Aaron Sutherland

7.1k total citations · 1 hit paper
14 papers, 2.4k citations indexed

About

Aaron Sutherland is a scholar working on Immunology and Allergy, Infectious Diseases and Immunology. According to data from OpenAlex, Aaron Sutherland has authored 14 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology and Allergy, 5 papers in Infectious Diseases and 4 papers in Immunology. Recurrent topics in Aaron Sutherland's work include Allergic Rhinitis and Sensitization (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers) and Food Allergy and Anaphylaxis Research (3 papers). Aaron Sutherland is often cited by papers focused on Allergic Rhinitis and Sensitization (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers) and Food Allergy and Anaphylaxis Research (3 papers). Aaron Sutherland collaborates with scholars based in United States, Italy and Israel. Aaron Sutherland's co-authors include Alessandro Sette, Bjoern Peters, April Frazier, Alba Grifoni, José Mateus, Daniela Weiskopf, Sydney I. Ramirez, Shane Crotty, Stephen A. Rawlings and Davey M. Smith and has published in prestigious journals such as Cell, Journal of Allergy and Clinical Immunology and Frontiers in Immunology.

In The Last Decade

Aaron Sutherland

14 papers receiving 2.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Targets of T Cell Responses to SARS-CoV-2 Coronavirus in Humans with COVID-19 Disease and Unexposed Individuals

2020 2.2k citations Alba Grifoni, Daniela Weiskopf et al. Cell profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Aaron Sutherland United States	8	2.0k	545	524	467	242	14	2.4k
Daniel Marrama United States	6	2.0k 1.0×	537 1.0×	512 1.0×	465 1.0×	238 1.0×	6	2.3k
Sydney I. Ramirez United States	9	2.3k 1.1×	572 1.0×	524 1.0×	549 1.2×	249 1.0×	12	2.6k
Carolyn Rydyznski Moderbacher United States	5	2.5k 1.2×	695 1.3×	567 1.1×	581 1.2×	273 1.1×	5	2.8k
C Tham Singapore	12	1.7k 0.9×	501 0.9×	396 0.8×	409 0.9×	190 0.8×	18	2.1k
José Mateus United States	12	2.5k 1.3×	736 1.4×	583 1.1×	605 1.3×	286 1.2×	20	3.0k
Kamini Kunasegaran Singapore	11	1.6k 0.8×	504 0.9×	379 0.7×	427 0.9×	179 0.7×	17	2.1k
Jared Feldman United States	13	2.2k 1.1×	419 0.8×	247 0.5×	702 1.5×	191 0.8×	24	2.6k
Evan C. Lam United States	14	2.1k 1.0×	351 0.6×	220 0.4×	558 1.2×	219 0.9×	23	2.4k
Neta S. Zuckerman Israel	20	1.2k 0.6×	332 0.6×	176 0.3×	389 0.8×	202 0.8×	73	2.0k
Heike Hofmann-Winkler Germany	17	2.0k 1.0×	293 0.5×	291 0.6×	446 1.0×	90 0.4×	23	2.4k

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-authorship network of co-authors of Aaron Sutherland

This figure shows the co-authorship network connecting the top 25 collaborators of Aaron Sutherland. A scholar is included among the top collaborators of Aaron Sutherland based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Aaron Sutherland. Aaron Sutherland is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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14 of 14 papers shown

Dantzer, Jennifer, Sloan A. Lewis, Kevin J. Psoter, et al.. (2025). Clinical and immunological outcomes after randomized trial of baked milk oral immunotherapy for milk allergy. JCI Insight. 10(1). 1 indexed citations

Lewis, Sloan A., Aaron Sutherland, Ferran Soldevila, et al.. (2023). Identification of cow milk epitopes to characterize and quantify disease-specific T cells in allergic children. Journal of Allergy and Clinical Immunology. 152(5). 1196–1209. 10 indexed citations

Antunes, Ricardo da Silva, Lorenzo Quiambao, Sandeep Kumar Dhanda, et al.. (2023). T cell reactivity to Bordetella pertussis is highly diverse regardless of childhood vaccination. Cell Host & Microbe. 31(8). 1404–1416.e4. 9 indexed citations

Kim, Minjun, Aaron Sutherland, Jaycee Jumarang, et al.. (2023). Effect of wash media type during PBMC isolation on downstream characterization of SARS-CoV-2-specific T cells. Journal of Immunological Methods. 519. 113520–113520. 1 indexed citations

Yu, Esther Dawen, Eric Wang, Benjamin Goodwin, et al.. (2022). Development of a T cell-based immunodiagnostic system to effectively distinguish SARS-CoV-2 infection and COVID-19 vaccination status. Cell Host & Microbe. 30(3). 388–399.e3. 28 indexed citations

Yu, Esther Dawen, Eric Wang, Aaron Sutherland, et al.. (2022). Ex vivo assays show human gamma-delta T cells specific for common allergens are Th1-polarized in allergic donors. Cell Reports Methods. 2(12). 100350–100350. 5 indexed citations

Yu, Esther Dawen, Alba Grifoni, April Frazier, et al.. (2021). B cells modulate mouse allergen-specific T cells in nonallergic laboratory animal-care workers. JCI Insight. 6(4). 3 indexed citations

Pomés, Anna, Véronique Schulten, Jill Glesner, et al.. (2021). IgE and T Cell Reactivity to a Comprehensive Panel of Cockroach Allergens in Relation to Disease. Frontiers in Immunology. 11. 621700–621700. 10 indexed citations

Yu, Esther Dawen, Alba Grifoni, Aaron Sutherland, et al.. (2021). Balanced Cellular and Humoral Immune Responses Targeting Multiple Antigens in Adults Receiving a Quadrivalent Inactivated Influenza Vaccine. Vaccines. 9(5). 426–426. 12 indexed citations

10.

Antunes, Ricardo da Silva, Lorenzo Quiambao, Aaron Sutherland, et al.. (2020). Development and Validation of a Bordetella pertussis Whole‐Genome Screening Strategy. Journal of Immunology Research. 2020(1). 8202067–8202067. 16 indexed citations

11.

Antunes, Ricardo da Silva, Lorenzo Quiambao, Ferran Soldevila, et al.. (2020). Lack of evidence supporting a role of IFN-β and TGF-β in differential polarization of Bordetella pertussis specific-T cell responses. Cytokine. 137. 155313–155313. 9 indexed citations

12.

Grifoni, Alba, Daniela Weiskopf, Sydney I. Ramirez, et al.. (2020). Targets of T Cell Responses to SARS-CoV-2 Coronavirus in Humans with COVID-19 Disease and Unexposed Individuals. Cell. 181(7). 1489–1501.e15. 2241 indexed citations breakdown →

13.

Chen, Meng, Aaron Sutherland, Susan Laubach, et al.. (2019). Analysis of Allergen-Specific T Cell and IgE Reactivity to Different Preparations of Cow’s Milk-Containing Food Extracts. Cells. 8(7). 667–667. 5 indexed citations

14.

Palin, Ronald, John K. Clark, Louise Evans, et al.. (2009). Rapid access towards follow-up NOP receptor agonists using a knowledge based approach. Bioorganic & Medicinal Chemistry Letters. 19(22). 6441–6446. 3 indexed citations

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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