V. Sivaramakrishnan

1.9k total citations
88 papers, 1.6k citations indexed

About

V. Sivaramakrishnan is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Molecular Biology. According to data from OpenAlex, V. Sivaramakrishnan has authored 88 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Electrical and Electronic Engineering, 24 papers in Materials Chemistry and 21 papers in Molecular Biology. Recurrent topics in V. Sivaramakrishnan's work include Chalcogenide Semiconductor Thin Films (13 papers), Quantum Dots Synthesis And Properties (9 papers) and Fluid Dynamics and Thin Films (7 papers). V. Sivaramakrishnan is often cited by papers focused on Chalcogenide Semiconductor Thin Films (13 papers), Quantum Dots Synthesis And Properties (9 papers) and Fluid Dynamics and Thin Films (7 papers). V. Sivaramakrishnan collaborates with scholars based in India, United States and Malaysia. V. Sivaramakrishnan's co-authors include S. Niranjali Devaraj, P.J. Sebastián, V. Kirubakaran, M. Premalatha, P. Subramanian, P. Shilpa, T. Sekar, R. Pratibha Nalini, Nageswara Rao Dunna and Prabir K. Chaudhury and has published in prestigious journals such as SHILAP Revista de lepidopterología, Physical review. B, Condensed matter and Applied Physics Letters.

In The Last Decade

V. Sivaramakrishnan

81 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
V. Sivaramakrishnan India 18 346 345 333 209 164 88 1.6k
Hua Sun China 23 308 0.9× 633 1.8× 212 0.6× 176 0.8× 74 0.5× 92 2.0k
Zhiyong Chen China 32 401 1.2× 876 2.5× 641 1.9× 287 1.4× 161 1.0× 166 2.9k
Jie Pang China 27 557 1.6× 501 1.5× 409 1.2× 213 1.0× 72 0.4× 123 2.4k
Duoduo Zhang China 26 328 0.9× 720 2.1× 358 1.1× 211 1.0× 43 0.3× 139 2.2k
Kun Jiang China 26 428 1.2× 370 1.1× 414 1.2× 358 1.7× 352 2.1× 121 2.3k
Rita Ambrus Hungary 35 437 1.3× 603 1.7× 432 1.3× 193 0.9× 57 0.3× 175 3.2k
Yonglin Wang China 21 132 0.4× 439 1.3× 317 1.0× 184 0.9× 45 0.3× 97 1.5k
Yingying Shi China 27 340 1.0× 386 1.1× 510 1.5× 468 2.2× 132 0.8× 103 2.1k
Liang Liu China 23 208 0.6× 685 2.0× 378 1.1× 76 0.4× 154 0.9× 92 1.6k

Countries citing papers authored by V. Sivaramakrishnan

Since Specialization
Citations

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

Fields of papers citing papers by V. Sivaramakrishnan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V. Sivaramakrishnan

This figure shows the co-authorship network connecting the top 25 collaborators of V. Sivaramakrishnan. A scholar is included among the top collaborators of V. Sivaramakrishnan 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 V. Sivaramakrishnan. V. Sivaramakrishnan 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.
Sivaramakrishnan, V., S. Vishvanathperumal, G. Anand, & V. Navaneethakrishnan. (2025). Enhancing SBR/XNBR blend nanocomposites through HNTs reinforcement. Journal of Rubber Research. 28(4). 643–661. 5 indexed citations
2.
3.
Talluri, Srikanth, et al.. (2024). Genomic instability in ovarian cancer: Through the lens of single nucleotide polymorphisms. Clinica Chimica Acta. 565. 119992–119992.
4.
Dunna, Nageswara Rao, et al.. (2024). Exploring the liposomal encapsulation and enhanced cytotoxicity of selenium nanoparticles against lung cancer cells. SHILAP Revista de lepidopterología. 7. 100121–100121.
5.
Sivaramakrishnan, V., et al.. (2023). Computational Identification and Validation of Non-Synonymous SNPs in Progesterone Receptor Membrane Complex 1 Linked to Lung Cancer. International Journal of experimental research and review. 36. 66–75. 3 indexed citations
6.
Dunna, Nageswara Rao, et al.. (2022). A comprehensive overview on the anti-inflammatory, antitumor, and ferroptosis functions of bromelain: an emerging cysteine protease. Expert Opinion on Biological Therapy. 22(5). 615–625. 8 indexed citations
7.
Sivaramakrishnan, V., et al.. (2022). Cancer stem cell markers interplay with chemoresistance in triple negative breast cancer: A therapeutic perspective. Bulletin du Cancer. 109(9). 960–971. 6 indexed citations
8.
Talluri, Srikanth, et al.. (2022). Homologous recombination DNA repair gene RAD51, XRCC2 & XRCC3 polymorphisms and breast cancer risk in South Indian women. PLoS ONE. 17(1). e0259761–e0259761. 9 indexed citations
9.
Sivaramakrishnan, V., et al.. (2021). The impact of fusion genes on cancer stem cells and drug resistance. Molecular and Cellular Biochemistry. 476(10). 3771–3783. 9 indexed citations
10.
Arunachalam, J., et al.. (2021). Impact of xenobiotic-metabolizing gene polymorphisms on breast cancer risk in South Indian women. Breast Cancer Research and Treatment. 186(3). 823–837. 7 indexed citations
11.
12.
Sivaramakrishnan, V., et al.. (2020). Role of ellagic acid for the prevention and treatment of liver diseases. Phytotherapy Research. 35(6). 2925–2944. 50 indexed citations
13.
Kasinathan, Nirmal Kumar, et al.. (2017). Differential cytotoxic activity of Quercetin on colonic cancer cells depends on ROS generation through COX-2 expression. Food and Chemical Toxicology. 106(Pt A). 92–106. 81 indexed citations
14.
Sivaramakrishnan, V., et al.. (2017). Artesunate acts as fuel to fire in sensitizing HepG2 cells towards TRAIL mediated apoptosis via STAT3 inhibition and DR4 augmentation. Biomedicine & Pharmacotherapy. 88. 515–520. 17 indexed citations
15.
Sivaramakrishnan, V., et al.. (2016). Viper venom hyaluronidase and its potential inhibitor analysis: a multipronged computational investigation. Journal of Biomolecular Structure and Dynamics. 35(9). 1979–1989. 7 indexed citations
16.
Shilpa, P., V. Sivaramakrishnan, & S. Niranjali Devaraj. (2012). Induction of Apoptosis by Methanolic Extract of Rubia Cordifolia Linn in HEp-2 Cell Line is Mediated by Reactive Oxygen Species. Asian Pacific Journal of Cancer Prevention. 13(6). 2753–2758. 30 indexed citations
17.
Sivaramakrishnan, V. & S. Niranjali Devaraj. (2009). Morin fosters apoptosis in experimental hepatocellular carcinogenesis model. Chemico-Biological Interactions. 183(2). 284–292. 51 indexed citations
18.
Sebastián, P.J. & V. Sivaramakrishnan. (1990). CdSexTe1-xthin films for solar control applications. Journal of Physics D Applied Physics. 23(8). 1114–1118. 23 indexed citations
19.
Sebastián, P.J. & V. Sivaramakrishnan. (1989). Instability in resistance and variation of activation energy with thickness and deposition temperature of CdSe0.6Te0.4 thin films deposited at high substrate temperatures. Journal of Applied Physics. 65(1). 237–240. 32 indexed citations
20.
Chaudhury, Prabir K., V. Sivaramakrishnan, & Farghalli A. Mohamed. (1988). Superplastic deformation behavior in commercial and high purity Zn- 22 Pct Al. Metallurgical Transactions A. 19(11). 2741–2752. 59 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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