Kevin O’Laughlin
Impact in
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- Poxvirus research and outbreaks
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- Legionella and Acanthamoeba research
Papers in
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- SARS-CoV-2 and COVID-19 Research 4
- SARS-CoV-2 detection and testing 3
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- COVID-19 epidemiological studies 4
- Co-authors
- Jennifer Chevinsky (1 shared paper)Brooke Hoots (1 shared paper)Lori Saathoff-Huber (1 shared paper)Mark W. Tenforde (1 shared paper)Ngozi Ezike (1 shared paper)Jennifer E. Layden (1 shared paper)Anne Kimball (1 shared paper)Jonathan Meiman (1 shared paper)
- Journals
- Emerging infectious diseases (5 papers)Open Forum Infectious Diseases (2 papers)Travel Medicine and Infectious Disease (1 paper)JAMA (1 paper)MMWR Morbidity and Mortality Weekly Report (1 paper)
- Partner nations
- United StatesAustraliaItaly
In The Last Decade
Kevin O’Laughlin
11 papers receiving 137 citations
Peers
Comparison fields: 5 of 54
- Virology 24
- Endocrinology 21
- Modeling and Simulation 8
- Physiology 45
- Emergency Medicine 15
Countries citing papers authored by Kevin O’Laughlin
This map shows the geographic impact of Kevin O’Laughlin'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 Kevin O’Laughlin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin O’Laughlin more than expected).
Fields of papers citing papers by Kevin O’Laughlin
This network shows the impact of papers produced by Kevin O’Laughlin. 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 Kevin O’Laughlin. The network helps show where Kevin O’Laughlin may publish in the future.
Co-authors
The 25 scholars most cited alongside Kevin O’Laughlin, 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 | 2019 | 64 | |
| 2 | 2022 | 25 | |
| 3 | 2023 | 12 | |
| 4 | 2023 | 11 | |
| 5 | 2020 | 10 | |
| 6 | 2021 | 8 | |
| 7 | 2022 | 8 | |
| 8 | 2020 | 3 | |
| 9 | 2022 | 2 | |
| 10 | 2022 | 2 | |
| 11 | 2025 | 1 | |
| 12 | 2025 | 0 | |
| 13 | 2012 | 0 |
About Kevin O’Laughlin
Kevin O’Laughlin is a scholar working on Infectious Diseases, Modeling and Simulation, Molecular Biology, Health and Endocrinology, having authored 13 papers that have together received 146 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (4 papers), COVID-19 epidemiological studies (4 papers), SARS-CoV-2 detection and testing (3 papers), Vaccine Coverage and Hesitancy (3 papers), Legionella and Acanthamoeba research (2 papers), Heme Oxygenase-1 and Carbon Monoxide (2 papers), Smoking Behavior and Cessation (1 paper) and Sports Analytics and Performance (1 paper). The work is most often cited by research in Virology (24 citations), Endocrinology (21 citations), Modeling and Simulation (8 citations), Physiology (45 citations) and Emergency Medicine (15 citations). Kevin O’Laughlin has collaborated with scholars based in United States, Australia and Italy. Frequent co-authors include Jennifer Chevinsky, Brooke Hoots, Lori Saathoff-Huber, Mark W. Tenforde, Ngozi Ezike, Jennifer E. Layden, Anne Kimball, Jonathan Meiman, Isaac Ghinai and Ian W. Pray. Their work appears in journals such as Emerging infectious diseases, Open Forum Infectious Diseases, Travel Medicine and Infectious Disease, JAMA and MMWR Morbidity and Mortality Weekly Report.
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.