Aaron Sutherland
Impact in
- Infectious Diseases top 0.5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
- Modeling and Simulation top 1%
- COVID-19 epidemiological studies
Papers in
-
- Allergic Rhinitis and Sensitization 4
- Food Allergy and Anaphylaxis Research 3
-
- SARS-CoV-2 and COVID-19 Research 4
- COVID-19 Clinical Research Studies 2
- Co-authors
- Alessandro Sette (10 shared papers)April Frazier (9 shared papers)Bjoern Peters (9 shared papers)Alba Grifoni (4 shared papers)Daniela Weiskopf (2 shared papers)Shane Crotty (2 shared papers)Jennifer M. Dan (2 shared papers)José Mateus (2 shared papers)
- Journals
- Cell Host & Microbe (2 papers)JCI Insight (2 papers)Cytokine (1 paper)Cell Reports Methods (1 paper)Bioorganic & Medicinal Chemistry Letters (1 paper)
- Partner nations
- United StatesItalyIsrael
In The Last Decade
Aaron Sutherland
14 papers receiving 2.4k citations
Aaron Sutherland's Hit Papers
Peers
Comparison fields: 5 of 98
- Infectious Diseases 1.9k
- Modeling and Simulation 209
- Neurology 446
- Immunology 497
- Health 125
Countries citing papers authored by Aaron Sutherland
This map shows the geographic impact of Aaron Sutherland'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 Sutherland with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aaron Sutherland more than expected).
Fields of papers citing papers by Aaron Sutherland
This network shows the impact of papers produced by Aaron Sutherland. 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 Sutherland. The network helps show where Aaron Sutherland may publish in the future.
Co-authors
The 25 scholars most cited alongside Aaron Sutherland, 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 | Targets of T Cell Responses to SARS-CoV-2 Coronavirus in Humans with COVID-19 Disease and Unexposed Individuals Hit paper breakdown → | 2020 | 2311 |
| 2 | 2022 | 30 | |
| 3 | 2020 | 17 | |
| 4 | 2021 | 13 | |
| 5 | 2023 | 13 | |
| 6 | 2023 | 12 | |
| 7 | 2021 | 11 | |
| 8 | 2020 | 10 | |
| 9 | 2019 | 6 | |
| 10 | 2022 | 6 | |
| 11 | 2025 | 3 | |
| 12 | 2021 | 3 | |
| 13 | 2009 | 3 | |
| 14 | 2023 | 1 |
About Aaron Sutherland
Aaron Sutherland is a scholar working on Immunology and Allergy, Infectious Diseases, Molecular Biology, Physiology and Microbiology, having authored 14 papers that have together received 2.4k indexed citations. Recurring topics across this work include Allergic Rhinitis and Sensitization (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Bacterial Infections and Vaccines (3 papers), Food Allergy and Anaphylaxis Research (3 papers), Asthma and respiratory diseases (3 papers), T-cell and B-cell Immunology (2 papers), Peripheral Neuropathies and Disorders (2 papers) and COVID-19 Clinical Research Studies (2 papers). The work is most often cited by research in Infectious Diseases (1.9k citations), Modeling and Simulation (209 citations), Neurology (446 citations), Immunology (497 citations) and Health (125 citations). Aaron Sutherland has collaborated with scholars based in United States, Italy and Israel. Frequent co-authors include Alessandro Sette, April Frazier, Bjoern Peters, Alba Grifoni, Daniela Weiskopf, Shane Crotty, Jennifer M. Dan, José Mateus, Stephen A. Rawlings and Davey M. Smith. Their work appears in journals such as Cell Host & Microbe, JCI Insight, Cytokine, Cell Reports Methods and Bioorganic & Medicinal Chemistry Letters.
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.