Brian Wahl
Impact in
- Health Informatics top 0.2%
- Artificial Intelligence in Healthcare and Education
- Modeling and Simulation top 0.5%
- COVID-19 epidemiological studies
Papers in
- Epidemiology 18
- Pneumonia and Respiratory Infections 12
- Respiratory viral infections research 7
- Influenza Virus Research Studies 6
- Health 14
- Vaccine Coverage and Hesitancy 14
- Co-authors
- Nina Schwalbe (7 shared papers)Stefan Germann (2 shared papers)Maria Deloria Knoll (11 shared papers)Katherine L. O’Brien (5 shared papers)David McAllister (4 shared papers)Harish Nair (4 shared papers)Li Liu (4 shared papers)Harry Campbell (4 shared papers)
- Journals
- Vaccine (3 papers)International Journal of Infectious Diseases (2 papers)The Lancet Global Health (2 papers)BMC Public Health (2 papers)The Lancet Infectious Diseases (2 papers)
- Partner nations
- United StatesIndiaSwitzerland
In The Last Decade
Brian Wahl
38 papers receiving 2.9k citations
Brian Wahl's Hit Papers
Peers
Comparison fields: 5 of 171
- Health Informatics 348
- Modeling and Simulation 460
- Health 420
- Microbiology 298
- Applied Psychology 198
Countries citing papers authored by Brian Wahl
This map shows the geographic impact of Brian Wahl'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 Brian Wahl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Wahl more than expected).
Fields of papers citing papers by Brian Wahl
This network shows the impact of papers produced by Brian Wahl. 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 Brian Wahl. The network helps show where Brian Wahl may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian Wahl, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Burden of Streptococcus pneumoniae and Haemophilus influenzae type b disease in children in the era of conjugate vaccines: global, regional, and national estimates for 2000–15 Hit paper breakdown → | 2018 | 716 |
| 2 | Artificial intelligence and the future of global health Hit paper breakdown → | 2020 | 418 |
| 3 | 2018 | 388 | |
| 4 | 2020 | 297 | |
| 5 | Building trust while influencing online COVID-19 content in the social media world Hit paper breakdown → | 2020 | 235 |
| 6 | Evidence on Digital Mental Health Interventions for Adolescents and Young People: Systematic Overview Hit paper breakdown → | 2021 | 227 |
| 7 | 2020 | 155 | |
| 8 | 2022 | 57 | |
| 9 | 2020 | 56 | |
| 10 | 2021 | 50 | |
| 11 | 2019 | 35 | |
| 12 | 2015 | 32 | |
| 13 | 2021 | 28 | |
| 14 | 2021 | 28 | |
| 15 | 2022 | 27 | |
| 16 | 2020 | 26 | |
| 17 | 2021 | 25 | |
| 18 | 2020 | 24 | |
| 19 | 2019 | 21 | |
| 20 | 2019 | 20 |
About Brian Wahl
Brian Wahl is a scholar working on Epidemiology, Health, Infectious Diseases, Modeling and Simulation and Microbiology, having authored 45 papers that have together received 3.0k indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (14 papers), Pneumonia and Respiratory Infections (12 papers), COVID-19 epidemiological studies (11 papers), SARS-CoV-2 and COVID-19 Research (7 papers), Bacterial Infections and Vaccines (7 papers), Respiratory viral infections research (7 papers), Influenza Virus Research Studies (6 papers) and Global Maternal and Child Health (5 papers). The work is most often cited by research in Health Informatics (348 citations), Modeling and Simulation (460 citations), Health (420 citations), Microbiology (298 citations) and Applied Psychology (198 citations). Brian Wahl has collaborated with scholars based in United States, India and Switzerland. Frequent co-authors include Nina Schwalbe, Stefan Germann, Maria Deloria Knoll, Katherine L. O’Brien, David McAllister, Harish Nair, Li Liu, Harry Campbell, Yue Chu and Robert E. Black. Their work appears in journals such as Vaccine, International Journal of Infectious Diseases, The Lancet Global Health, BMC Public Health and The Lancet Infectious Diseases.
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.