Bryan Tegomoh
Impact in
- Virology top 5%
- Poxvirus research and outbreaks
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
Papers in
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- SARS-CoV-2 and COVID-19 Research 3
- SARS-CoV-2 detection and testing 3
- Viral gastroenteritis research and epidemiology 2
- HIV/AIDS Research and Interventions 1
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- HIV, Drug Use, Sexual Risk 1
- Co-authors
- Michael Konomos (1 shared paper)Boghuma K Titanji (2 shared papers)Prathit A. Kulkarni (1 shared paper)Saman Nematollahi (1 shared paper)Lauren Jansen (1 shared paper)Matthew Donahue (2 shared papers)Joseph R. Fauver (1 shared paper)Bryan Buss (1 shared paper)
- Journals
- Frontiers in Veterinary Science (1 paper)MMWR Morbidity and Mortality Weekly Report (1 paper)Nature Microbiology (1 paper)Open Forum Infectious Diseases (1 paper)Public Health Reports (1 paper)
- Partner nations
- United States
In The Last Decade
Bryan Tegomoh
2 papers receiving 287 citations
Bryan Tegomoh's Hit Papers
Peers
Comparison fields: 5 of 46
- Virology 168
- Modeling and Simulation 36
- Infectious Diseases 110
- Epidemiology 130
- Molecular Biology 152
Countries citing papers authored by Bryan Tegomoh
This map shows the geographic impact of Bryan Tegomoh'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 Bryan Tegomoh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bryan Tegomoh more than expected).
Fields of papers citing papers by Bryan Tegomoh
This network shows the impact of papers produced by Bryan Tegomoh. 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 Bryan Tegomoh. The network helps show where Bryan Tegomoh may publish in the future.
Co-authors
The 15 scholars most cited alongside Bryan Tegomoh, 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 | Monkeypox: A Contemporary Review for Healthcare Professionals Hit paper breakdown → | 2022 | 179 |
| 2 | 2021 | 114 | |
| 3 | 2025 | 0 | |
| 4 | 2023 | 0 | |
| 5 | 2022 | 0 |
About Bryan Tegomoh
Bryan Tegomoh is a scholar working on Infectious Diseases, Epidemiology, Molecular Biology, General Health Professions and Virology, having authored 5 papers that have together received 293 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (3 papers), SARS-CoV-2 detection and testing (3 papers), Viral gastroenteritis research and epidemiology (2 papers), Adolescent Sexual and Reproductive Health (1 paper), HIV, Drug Use, Sexual Risk (1 paper), Bacillus and Francisella bacterial research (1 paper), HIV/AIDS Research and Interventions (1 paper) and Poxvirus research and outbreaks (1 paper). The work is most often cited by research in Virology (168 citations), Modeling and Simulation (36 citations), Infectious Diseases (110 citations), Epidemiology (130 citations) and Molecular Biology (152 citations). Bryan Tegomoh has collaborated with scholars based in United States. Frequent co-authors include Michael Konomos, Boghuma K Titanji, Prathit A. Kulkarni, Saman Nematollahi, Lauren Jansen, Matthew Donahue, Joseph R. Fauver, Bryan Buss, Peter C. Iwen and Baha Abdalhamid. Their work appears in journals such as Frontiers in Veterinary Science, MMWR Morbidity and Mortality Weekly Report, Nature Microbiology, Open Forum Infectious Diseases and Public Health Reports.
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.