Payal Patel

196 total papers · 2.8k total citations
105 papers, 1.6k citations indexed

About

Payal Patel is a scholar working on Epidemiology, Applied Microbiology and Biotechnology and Infectious Diseases. According to data from OpenAlex, Payal Patel has authored 105 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Epidemiology, 37 papers in Applied Microbiology and Biotechnology and 28 papers in Infectious Diseases. Recurrent topics in Payal Patel's work include Antibiotic Use and Resistance (37 papers), Urinary Tract Infections Management (21 papers) and Patient Satisfaction in Healthcare (13 papers). Payal Patel is often cited by papers focused on Antibiotic Use and Resistance (37 papers), Urinary Tract Infections Management (21 papers) and Patient Satisfaction in Healthcare (13 papers). Payal Patel collaborates with scholars based in United States, India and United Kingdom. Payal Patel's co-authors include Angel N. Desai, Vineet Chopra, Valerie M. Vaughn, David Ratz, Scott A. Flanders, Tejal Gandhi, Lindsay A Petty, Anurag N. Malani, Hallie C. Prescott and Elizabeth McLaughlin and has published in prestigious journals such as JAMA, SHILAP Revista de lepidopterología and Annals of Internal Medicine.

In The Last Decade

Payal Patel

93 papers receiving 1.6k citations

Hit Papers

Empiric Antibacterial The... 2020 2026 2022 2024 2020 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Payal Patel 527 522 430 236 171 105 1.6k
Lisa Hall 421 0.8× 661 1.3× 300 0.7× 309 1.3× 149 0.9× 114 1.6k
Lisa Pineles 383 0.7× 785 1.5× 403 0.9× 201 0.9× 150 0.9× 95 1.7k
Valerie M. Vaughn 693 1.3× 325 0.6× 526 1.2× 347 1.5× 197 1.2× 84 1.7k
Trevor Van Schooneveld 548 1.0× 623 1.2× 287 0.7× 131 0.6× 143 0.8× 89 1.3k
Michael Borg 463 0.9× 705 1.4× 670 1.6× 273 1.2× 121 0.7× 72 1.8k
Lisa Davidson 388 0.7× 301 0.6× 481 1.1× 315 1.3× 86 0.5× 48 1.7k
Gregory Filice 996 1.9× 603 1.2× 451 1.0× 259 1.1× 123 0.7× 68 2.3k
Michihiko Goto 652 1.2× 567 1.1× 462 1.1× 184 0.8× 122 0.7× 92 1.7k
Angela Dramowski 539 1.0× 397 0.8× 322 0.7× 135 0.6× 135 0.8× 104 1.5k
Anurag N. Malani 1.2k 2.2× 844 1.6× 632 1.5× 247 1.0× 209 1.2× 93 2.1k

Countries citing papers authored by Payal Patel

Since Specialization
Citations

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

Fields of papers citing papers by Payal Patel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Payal Patel

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