Arpita Vyas

933 total citations
33 papers, 654 citations indexed

About

Arpita Vyas is a scholar working on Pediatrics, Perinatology and Child Health, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Arpita Vyas has authored 33 papers receiving a total of 654 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Pediatrics, Perinatology and Child Health, 7 papers in Molecular Biology and 7 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Arpita Vyas's work include Birth, Development, and Health (9 papers), Effects and risks of endocrine disrupting chemicals (5 papers) and Pregnancy and preeclampsia studies (3 papers). Arpita Vyas is often cited by papers focused on Birth, Development, and Health (9 papers), Effects and risks of endocrine disrupting chemicals (5 papers) and Pregnancy and preeclampsia studies (3 papers). Arpita Vyas collaborates with scholars based in United States, India and United Kingdom. Arpita Vyas's co-authors include Dinesh Vyas, Vasantha Padmanabhan, Jay B. Shah, Isoken Olomu, Pallavi Singh, Martha H. Mulks, Robert A. Long, Michael A. Wood, Denise Soltow Hershey and Sheba M.J. MohanKumar and has published in prestigious journals such as PLoS ONE, PEDIATRICS and Cancer Research.

In The Last Decade

Arpita Vyas

30 papers receiving 642 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arpita Vyas United States 14 132 124 115 72 71 33 654
Dongxin Lin China 16 262 2.0× 78 0.6× 211 1.8× 26 0.4× 45 0.6× 55 864
Heather E. Bryant Canada 18 90 0.7× 81 0.7× 86 0.7× 25 0.3× 30 0.4× 41 1.1k
B. Téhard France 14 97 0.7× 55 0.4× 39 0.3× 47 0.7× 15 0.2× 28 799
Hanım Güler Şahin Türkiye 16 33 0.3× 98 0.8× 229 2.0× 49 0.7× 23 0.3× 59 837
Adel Zaki Egypt 14 77 0.6× 130 1.0× 62 0.5× 114 1.6× 28 0.4× 50 716
Céline Bourdon Canada 18 279 2.1× 68 0.5× 192 1.7× 70 1.0× 64 0.9× 50 927
Sudha Prasad India 16 98 0.7× 78 0.6× 162 1.4× 69 1.0× 10 0.1× 57 813
Bohumír Procházka Czechia 17 88 0.7× 151 1.2× 22 0.2× 33 0.5× 88 1.2× 53 848
Shalini Singh India 13 49 0.4× 59 0.5× 199 1.7× 18 0.3× 28 0.4× 79 613
Recep Yıldızhan Türkiye 20 66 0.5× 93 0.8× 275 2.4× 107 1.5× 23 0.3× 76 1.3k

Countries citing papers authored by Arpita Vyas

Since Specialization
Citations

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

Fields of papers citing papers by Arpita Vyas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arpita Vyas

This figure shows the co-authorship network connecting the top 25 collaborators of Arpita Vyas. A scholar is included among the top collaborators of Arpita Vyas 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 Arpita Vyas. Arpita Vyas 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.
2.
Padmanabhan, Vasantha, et al.. (2025). Sexually dimorphic cardiovascular impacts of prenatal exposure to a real-life environmental chemical mixture in adult offspring. Environmental Toxicology and Pharmacology. 115. 104669–104669.
3.
Thangaraj, Soundara Viveka, Haijing Sun, Arpita Vyas, et al.. (2024). Developmental programming: An exploratory analysis of pancreatic islet compromise in female sheep resulting from gestational BPA exposure. Molecular and Cellular Endocrinology. 588. 112202–112202. 3 indexed citations
4.
5.
Padmanabhan, Vasantha, et al.. (2022). Sexual dimorphism in testosterone programming of cardiomyocyte development in sheep. American Journal of Physiology-Heart and Circulatory Physiology. 322(4). H607–H621. 9 indexed citations
6.
Vyas, Arpita & Lavi Oud. (2021). Temporal patterns of hospitalizations for diabetic ketoacidosis in children and adolescents. PLoS ONE. 16(1). e0245012–e0245012. 4 indexed citations
7.
Vyas, Arpita, et al.. (2021). Sex-Specific Impacts of Exercise on Cardiovascular Remodeling. Journal of Clinical Medicine. 10(17). 3833–3833. 16 indexed citations
8.
Menon, Ram K., et al.. (2020). Liddle Syndrome due to a Novel c.1713 Deletion in the Epithelial Sodium Channel β-Subunit in a Normotensive Adolescent. AACE Clinical Case Reports. 7(1). 65–68. 4 indexed citations
9.
Olomu, Isoken, et al.. (2020). Elimination of “kitome” and “splashome” contamination results in lack of detection of a unique placental microbiome. BMC Microbiology. 20(1). 157–157. 95 indexed citations
10.
Vyas, Arpita, et al.. (2019). Variation in Utilization of Intensive Care for Pediatric Diabetic Ketoacidosis. Journal of Intensive Care Medicine. 35(11). 1314–1322. 2 indexed citations
11.
Vyas, Arpita, et al.. (2019). Harnessing the potential of gene editing technology using CRISPR in inflammatory bowel disease. World Journal of Gastroenterology. 25(18). 2177–2187. 10 indexed citations
12.
Vyas, Arpita, Almudena Veiga-López, Wen Ye, et al.. (2019). Developmental programming: Sex‐specific programming of growth upon prenatal bisphenol A exposure. Journal of Applied Toxicology. 39(11). 1516–1531. 16 indexed citations
13.
Holtz, Bree, Denise Soltow Hershey, Shelia R. Cotten, et al.. (2017). Developing a Patient-Centered mHealth App: A Tool for Adolescents With Type 1 Diabetes and Their Parents. JMIR mhealth and uhealth. 5(4). e53–e53. 57 indexed citations
14.
MohanKumar, Sheba M.J., Arpita Vyas, Ninitha Asirvatham‐Jeyaraj, et al.. (2016). Effects of prenatal bisphenol-A exposure and postnatal overfeeding on cardiovascular function in female sheep. Journal of Developmental Origins of Health and Disease. 8(1). 65–74. 28 indexed citations
15.
Vyas, Arpita, et al.. (2016). Prenatal programming: adverse cardiac programming by gestational testosterone excess. Scientific Reports. 6(1). 28335–28335. 40 indexed citations
16.
Hollis, Michael, et al.. (2015). Prehospital trauma care education for first responders in India. Journal of Surgical Research. 197(2). 331–338. 26 indexed citations
17.
Bi, Jiangjiang, et al.. (2015). Liraglutide Improves Hypertension and Metabolic Perturbation in a Rat Model of Polycystic Ovarian Syndrome. PLoS ONE. 10(5). e0126119–e0126119. 26 indexed citations
18.
Saadeh, Yamaan S., et al.. (2014). Applications of Nanomedicine in Breast Cancer Detection, Imaging, and Therapy. Journal of Nanoscience and Nanotechnology. 14(1). 913–923. 19 indexed citations
19.
Vyas, Dinesh, et al.. (2012). Mesothelioma as a rapidly developing Giant Abdominal Cyst. World Journal of Surgical Oncology. 10(1). 277–277. 13 indexed citations
20.
Bordia, A, et al.. (1977). The effective of active principle of garlic and onion on blood lipids and experimental atherosclerosis in rabbits and their comparison with clofibrate.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 25(8). 509–16. 22 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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