Aaron F. Carlin
- Infectious Diseases top 0.5%
- SARS-CoV-2 and COVID-19 Research 18
- SARS-CoV-2 detection and testing 10
- COVID-19 Clinical Research Studies 9
- Viral Infections and Vectors 5
- Immunology top 2%
- interferon and immune responses 6
- Modeling and Simulation top 1%
- Neurology top 2%
- Microbiology top 5%
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- Mosquito-borne diseases and control 9
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- Advanced biosensing and bioanalysis techniques 9
- Glycosylation and Glycoproteins Research 6
- Co-authors
- Davey M. SmithVictor NizetAjit VarkiStephen A. RawlingsAravinda M. de SilvaDaniela WeiskopfJennifer M. DanCarolyn Rydyznski Moderbacher
- Journals
- The Journal of Experimental Medicine (3 papers)Nature Communications (2 papers)Cell Reports (2 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Aaron F. Carlin
60 papers receiving 4.9k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Infectious Diseases 2.6k
- Immunology 1.3k
- Modeling and Simulation 249
- Neurology 629
- Microbiology 160
Countries citing papers authored by Aaron F. Carlin
This map shows the geographic impact of Aaron F. Carlin'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 Aaron F. Carlin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aaron F. Carlin more than expected).
Fields of papers citing papers by Aaron F. Carlin
This network shows the impact of papers produced by Aaron F. Carlin. 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 Aaron F. Carlin. The network helps show where Aaron F. Carlin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Aaron F. Carlin, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 24 | |
| 5 | 2024 | 15 | |
| 6 | 2024 | 1 | |
| 7 | 2023 | 4 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 22 | |
| 10 | 2022 | 28 | |
| 11 | 2022 | 10 | |
| 12 | 2022 | 9 | |
| 13 | 2022 | 3 | |
| 14 | 2021 | 25 | |
| 15 | 2021 | 3 | |
| 16 | 2021 | 90 | |
| 17 | 2020 | 199 | |
| 18 | 2009 | 134 | |
| 19 | 2009 | 139 | |
| 20 | 2007 | 45 |
About Aaron F. Carlin
Aaron F. Carlin is a scholar working on Infectious Diseases, Virology, Immunology, Public Health, Environmental and Occupational Health and Epidemiology, having authored 63 papers that have together received 5.0k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (18 papers), SARS-CoV-2 detection and testing (10 papers), COVID-19 Clinical Research Studies (9 papers), Mosquito-borne diseases and control (9 papers), Advanced biosensing and bioanalysis techniques (9 papers), Glycosylation and Glycoproteins Research (6 papers), interferon and immune responses (6 papers) and Viral Infections and Vectors (5 papers). The work is most often cited by research in Infectious Diseases (2.6k citations), Immunology (1.3k citations), Modeling and Simulation (249 citations), Neurology (629 citations) and Microbiology (160 citations). Aaron F. Carlin has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Davey M. Smith, Victor Nizet, Ajit Varki, Stephen A. Rawlings, Aravinda M. de Silva, Daniela Weiskopf, Jennifer M. Dan, Carolyn Rydyznski Moderbacher, Ramesh Jadi and Aaron Sutherland. Their work appears in journals such as The Journal of Experimental Medicine, Nature Communications, Cell Reports, Journal of Biological Chemistry and Journal of Medicinal Chemistry.
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.