John S. Brownstein
- Modeling and Simulation top 0.01%
- COVID-19 epidemiological studies 116
- Infectious Diseases top 0.05%
- Viral Infections and Vectors 28
- Viral Infections and Outbreaks Research 27
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- Mosquito-borne diseases and control 41
- Zoonotic diseases and public health 29
- Health top 0.1%
- Vaccine Coverage and Hesitancy 40
- Parasitology top 0.2%
-
- Data-Driven Disease Surveillance 145
- Influenza Virus Research Studies 75
- Co-authors
- Simon I HayLawrence C. MadoffOliver J. BradyCatherine L. MoyesPeter W. GethingJane P. MessinaSamir BhattThomas W. Scott
- Cited by
- Modeling and SimulationInfectious DiseasesPublic Health, Environmental and Occupational Health
- Journals
- PLoS ONE (16 papers)PLoS Currents (13 papers)Journal of Medical Internet Research (13 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
John S. Brownstein
340 papers receiving 29.1k citations
Hit Papers
Peers
Comparison fields: 5 of 219
- Modeling and Simulation 5.9k
- Infectious Diseases 9.4k
- Public Health, Environmental and Occupational Health 12.5k
- Health 2.4k
- Parasitology 1.4k
Countries citing papers authored by John S. Brownstein
This map shows the geographic impact of John S. Brownstein'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 John S. Brownstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John S. Brownstein more than expected).
Fields of papers citing papers by John S. Brownstein
This network shows the impact of papers produced by John S. Brownstein. 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 John S. Brownstein. The network helps show where John S. Brownstein may publish in the future.
Co-authorship network
The 25 scholars most cited alongside John S. Brownstein, 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 | 2024 | 6 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 26 | |
| 4 | 2023 | 3 | |
| 5 | 2022 | 7 | |
| 6 | Use of At-Home COVID-19 Tests — United States, August 23, 2021–March 12, 2022breakdown → | 2022 | 121 |
| 7 | 2022 | 22 | |
| 8 | 2021 | 38 | |
| 9 | Factors Associated With US Adults' Likelihood of Accepting COVID-19 Vaccination (vol 3, e2025594, 2020) | 2020 | 4 |
| 10 | 2018 | 20 | |
| 11 | Antibiotic resistance increases with local temperaturebreakdown → | 2018 | 344 |
| 12 | 2018 | 67 | |
| 13 | 2017 | 42 | |
| 14 | 2017 | 85 | |
| 15 | 2017 | 46 | |
| 16 | 2017 | 32 | |
| 17 | 2016 | 83 | |
| 18 | 2015 | 18 | |
| 19 | 2014 | 51 | |
| 20 | 2010 | 66 |
About John S. Brownstein
John S. Brownstein is a scholar working on Modeling and Simulation, Health and Epidemiology, having authored 345 papers that have together received 30.1k indexed citations. Recurring topics across this work include Data-Driven Disease Surveillance (145 papers), COVID-19 epidemiological studies (116 papers), Influenza Virus Research Studies (75 papers), Mosquito-borne diseases and control (41 papers), Vaccine Coverage and Hesitancy (40 papers), Zoonotic diseases and public health (29 papers), Viral Infections and Vectors (28 papers) and Viral Infections and Outbreaks Research (27 papers). The work is most often cited by research in Modeling and Simulation (5.9k citations), Infectious Diseases (9.4k citations) and Public Health, Environmental and Occupational Health (12.5k citations). John S. Brownstein has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Simon I Hay, Lawrence C. Madoff, Oliver J. Brady, Catherine L. Moyes, Peter W. Gething, Jane P. Messina, Samir Bhatt, Thomas W. Scott, Andrew Farlow and Dylan B. George. Their work appears in journals such as PLoS ONE, PLoS Currents, Journal of Medical Internet Research, Emerging infectious diseases and JMIR Public Health and Surveillance.
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.