Aesha Vakil

32 total papers · 1.7k total citations
16 papers, 475 citations indexed

About

Aesha Vakil is a scholar working on Oncology, Molecular Biology and Genetics. According to data from OpenAlex, Aesha Vakil has authored 16 papers receiving a total of 475 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Oncology, 5 papers in Molecular Biology and 5 papers in Genetics. Recurrent topics in Aesha Vakil's work include CAR-T cell therapy research (12 papers), Chronic Lymphocytic Leukemia Research (4 papers) and Lymphoma Diagnosis and Treatment (3 papers). Aesha Vakil is often cited by papers focused on CAR-T cell therapy research (12 papers), Chronic Lymphocytic Leukemia Research (4 papers) and Lymphoma Diagnosis and Treatment (3 papers). Aesha Vakil collaborates with scholars based in United States, Canada and South Africa. Aesha Vakil's co-authors include Cameron J. Turtle, Kevin A. Hay, Barbara S. Pender, Alexandre V. Hirayama, Reed M. Hawkins, Stanley R. Riddell, David G. Maloney, Jordan Gauthier, Rachel N. Steinmetz and Alyssa Sheih and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Oncogene.

In The Last Decade

Aesha Vakil

15 papers receiving 474 citations

Hit Papers

Feasibility and efficacy ... 2020 2026 2022 2024 2020 50 100 150 200

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Aesha Vakil 372 157 130 125 110 16 475
Barbara S. Pender 372 1.0× 145 0.9× 104 0.8× 119 1.0× 113 1.0× 19 449
Christine Dehner 394 1.1× 147 0.9× 88 0.7× 67 0.5× 73 0.7× 19 512
Ian R. Hardy 418 1.1× 58 0.4× 184 1.4× 57 0.5× 104 0.9× 10 549
Priscilla Do 209 0.6× 148 0.9× 90 0.7× 207 1.7× 25 0.2× 18 453
Mingzhi Zhang 330 0.9× 47 0.3× 108 0.8× 22 0.2× 78 0.7× 19 423
Zahra Asgari 314 0.8× 97 0.6× 203 1.6× 41 0.3× 52 0.5× 16 531
Nicole Adrian 323 0.9× 191 1.2× 84 0.6× 65 0.5× 31 0.3× 10 428
Shui‐on Leung 168 0.5× 124 0.8× 164 1.3× 52 0.4× 34 0.3× 28 470
Misa Imai 251 0.7× 30 0.2× 242 1.9× 149 1.2× 82 0.7× 23 530
Joseph S. Durgin 262 0.7× 35 0.2× 118 0.9× 43 0.3× 75 0.7× 20 408

Countries citing papers authored by Aesha Vakil

Since Specialization
Citations

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

Fields of papers citing papers by Aesha Vakil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aesha Vakil

This figure shows the co-authorship network connecting the top 25 collaborators of Aesha Vakil. A scholar is included among the top collaborators of Aesha Vakil 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 Aesha Vakil. Aesha Vakil is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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