2021 | 8 | |
| 10 | 2023 | 6 | |
| 11 | 2016 | 6 | |
| 12 | 1973 | 5 | |
| 13 | 2023 | 3 | |
| 14 | 2022 | 3 | |
| 15 | 2025 | 2 | |
| 16 | 2025 | 2 | |
| 17 | 2024 | 2 | |
| 18 | 2017 | 2 | |
| 19 | 2021 | 2 | |
| 20 | 2024 | 1 |
About Jesse Knight
Jesse Knight is a scholar working on Epidemiology, Infectious Diseases, Virology, Sociology and Political Science and Modeling and Simulation, having authored 24 papers that have together received 216 indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (6 papers), HIV, Drug Use, Sexual Risk (6 papers), Sex work and related issues (4 papers), COVID-19 epidemiological studies (4 papers), Poxvirus research and outbreaks (3 papers), Influenza Virus Research Studies (3 papers), Acute Ischemic Stroke Management (2 papers) and Adolescent Sexual and Reproductive Health (2 papers). The work is most often cited by research in Modeling and Simulation (32 citations), Internal Medicine (20 citations), Neurology (60 citations), Epidemiology (136 citations) and Virology (18 citations). Jesse Knight has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Sharmistha Mishra, Liying Zhang, Max Wintermark, Richard I. Aviv, Sean Symons, April Khademi, Graham W. Taylor, J. H. Samour, Darrell H. S. Tan and Linwei Wang. Their work appears in journals such as American Journal of Epidemiology, Current HIV/AIDS Reports, Infectious Disease Modelling, Journal of the International AIDS Society and Veterinary Record.
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.