Prashant Nadkarni

496 total citations
9 papers, 372 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 372 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 Ovarian function and disorders (3 papers), Reproductive Biology and Fertility (3 papers) and Pituitary Gland Disorders and Treatments (2 papers). Prashant Nadkarni is often cited by papers focused on Ovarian function and disorders (3 papers), Reproductive Biology and Fertility (3 papers) and Pituitary Gland Disorders and Treatments (2 papers). Prashant Nadkarni collaborates with scholars based in United States, Singapore and United Kingdom. Prashant Nadkarni's co-authors include George G. Holz, Oleg G. Chepurny, Ian Craft, Pankaj Shrivastav, G. Wensvoort, Budi Wiweko, Y. Takehara, Jie Qiao, Clement Ho and Gottumukkala Achyuta Rama Raju 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 360 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Prashant Nadkarni United States 6 130 129 115 94 87 9 372
Celia Pender United States 8 183 1.4× 127 1.0× 91 0.8× 122 1.3× 48 0.6× 8 405
Marion Cornuau France 8 163 1.3× 56 0.4× 36 0.3× 90 1.0× 37 0.4× 10 449
Rok Herman Slovenia 8 103 0.8× 93 0.7× 115 1.0× 70 0.7× 49 0.6× 18 344
Carmine Bruno Italy 12 132 1.0× 77 0.6× 153 1.3× 81 0.9× 26 0.3× 46 404
Zelija Velija-Ašimi Bosnia and Herzegovina 12 103 0.8× 86 0.7× 161 1.4× 79 0.8× 53 0.6× 39 378
Lydia Gil Huerta Spain 10 58 0.4× 88 0.7× 102 0.9× 23 0.2× 97 1.1× 13 345
Shuyi Chen China 11 121 0.9× 78 0.6× 116 1.0× 23 0.2× 54 0.6× 25 438
Nika Aleksandra Kravos Slovenia 8 317 2.4× 114 0.9× 260 2.3× 140 1.5× 76 0.9× 13 588
Edoardo Vergani Italy 11 127 1.0× 68 0.5× 108 0.9× 82 0.9× 16 0.2× 40 356
Magda M.I. Hennes United States 10 96 0.7× 86 0.7× 177 1.5× 80 0.9× 69 0.8× 12 489

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

9 of 9 papers shown
1.
Nadkarni, Prashant, et al.. (2021). Acute severe Cushing’s disease presenting as a hypercoagulable state. Baylor University Medical Center Proceedings. 34(6). 715–717. 1 indexed citations
2.
Ashraf, Sadia, et al.. (2018). Liraglutide for the Treatment of Hypothalamic Obesity. AACE Clinical Case Reports. 4(4). e342–e345. 3 indexed citations
3.
Dhaliwal, Ruban, et al.. (2017). Impact of ‘Transition of Care Model’ On Hospital Diabetic Ketoacidosis Readmission Rates: A Pilot Study. MOspace Institutional Repository (University of Missouri).
4.
Nadkarni, Prashant, Oleg G. Chepurny, & George G. Holz. (2014). Regulation of Glucose Homeostasis by GLP-1. Progress in molecular biology and translational science. 121. 23–65. 216 indexed citations
5.
Qiao, Jie, Clement Ho, Gottumukkala Achyuta Rama Raju, et al.. (2011). Current opinion on use of luteinizing hormone supplementation in assisted reproduction therapy: an Asian perspective. Reproductive BioMedicine Online. 23(1). 81–90. 36 indexed citations
6.
Balasubramanyam, Ashok, Siripoom McKay, Prashant Nadkarni, et al.. (1999). Ethnicity affects the postprandial regulation of glycogenolysis. American Journal of Physiology-Endocrinology and Metabolism. 277(5). E905–E914. 18 indexed citations
7.
Shrivastav, Pankaj, Prashant Nadkarni, G. Wensvoort, & Ian Craft. (1994). Andrology: Percutaneous epididymal sperm aspiration for obstructive azoospermia. Human Reproduction. 9(11). 2058–2061. 64 indexed citations
8.
Shrivastav, Pankaj, Prashant Nadkarni, & Ian Craft. (1994). Day care management of severe ovarian hyperstimulation syndrome avoids hospitalization and morbidity. Human Reproduction. 9(5). 812–814. 27 indexed citations
9.
Al‐Shawaf, Talha, et al.. (1991). The reproductive outcome following a superhigh response to stimulation in gamete intrafallopian transfer program. Journal of Assisted Reproduction and Genetics. 8(4). 202–207. 7 indexed citations

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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2026