Prashant Nadkarni

19 total papers · 494 total citations
9 papers, 370 citations indexed

About

Prashant Nadkarni is a scholar working on Reproductive Medicine, Surgery and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Prashant Nadkarni has authored 9 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Reproductive Medicine, 3 papers in Surgery and 3 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Prashant Nadkarni's work include Reproductive Biology and Fertility (3 papers), Ovarian function and disorders (3 papers) and Endometriosis Research and Treatment (2 papers). Prashant Nadkarni is often cited by papers focused on Reproductive Biology and Fertility (3 papers), Ovarian function and disorders (3 papers) and Endometriosis Research and Treatment (2 papers). Prashant Nadkarni collaborates with scholars based in United States, Singapore and Thailand. Prashant Nadkarni's co-authors include Oleg G. Chepurny, George G. Holz, Ian Craft, Pankaj Shrivastav, G. Wensvoort, Budi Wiweko, Clement Ho, Jie Qiao, Hsin‐Fu Chen and Y. Takehara and has published in prestigious journals such as Human Reproduction, American Journal of Physiology-Endocrinology and Metabolism and Reproductive BioMedicine Online.

In The Last Decade

Prashant Nadkarni

8 papers receiving 355 citations

Author Peers

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

Author Last Decade Papers Cites
Prashant Nadkarni 130 128 113 94 87 9 370
Konstantinos Lois 176 1.4× 64 0.5× 141 1.2× 94 1.0× 55 0.6× 9 411
Süreyya Ceylan 129 1.0× 54 0.4× 59 0.5× 121 1.3× 87 1.0× 13 353
Celia Pender 182 1.4× 127 1.0× 90 0.8× 123 1.3× 48 0.6× 8 404
Meriam El Aboubi 215 1.7× 80 0.6× 79 0.7× 181 1.9× 31 0.4× 6 431
Matthew Molitch 44 0.3× 65 0.5× 148 1.3× 61 0.6× 33 0.4× 11 417
Xiaohui Xu 64 0.5× 126 1.0× 69 0.6× 30 0.3× 70 0.8× 13 348
Lydia Gil Huerta 58 0.4× 88 0.7× 101 0.9× 23 0.2× 97 1.1× 13 342
Orapin Gerdprasert 150 1.2× 90 0.7× 34 0.3× 46 0.5× 75 0.9× 15 410
Chad K. Stroud 55 0.4× 139 1.1× 46 0.4× 38 0.4× 56 0.6× 6 379
Miao‐E Liu 154 1.2× 60 0.5× 84 0.7× 67 0.7× 77 0.9× 13 393

Countries citing papers authored by Prashant Nadkarni

Since Specialization
Citations

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

Fields of papers citing papers by Prashant Nadkarni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prashant Nadkarni

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