Arpita Vyas

779 total citations
22 papers, 616 citations indexed

About

Arpita Vyas is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health and Oncology. According to data from OpenAlex, Arpita Vyas has authored 22 papers receiving a total of 616 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Pediatrics, Perinatology and Child Health and 6 papers in Oncology. Recurrent topics in Arpita Vyas's work include Birth, Development, and Health (5 papers), Pregnancy and preeclampsia studies (2 papers) and Cannabis and Cannabinoid Research (2 papers). Arpita Vyas is often cited by papers focused on Birth, Development, and Health (5 papers), Pregnancy and preeclampsia studies (2 papers) and Cannabis and Cannabinoid Research (2 papers). Arpita Vyas collaborates with scholars based in United States and Taiwan. Arpita Vyas's co-authors include Dinesh Vyas, Paul W. Hruz, Anatoly Tzekov, Michael Hollis, Sahil Gambhir, Joseph C. Koster, Patrick Y. Jay, Attila Kovács, Kai‐Chien Yang and Neil H. White and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Arpita Vyas

22 papers receiving 604 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Arpita Vyas United States	11	222	174	88	87	83	22	616
Mengqi Gao China	11	201 0.9×	155 0.9×	105 1.2×	73 0.8×	79 1.0×	27	725
Xuan Zheng China	16	153 0.7×	174 1.0×	109 1.2×	90 1.0×	45 0.5×	49	766
Hsin‐Han Hou Taiwan	16	230 1.0×	67 0.4×	60 0.7×	87 1.0×	69 0.8×	39	656
Ewa Aleksandrowicz Poland	16	249 1.1×	115 0.7×	100 1.1×	102 1.2×	112 1.3×	27	713
Georgia Sofia Karachaliou United States	11	254 1.1×	153 0.9×	34 0.4×	144 1.7×	86 1.0×	28	739
Sarra Setrerrahmane China	10	412 1.9×	213 1.2×	145 1.6×	75 0.9×	145 1.7×	15	1.0k
Preeti Kanikarla Marie United States	16	260 1.2×	224 1.3×	118 1.3×	51 0.6×	121 1.5×	28	803
Bhupesh Singla United States	19	303 1.4×	110 0.6×	57 0.6×	93 1.1×	97 1.2×	52	940
Simona D’Amore Italy	16	266 1.2×	149 0.9×	60 0.7×	143 1.6×	110 1.3×	56	752

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

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20 of 20 papers shown

Davis, Shanlee, Patricia Y. Fechner, Anna Furniss, et al.. (2024). Multicenter Analysis of Cardiometabolic-Related Diagnoses in Youth With Congenital Adrenal Hyperplasia: A PEDSnet Study. The Journal of Clinical Endocrinology & Metabolism. 110(4). e1009–e1016. 1 indexed citations

Halloran, Katherine M, et al.. (2024). Developmental programming: Testosterone excess masculinizes female pancreatic transcriptome and function in sheep. Molecular and Cellular Endocrinology. 588. 112234–112234. 5 indexed citations

Padmanabhan, Vasantha, et al.. (2024). Early- to mid-gestational testosterone excess leads to adverse cardiac outcomes in postpartum sheep. American Journal of Physiology-Heart and Circulatory Physiology. 327(2). H315–H330. 1 indexed citations

Saadat, Nadia, et al.. (2024). Gestational testosterone excess early to mid-pregnancy disrupts maternal lipid homeostasis and activates biosynthesis of phosphoinositides and phosphatidylethanolamines in sheep. Scientific Reports. 14(1). 6230–6230. 3 indexed citations

Thangaraj, Soundara Viveka, et al.. (2024). Comparative lipidome study of maternal plasma, milk, and lamb plasma in sheep. Scientific Reports. 14(1). 7401–7401. 2 indexed citations

Padmanabhan, Vasantha, et al.. (2023). Impact of Adverse Gestational Milieu on Maternal Cardiovascular Health. Endocrinology. 164(6). 5 indexed citations

Vyas, Arpita, et al.. (2022). Impact of maternal substance use on offspring's cardiovascular health.. Toxicology and Applied Pharmacology. 450. 116164–116164. 1 indexed citations

Olomu, Isoken, et al.. (2017). The Influence of Gestational Diabetes on Placental Microbiome. Placenta. 57. 308–308. 1 indexed citations

Vyas, Arpita, et al.. (2016). Pharmacological cyclin dependent kinase inhibitors: Implications for colorectal cancer. World Journal of Gastroenterology. 22(7). 2159–2164. 20 indexed citations

10.

Gambhir, Sahil, et al.. (2015). Nuclear factor kappa B role in inflammation associated gastrointestinal malignancies. World Journal of Gastroenterology. 21(11). 3174–3183. 94 indexed citations

11.

Vyas, Arpita, et al.. (2015). Clustered Regularly Interspaced Short Palindromic Repeats/Cas9 Genetic Engineering: Robotic Genetic Surgery. PubMed. 2(1). 49–52. 14 indexed citations

12.

Vyas, Dinesh, et al.. (2015). Strategically Leapfrogging Education in Prehospital Trauma Management: Four-Tiered Training Protocols. PubMed. 2(1). 9–15. 4 indexed citations

13.

Vyas, Dinesh, et al.. (2015). The Value of the <I>P</I> Value. PubMed. 2(1). 53–56. 3 indexed citations

14.

Vyas, Dinesh, Mohammad H. El‐Dakdouki, Marc D. Basson, et al.. (2015). Doxorubicin-Hyaluronan Conjugated Super-Paramagnetic Iron Oxide Nanoparticles (DOX-HA-SPION) Enhanced Cytoplasmic Uptake of Doxorubicin and Modulated Apoptosis, IL-6 Release and NF-kappaB Activity in Human MDA-MB-231 Breast Cancer Cells. Journal of Nanoscience and Nanotechnology. 15(9). 6413–6422. 32 indexed citations

15.

Vyas, Dinesh, et al.. (2014). Chemotherapy-enhanced inflammation may lead to the failure of therapy and metastasis. OncoTargets and Therapy. 7. 1015–1015. 256 indexed citations

16.

Vyas, Arpita, et al.. (2012). Saxagliptin improves glucose tolerance but not survival in a murine model of dilated cardiomyopathy. PubMed. 1(4). 74–82. 11 indexed citations

17.

Vyas, Arpita, Kai‐Chien Yang, Anatoly Tzekov, et al.. (2011). Exenatide Improves Glucose Homeostasis and Prolongs Survival in a Murine Model of Dilated Cardiomyopathy. PLoS ONE. 6(2). e17178–e17178. 54 indexed citations

18.

Remedi, Marı́a S., Sophia Agapova, Arpita Vyas, Paul W. Hruz, & Colin G. Nichols. (2011). Acute Sulfonylurea Therapy at Disease Onset Can Cause Permanent Remission of KATP-Induced Diabetes. Diabetes. 60(10). 2515–2522. 27 indexed citations

19.

Vyas, Arpita & Neil H. White. (2011). Case of Hypercalcemia Secondary to Hypervitaminosis A in a 6-Year-Old Boy with Autism. SHILAP Revista de lepidopterología. 2011. 1–5. 15 indexed citations

20.

Vyas, Arpita, Joseph C. Koster, Anatoly Tzekov, & Paul W. Hruz. (2010). Effects of the HIV Protease Inhibitor Ritonavir on GLUT4 Knock-out Mice. Journal of Biological Chemistry. 285(47). 36395–36400. 50 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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