Anuja Dokras

18.4k total citations · 8 hit papers
167 papers, 10.1k citations indexed

About

Anuja Dokras is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Anuja Dokras has authored 167 papers receiving a total of 10.1k indexed citations (citations by other indexed papers that have themselves been cited), including 130 papers in Reproductive Medicine, 70 papers in Public Health, Environmental and Occupational Health and 49 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Anuja Dokras's work include Ovarian function and disorders (109 papers), Reproductive Biology and Fertility (49 papers) and Assisted Reproductive Technology and Twin Pregnancy (37 papers). Anuja Dokras is often cited by papers focused on Ovarian function and disorders (109 papers), Reproductive Biology and Fertility (49 papers) and Assisted Reproductive Technology and Twin Pregnancy (37 papers). Anuja Dokras collaborates with scholars based in United States, Australia and United Kingdom. Anuja Dokras's co-authors include Helena Teede, Terhi Piltonen, Laura G. Cooney, Robert J. Norman, Bradley J. Van Voorhis, Mary D. Sammel, Michael Costello, Lisa Moran, Joop S.E. Laven and Marie Misso and has published in prestigious journals such as JAMA, The Journal of Clinical Endocrinology & Metabolism and The American Journal of Human Genetics.

In The Last Decade

Anuja Dokras

153 papers receiving 9.8k citations

Hit Papers

Recommendations from the internatio... 2007 2026 2013 2019 2018 2010 2007 2017 2020 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anuja Dokras United States 47 7.9k 5.1k 1.6k 1.3k 1.0k 167 10.1k
Adam Balen United Kingdom 51 8.1k 1.0× 6.0k 1.2× 1.9k 1.2× 1.3k 1.0× 960 0.9× 189 10.3k
Bülent Okan Yıldız Türkiye 42 8.9k 1.1× 5.6k 1.1× 721 0.5× 2.2k 1.6× 795 0.8× 151 12.1k
Stefano Palomba Italy 60 7.7k 1.0× 4.1k 0.8× 1.4k 0.9× 1.4k 1.0× 3.0k 2.8× 261 11.0k
Terhi Piltonen Finland 42 5.5k 0.7× 3.5k 0.7× 674 0.4× 1.0k 0.8× 926 0.9× 170 6.8k
Cornelis B. Lambalk Netherlands 55 7.8k 1.0× 6.5k 1.3× 3.2k 2.0× 963 0.7× 1.6k 1.5× 313 11.2k
David S. Guzick United States 45 5.4k 0.7× 3.1k 0.6× 1.4k 0.9× 1.1k 0.8× 1.8k 1.7× 153 8.1k
Clarisa R. Gracia United States 47 3.5k 0.4× 4.1k 0.8× 1.7k 1.1× 1.7k 1.2× 532 0.5× 145 7.2k
Antonio Lanzone Italy 44 3.4k 0.4× 2.4k 0.5× 1.0k 0.6× 1.4k 1.0× 1.7k 1.6× 370 7.0k
Rui Alberto Ferriani Brazil 43 4.5k 0.6× 2.7k 0.5× 942 0.6× 640 0.5× 2.1k 2.0× 314 6.6k
Fahimeh Ramezani Tehrani Iran 42 2.8k 0.4× 2.2k 0.4× 784 0.5× 1.4k 1.1× 865 0.8× 300 6.1k

Countries citing papers authored by Anuja Dokras

Since Specialization
Citations

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

Fields of papers citing papers by Anuja Dokras

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anuja Dokras

This figure shows the co-authorship network connecting the top 25 collaborators of Anuja Dokras. A scholar is included among the top collaborators of Anuja Dokras 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 Anuja Dokras. Anuja Dokras is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Lewey, Jennifer, Jarcy Zee, Anuja Dokras, et al.. (2025). Association Between Uterine Fibroids and Risk of Atherosclerotic Cardiovascular Disease. Journal of the American Heart Association. 15(1). e044014–e044014.
2.
Teede, Helena, Lisa Moran, Melanie Gibson‐Helm, et al.. (2025). Polycystic ovary syndrome perspectives from patients and health professionals on clinical features, current name, and renaming: a longitudinal international online survey. EClinicalMedicine. 84. 103287–103287. 2 indexed citations
3.
Hinkle, Stefanie N., et al.. (2025). The Invisible Burden: Examining the Impact of Exposure Misclassification in Epidemiologic Analyses of Uterine Fibroids. Paediatric and Perinatal Epidemiology. 40(2). 177–186.
4.
Lee, Iris, et al.. (2025). Effect of glucagon-like peptide 1 receptor agonist medications on weight loss in patients with and without polycystic ovary syndrome. Fertility and Sterility. 124(3). 562–564. 1 indexed citations
5.
Cooney, Laura G., Mary D. Sammel, Iris Lee, et al.. (2024). The details matter: personalized prediction of live birth after in vitro fertilization in women with polycystic ovary syndrome. Fertility and Sterility. 121(6). 1010–1019. 1 indexed citations
6.
Applebaum, Jeremy, et al.. (2024). Racial and socioeconomic disparities in fertility treatment provision for patients with polycystic ovary syndrome. Fertility and Sterility. 122(5). 928–937. 1 indexed citations
7.
Teede, Helena, Joop S.E. Laven, Anuja Dokras, et al.. (2024). International PCOS guideline clinical research priorities roadmap: a co-designed approach aligned with end-user priorities in a neglected women’s health condition. EClinicalMedicine. 78. 102927–102927. 6 indexed citations
8.
Pastoor, Hester, Aya Mousa, Wichor M. Bramer, et al.. (2024). Sexual function in women with polycystic ovary syndrome: a systematic review and meta-analysis. Human Reproduction Update. 30(3). 323–340. 9 indexed citations
9.
Lee, Iris, John Rees, Anne Kim, et al.. (2024). Depression, Anxiety, and Risk of Metabolic Syndrome in Women With Polycystic Ovary Syndrome: A Longitudinal Study. The Journal of Clinical Endocrinology & Metabolism. 110(3). e750–e756. 7 indexed citations
11.
Alur-Gupta, Snigdha & Anuja Dokras. (2023). Considerations in the Treatment of Depression and Anxiety in Women with PCOS. Seminars in Reproductive Medicine. 41(01/02). 37–44. 3 indexed citations
12.
Teede, Helena, Chau Thien Tay, Joop S.E. Laven, et al.. (2023). Recommendations From the 2023 International Evidence-Based Guideline for the Assessment and Management of Polycystic Ovary Syndrome. Obstetrical & Gynecological Survey. 78(12). 742–743. 1 indexed citations
13.
Teede, Helena, Chau Thien Tay, Anuja Dokras, et al.. (2023). Recommendations From the 2023 International Evidence-based Guideline for the Assessment and Management of Polycystic Ovary Syndrome. The Journal of Clinical Endocrinology & Metabolism. 108(10). 2447–2469. 336 indexed citations breakdown →
16.
Penn, Courtney A., Jessica L. Chan, Clementina Mesaros, et al.. (2019). Association of serum androgens and coronary artery calcium scores in women. Fertility and Sterility. 112(3). 586–593. 7 indexed citations
18.
Legro, Richard S., William C. Dodson, Allen R. Kunselman, et al.. (2014). Effects of preconception intervention on the PCOS phenotype, ovulation, and live birth rates: a multi-center, multi-phase RCT. Fertility and Sterility. 102(3). e2–e2. 1 indexed citations
19.
20.
Dokras, Anuja, et al.. (2006). Obstetric Outcomes After In Vitro Fertilization in Obese and Morbidly Obese Women. Obstetrics and Gynecology. 108(1). 61–69. 182 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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