V Sathiyapriya

491 total citations
23 papers, 358 citations indexed

About

V Sathiyapriya is a scholar working on Clinical Biochemistry, Endocrinology, Diabetes and Metabolism and Physiology. According to data from OpenAlex, V Sathiyapriya has authored 23 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Clinical Biochemistry, 9 papers in Endocrinology, Diabetes and Metabolism and 7 papers in Physiology. Recurrent topics in V Sathiyapriya's work include Advanced Glycation End Products research (9 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers) and Biochemical effects in animals (5 papers). V Sathiyapriya is often cited by papers focused on Advanced Glycation End Products research (9 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers) and Biochemical effects in animals (5 papers). V Sathiyapriya collaborates with scholars based in India and United States. V Sathiyapriya's co-authors include Zachariah Bobby, N. Selvaraj, Hanumanthappa Nandeesha, Nethaji Muniraj, Aradhana M. Venkatesan, Sheetal Parida, Madanmohan Trakroo, Hanumanthappa Nandeesha, Krishnan Ramalingam and N. Selvaraj and has published in prestigious journals such as Journal of Periodontology, Clinica Chimica Acta and Cancers.

In The Last Decade

V Sathiyapriya

23 papers receiving 333 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
V Sathiyapriya India 13 124 80 63 62 52 23 358
Nikica Car Croatia 10 94 0.8× 40 0.5× 60 1.0× 63 1.0× 77 1.5× 24 327
Ruhan Jia China 11 84 0.7× 146 1.8× 35 0.6× 43 0.7× 41 0.8× 31 426
Mihoko Matsumura Japan 10 198 1.6× 109 1.4× 41 0.7× 65 1.0× 34 0.7× 17 404
Şenay Topsakal Türkiye 11 115 0.9× 64 0.8× 37 0.6× 48 0.8× 25 0.5× 49 360
Sara Cherchi Italy 8 77 0.6× 78 1.0× 40 0.6× 53 0.9× 21 0.4× 13 341
F. Liu United States 6 99 0.8× 114 1.4× 110 1.7× 27 0.4× 46 0.9× 8 344
Adeel Ijaz United States 5 69 0.6× 149 1.9× 59 0.9× 47 0.8× 59 1.1× 8 459
Maria Knapik‐Kordecka Poland 12 98 0.8× 115 1.4× 82 1.3× 64 1.0× 113 2.2× 26 437
Mohsen Firoozrai Iran 14 118 1.0× 65 0.8× 121 1.9× 95 1.5× 45 0.9× 42 424
Valeria Berruti Italy 9 93 0.8× 71 0.9× 161 2.6× 32 0.5× 75 1.4× 11 427

Countries citing papers authored by V Sathiyapriya

Since Specialization
Citations

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

Fields of papers citing papers by V Sathiyapriya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V Sathiyapriya

This figure shows the co-authorship network connecting the top 25 collaborators of V Sathiyapriya. A scholar is included among the top collaborators of V Sathiyapriya 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 V Sathiyapriya. V Sathiyapriya 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.
Malla, Rama Rao, et al.. (2024). Revitalizing Cancer Treatment: Exploring the Role of Drug Repurposing. Cancers. 16(8). 1463–1463. 17 indexed citations
2.
Sathiyapriya, V, et al.. (2023). Association of salivary levels of DNA sensing inflammasomes AIM2, IFI16, and cytokine IL18 with periodontitis and diabetes. Journal of Periodontology. 95(2). 114–124. 8 indexed citations
3.
Sathiyapriya, V, et al.. (2023). Role of Gut Microbiota in Breast Cancer and Drug Resistance. Pathogens. 12(3). 468–468. 36 indexed citations
4.
Sathiyapriya, V, et al.. (2023). A pilot study on effect of intravenous iron sucrose on oxidative stress and antioxidant status of pregnant women with iron deficiency anemia. Indian Journal of Medical Sciences. 75. 9–11. 2 indexed citations
5.
Sathiyapriya, V, et al.. (2012). Possible Modulation of Glycated Protein Levels in Prehypertension by Lipid Peroxides. Clinical and Experimental Hypertension. 34(7). 517–522. 3 indexed citations
6.
Sathiyapriya, V, et al.. (2012). Elevated Glutathione Peroxidase in Newly Diagnosed Hypertension: Its Relation to Insulin Resistance. Clinical and Experimental Hypertension. 35(3). 195–199. 3 indexed citations
7.
Sathiyapriya, V, et al.. (2010). Protein glycation, insulin sensitivity and pancreatic beta cell function in high-risk, non-diabetic, first degree relatives of patients with type 2 diabetes.. PubMed. 53(2). 163–8. 6 indexed citations
8.
Nandeesha, Hanumanthappa, et al.. (2008). Short-Term Heart Variability and Oxidative Stress in Newly Diagnosed Essential Hypertension. Clinical and Experimental Hypertension. 30(7). 486–496. 28 indexed citations
9.
10.
Sathiyapriya, V, et al.. (2008). Association between Protein Bound Sialic Acid and High Sensitivity C-Reactive Protein in Prehypertension: A Possible Indication of Underlying Cardiovascular Risk. Clinical and Experimental Hypertension. 30(5). 367–374. 16 indexed citations
11.
Venkatesan, Aradhana M., et al.. (2007). Effect of smoking on lipid profile and lipid peroxidation in normal subjects.. PubMed. 50(3). 273–8. 27 indexed citations
12.
Sathiyapriya, V, et al.. (2007). Enhanced Glycation of Hemoglobin and Plasma Proteins Is Associated with Increased Lipid Peroxide Levels in Non-Diabetic Hypertensive Subjects. Archives of Medical Research. 38(8). 822–826. 14 indexed citations
13.
Sridhar, M, et al.. (2007). Oxidative stress varies with the mode of delivery in intrauterine growth retardation: Association with Apgar score. Clinical Biochemistry. 40(9-10). 688–691. 15 indexed citations
14.
Venkatesan, Aradhana M., et al.. (2007). Nonenzymatic glycation of plasma proteins in smokers.. PubMed. 50(4). 403–8. 2 indexed citations
15.
Bobby, Zachariah, et al.. (2007). Altered oxidant-antioxidant status in non-obese men with moderate essential hypertension. Indian Journal of Medical Sciences. 61(6). 326–326. 14 indexed citations
16.
Sathiyapriya, V, et al.. (2007). Perturbation of erythrocyte antioxidant barrier, lipid peroxidation and protein carbonylation in non-diabetic first degree relatives of patients with type 2 diabetes. Diabetes Research and Clinical Practice. 78(2). 171–175. 13 indexed citations
17.
Sathiyapriya, V, et al.. (2007). Increased glycation of hemoglobin and plasma proteins in normotensive, non-diabetic obese Indian subjects: putative role of lipid peroxides. Clinical Chemistry and Laboratory Medicine (CCLM). 45(8). 8 indexed citations
18.
Sathiyapriya, V, et al.. (2006). Insulin resistance and enhanced protein glycation in men with prehypertension. Clinical Chemistry and Laboratory Medicine (CCLM). 44(12). 1457–61. 11 indexed citations
19.
Sathiyapriya, V, et al.. (2005). Evidence for the role of lipid peroxides on glycation of hemoglobin and plasma proteins in non-diabetic asthma patients. Clinica Chimica Acta. 366(1-2). 299–303. 25 indexed citations
20.
Selvaraj, N., Zachariah Bobby, & V Sathiyapriya. (2005). Effect of lipid peroxides and antioxidants on glycation of hemoglobin: An in vitro study on human erythrocytes. Clinica Chimica Acta. 366(1-2). 190–195. 71 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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