Vaidehi Agrawal

59 total papers · 1.3k total citations
33 papers, 442 citations indexed

About

Vaidehi Agrawal is a scholar working on Surgery, General Health Professions and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Vaidehi Agrawal has authored 33 papers receiving a total of 442 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Surgery, 9 papers in General Health Professions and 8 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Vaidehi Agrawal's work include Diversity and Career in Medicine (6 papers), Healthcare professionals’ stress and burnout (6 papers) and Medical Education and Admissions (5 papers). Vaidehi Agrawal is often cited by papers focused on Diversity and Career in Medicine (6 papers), Healthcare professionals’ stress and burnout (6 papers) and Medical Education and Admissions (5 papers). Vaidehi Agrawal collaborates with scholars based in United States and India. Vaidehi Agrawal's co-authors include Michael S. Truitt, Theresa Jackson, Kevin Taubman, Arthur E. Frankel, Zhamak Khorgami, Jung Hee Woo, Hagop M. Kantarjian, G. Borthakur, Everett Stone and Brittany Bankhead-Kendall and has published in prestigious journals such as SHILAP Revista de lepidopterología, The American Journal of Surgery and World Journal of Surgery.

In The Last Decade

Vaidehi Agrawal

32 papers receiving 431 citations

Author Peers

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

Author Last Decade Papers Cites
Vaidehi Agrawal 177 105 104 87 57 33 442
Helen M. Johnson 68 0.4× 41 0.4× 69 0.7× 52 0.6× 14 0.2× 53 428
Renee Tholey 24 0.1× 60 0.6× 50 0.5× 135 1.6× 26 0.5× 25 454
John Ong 143 0.8× 70 0.7× 52 0.5× 62 0.7× 47 0.8× 38 378
Marianna Karamanou 64 0.4× 107 1.0× 19 0.2× 60 0.7× 53 0.9× 51 442
Simran Singh 113 0.6× 67 0.6× 9 0.1× 30 0.3× 18 0.3× 44 463
Monica Hagan Vetter 50 0.3× 46 0.4× 31 0.3× 90 1.0× 17 0.3× 33 477
Rebecca Y. Kim 26 0.1× 54 0.5× 33 0.3× 134 1.5× 9 0.2× 32 461
Maggie L. Westfal 94 0.5× 130 1.2× 104 1.0× 132 1.5× 15 0.3× 27 437
Mateusz J Świerz 82 0.5× 131 1.2× 15 0.1× 107 1.2× 26 0.5× 29 459
Seo‐Young Park 47 0.3× 116 1.1× 11 0.1× 15 0.2× 11 0.2× 33 494

Countries citing papers authored by Vaidehi Agrawal

Since Specialization
Citations

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

Fields of papers citing papers by Vaidehi Agrawal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vaidehi Agrawal

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