Payal Patel

46 total papers · 1.6k total citations
20 papers, 770 citations indexed

About

Payal Patel is a scholar working on Public Health, Environmental and Occupational Health, Geriatrics and Gerontology and Infectious Diseases. According to data from OpenAlex, Payal Patel has authored 20 papers receiving a total of 770 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Public Health, Environmental and Occupational Health, 5 papers in Geriatrics and Gerontology and 4 papers in Infectious Diseases. Recurrent topics in Payal Patel's work include Pharmaceutical Practices and Patient Outcomes (5 papers), SARS-CoV-2 detection and testing (4 papers) and COVID-19 Clinical Research Studies (2 papers). Payal Patel is often cited by papers focused on Pharmaceutical Practices and Patient Outcomes (5 papers), SARS-CoV-2 detection and testing (4 papers) and COVID-19 Clinical Research Studies (2 papers). Payal Patel collaborates with scholars based in United States, Canada and United Kingdom. Payal Patel's co-authors include Peter J. Zed, Reem A. Mustafa, Holger J. Schünemann, Payal M. Patel, Kelly Grindrod, Janet Martin, Meha Bhatt, Wojtek Wiercioch, Wendy Lim and Housne Begum and has published in prestigious journals such as SHILAP Revista de lepidopterología, Clinical Infectious Diseases and The Journal of Urology.

In The Last Decade

Payal Patel

17 papers receiving 745 citations

Hit Papers

American Society of Hemat... 2018 2026 2020 2023 2018 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
Payal Patel 188 158 143 125 120 20 770
Mathilde Gisselbrecht 104 0.6× 238 1.5× 40 0.3× 102 0.8× 32 0.3× 42 901
Michael Militello 199 1.1× 124 0.8× 61 0.4× 265 2.1× 98 0.8× 37 741
Steven Baroletti 151 0.8× 76 0.5× 23 0.2× 212 1.7× 42 0.3× 28 848
Vinit Nair 111 0.6× 99 0.6× 27 0.2× 71 0.6× 30 0.3× 32 908
Maria Grazia Troncon 69 0.4× 81 0.5× 28 0.2× 143 1.1× 47 0.4× 13 766
Glen Brown 33 0.2× 60 0.4× 72 0.5× 97 0.8× 46 0.4× 46 701
George A. Davis 161 0.9× 22 0.1× 76 0.5× 211 1.7× 40 0.3× 51 877
Anna Conlon 43 0.2× 51 0.3× 109 0.8× 69 0.6× 105 0.9× 19 706
Karen Fiumara 200 1.1× 63 0.4× 191 1.3× 111 0.9× 159 1.3× 26 877
France Clarke 186 1.0× 114 0.7× 36 0.3× 147 1.2× 85 0.7× 39 845

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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