Parveen Parasar

33 total papers · 895 total citations
14 papers, 580 citations indexed

About

Parveen Parasar is a scholar working on Immunology, Molecular Biology and Obstetrics and Gynecology. According to data from OpenAlex, Parveen Parasar has authored 14 papers receiving a total of 580 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 6 papers in Molecular Biology and 4 papers in Obstetrics and Gynecology. Recurrent topics in Parveen Parasar's work include Reproductive System and Pregnancy (5 papers), Peroxisome Proliferator-Activated Receptors (4 papers) and Adipose Tissue and Metabolism (3 papers). Parveen Parasar is often cited by papers focused on Reproductive System and Pregnancy (5 papers), Peroxisome Proliferator-Activated Receptors (4 papers) and Adipose Tissue and Metabolism (3 papers). Parveen Parasar collaborates with scholars based in United States, India and France. Parveen Parasar's co-authors include Pınar Özcan, Kathryn L. Terry, Nihar R. Nayak, Nicholas Ng, Raymond M. Anchan, Jaspreet Singh, Aaron J. Thomas, Kenneth L. White, Abby D. Benninghoff and Christopher J. Davies and has published in prestigious journals such as Journal of Pharmacology and Experimental Therapeutics, Fertility and Sterility and Journal of Inherited Metabolic Disease.

In The Last Decade

Parveen Parasar

13 papers receiving 568 citations

Hit Papers

Endometriosis: Epidemiolo... 2017 2026 2020 2023 2017 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Parveen Parasar 452 327 199 121 68 14 580
Alfonsa Pizzo 479 1.1× 330 1.0× 230 1.2× 173 1.4× 62 0.9× 19 641
Miwako Nagai 313 0.7× 272 0.8× 276 1.4× 81 0.7× 41 0.6× 15 552
Emanuele Sturlese 342 0.8× 319 1.0× 147 0.7× 121 1.0× 37 0.5× 29 568
Gülçı̇n Şahin Ersoy 244 0.5× 223 0.7× 169 0.8× 52 0.4× 95 1.4× 22 504
Georgios Koumantakis 479 1.1× 270 0.8× 208 1.0× 112 0.9× 36 0.5× 22 594
I. Chiodo 418 0.9× 346 1.1× 175 0.9× 57 0.5× 29 0.4× 10 500
Serena Pinzauti 496 1.1× 448 1.4× 157 0.8× 99 0.8× 21 0.3× 19 575
Sébastien Colette 629 1.4× 459 1.4× 292 1.5× 97 0.8× 25 0.4× 17 674
Patrizia Carrarelli 438 1.0× 325 1.0× 206 1.0× 70 0.6× 85 1.3× 18 556
Irene Velasco 580 1.3× 437 1.3× 228 1.1× 71 0.6× 25 0.4× 25 657

Countries citing papers authored by Parveen Parasar

Since Specialization
Citations

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

Fields of papers citing papers by Parveen Parasar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Parveen Parasar

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