Sathishkumar Chandrakumar

1.6k total citations
16 papers, 1.2k citations indexed

About

Sathishkumar Chandrakumar is a scholar working on Molecular Biology, Epidemiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Sathishkumar Chandrakumar has authored 16 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Epidemiology and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Sathishkumar Chandrakumar's work include MicroRNA in disease regulation (3 papers), Adipose Tissue and Metabolism (3 papers) and Adipokines, Inflammation, and Metabolic Diseases (3 papers). Sathishkumar Chandrakumar is often cited by papers focused on MicroRNA in disease regulation (3 papers), Adipose Tissue and Metabolism (3 papers) and Adipokines, Inflammation, and Metabolic Diseases (3 papers). Sathishkumar Chandrakumar collaborates with scholars based in India, United States and France. Sathishkumar Chandrakumar's co-authors include Viswanathan Mohan, Prabu Paramasivam, Muthuswamy Balasubramanyam, Kuppan Gokulakrishnan, Mahalingam Balakumar, Harish Ranjani, Aravind Sivasubramanian, Finny Monickaraj, Sundaram Selvam and Ambady Ramachandran and has published in prestigious journals such as PLoS ONE, Diabetes and Diabetologia.

In The Last Decade

Sathishkumar Chandrakumar

16 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sathishkumar Chandrakumar India 14 572 349 312 288 220 16 1.2k
Giulia Matacchione Italy 21 653 1.1× 381 1.1× 287 0.9× 178 0.6× 156 0.7× 44 1.5k
José O. Alemán United States 16 572 1.0× 130 0.4× 383 1.2× 315 1.1× 368 1.7× 46 1.4k
Daniel Castellano‐Castillo Spain 17 578 1.0× 109 0.3× 374 1.2× 141 0.5× 159 0.7× 39 1.1k
Songbing He China 16 400 0.7× 185 0.5× 369 1.2× 186 0.6× 214 1.0× 44 1.4k
Huiping Yuan China 18 480 0.8× 117 0.3× 207 0.7× 128 0.4× 269 1.2× 52 1.2k
Preethi Cherian Kuwait 21 324 0.6× 195 0.6× 360 1.2× 412 1.4× 260 1.2× 58 1.3k
Wenjuan Li China 19 403 0.7× 137 0.4× 143 0.5× 132 0.5× 126 0.6× 32 832
Songtao Tang China 18 324 0.6× 170 0.5× 119 0.4× 207 0.7× 119 0.5× 64 980
Delphine Bastelica France 13 349 0.6× 182 0.5× 413 1.3× 188 0.7× 717 3.3× 18 1.3k
Gerard Pardo Spain 7 579 1.0× 256 0.7× 877 2.8× 83 0.3× 441 2.0× 7 1.3k

Countries citing papers authored by Sathishkumar Chandrakumar

Since Specialization
Citations

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

Fields of papers citing papers by Sathishkumar Chandrakumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sathishkumar Chandrakumar

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

All Works

16 of 16 papers shown
1.
Chandrakumar, Sathishkumar, et al.. (2023). Subendothelial Matrix Stiffening by Lysyl Oxidase Enhances RAGE-Mediated Retinal Endothelial Activation in Diabetes. Diabetes. 72(7). 973–985. 13 indexed citations
2.
Chandrakumar, Sathishkumar, Emma M. Lessieur, Yunpeng Du, et al.. (2023). Mechanical Regulation of Retinal Vascular Inflammation and Degeneration in Diabetes. Diabetes. 73(2). 280–291. 6 indexed citations
3.
4.
Gokulakrishnan, Kuppan, et al.. (2021). Augmentation of RBP4/STRA6 signaling leads to insulin resistance and inflammation and the plausible therapeutic role of vildagliptin and metformin. Molecular Biology Reports. 48(5). 4093–4106. 14 indexed citations
5.
Paramasivam, Prabu, Sophie Rome, Sathishkumar Chandrakumar, et al.. (2018). MicroRNAs from urinary extracellular vesicles are non-invasive early biomarkers of diabetic nephropathy in type 2 diabetes patients with the ‘Asian Indian phenotype’. Diabetes & Metabolism. 45(3). 276–285. 60 indexed citations
6.
Chandrakumar, Sathishkumar, Prabu Paramasivam, Viswanathan Mohan, & Muthuswamy Balasubramanyam. (2018). Linking a role of lncRNAs (long non-coding RNAs) with insulin resistance, accelerated senescence, and inflammation in patients with type 2 diabetes. Human Genomics. 12(1). 149 indexed citations
7.
Balakumar, Mahalingam, et al.. (2016). High-fructose diet is as detrimental as high-fat diet in the induction of insulin resistance and diabetes mediated by hepatic/pancreatic endoplasmic reticulum (ER) stress. Molecular and Cellular Biochemistry. 423(1-2). 93–104. 81 indexed citations
8.
Balakumar, Mahalingam, Sathishkumar Chandrakumar, Prabu Paramasivam, et al.. (2016). Improvement in glucose tolerance and insulin sensitivity by probiotic strains of Indian gut origin in high-fat diet-fed C57BL/6J mice. European Journal of Nutrition. 57(1). 279–295. 149 indexed citations
9.
Chandrakumar, Sathishkumar, Prabu Paramasivam, Mahalingam Balakumar, et al.. (2016). Augmentation of histone deacetylase 3 (HDAC3) epigenetic signature at the interface of proinflammation and insulin resistance in patients with type 2 diabetes. Clinical Epigenetics. 8(1). 125–125. 66 indexed citations
10.
Paramasivam, Prabu, Sophie Rome, Sathishkumar Chandrakumar, et al.. (2015). Circulating MiRNAs of ‘Asian Indian Phenotype’ Identified in Subjects with Impaired Glucose Tolerance and Patients with Type 2 Diabetes. PLoS ONE. 10(5). e0128372–e0128372. 63 indexed citations
11.
Monickaraj, Finny, et al.. (2013). Accelerated fat cell aging links oxidative stress and insulin resistance in adipocytes. Journal of Biosciences. 38(1). 113–122. 54 indexed citations
12.
Monickaraj, Finny, Kuppan Gokulakrishnan, Prabu Paramasivam, et al.. (2012). Convergence of adipocyte hypertrophy, telomere shortening and hypoadiponectinemia in obese subjects and in patients with type 2 diabetes. Clinical Biochemistry. 45(16-17). 1432–1438. 52 indexed citations
13.
Monickaraj, Finny, Kuppan Gokulakrishnan, Sathishkumar Chandrakumar, et al.. (2012). Accelerated aging as evidenced by increased telomere shortening and mitochondrial DNA depletion in patients with type 2 diabetes. Molecular and Cellular Biochemistry. 365(1-2). 343–350. 100 indexed citations
14.
Gokulakrishnan, Kuppan, Ranjit Mohan Anjana, Mohan Deepa, et al.. (2011). Inflammatory Markers in Relation to Nonalcoholic Fatty Liver Disease in Urban South Indians. Diabetes Technology & Therapeutics. 14(2). 152–158. 21 indexed citations
15.
Balasubramanyam, Muthuswamy, Aravind Sivasubramanian, Kuppan Gokulakrishnan, et al.. (2011). Impaired miR-146a expression links subclinical inflammation and insulin resistance in Type 2 diabetes. Molecular and Cellular Biochemistry. 351(1-2). 197–205. 200 indexed citations
16.
Snehalatha, Chamukuttan, Sheon Mary, Sathishkumar Chandrakumar, et al.. (2004). Temporal changes in prevalence of diabetes and impaired glucose tolerance associated with lifestyle transition occurring in the rural population in India. Diabetologia. 47(5). 860–865. 197 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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