Varun Vaidya

82 total papers · 927 total citations
45 papers, 666 citations indexed

About

Varun Vaidya is a scholar working on General Health Professions, Economics and Econometrics and Family Practice. According to data from OpenAlex, Varun Vaidya has authored 45 papers receiving a total of 666 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in General Health Professions, 9 papers in Economics and Econometrics and 8 papers in Family Practice. Recurrent topics in Varun Vaidya's work include Medication Adherence and Compliance (8 papers), Pharmaceutical Practices and Patient Outcomes (8 papers) and Health Systems, Economic Evaluations, Quality of Life (7 papers). Varun Vaidya is often cited by papers focused on Medication Adherence and Compliance (8 papers), Pharmaceutical Practices and Patient Outcomes (8 papers) and Health Systems, Economic Evaluations, Quality of Life (7 papers). Varun Vaidya collaborates with scholars based in United States, Saudi Arabia and India. Varun Vaidya's co-authors include G Partha, Monita Karmakar, John J. Sheehan, Michael J. Peeters, Meghan Hufstader Gabriel, Anthony J. Comerota, Fedor Lurie, Pranav M. Patel, Ahmed Al‐Jedai and Rajesh Balkrishnan and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Varun Vaidya

43 papers receiving 640 citations

Author Peers

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

Author Last Decade Papers Cites
Varun Vaidya 160 126 98 96 75 45 666
Kun-Sei Lee 167 1.0× 128 1.0× 99 1.0× 81 0.8× 61 0.8× 74 759
David Monterde 156 1.0× 165 1.3× 165 1.7× 99 1.0× 57 0.8× 30 616
Kathryn Coyle 134 0.8× 101 0.8× 121 1.2× 158 1.6× 76 1.0× 36 710
George James 202 1.3× 104 0.8× 72 0.7× 44 0.5× 45 0.6× 55 784
Francesco Avossa 132 0.8× 118 0.9× 209 2.1× 65 0.7× 43 0.6× 44 602
Racheli Magnezi 230 1.4× 127 1.0× 113 1.2× 72 0.8× 32 0.4× 64 729
J. Gourmelen 116 0.7× 97 0.8× 77 0.8× 56 0.6× 68 0.9× 51 724
Tatsuyoshi Ikenoue 150 0.9× 128 1.0× 143 1.5× 105 1.1× 62 0.8× 63 766
Melissa McLeod 209 1.3× 146 1.2× 108 1.1× 58 0.6× 86 1.1× 52 714
Michel Ibrahim 221 1.4× 92 0.7× 75 0.8× 97 1.0× 39 0.5× 56 707

Countries citing papers authored by Varun Vaidya

Since Specialization
Citations

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

Fields of papers citing papers by Varun Vaidya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Varun Vaidya

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