Aaron Sutherland

5.7k citations
17 papers · 4.5k · 3 hit papers · h-index 10

Impact in

Papers in

Aaron Sutherland

17 papers receiving 4.4k citations

Aaron Sutherland's Hit Papers

Impact of SARS-CoV-2 variants on the total CD4+ and CD8+ T cell reactivity in infected or vaccinated individuals 2021 · 580 citations
5800+2+4Years since publication5001k1.5k2k2.5k

Peers

Aaron Sutherland
Comparison fields: 5 of 94
  • Infectious Diseases 3.6k
  • Modeling and Simulation 145
  • Immunology 334
  • Immunology and Allergy 45
  • Molecular Biology 495
Replace Katharine A. Floyd with:
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Citations per field
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Citations per year

Countries citing papers authored by Aaron Sutherland

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Aaron Sutherland Line = papers co-authored together Aaron Sutherland links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1
Targets of T Cell Responses to SARS-CoV-2 Coronavirus in Humans with COVID-19 Disease and Unexposed Individuals
Hit paper breakdown →
20202871
2
Selective and cross-reactive SARS-CoV-2 T cell epitopes in unexposed humans
Hit paper breakdown →
2020893
3
Impact of SARS-CoV-2 variants on the total CD4+ and CD8+ T cell reactivity in infected or vaccinated individuals
Hit paper breakdown →
2021580
4 202238
5 202021
6 202117
7 202115
8 202313
9 202313
10 202011
11 20219
12 20227
13 20196
14 20254
15 20213
16 20231
17 20251

About Aaron Sutherland

Aaron Sutherland is a scholar working on Immunology and Allergy, Infectious Diseases, Microbiology, Immunology and Physiology, having authored 17 papers that have together received 4.5k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (5 papers), Allergic Rhinitis and Sensitization (5 papers), T-cell and B-cell Immunology (4 papers), Food Allergy and Anaphylaxis Research (3 papers), Bacterial Infections and Vaccines (3 papers), Influenza Virus Research Studies (1 paper) and Asthma and respiratory diseases (1 paper). The work is most often cited by research in Infectious Diseases (3.6k citations), Modeling and Simulation (145 citations), Immunology (334 citations), Immunology and Allergy (45 citations) and Molecular Biology (495 citations). Aaron Sutherland has collaborated with scholars based in United States, Israel and Italy. Frequent co-authors include Alessandro Sette, Bjoern Peters, April Frazier, Alba Grifoni, Jennifer M. Dan, Sydney I. Ramirez, Davey Mitchell Smith, Daniela Weiskopf, Shane Crotty and José Mateus. Their work appears in journals such as JCI Insight, Cell Host & Microbe, Journal of Allergy and Clinical Immunology, Frontiers in Immunology and Journal of Immunology Research.

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.

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