Priya Umapathi

1.3k total citations
19 papers, 966 citations indexed

About

Priya Umapathi is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, Priya Umapathi has authored 19 papers receiving a total of 966 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Cardiology and Cardiovascular Medicine and 6 papers in Surgery. Recurrent topics in Priya Umapathi's work include Cardiovascular Function and Risk Factors (4 papers), Glycosylation and Glycoproteins Research (3 papers) and Carbohydrate Chemistry and Synthesis (3 papers). Priya Umapathi is often cited by papers focused on Cardiovascular Function and Risk Factors (4 papers), Glycosylation and Glycoproteins Research (3 papers) and Carbohydrate Chemistry and Synthesis (3 papers). Priya Umapathi collaborates with scholars based in United States, India and Italy. Priya Umapathi's co-authors include Brian K. Kaspar, Fred H. Gage, Daniel R. Boué, Chris Shilling, Paul T. Martin, Jerry R. Mendell, Zarife Sahenk, Amanda M. Haidet, Chalonda R. Handy and Mark E. Anderson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.

In The Last Decade

Priya Umapathi

15 papers receiving 951 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Priya Umapathi United States 11 566 208 203 191 109 19 966
Gaël Genet United States 12 445 0.8× 137 0.7× 94 0.5× 61 0.3× 106 1.0× 19 889
Enming J. Su United States 19 491 0.9× 81 0.4× 180 0.9× 157 0.8× 104 1.0× 36 1.4k
Harold Thibodeaux United States 15 491 0.9× 119 0.6× 151 0.7× 188 1.0× 93 0.9× 25 1.3k
Arnaud Bocquet France 14 316 0.6× 70 0.3× 205 1.0× 130 0.7× 116 1.1× 24 900
Sari Kiuru‐Enari Finland 20 1.1k 1.9× 108 0.5× 131 0.6× 186 1.0× 305 2.8× 44 1.3k
Paolo Madeddu United Kingdom 21 705 1.2× 286 1.4× 35 0.2× 268 1.4× 116 1.1× 31 1.3k
Chanil Moon South Korea 14 327 0.6× 194 0.9× 78 0.4× 171 0.9× 117 1.1× 25 967
Hiroyuki Awano Japan 21 1.2k 2.1× 320 1.5× 53 0.3× 306 1.6× 156 1.4× 125 1.5k
Toshinori Takagi Japan 19 316 0.6× 146 0.7× 322 1.6× 66 0.3× 76 0.7× 53 1.0k
Dan Chalothorn United States 16 581 1.0× 48 0.2× 64 0.3× 121 0.6× 135 1.2× 20 970

Countries citing papers authored by Priya Umapathi

Since Specialization
Citations

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

Fields of papers citing papers by Priya Umapathi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Priya Umapathi

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

All Works

19 of 19 papers shown
1.
Vest, Amanda R., et al.. (2025). Body Composition and Treatment Response in Heart Failure With Preserved Ejection Fraction. Journal of the American College of Cardiology. 86(16). 1256–1259.
2.
Nikolova, Andriana, Lavanya Bellumkonda, Anju Bhardwaj, et al.. (2025). Practical Guide on the Use of Induction Immunosuppression in Heart Transplantation. Circulation Heart Failure. 18(10). e012382–e012382.
3.
Umapathi, Priya, et al.. (2024). The multifaceted role of intracellular glycosylation in cytoprotection and heart disease. Journal of Biological Chemistry. 300(6). 107296–107296. 8 indexed citations
4.
Reeves, Russell A., Akanksha Aggarwal, Robert N. O’Meally, et al.. (2023). Differential Detection of O-GlcNAcylated proteins in the heart using antibodies. Analytical Biochemistry. 678. 115262–115262. 5 indexed citations
5.
Gaido, Oscar E. Reyes, Lubika J. Nkashama, Qinchuan Wang, et al.. (2022). CaMKII as a Therapeutic Target in Cardiovascular Disease. The Annual Review of Pharmacology and Toxicology. 63(1). 249–272. 75 indexed citations
6.
Avery, Robin K., et al.. (2022). Risks of paxlovid in a heart transplant recipient. The Journal of Heart and Lung Transplantation. 42(1). 30–32. 9 indexed citations
7.
Umapathi, Priya, Olurotimi Mesubi, P. S. Banerjee, et al.. (2021). Excessive O -GlcNAcylation Causes Heart Failure and Sudden Death. Circulation. 143(17). 1687–1703. 90 indexed citations
8.
Scheel, Paul J., Katherine Giuliano, Crystal Tichnell, et al.. (2021). Heart Transplantation Strategies in Arrhythmogenic Right Ventricular Cardiomyopathy: A Tertiary ARVC Centre Experience. ESC Heart Failure. 9(2). 1008–1017. 12 indexed citations
9.
Luczak, Elizabeth D., Yuejin Wu, Jonathan Granger, et al.. (2020). Mitochondrial CaMKII causes adverse metabolic reprogramming and dilated cardiomyopathy. Nature Communications. 11(1). 4416–4416. 73 indexed citations
10.
Umapathi, Priya, et al.. (2018). CLINICAL STUDY AND MANAGEMENT OF PERITONITIS SECONDARY TO HOLLOW VISCOUS PERFORATION. Journal of Evolution of Medical and Dental Sciences. 7(36). 3974–3978. 1 indexed citations
11.
Kianoush, Sina, Mahmoud Al Rifai, Miguel Cainzos‐Achirica, et al.. (2016). An Update on the Utility of Coronary Artery Calcium Scoring for Coronary Heart Disease and Cardiovascular Disease Risk Prediction. Current Atherosclerosis Reports. 18(3). 13–13. 20 indexed citations
12.
Sciarretta, Sebastiano, V. Subbarao Boppana, Priya Umapathi, Giacomo Frati, & Junichi Sadoshima. (2015). Boosting autophagy in the diabetic heart: a translational perspective.. PubMed. 5(5). 394–402. 39 indexed citations
13.
Senthilvelan, M., et al.. (2014). A Case of Vascular Malformation of the Neck. Indian Journal of Surgery. 77(S1). 72–74.
15.
Xin, Xiaoban, Murilo Wendeborn Rodrigues, Priya Umapathi, et al.. (2013). Hypoxic retinal Müller cells promote vascular permeability by HIF-1–dependent up-regulation of angiopoietin-like 4. Proceedings of the National Academy of Sciences. 110(36). E3425–34. 139 indexed citations
16.
Haidet, Amanda M., Chalonda R. Handy, Priya Umapathi, et al.. (2008). Long-term enhancement of skeletal muscle mass and strength by single gene administration of myostatin inhibitors. Proceedings of the National Academy of Sciences. 105(11). 4318–4322. 222 indexed citations
17.
Miller, Timothy M., Soo Hyung Kim, Koji Yamanaka, et al.. (2006). Gene transfer demonstrates that muscle is not a primary target for non-cell-autonomous toxicity in familial amyotrophic lateral sclerosis. Proceedings of the National Academy of Sciences. 103(51). 19546–19551. 130 indexed citations
18.
Kaspar, Brian K., et al.. (2005). Synergy of insulin‐like growth factor‐1 and exercise in amyotrophic lateral sclerosis. Annals of Neurology. 57(5). 649–655. 119 indexed citations
19.
Chew, Nee Kong, et al.. (2001). Delayed post-irradiation bulbar palsy in nasopharyngeal carcinoma. Neurology. 57(3). 529–531. 24 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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