Stephen M. Bart
Impact in
- Aging top 10%
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 detection and testing
- Viral Infections and Vectors
- Viral Infections and Outbreaks Research
Papers in
-
- SARS-CoV-2 and COVID-19 Research 7
- SARS-CoV-2 detection and testing 6
- Viral Infections and Outbreaks Research 4
- Viral Infections and Vectors 2
-
- COVID-19 epidemiological studies 6
- Co-authors
- James Shorter (3 shared papers)Laura M. Castellano (2 shared papers)James B. Lok (1 shared paper)Jonathan D. Stoltzfus (1 shared paper)Eric Tse (1 shared paper)Stephanie N. Gates (1 shared paper)Daniel R. Southworth (1 shared paper)Paul Bates (3 shared papers)
- Journals
- Clinical Infectious Diseases (5 papers)MMWR Morbidity and Mortality Weekly Report (4 papers)PLoS Pathogens (2 papers)Nature Communications (1 paper)Veterinary Microbiology (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Stephen M. Bart
18 papers receiving 411 citations
Peers
Comparison fields: 5 of 81
- Aging 29
- Infectious Diseases 177
- Modeling and Simulation 40
- Health 39
- Parasitology 32
Countries citing papers authored by Stephen M. Bart
This map shows the geographic impact of Stephen M. Bart'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 Stephen M. Bart with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen M. Bart more than expected).
Fields of papers citing papers by Stephen M. Bart
This network shows the impact of papers produced by Stephen M. Bart. 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 Stephen M. Bart. The network helps show where Stephen M. Bart may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephen M. Bart, 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 | 2021 | 105 | |
| 2 | 2019 | 78 | |
| 3 | 2014 | 43 | |
| 4 | 2017 | 39 | |
| 5 | 2015 | 29 | |
| 6 | 2021 | 22 | |
| 7 | 2018 | 21 | |
| 8 | 2020 | 19 | |
| 9 | 2023 | 19 | |
| 10 | 2023 | 10 | |
| 11 | 2020 | 7 | |
| 12 | 2015 | 6 | |
| 13 | 2021 | 5 | |
| 14 | 2020 | 5 | |
| 15 | 2021 | 4 | |
| 16 | 2025 | 3 | |
| 17 | 2023 | 3 | |
| 18 | 2022 | 2 | |
| 19 | 2023 | 1 |
About Stephen M. Bart
Stephen M. Bart is a scholar working on Infectious Diseases, Modeling and Simulation, Epidemiology, Molecular Biology and Computer Networks and Communications, having authored 19 papers that have together received 421 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (7 papers), SARS-CoV-2 detection and testing (6 papers), COVID-19 epidemiological studies (6 papers), Viral Infections and Outbreaks Research (4 papers), Heat shock proteins research (2 papers), Hepatitis B Virus Studies (2 papers), Viral Infections and Vectors (2 papers) and Parasites and Host Interactions (1 paper). The work is most often cited by research in Aging (29 citations), Infectious Diseases (177 citations), Modeling and Simulation (40 citations), Health (39 citations) and Parasitology (32 citations). Stephen M. Bart has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include James Shorter, Laura M. Castellano, James B. Lok, Jonathan D. Stoltzfus, Eric Tse, Stephanie N. Gates, Daniel R. Southworth, Paul Bates, Alexandrea N. Rizo and Frank DiMaio. Their work appears in journals such as Clinical Infectious Diseases, MMWR Morbidity and Mortality Weekly Report, PLoS Pathogens, Nature Communications and Veterinary Microbiology.
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.