Aisha Souquette

2.3k total citations · 1 hit paper
14 papers, 828 citations indexed

About

Aisha Souquette is a scholar working on Immunology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Aisha Souquette has authored 14 papers receiving a total of 828 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 4 papers in Infectious Diseases and 4 papers in Epidemiology. Recurrent topics in Aisha Souquette's work include T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (4 papers) and Immunotherapy and Immune Responses (3 papers). Aisha Souquette is often cited by papers focused on T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (4 papers) and Immunotherapy and Immune Responses (3 papers). Aisha Souquette collaborates with scholars based in United States, United Kingdom and Belgium. Aisha Souquette's co-authors include Paul G. Thomas, Jeremy Chase Crawford, Philip Bradley, George Wang, Andrew Fioré-Gartland, Tomer Hertz, Katherine Kedzierska, E. Bridie Clemens, Thi H. O. Nguyen and Nicole L. La Gruta and has published in prestigious journals such as Nature, Nature Biotechnology and The Journal of Immunology.

In The Last Decade

Aisha Souquette

14 papers receiving 823 citations

Hit Papers

align trajectories sort by overperformance

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.

Quantifiable predictive features define epitope-specific T cell receptor repertoires

2017 520 citations Pradyot Dash, Andrew Fioré-Gartland et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Aisha Souquette United States	7	508	335	185	166	116	14	828
Asaf Poran United States	10	394 0.8×	337 1.0×	298 1.6×	153 0.9×	84 0.7×	13	894
Namita T. Gupta United States	9	718 1.4×	299 0.9×	101 0.5×	104 0.6×	94 0.8×	15	996
Dipak Patel United States	15	447 0.9×	205 0.6×	106 0.6×	86 0.5×	75 0.6×	33	822
Grigory A. Efimov Russia	15	271 0.5×	186 0.6×	166 0.9×	113 0.7×	41 0.4×	46	555
E. Bridie Clemens Australia	13	736 1.4×	400 1.2×	163 0.9×	202 1.2×	328 2.8×	17	1.0k
Michelle A. Neller Australia	18	627 1.2×	223 0.7×	120 0.6×	490 3.0×	226 1.9×	33	992
Emily S.J. Edwards Australia	15	628 1.2×	185 0.6×	282 1.5×	264 1.6×	132 1.1×	37	993
James Thaventhiran United Kingdom	13	488 1.0×	255 0.8×	146 0.8×	156 0.9×	77 0.7×	27	863
Olusegun O. Onabajo United States	15	318 0.6×	208 0.6×	299 1.6×	158 1.0×	135 1.2×	29	858
Myles Dillon United States	11	292 0.6×	408 1.2×	107 0.6×	136 0.8×	101 0.9×	16	723

Countries citing papers authored by Aisha Souquette

Since Specialization

Citations

This map shows the geographic impact of Aisha Souquette'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 Aisha Souquette with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aisha Souquette more than expected).

Fields of papers citing papers by Aisha Souquette

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aisha Souquette. 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 Aisha Souquette. The network helps show where Aisha Souquette may publish in the future.

Co-authorship network of co-authors of Aisha Souquette

This figure shows the co-authorship network connecting the top 25 collaborators of Aisha Souquette. A scholar is included among the top collaborators of Aisha Souquette 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 Aisha Souquette. Aisha Souquette 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

Brimble, Mark A., Christopher L. Morton, Yunyu Spence, et al.. (2024). Pre-Existing Immunity to a Nucleic Acid Contaminant-Derived Antigen Mediates Transaminitis and Resultant Diminished Transgene Expression in a Mouse Model of Hepatic Recombinant Adeno-Associated Virus-Mediated Gene Transfer. Human Gene Therapy. 35(13-14). 477–489. 3 indexed citations

Souquette, Aisha & Paul G. Thomas. (2024). Variation in the basal immune state and implications for disease. eLife. 13. 2 indexed citations

Souquette, Aisha, Giuseppe A. Sautto, Ida Paciello, et al.. (2023). Prior SARS-CoV-2 Infection Enhances Initial mRNA Vaccine Response with a Lower Impact on Long-Term Immunity. ImmunoHorizons. 7(10). 635–651. 5 indexed citations

Elias, George, Pieter Meysman, Esther Bartholomeus, et al.. (2022). Preexisting memory CD4 T cells in naïve individuals confer robust immunity upon hepatitis B vaccination. eLife. 11. 11 indexed citations

Brimble, Mark A., Aisha Souquette, Yunyu Spence, et al.. (2022). Preventing packaging of translatable P5-associated DNA contaminants in recombinant AAV vector preps. Molecular Therapy — Methods & Clinical Development. 24. 280–291. 19 indexed citations

Schattgen, Stefan, Jeremy Chase Crawford, Aisha Souquette, et al.. (2021). Integrating T cell receptor sequences and transcriptional profiles by clonotype neighbor graph analysis (CoNGA). Nature Biotechnology. 40(1). 54–63. 56 indexed citations

Ghonim, Mohamed A., David F. Boyd, Lee-Ann Van de Velde, et al.. (2021). ADAMTS4 promotes chronic airway inflammation and hyperresponsiveness in HDM-based mouse model of asthma: A potential therapeutic target for asthma traits. The Journal of Immunology. 206(1_Supplement). 94.20–94.20. 1 indexed citations

Green, Amanda, Aisha Souquette, Mona Agrawal, et al.. (2021). 437. Longitudinal Plasma Cytokine Profiles Differentiating COVID-19 Severity Groups. Open Forum Infectious Diseases. 8(Supplement_1). S320–S320. 1 indexed citations

Flerlage, Tim, Aisha Souquette, E. Kaitlynn Allen, et al.. (2020). Nasal Wash Cytokines During Respiratory Viral Infection in Pediatric Allogeneic Hematopoietic Cell-Transplant Recipients. American Journal of Respiratory Cell and Molecular Biology. 63(3). 349–361. 1 indexed citations

10.

Mudd, Philip A., Jeremy Chase Crawford, Jackson S. Turner, et al.. (2020). Distinct inflammatory profiles distinguish COVID-19 from influenza with limited contributions from cytokine storm. Science Advances. 6(50). 149 indexed citations

11.

Souquette, Aisha & Paul G. Thomas. (2018). Past Life and Future Effects—How Heterologous Infections Alter Immunity to Influenza Viruses. Frontiers in Immunology. 9. 1071–1071. 25 indexed citations

12.

Elias, George, Aisha Souquette, Ingrid De Meester, et al.. (2018). Altered CD4+ T cell immunity in nurses occupationally exposed to viral pathogens. Clinical & Experimental Immunology. 194(2). 192–204. 2 indexed citations

13.

Dash, Pradyot, Andrew Fioré-Gartland, Tomer Hertz, et al.. (2017). Quantifiable predictive features define epitope-specific T cell receptor repertoires. Nature. 547(7661). 89–93. 520 indexed citations breakdown →

14.

Souquette, Aisha, Justin J. Frere, Megan J. Smithey, Delphine Sauce, & Paul G. Thomas. (2017). A constant companion: immune recognition and response to cytomegalovirus with aging and implications for immune fitness. GeroScience. 39(3). 293–303. 33 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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