Sandhya Khurana

1.4k total citations
26 papers, 1.1k citations indexed

About

Sandhya Khurana is a scholar working on Pediatrics, Perinatology and Child Health, Molecular Biology and Behavioral Neuroscience. According to data from OpenAlex, Sandhya Khurana has authored 26 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Pediatrics, Perinatology and Child Health, 6 papers in Molecular Biology and 6 papers in Behavioral Neuroscience. Recurrent topics in Sandhya Khurana's work include Birth, Development, and Health (9 papers), Stress Responses and Cortisol (6 papers) and Hormonal Regulation and Hypertension (5 papers). Sandhya Khurana is often cited by papers focused on Birth, Development, and Health (9 papers), Stress Responses and Cortisol (6 papers) and Hormonal Regulation and Hypertension (5 papers). Sandhya Khurana collaborates with scholars based in Canada, United States and Switzerland. Sandhya Khurana's co-authors include T.C. Tai, Krishnan Venkataraman, Matthew Piché, Markus Thali, Dimitry N. Krementsov, Michelangelo Foti, Aseem Kumar, Sujeenthar Tharmalingam, Nathan H. Roy and Jia Weng and has published in prestigious journals such as The Journal of Experimental Medicine, The Journal of Cell Biology and PLoS ONE.

In The Last Decade

Sandhya Khurana

24 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sandhya Khurana Canada 15 340 196 176 167 116 26 1.1k
Esther Rodríguez‐Gallego Spain 23 596 1.8× 114 0.6× 140 0.8× 133 0.8× 224 1.9× 60 1.4k
Lixia Tang China 13 257 0.8× 154 0.8× 59 0.3× 22 0.1× 67 0.6× 23 788
Michael Rouse United States 15 527 1.6× 275 1.4× 49 0.3× 27 0.2× 132 1.1× 20 1.2k
Riccardo Ortolani Italy 22 144 0.4× 228 1.2× 15 0.1× 64 0.4× 152 1.3× 49 1.1k
Khadija El Hadri France 23 1.3k 3.7× 385 2.0× 53 0.3× 41 0.2× 328 2.8× 30 1.9k
Gi Soo Youn South Korea 18 681 2.0× 196 1.0× 57 0.3× 36 0.2× 153 1.3× 34 1.2k
Yoshihisa Ishikawa United Kingdom 15 470 1.4× 127 0.6× 35 0.2× 87 0.5× 73 0.6× 24 997
Abdelkrim Khadir Kuwait 21 415 1.2× 128 0.7× 18 0.1× 46 0.3× 299 2.6× 40 1.2k
Qing-Yu Zhang United States 25 642 1.9× 91 0.5× 11 0.1× 41 0.2× 77 0.7× 47 1.6k
Ha Yong Song South Korea 15 429 1.3× 115 0.6× 96 0.5× 30 0.2× 99 0.9× 19 844

Countries citing papers authored by Sandhya Khurana

Since Specialization
Citations

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

Fields of papers citing papers by Sandhya Khurana

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sandhya Khurana

This figure shows the co-authorship network connecting the top 25 collaborators of Sandhya Khurana. A scholar is included among the top collaborators of Sandhya Khurana 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 Sandhya Khurana. Sandhya Khurana 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.
Khurana, Sandhya, Sujeenthar Tharmalingam, Joanna Y. Wilson, et al.. (2023). Absence of Depressive and Anxious Behavior with Genetic Dysregulation in Adult C57Bl/6J Mice after Prenatal Exposure to Ionizing Radiation. International Journal of Molecular Sciences. 24(10). 8466–8466. 1 indexed citations
2.
Tharmalingam, Sujeenthar, et al.. (2022). Effect of Prenatal Glucocorticoid Exposure on Circadian Rhythm Gene Expression in the Brains of Adult Rat Offspring. Cells. 11(10). 1613–1613. 7 indexed citations
3.
LaMothe, Jeremy M., Sandhya Khurana, Sujeenthar Tharmalingam, et al.. (2021). Oxidative Stress Mediates the Fetal Programming of Hypertension by Glucocorticoids. Antioxidants. 10(4). 531–531. 38 indexed citations
4.
Tharmalingam, Sujeenthar, et al.. (2020). Whole transcriptome analysis of adrenal glands from prenatal glucocorticoid programmed hypertensive rodents. Scientific Reports. 10(1). 18755–18755. 12 indexed citations
5.
6.
LaMothe, Jeremy M., Sandhya Khurana, Sujeenthar Tharmalingam, et al.. (2020). The Role of DNMT and HDACs in the Fetal Programming of Hypertension by Glucocorticoids. Oxidative Medicine and Cellular Longevity. 2020. 1–17. 23 indexed citations
7.
8.
Khurana, Sandhya, et al.. (2019). Fetal programming of adrenal PNMT and hypertension by glucocorticoids in WKY rats is dose and sex-dependent. PLoS ONE. 14(9). e0221719–e0221719. 21 indexed citations
9.
Khurana, Sandhya, et al.. (2018). Inflammatory Signaling in Hypertension: Regulation of Adrenal Catecholamine Biosynthesis. Frontiers in Endocrinology. 9. 343–343. 34 indexed citations
10.
Khurana, Sandhya, et al.. (2017). Phenylethanolamine N-methyltransferase gene expression in PC12 cells exposed to intermittent hypoxia. Neuroscience Letters. 666. 169–174. 6 indexed citations
11.
Khurana, Sandhya, et al.. (2016). Phenylethanolamine N-methyltransferase gene expression in adrenergic neurons of spontaneously hypertensive rats. Neuroscience Letters. 635. 103–110. 9 indexed citations
12.
Nguyen, Phong, et al.. (2015). Prenatal glucocorticoid exposure programs adrenal PNMT expression and adult hypertension. Journal of Endocrinology. 227(2). 117–127. 27 indexed citations
13.
Khurana, Sandhya, et al.. (2015). Cardiac phenylethanolamine N-methyltransferase: localization and regulation of gene expression in the spontaneously hypertensive rat. Canadian Journal of Physiology and Pharmacology. 94(4). 363–372. 7 indexed citations
14.
Khurana, Sandhya, Matthew Piché, Krishnan Venkataraman, et al.. (2014). Antiapoptotic Actions of Methyl Gallate on Neonatal Rat Cardiac Myocytes Exposed to H2O2. Oxidative Medicine and Cellular Longevity. 2014. 1–9. 32 indexed citations
15.
Khurana, Sandhya, et al.. (2013). Polyphenols: Benefits to the Cardiovascular System in Health and in Aging. Nutrients. 5(10). 3779–3827. 333 indexed citations
16.
Khurana, Sandhya, et al.. (2013). Oxidative stress and cardiovascular health: therapeutic potential of polyphenols. Canadian Journal of Physiology and Pharmacology. 91(3). 198–212. 41 indexed citations
17.
Weng, Jia, Dimitry N. Krementsov, Sandhya Khurana, Nathan H. Roy, & Markus Thali. (2009). Formation of Syncytia Is Repressed by Tetraspanins in Human Immunodeficiency Virus Type 1-Producing Cells. Journal of Virology. 83(15). 7467–7474. 72 indexed citations
18.
Singethan, Katrin, Nora Müller, Sabine Schubert, et al.. (2008). CD9 Clustering and Formation of Microvilli Zippers Between Contacting Cells Regulates Virus‐Induced Cell Fusion. Traffic. 9(6). 924–935. 34 indexed citations
19.
Khurana, Sandhya, Dimitry N. Krementsov, Aymeric de Parseval, et al.. (2007). Human Immunodeficiency Virus Type 1 and Influenza Virus Exit via Different Membrane Microdomains. Journal of Virology. 81(22). 12630–12640. 37 indexed citations
20.
Khurana, Sandhya, et al.. (2006). Mapping of tetraspanin-enriched microdomains that can function as gateways for HIV-1. The Journal of Experimental Medicine. 203(6). i16–i16. 4 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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