Shweta Nayak

521 total citations
9 papers, 294 citations indexed

About

Shweta Nayak is a scholar working on Pediatrics, Perinatology and Child Health, Public Health, Environmental and Occupational Health and Reproductive Medicine. According to data from OpenAlex, Shweta Nayak has authored 9 papers receiving a total of 294 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Pediatrics, Perinatology and Child Health, 3 papers in Public Health, Environmental and Occupational Health and 3 papers in Reproductive Medicine. Recurrent topics in Shweta Nayak's work include Reproductive Biology and Fertility (3 papers), Ovarian function and disorders (2 papers) and Epigenetics and DNA Methylation (2 papers). Shweta Nayak is often cited by papers focused on Reproductive Biology and Fertility (3 papers), Ovarian function and disorders (2 papers) and Epigenetics and DNA Methylation (2 papers). Shweta Nayak collaborates with scholars based in United States, India and Singapore. Shweta Nayak's co-authors include Anthony N. Wakim, Steffi Oesterreich, Nancy E. Davidson, Rachel C. Jankowitz, Yi Huang, Joseph S. Sanfilippo, Shweta Bhatt, Stacy Cooper Bailey, Dana R. Gossett and Selma F. Witchel and has published in prestigious journals such as Fertility and Sterility, Breast Cancer Research and Journal of Health Communication.

In The Last Decade

Shweta Nayak

9 papers receiving 285 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shweta Nayak United States	7	111	104	100	70	31	9	294
Suzanne Kavic United States	8	94 0.8×	236 2.3×	198 2.0×	80 1.1×	13 0.4×	13	441
Kitty Kapiteijn Netherlands	7	56 0.5×	86 0.8×	40 0.4×	107 1.5×	43 1.4×	9	265
Irene Woo United States	8	33 0.3×	104 1.0×	140 1.4×	97 1.4×	27 0.9×	22	276
Jenna Turocy United States	9	75 0.7×	71 0.7×	64 0.6×	54 0.8×	25 0.8×	14	258
Yukiyo Kumazawa Japan	12	109 1.0×	81 0.8×	136 1.4×	113 1.6×	44 1.4×	33	399
Per-Olof Janson Sweden	9	362 3.3×	163 1.6×	69 0.7×	38 0.5×	15 0.5×	9	602
Valter Feyles Canada	10	84 0.8×	240 2.3×	167 1.7×	229 3.3×	4 0.1×	25	400
Franca Agresta Australia	12	91 0.8×	428 4.1×	416 4.2×	151 2.2×	14 0.5×	38	558
Tommaso Falcone United States	9	57 0.5×	248 2.4×	195 1.9×	57 0.8×	13 0.4×	12	416
Fiona Bruinsma Australia	3	51 0.5×	264 2.5×	180 1.8×	98 1.4×	20 0.6×	3	390

Countries citing papers authored by Shweta Nayak

Since Specialization

Citations

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

Fields of papers citing papers by Shweta Nayak

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shweta Nayak

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

All Works

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9 of 9 papers shown

Nayak, Shweta, et al.. (2021). Effectiveness of Graph Neural Networks for User-User-Item Recommendation Systems. 2021 Third International Conference on Inventive Research in Computing Applications (ICIRCA). 1527–1532. 2 indexed citations

Nayak, Shweta, David N. Boone, Ryan J. Hartmaier, et al.. (2015). A Role for Histone H2B Variants in Endocrine-Resistant Breast Cancer. Hormones and Cancer. 6(5-6). 214–224. 32 indexed citations

Nayak, Shweta, Selma F. Witchel, & Joseph S. Sanfilippo. (2014). Vaginal Foreign Body: A Delayed Diagnosis. Journal of Pediatric and Adolescent Gynecology. 27(6). e127–e129. 28 indexed citations

Gossett, Dana R., Shweta Nayak, Shweta Bhatt, & Stacy Cooper Bailey. (2013). What Do Healthy Women Know about the Consequences of Delayed Childbearing?. Journal of Health Communication. 18(sup1). 118–128. 49 indexed citations

Nayak, Shweta, et al.. (2013). Progesterone level at oocyte retrieval predicts in vitro fertilization success in a short-antagonist protocol: a prospective cohort study. Fertility and Sterility. 101(3). 676–682.e1. 18 indexed citations

Nayak, Shweta, et al.. (2012). Adolescent Gynecology. Clinical Obstetrics & Gynecology. 55(3). 651–661. 6 indexed citations

Nayak, Shweta & Anthony N. Wakim. (2011). Random-start gonadotropin-releasing hormone (GnRH) antagonist–treated cycles with GnRH agonist trigger for fertility preservation. Fertility and Sterility. 96(1). e51–e54. 50 indexed citations

Huang, Yi, Shweta Nayak, Rachel C. Jankowitz, Nancy E. Davidson, & Steffi Oesterreich. (2011). Epigenetics in breast cancer: what's new?. Breast Cancer Research. 13(6). 225–225. 99 indexed citations

Nayak, Shweta, Mary Ellen Pavone, Magdy P. Milad, & Ralph R. Kazer. (2011). Aneuploidy Rates in Failed Pregnancies Following Assisted Reproductive Technology. Journal of Women s Health. 20(8). 1239–1243. 10 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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