Priya Rajendran

68 total papers · 1.3k total citations
47 papers, 919 citations indexed

About

Priya Rajendran is a scholar working on Infectious Diseases, Epidemiology and Surgery. According to data from OpenAlex, Priya Rajendran has authored 47 papers receiving a total of 919 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Infectious Diseases, 22 papers in Epidemiology and 5 papers in Surgery. Recurrent topics in Priya Rajendran's work include Tuberculosis Research and Epidemiology (18 papers), Mycobacterium research and diagnosis (14 papers) and Pneumonia and Respiratory Infections (11 papers). Priya Rajendran is often cited by papers focused on Tuberculosis Research and Epidemiology (18 papers), Mycobacterium research and diagnosis (14 papers) and Pneumonia and Respiratory Infections (11 papers). Priya Rajendran collaborates with scholars based in India, United States and United Kingdom. Priya Rajendran's co-authors include Gagandeep Kang, Toby Maurer, KN Brahmadathan, Lori R. Holtz, P Gladstone, Henry F. Chambers, Hobart W. Harris, David M. Young, Françoise Perdreau‐Remington and David Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Cochrane Database of Systematic Reviews.

In The Last Decade

Priya Rajendran

43 papers receiving 872 citations

Author Peers

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

Author Last Decade Papers Cites
Priya Rajendran 661 168 158 131 123 47 919
Geoffrey G Hogg 559 0.8× 372 2.2× 85 0.5× 147 1.1× 80 0.7× 39 1.2k
Els Wessels 395 0.6× 349 2.1× 98 0.6× 117 0.9× 76 0.6× 46 1.1k
Morris Schaeffer 362 0.5× 292 1.7× 51 0.3× 153 1.2× 57 0.5× 41 1.1k
Shyamal Kumar Paul 648 1.0× 69 0.4× 169 1.1× 128 1.0× 36 0.3× 60 984
B. Cryan 501 0.8× 191 1.1× 107 0.7× 84 0.6× 30 0.2× 64 878
Maria Luisa Marenzoni 286 0.4× 203 1.2× 83 0.5× 73 0.6× 159 1.3× 81 939
G J H M Ruijs 505 0.8× 211 1.3× 85 0.5× 92 0.7× 155 1.3× 39 1.1k
Silvia Piva 208 0.3× 142 0.8× 61 0.4× 91 0.7× 88 0.7× 88 1.2k
Thomas A. Hoffman 308 0.5× 339 2.0× 47 0.3× 167 1.3× 69 0.6× 31 1.1k
Teresa Llovet 409 0.6× 444 2.6× 111 0.7× 116 0.9× 39 0.3× 33 1.2k

Countries citing papers authored by Priya Rajendran

Since Specialization
Citations

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

Fields of papers citing papers by Priya Rajendran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Priya Rajendran

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