Jai Patel

8 total papers · 776 total citations
3 papers, 396 citations indexed

About

Jai Patel is a scholar working on Molecular Biology, Oncology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Jai Patel has authored 3 papers receiving a total of 396 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Oncology and 1 paper in Cardiology and Cardiovascular Medicine. Recurrent topics in Jai Patel's work include CAR-T cell therapy research (2 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers) and Cardiovascular Function and Risk Factors (1 paper). Jai Patel is often cited by papers focused on CAR-T cell therapy research (2 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers) and Cardiovascular Function and Risk Factors (1 paper). Jai Patel collaborates with scholars based in United States. Jai Patel's co-authors include Marc Rendell, Martin St. John Sutton, Rita Patwardhan, Paresh Dandona, Jo Dole, Martin I. Freed, Karen Murphy, Shantan Reddy, Saba Ghassemi and Selene Nuñez-Cruz and has published in prestigious journals such as Blood, Diabetes Care and Nature Biomedical Engineering.

In The Last Decade

Jai Patel

3 papers receiving 389 citations

Hit Papers

Rapid manufacturing of no... 2022 2026 2023 2024 2022 50 100 150
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 benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

  1. Rapid manufacturing of non-activated potent CAR T cells
    2022 181 citations Saba Ghassemi, Joseph S. Durgin et al. Nature Biomedical Engineering profile →

Author Peers

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

Author Last Decade Papers Cites
Jai Patel 223 167 137 71 71 3 396
Damien Saugy 305 1.4× 71 0.4× 17 0.1× 24 0.3× 29 0.4× 7 440
Limin He 139 0.6× 90 0.5× 37 0.3× 21 0.3× 57 0.8× 6 388
Kazuwa Nakao 142 0.6× 46 0.3× 19 0.1× 245 3.5× 11 0.2× 7 398
Françoise Lasne 73 0.3× 13 0.1× 118 0.9× 22 0.3× 60 0.8× 5 379
Peter Yiqing Li 264 1.2× 29 0.2× 13 0.1× 191 2.7× 17 0.2× 5 407
Troy F. Kimsey 94 0.4× 151 0.9× 45 0.3× 62 0.9× 9 0.1× 6 390
Oreste Romeo 152 0.7× 105 0.6× 49 0.4× 32 0.5× 12 0.2× 8 397
Terri Phua 183 0.8× 65 0.4× 9 0.1× 43 0.6× 30 0.4× 7 338
Kailash N. Pandey 213 1.0× 29 0.2× 55 0.4× 257 3.6× 19 0.3× 7 400
Gihad Abdelhady 225 1.0× 51 0.3× 56 0.4× 9 0.1× 53 0.7× 4 342

Countries citing papers authored by Jai Patel

Since Specialization
Citations

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

Fields of papers citing papers by Jai Patel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jai Patel

This figure shows the co-authorship network connecting the top 25 collaborators of Jai Patel. A scholar is included among the top collaborators of Jai Patel 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 Jai Patel. Jai Patel 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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2026