Uday Kumar Putcha

1.0k total citations
38 papers, 831 citations indexed

About

Uday Kumar Putcha is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology and Pathology and Forensic Medicine. According to data from OpenAlex, Uday Kumar Putcha has authored 38 papers receiving a total of 831 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Endocrinology, Diabetes and Metabolism, 11 papers in Epidemiology and 8 papers in Pathology and Forensic Medicine. Recurrent topics in Uday Kumar Putcha's work include Liver Disease Diagnosis and Treatment (9 papers), Diet, Metabolism, and Disease (9 papers) and Fatty Acid Research and Health (4 papers). Uday Kumar Putcha is often cited by papers focused on Liver Disease Diagnosis and Treatment (9 papers), Diet, Metabolism, and Disease (9 papers) and Fatty Acid Research and Health (4 papers). Uday Kumar Putcha collaborates with scholars based in India, Singapore and United States. Uday Kumar Putcha's co-authors include Madhusudana Kuncha, Ramakrishna Sistla, Bidya Dhar Sahu, Manchala Raghunath, S. Banerjee, Jitendra Kumar Sinha, Shampa Ghosh, Shanmugam M. Jeyakumar, Tarak Nath Khatua and Abhinav Kanwal and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Uday Kumar Putcha

37 papers receiving 822 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Uday Kumar Putcha India 17 236 161 147 140 119 38 831
Alireza Shirpoor Iran 18 199 0.8× 100 0.6× 108 0.7× 110 0.8× 67 0.6× 58 876
Rehab Ahmed Rifaai Egypt 17 268 1.1× 144 0.9× 103 0.7× 144 1.0× 74 0.6× 48 909
Hongguang Sheng China 16 314 1.3× 114 0.7× 139 0.9× 150 1.1× 92 0.8× 28 1.0k
Xiaoli Ma China 18 277 1.2× 129 0.8× 142 1.0× 109 0.8× 220 1.8× 49 856
Arzu Seven Türkiye 19 278 1.2× 81 0.5× 166 1.1× 248 1.8× 119 1.0× 37 1.0k
Sookyoung Jeon United States 13 265 1.1× 275 1.7× 105 0.7× 163 1.2× 257 2.2× 29 852
Eulises Díaz‐Díaz Mexico 17 214 0.9× 50 0.3× 198 1.3× 154 1.1× 89 0.7× 41 734
Maha A. Alamin Saudi Arabia 16 218 0.9× 68 0.4× 81 0.6× 160 1.1× 70 0.6× 30 709
Joo Sun Choi South Korea 16 340 1.4× 109 0.7× 221 1.5× 201 1.4× 190 1.6× 18 937
Marija Glibetić Serbia 20 274 1.2× 65 0.4× 152 1.0× 118 0.8× 84 0.7× 54 1.0k

Countries citing papers authored by Uday Kumar Putcha

Since Specialization
Citations

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

Fields of papers citing papers by Uday Kumar Putcha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Uday Kumar Putcha. 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 Uday Kumar Putcha. The network helps show where Uday Kumar Putcha may publish in the future.

Co-authorship network of co-authors of Uday Kumar Putcha

This figure shows the co-authorship network connecting the top 25 collaborators of Uday Kumar Putcha. A scholar is included among the top collaborators of Uday Kumar Putcha 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 Uday Kumar Putcha. Uday Kumar Putcha 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.
Kesavan, R., et al.. (2023). Obesity Associated with Prediabetes Increases the Risk of Breast Cancer Development and Progression—A Study on an Obese Rat Model with Impaired Glucose Tolerance. International Journal of Molecular Sciences. 24(14). 11441–11441. 5 indexed citations
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Jeyakumar, Shanmugam M., et al.. (2023). Assessment of virgin coconut oil in a balanced diet on indicators of cardiovascular health in non-obese volunteers: A human metabolic study. Diabetes & Metabolic Syndrome Clinical Research & Reviews. 17(9). 102844–102844. 2 indexed citations
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Putcha, Uday Kumar, et al.. (2019). High-Fat Diet Elevates Liver Docosahexaenoic Acid Possibly through Over-Expression of Very Long-Chain Fatty Acid Elongase 2 in C57BL/6J Mice. International Journal for Vitamin and Nutrition Research. 89(1-2). 62–72. 5 indexed citations
6.
Putcha, Uday Kumar, et al.. (2019). Vitamin A deficiency increases the oleic acid (C18. The Indian Journal of Medical Research. 150(6). 620–629. 3 indexed citations
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Kanwal, Abhinav, et al.. (2016). Inhibition of SGLT1 abrogates preconditioning-induced cardioprotection against ischemia-reperfusion injury. Biochemical and Biophysical Research Communications. 472(2). 392–398. 16 indexed citations
11.
Kanwal, Abhinav, et al.. (2016). Protein kinase C–mediated sodium glucose transporter 1 activation in precondition-induced cardioprotection. Drug Design Development and Therapy. Volume 10. 2929–2938. 10 indexed citations
12.
Sakamuri, Siva S. V. P., et al.. (2016). Transcriptome profiling of visceral adipose tissue in a novel obese rat model, WNIN/Ob & its comparison with other animal models. The Indian Journal of Medical Research. 144(3). 409–423. 3 indexed citations
13.
Ghosh, Shampa, Jitendra Kumar Sinha, Uday Kumar Putcha, & Manchala Raghunath. (2016). Severe but Not Moderate Vitamin B12 Deficiency Impairs Lipid Profile, Induces Adiposity, and Leads to Adverse Gestational Outcome in Female C57BL/6 Mice. Frontiers in Nutrition. 3. 1–1. 102 indexed citations
14.
Khatua, Tarak Nath, Amit Kumar Dinda, Uday Kumar Putcha, & S. Banerjee. (2015). Diallyl disulfide ameliorates isoproterenol induced cardiac hypertrophy activating mitochondrial biogenesis via eNOS-Nrf2-Tfam pathway in rats. SHILAP Revista de lepidopterología. 5. 77–88. 41 indexed citations
15.
Putcha, Uday Kumar, et al.. (2015). Vitamin A deficiency suppresses high fructose-induced triglyceride synthesis and elevates resolvin D1 levels. Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids. 1861(3). 156–165. 19 indexed citations
16.
Sahu, Bidya Dhar, Uday Kumar Putcha, Madhusudana Kuncha, Shyam Sunder Rachamalla, & Ramakrishna Sistla. (2014). Carnosic acid promotes myocardial antioxidant response and prevents isoproterenol-induced myocardial oxidative stress and apoptosis in mice. Molecular and Cellular Biochemistry. 394(1-2). 163–176. 45 indexed citations
17.
Gupta, Prachi, Abhinav Kanwal, Uday Kumar Putcha, et al.. (2013). Cardioprotective effect of ritonavir, an antiviral drug, in isoproterenol induced myocardial necrosis: a new therapeutic implication. Journal of Translational Medicine. 11(1). 80–80. 24 indexed citations
18.
Sahu, Bidya Dhar, Madhusudana Kuncha, Uday Kumar Putcha, & Ramakrishna Sistla. (2013). Effect of metformin against cisplatin induced acute renal injury in rats: A biochemical and histoarchitectural evaluation. Experimental and Toxicologic Pathology. 65(6). 933–940. 47 indexed citations
19.
Putcha, Uday Kumar, et al.. (2011). Odontogenic tumors and giant cell lesions of jaws - a nine year study. World Journal of Surgical Oncology. 9(1). 68–68. 14 indexed citations
20.
Sahu, Bidya Dhar, et al.. (2011). Carnosic acid attenuates renal injury in an experimental model of rat cisplatin-induced nephrotoxicity. Food and Chemical Toxicology. 49(12). 3090–3097. 110 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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