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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- Heme Oxygenase-1 and Carbon Monoxide 2
- Co-authors
- Mark Layer (1 shared paper)Anne Kimball (1 shared paper)Jennifer Chevinsky (1 shared paper)Livia Navon (1 shared paper)Brooke Hoots (1 shared paper)Ngozi Ezike (1 shared paper)Ian W. Pray (1 shared paper)Lori Saathoff-Huber (1 shared paper)
- Journals
- Emerging infectious diseases (5 papers)Open Forum Infectious Diseases (2 papers)Travel Medicine and Infectious Disease (1 paper)MMWR Morbidity and Mortality Weekly Report (1 paper)JAMA (1 paper)
- Partner nations
- United StatesItalyUganda
In The Last Decade
Kevin O’Laughlin
12 papers receiving 146 citations
Peers
Comparison fields: 5 of 52
- Virology 24
- Endocrinology 22
- Physiology 49
- Modeling and Simulation 7
- Infectious Diseases 24
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 | 69 | |
| 2 | 2022 | 25 | |
| 3 | 2023 | 13 | |
| 4 | 2023 | 11 | |
| 5 | 2020 | 11 | |
| 6 | 2021 | 8 | |
| 7 | 2022 | 8 | |
| 8 | 2020 | 3 | |
| 9 | 2022 | 2 | |
| 10 | 2025 | 2 | |
| 11 | 2022 | 2 | |
| 12 | 2025 | 1 | |
| 13 | 2012 | 0 |
About Kevin O’Laughlin
Kevin O’Laughlin is a scholar working on Infectious Diseases, Molecular Biology, Endocrinology, Modeling and Simulation and Health, having authored 13 papers that have together received 155 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (4 papers), SARS-CoV-2 detection and testing (3 papers), COVID-19 epidemiological studies (3 papers), Vaccine Coverage and Hesitancy (2 papers), Heme Oxygenase-1 and Carbon Monoxide (2 papers), Legionella and Acanthamoeba research (2 papers), Cerebrospinal fluid and hydrocephalus (1 paper) and Poxvirus research and outbreaks (1 paper). The work is most often cited by research in Virology (24 citations), Endocrinology (22 citations), Physiology (49 citations), Modeling and Simulation (7 citations) and Infectious Diseases (24 citations). Kevin O’Laughlin has collaborated with scholars based in United States, Italy and Uganda. Frequent co-authors include Mark Layer, Anne Kimball, Jennifer Chevinsky, Livia Navon, Brooke Hoots, Ngozi Ezike, Ian W. Pray, Lori Saathoff-Huber, Jennifer E. Layden and Isaac Ghinai. Their work appears in journals such as Emerging infectious diseases, Open Forum Infectious Diseases, Travel Medicine and Infectious Disease, MMWR Morbidity and Mortality Weekly Report and JAMA.
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.