Aaron Sutherland

7.1k citations
14 papers · 2.4k indexed · 1 hit paper · h-index 8

Impact in

Papers in

Aaron Sutherland

14 papers receiving 2.3k citations

Hit Papers

Targets of T Cell Responses to SARS-CoV-2 Coronavirus in Humans with COVID-19 Disease and Unexposed Individuals 2020 · 2.2k citations
2.2k202020262022202450010001.5k2.0k

Peers

Aaron Sutherland
Comparison fields: 5 of 100
  • Infectious Diseases 2.0k
  • Modeling and Simulation 242
  • Neurology 524
  • Immunology 545
  • Health 136
Replace Daniel Marrama with:
Daniel Marrama United States
Sydney I. Ramirez United States
C Tham Singapore
Carolyn Rydyznski Moderbacher United States
José Mateus United States
Kamini Kunasegaran Singapore
Nina Le Bert Singapore
Jared Feldman United States
Evan C. Lam United States
Neta S. Zuckerman Israel
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Citations per field
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Daniel Marrama · 1×
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

14 of 14 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 →
20202241
2 202228
3 202016
4 202112
5 202310
6 202110
7 20239
8 20209
9 20225
10 20195
11 20213
12 20093
13 20251
14 20231

About Aaron Sutherland

Aaron Sutherland is a scholar working on Immunology and Allergy, Microbiology, Infectious Diseases, Dermatology and Immunology, having authored 14 papers that have together received 2.4k indexed citations. Recurring topics across this work include Allergic Rhinitis and Sensitization (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Asthma and respiratory diseases (3 papers), Bacterial Infections and Vaccines (3 papers), Food Allergy and Anaphylaxis Research (3 papers), Peripheral Neuropathies and Disorders (2 papers), COVID-19 Clinical Research Studies (2 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Infectious Diseases (2.0k citations), Modeling and Simulation (242 citations), Neurology (524 citations), Immunology (545 citations) and Health (136 citations). Aaron Sutherland has collaborated with scholars based in United States, Italy and Israel. Frequent co-authors include Alessandro Sette, Bjoern Peters, April Frazier, Alba Grifoni, Jennifer M. Dan, Daniela Weiskopf, Sydney I. Ramirez, Stephen A. Rawlings, Shane Crotty and José Mateus. Their work appears in journals such as Cell Host & Microbe, JCI Insight, Cells, Journal of Allergy and Clinical Immunology and Frontiers in Immunology.

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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