Aisha Souquette

2.3k citations
14 papers · 828 indexed · 1 hit paper · h-index 7
Topics
T-cell and B-cell Immunology (5 papers)Immune Cell Function and Interaction (4 papers)Immunotherapy and Immune Responses (3 papers)

In The Last Decade

Aisha Souquette

14 papers receiving 823 citations

Hit Papers

Quantifiable predictive features define epitope-specific ...20172026202020232017100200300400500

Peers

Aisha Souquette
Comparison fields: 5 of 76
  • Immunology 508
  • Molecular Biology 335
  • Infectious Diseases 185
  • Oncology 166
  • Epidemiology 116
Replace Charlotte Viant with:
Charlotte Viant United States
Emily S.J. Edwards Australia
Namita T. Gupta United States
Fabiana Rizzo Italy
Dipak Patel United States
E. Bridie Clemens Australia
Olusegun O. Onabajo United States
Natasja A. M. Kragten Netherlands
Grigory A. Efimov Russia
Véronique Corbière Belgium
Aisha Souquette relative to Charlotte Viant United States Charlotte Viant's profile →
Citations per field
00.5×1.5×
Charlotte Viant · 1×
Citations per year

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

14 of 14 papers shown
#WorkIndexed citations
1 3
2 2
3 5
4 11
5 19
6 56
7 1
8 1
9 1
10 149
11 25
12 2
13
Quantifiable predictive features define epitope-specific T cell receptor repertoiresbreakdown →
520
14 33

About Aisha Souquette

Aisha Souquette is a scholar working on Immunology, Modeling and Simulation and Infectious Diseases, having authored 14 papers that have together received 828 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (4 papers) and Immunotherapy and Immune Responses (3 papers). The work is most often cited by research in Immunology (508 citations), Infectious Diseases (185 citations) and Oncology (166 citations). Aisha Souquette has collaborated with scholars based in United States, United Kingdom and Belgium. Frequent co-authors include Paul G. Thomas, Jeremy Chase Crawford, Philip Bradley, Thi H. O. Nguyen, Shalini Sharma, Pradyot Dash, Andrew Fioré-Gartland, Tomer Hertz, Nicole L. La Gruta and Katherine Kedzierska. Their work appears in journals such as Nature, Nature Biotechnology and The Journal of 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026