Senthil Arun Kumar

422 total citations
19 papers, 302 citations indexed

About

Senthil Arun Kumar is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Nutrition and Dietetics. According to data from OpenAlex, Senthil Arun Kumar has authored 19 papers receiving a total of 302 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Endocrinology, Diabetes and Metabolism, 5 papers in Molecular Biology and 5 papers in Nutrition and Dietetics. Recurrent topics in Senthil Arun Kumar's work include SARS-CoV-2 and COVID-19 Research (3 papers), Fatty Acid Research and Health (3 papers) and Hormonal Regulation and Hypertension (3 papers). Senthil Arun Kumar is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (3 papers), Fatty Acid Research and Health (3 papers) and Hormonal Regulation and Hypertension (3 papers). Senthil Arun Kumar collaborates with scholars based in India, Australia and China. Senthil Arun Kumar's co-authors include Lindsay Brown, Leigh C. Ward, Nicholas A. Paul, Marie Magnusson, Hemant Poudyal, Jennifer Waanders, Mangala M. Pai, Ashwin Krıshnamurthy, Latha V. Prabhu and Haiyan Wei and has published in prestigious journals such as Nutrients, British Journal Of Nutrition and Drug Discovery Today.

In The Last Decade

Senthil Arun Kumar

17 papers receiving 292 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Senthil Arun Kumar India 9 77 76 59 57 54 19 302
Yuming Wang China 9 92 1.2× 106 1.4× 52 0.9× 59 1.0× 61 1.1× 13 355
Carina Valenzuela Chile 10 113 1.5× 80 1.1× 45 0.8× 19 0.3× 33 0.6× 20 324
Qianwen Zheng China 15 60 0.8× 173 2.3× 28 0.5× 50 0.9× 23 0.4× 35 457
Xia Qiu China 10 30 0.4× 126 1.7× 47 0.8× 42 0.7× 43 0.8× 18 320
Nannan Zhao China 12 35 0.5× 216 2.8× 102 1.7× 29 0.5× 22 0.4× 18 383
Yong Yan China 12 28 0.4× 66 0.9× 83 1.4× 21 0.4× 141 2.6× 18 360
María E. Frigolet Mexico 10 88 1.1× 134 1.8× 188 3.2× 17 0.3× 51 0.9× 17 507
Myriam Moussa France 8 151 2.0× 249 3.3× 60 1.0× 22 0.4× 108 2.0× 10 580
Xiaotao Ma China 11 58 0.8× 117 1.5× 79 1.3× 47 0.8× 37 0.7× 17 411
Mi-Ja Choi South Korea 11 77 1.0× 85 1.1× 90 1.5× 12 0.2× 15 0.3× 52 369

Countries citing papers authored by Senthil Arun Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Senthil Arun Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Senthil Arun Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Senthil Arun Kumar. A scholar is included among the top collaborators of Senthil Arun Kumar 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 Senthil Arun Kumar. Senthil Arun Kumar 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.
Kumar, Senthil Arun, et al.. (2025). Polyphenols from Edible Brown Seaweeds Against Adiposopathy-Associated Metabolic Ailments. Food Reviews International. 41(6). 1653–1680.
2.
Kumar, Senthil Arun, et al.. (2024). Bitter taste receptors establish a stable binding affinity with the SARS-CoV-2-spike 1 protein akin to ACE2. Journal of Biomolecular Structure and Dynamics. 43(8). 3845–3858. 1 indexed citations
3.
Kumar, Senthil Arun, et al.. (2024). Xanthogranulomatous Pyelonephritis Mimicking a Complex Renal Cyst: A Report of a Rare Case. Cureus. 16(9). e69233–e69233.
4.
Zhang, Yixin, et al.. (2022). APJ/apelin: A promising target for the treatment of retinopathy of prematurity. Drug Discovery Today. 27(8). 2342–2352. 3 indexed citations
5.
Chockalingam, Anand, Senthil Arun Kumar, Poorna R. Karuparthi, et al.. (2021). Siddha fasting in obese acute decompensated heart failure may improve hospital outcomes through empowerment and natural ketosis. EXPLORE. 18(6). 714–718. 5 indexed citations
6.
Belenchia, Anthony, et al.. (2021). Suppression of Inflammatory Cardiac Cytokine Network in Rats with Untreated Obesity and Pre-Diabetes by AT2 Receptor Agonist NP-6A4. Frontiers in Pharmacology. 12. 693167–693167. 6 indexed citations
7.
8.
Kumar, Senthil Arun, et al.. (2020). Comparative docking studies to understand the binding affinity of nicotine with soluble ACE2 (sACE2)-SARS-CoV-2 complex over sACE2. Toxicology Reports. 7. 1366–1372. 9 indexed citations
9.
Duan, Yongtao, Yongfang Yao, Senthil Arun Kumar, Hai‐Liang Zhu, & Junbiao Chang. (2020). Current and future therapeutical approaches for COVID-19. Drug Discovery Today. 25(8). 1545–1552. 13 indexed citations
10.
Kumar, Senthil Arun, et al.. (2020). A case report on transient cardiomyopathy with cytokine storm in SARS-CoV-2. European Heart Journal - Case Reports. 5(2). ytaa519–ytaa519. 3 indexed citations
11.
Chen, Qiong, Shengnan Wu, Yongxing Chen, et al.. (2019). A novel missense COL10A1 mutation: c.2020G>A; p. Gly674Arg linked with the bowed legs stature in the Schmid metaphyseal chondrodysplasia-affected Chinese lineage. Bone Reports. 12. 100240–100240. 4 indexed citations
12.
Bhandarkar, Nikhil S., Senthil Arun Kumar, Jarad Martin, Lindsay Brown, & Sunil K. Panchal. (2018). Attenuation of Metabolic Syndrome by EPA/DHA Ethyl Esters in Testosterone-Deficient Obese Rats. Marine Drugs. 16(6). 182–182. 8 indexed citations
13.
Kumar, Senthil Arun, Leigh C. Ward, & Lindsay Brown. (2016). Inulin oligofructose attenuates metabolic syndrome in high-carbohydrate, high-fat diet-fed rats. British Journal Of Nutrition. 116(9). 1502–1511. 52 indexed citations
14.
Kumar, Senthil Arun, Marie Magnusson, Leigh C. Ward, Nicholas A. Paul, & Lindsay Brown. (2015). Seaweed Supplements Normalise Metabolic, Cardiovascular and Liver Responses in High-Carbohydrate, High-Fat Fed Rats. Marine Drugs. 13(2). 788–805. 42 indexed citations
15.
Kumar, Senthil Arun, Marie Magnusson, Leigh C. Ward, Nicholas A. Paul, & Lindsay Brown. (2015). A Green Algae Mixture of Scenedesmus and Schroederiella Attenuates Obesity-Linked Metabolic Syndrome in Rats. Nutrients. 7(4). 2771–2787. 20 indexed citations
16.
Poudyal, Hemant, et al.. (2013). Responses to oleic, linoleic and α-linolenic acids in high-carbohydrate, high-fat diet-induced metabolic syndrome in rats. The Journal of Nutritional Biochemistry. 24(7). 1381–1392. 48 indexed citations
17.
Kumar, Senthil Arun & Lindsay Brown. (2013). Seaweeds as potential therapeutic interventions for the metabolic syndrome. Reviews in Endocrine and Metabolic Disorders. 14(3). 299–308. 39 indexed citations
18.
Kumar, Senthil Arun, et al.. (2011). CURCUMIN: THE SPICE FOR LIFE. 3 indexed citations
19.
Pai, Mangala M., et al.. (2009). Variability in the Origin of the Obturator Artery. Clinics. 64(9). 897–901. 42 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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