Sankarganesh Arunachalam

1.9k total citations · 1 hit paper
46 papers, 1.4k citations indexed

About

Sankarganesh Arunachalam is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Materials Chemistry. According to data from OpenAlex, Sankarganesh Arunachalam has authored 46 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 8 papers in Cardiology and Cardiovascular Medicine and 7 papers in Materials Chemistry. Recurrent topics in Sankarganesh Arunachalam's work include Chemotherapy-induced cardiotoxicity and mitigation (7 papers), Nanoparticles: synthesis and applications (5 papers) and Cardiovascular Function and Risk Factors (4 papers). Sankarganesh Arunachalam is often cited by papers focused on Chemotherapy-induced cardiotoxicity and mitigation (7 papers), Nanoparticles: synthesis and applications (5 papers) and Cardiovascular Function and Risk Factors (4 papers). Sankarganesh Arunachalam collaborates with scholars based in India, South Korea and Poland. Sankarganesh Arunachalam's co-authors include Kaviyarasi Renu, Abilash Valsala Gopalakrishnan, Shanmugam Achiraman, Selvaraj Kunjiappan, Parasuraman Pavadai, P.B. Tirupathi Pichiah, Sankaranarayanan Murugesan, Panneerselvam Theivendren, Sureshbabu Ram Kumar Pandian and Udhayaraj Suriyakalaa and has published in prestigious journals such as Scientific Reports, Biochemical and Biophysical Research Communications and FEBS Letters.

In The Last Decade

Sankarganesh Arunachalam

45 papers receiving 1.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Molecular mechanism of doxorubicin-induced cardiomyopathy – An update

2017 456 citations Sankarganesh Arunachalam et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sankarganesh Arunachalam India	19	454	448	226	225	155	46	1.4k
Umashanker Navik India	19	355 0.8×	796 1.8×	197 0.9×	161 0.7×	170 1.1×	48	2.0k
Radomír Hrdina Czechia	20	770 1.7×	490 1.1×	370 1.6×	120 0.5×	56 0.4×	59	2.1k
Qianqian Jiang China	23	107 0.2×	467 1.0×	110 0.5×	111 0.5×	85 0.5×	81	1.6k
Amareshwar T.K. Singh United States	17	131 0.3×	1.2k 2.8×	458 2.0×	125 0.6×	150 1.0×	32	2.3k
Rade Injac Slovenia	21	192 0.4×	260 0.6×	88 0.4×	462 2.1×	417 2.7×	48	1.5k
Taoli Sun China	14	134 0.3×	479 1.1×	83 0.4×	123 0.5×	86 0.6×	29	1.1k
Michio Kojima Japan	20	254 0.6×	848 1.9×	151 0.7×	76 0.3×	138 0.9×	96	1.7k
Fang Zhou China	29	66 0.1×	1.1k 2.4×	444 2.0×	90 0.4×	211 1.4×	94	2.1k
Dharmendra Kumar Maurya India	22	90 0.2×	617 1.4×	190 0.8×	78 0.3×	69 0.4×	56	1.7k
John F. Gilmer Ireland	23	98 0.2×	532 1.2×	337 1.5×	109 0.5×	66 0.4×	68	1.7k

Countries citing papers authored by Sankarganesh Arunachalam

Since Specialization

Citations

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

Fields of papers citing papers by Sankarganesh Arunachalam

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sankarganesh Arunachalam

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

All Works

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20 of 20 papers shown

Yadav, Punit, et al.. (2025). The role of ferroptosis in doxorubicin-induced cardiotoxicity – An update. Life Sciences. 380. 123945–123945.

Narayanan, Ajit, et al.. (2024). Repurposing fluvoxamine as an inhibitor for NUDT5 in breast cancer cell: an in silico and in vitro study. In Silico Pharmacology. 13(1). 5–5. 1 indexed citations

Kunjiappan, Selvaraj, et al.. (2022). Doxorubicin Disrupts the Calcium Homeostasis through its Antagonistic Activity on PINK1–An In-silico Approach. Biointerface Research in Applied Chemistry. 13(1). 82–82. 2 indexed citations

Pavadai, Parasuraman, Panneerselvam Theivendren, Sankarganesh Arunachalam, et al.. (2022). Aphrodisiac Performance of Bioactive Compounds from Mimosa pudica Linn.: In Silico Molecular Docking and Dynamics Simulation Approach. Molecules. 27(12). 3799–3799. 27 indexed citations

Kunjiappan, Selvaraj, et al.. (2022). Exploring the Role of Melatonin in Meditation on Cardiovascular Health. Biointerface Research in Applied Chemistry. 13(1). 64–64. 3 indexed citations

Kunjiappan, Selvaraj, et al.. (2022). A hypothesis concerning the role of PPAR family on cardiac energetics in Adriamycin‐induced cardiomyopathy. Journal of Applied Toxicology. 42(12). 1910–1920. 5 indexed citations

Kunjiappan, Selvaraj, et al.. (2021). Disruption of Glycolysis, TCA Cycle, Respiratory Chain, Calcium and Iron Homeostasis in Doxorubicin Induced Cardiomyopathy-An In-silico Approach. Biointerface Research in Applied Chemistry. 12(6). 8527–8542. 2 indexed citations

Palanisamy, Ponnusamy, Parasuraman Pavadai, Sankarganesh Arunachalam, et al.. (2021). Removal of water and their soluble materials from fuels using Moringa oleifera loaded keratin-co-sodium acrylate hydrogel. Journal of Porous Materials. 28(2). 515–527. 3 indexed citations

Kunjiappan, Selvaraj, Sankaranarayanan Murugesan, Banoth Karan Kumar, et al.. (2020). Capsaicin-loaded solid lipid nanoparticles: design, biodistribution, in silico modeling and in vitro cytotoxicity evaluation. Nanotechnology. 32(9). 95101–95101. 51 indexed citations

10.

Theivendren, Panneerselvam, G. Saravanan, Sankarganesh Arunachalam, et al.. (2020). Formulation and characterization of folate receptor-targeted PEGylated liposome encapsulating bioactive compounds from Kappaphycus alvarezii for cancer therapy. 3 Biotech. 10(3). 136–136. 38 indexed citations

11.

Pandian, Sureshbabu Ram Kumar, Sankarganesh Arunachalam, Venkataraman Deepak, Selvaraj Kunjiappan, & Krishnan Sundar. (2020). Targeting complement cascade: an alternative strategy for COVID-19. 3 Biotech. 10(11). 479–479. 13 indexed citations

12.

Theivendren, Panneerselvam, Devaraj Sankarganesh, Davoodbasha MubarakAli, et al.. (2020). Utilization of plant-derived Myricetin molecule coupled with ultrasound for the synthesis of gold nanoparticles against breast cancer. Naunyn-Schmiedeberg s Archives of Pharmacology. 393(10). 1963–1976. 25 indexed citations

13.

Pichiah, P.B. Tirupathi, Devaraj Sankarganesh, Sankarganesh Arunachalam, & Shanmugam Achiraman. (2020). Adipose-Derived Molecules–Untouched Horizons in Alzheimer’s Disease Biology. Frontiers in Aging Neuroscience. 12. 17–17. 13 indexed citations

14.

Kunjiappan, Selvaraj, G. Saravanan, Parasuraman Pavadai, et al.. (2019). Design, in silico modelling and functionality theory of folate-receptor-targeted myricetin-loaded bovine serum albumin nanoparticle formulation for cancer treatment. Nanotechnology. 31(15). 155102–155102. 40 indexed citations

15.

Kunjiappan, Selvaraj, Bathrinath Sankaranarayanan, Ponnusamy Palanisamy, et al.. (2019). Modeling a pH-sensitive Zein-co-acrylic acid hybrid hydrogels loaded 5-fluorouracil and rutin for enhanced anticancer efficacy by oral delivery. 3 Biotech. 9(5). 185–185. 34 indexed citations

16.

Kunjiappan, Selvaraj, et al.. (2018). Preparation of liposomes encapsulated Epirubicin-gold nanoparticles for Tumor specific delivery and release. Biomedical Physics & Engineering Express. 4(4). 45027–45027. 23 indexed citations

17.

Theivendren, Panneerselvam, et al.. (2017). Design, Network Analysis, In silico Modeling and Synthesis of Biologically Active Thiazolo Quinazoline Scaffolds as Anti-tubercular Agent. Current Chemical Biology. 11(2). 1 indexed citations

18.

Antony, Jacob Joe, et al.. (2013). In vivo antitumor activity of biosynthesized silver nanoparticles using Ficus religiosa as a nanofactory in DAL induced mice model. Colloids and Surfaces B Biointerfaces. 108. 185–190. 96 indexed citations

19.

Arunachalam, Sankarganesh, P.B. Tirupathi Pichiah, & Shanmugam Achiraman. (2012). Doxorubicin treatment inhibits PPARγ and may induce lipotoxicity by mimicking a type 2 diabetes‐like condition in rodent models. FEBS Letters. 587(2). 105–110. 70 indexed citations

20.

Arunachalam, Sankarganesh, Sun Young Kim, Sun Hwa Lee, et al.. (2011). Davallialactone protects against adriamycin-induced cardiotoxicity in vitro and in vivo. Journal of Natural Medicines. 66(1). 149–157. 18 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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