Parul Mehrotra

21 total papers · 1.6k total citations
14 papers, 1.1k citations indexed

About

Parul Mehrotra is a scholar working on Molecular Biology, Infectious Diseases and Immunology. According to data from OpenAlex, Parul Mehrotra has authored 14 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Infectious Diseases and 4 papers in Immunology. Recurrent topics in Parul Mehrotra's work include Tuberculosis Research and Epidemiology (3 papers), Immune cells in cancer (3 papers) and Phagocytosis and Immune Regulation (3 papers). Parul Mehrotra is often cited by papers focused on Tuberculosis Research and Epidemiology (3 papers), Immune cells in cancer (3 papers) and Phagocytosis and Immune Regulation (3 papers). Parul Mehrotra collaborates with scholars based in India, Belgium and United States. Parul Mehrotra's co-authors include Kodi S. Ravichandran, Justin S. A. Perry, Christopher B. Medina, Brady Barron, Bart Ghesquière, Scott F. Walk, Alexander S. Krupnick, Ulrike Lorenz, Sho Morioka and Sanja Arandjelovic and has published in prestigious journals such as Nature, Nature Communications and Nature Reviews Drug Discovery.

In The Last Decade

Parul Mehrotra

13 papers receiving 1.1k citations

Hit Papers

Metabolites released from... 2020 2026 2022 2024 2020 2022 2022 2024 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Parul Mehrotra 467 466 177 127 123 14 1.1k
Konstantina Lyroni 512 1.1× 452 1.0× 188 1.1× 88 0.7× 91 0.7× 9 1.2k
Cynthia L. Tannahill 424 0.9× 430 0.9× 281 1.6× 58 0.5× 104 0.8× 23 1.3k
Xiaofeng Yang 711 1.5× 424 0.9× 194 1.1× 98 0.8× 119 1.0× 15 1.4k
Chiraz Atri 462 1.0× 296 0.6× 127 0.7× 69 0.5× 70 0.6× 6 977
Dror S. Shouval 592 1.3× 471 1.0× 184 1.0× 47 0.4× 98 0.8× 8 1.2k
Hong-Hsing Liu 647 1.4× 520 1.1× 178 1.0× 126 1.0× 89 0.7× 20 1.2k
T Fritz 310 0.7× 564 1.2× 214 1.2× 194 1.5× 86 0.7× 16 1.1k
Kyle Jablonski 612 1.3× 430 0.9× 158 0.9× 36 0.3× 110 0.9× 19 1.2k
Mohamed I. M. Ahmed 517 1.1× 329 0.7× 226 1.3× 154 1.2× 81 0.7× 17 946
Diana Legarda 420 0.9× 400 0.9× 111 0.6× 50 0.4× 114 0.9× 12 1.0k

Countries citing papers authored by Parul Mehrotra

Since Specialization
Citations

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

Fields of papers citing papers by Parul Mehrotra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Parul Mehrotra

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