V. Shanthi

797 total citations
86 papers, 594 citations indexed

About

V. Shanthi is a scholar working on Molecular Biology, Computational Theory and Mathematics and Organic Chemistry. According to data from OpenAlex, V. Shanthi has authored 86 papers receiving a total of 594 indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Molecular Biology, 32 papers in Computational Theory and Mathematics and 15 papers in Organic Chemistry. Recurrent topics in V. Shanthi's work include Computational Drug Discovery Methods (32 papers), Cancer therapeutics and mechanisms (17 papers) and Protein Structure and Dynamics (15 papers). V. Shanthi is often cited by papers focused on Computational Drug Discovery Methods (32 papers), Cancer therapeutics and mechanisms (17 papers) and Protein Structure and Dynamics (15 papers). V. Shanthi collaborates with scholars based in India, United States and South Korea. V. Shanthi's co-authors include K. Ramanathan, Priyanka Ramesh, Rohini Karunakaran, R. Rajasekaran, Karthick Vasudevan, Rao Sethumadhavan, Woong‐Hee Shin, Daisuke Kihara, K. Sekar and S. S. Sheik and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and Molecules.

In The Last Decade

V. Shanthi

80 papers receiving 589 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. Shanthi India 13 280 150 92 88 78 86 594
Richard Lloyd United Kingdom 9 232 0.8× 107 0.7× 35 0.4× 72 0.8× 34 0.4× 12 740
Eleanor W. W. Leung Australia 16 401 1.4× 49 0.3× 56 0.6× 102 1.2× 62 0.8× 29 681
Asif Shahriar Bangladesh 9 326 1.2× 92 0.6× 38 0.4× 81 0.9× 90 1.2× 20 766
Simon J. Holton Germany 15 485 1.7× 36 0.2× 96 1.0× 31 0.4× 135 1.7× 26 693
Ana Paula de Campos Guimarães Brazil 13 148 0.5× 95 0.6× 25 0.3× 82 0.9× 46 0.6× 36 434
Nelson José Freitas da Silveira Brazil 15 438 1.6× 147 1.0× 48 0.5× 58 0.7× 64 0.8× 47 718
Yanyan Diao China 13 256 0.9× 57 0.4× 35 0.4× 103 1.2× 65 0.8× 33 436
Nina Brunner Germany 15 582 2.1× 52 0.3× 35 0.4× 164 1.9× 92 1.2× 21 1.0k
Arianna Gelain Italy 22 549 2.0× 80 0.5× 83 0.9× 346 3.9× 161 2.1× 59 1.1k
Rong-Fang Gu United States 9 294 1.1× 34 0.2× 303 3.3× 73 0.8× 109 1.4× 13 1.1k

Countries citing papers authored by V. Shanthi

Since Specialization
Citations

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

Fields of papers citing papers by V. Shanthi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of V. Shanthi. A scholar is included among the top collaborators of V. Shanthi 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. Shanthi. V. Shanthi 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.
Shanthi, V., et al.. (2025). Identification of putative Indoleamine 2,3-dioxygenase 1 (IDO1) and tryptophan 2,3-dioxygenase (TDO) dual inhibitors for triple-negative breast cancer therapy. Journal of Biomolecular Structure and Dynamics. 44(2). 570–588. 1 indexed citations
2.
Shanthi, V., et al.. (2023). Sequential virtual screening collaborated with machine-learning strategies for the discovery of precise medicine against non-small cell lung cancer. Journal of Biomolecular Structure and Dynamics. 42(2). 615–628. 4 indexed citations
3.
Ramesh, Priyanka, K. Ramanathan, & V. Shanthi. (2020). A Review on Recent Advancements in Diagnosis and Classification of Cancers Using Artificial Intelligence. Biomedicine. 10(3). 5–17. 10 indexed citations
4.
Shanthi, V., et al.. (2019). Density Functional Theory and Molecular Simulation Studies for Prioritizing Anaplastic Lymphoma Kinase Inhibitors. Applied Biochemistry and Biotechnology. 190(4). 1127–1146. 12 indexed citations
5.
Ramanathan, K., et al.. (2017). Discovery of Therapeutic Lead Molecule Against β-Tubulin Using Computational Approach. Interdisciplinary Sciences Computational Life Sciences. 10(4). 734–747. 5 indexed citations
6.
7.
Ramanathan, K., et al.. (2016). Discovery of a potential lead compound for treating leprosy with dapsone resistance mutation in M. leprae folP1. Molecular BioSystems. 12(7). 2178–2188. 3 indexed citations
8.
Shanthi, V., et al.. (2016). Management of crizotinib resistance in lung cancer using traditional plant source: An in silico strategies.. Biomedical Research-tokyo. 27(3). 0. 1 indexed citations
9.
Shanthi, V., et al.. (2016). Identification of Potential Therapeutics to Conquer Drug Resistance in Salmonella typhimurium: Drug Repurposing Strategy. BioDrugs. 30(6). 593–605. 10 indexed citations
10.
Shanthi, V., et al.. (2016). Discovery of potential ALK inhibitors by virtual screening approach. 3 Biotech. 6(1). 21–21. 7 indexed citations
11.
Shanthi, V., et al.. (2015). Computational Simulation Techniques to Understand Rifampicin Resistance Mutation (S425L) of rpoB in M. leprae. Journal of Cellular Biochemistry. 116(7). 1278–1285. 10 indexed citations
12.
Shanthi, V., et al.. (2015). Phytoremediation of polychlorinated biphenyls: a brief review.. Research Journal of Pharmaceutical Biological and Chemical Sciences. 6(2). 1466–1471. 2 indexed citations
13.
Shanthi, V., et al.. (2015). Computational Investigation and Experimental Validation of Crizotinib Resistance Conferred by C1156Y Mutant Anaplastic Lymphoma Kinase. Molecular Informatics. 34(2-3). 105–114. 14 indexed citations
14.
Shanthi, V., et al.. (2015). Investigation of Nalidixic Acid Resistance Mechanism in Salmonella enterica Using Molecular Simulation Techniques. Applied Biochemistry and Biotechnology. 177(2). 528–540. 11 indexed citations
15.
Shanthi, V., R. Rajasekaran, & K. Ramanathan. (2014). Computational Identification of Significant Missense Mutations in AKT1 Gene. Cell Biochemistry and Biophysics. 70(2). 957–965. 5 indexed citations
16.
Shanthi, V., et al.. (2013). Investigation of MK-5172 resistance against R155K NS3/4A protease bymolecular simulation approach. Der pharmacia lettre. 5(3). 13–20. 1 indexed citations
17.
18.
Chandrasekaran, Prabha, et al.. (2012). Computational analysis of deleterious missense mutations in aspartoacylase that cause Canavan’s disease. Science China Life Sciences. 55(12). 1109–1119. 3 indexed citations
19.
Ramanathan, K., V. Shanthi, & Rao Sethumadhavan. (2010). Exploring the Role of C-H-II Interactions on the Structural Stability of Membrane Proteins. International Journal of Pharma and Bio Sciences. 2 indexed citations
20.
Mohan, Krithika, et al.. (2004). LySDB – Lysozyme Structural DataBase. Acta Crystallographica Section D Biological Crystallography. 60(3). 597–600. 2 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Richard Lloyd Breakdown of academic impact, for papers by Eleanor W. W. Leung Breakdown of academic impact, for papers by Asif Shahriar Breakdown of academic impact, for papers by Simon J. Holton Breakdown of academic impact, for papers by Ana Paula de Campos Guimarães Breakdown of academic impact, for papers by Nelson José Freitas da Silveira Breakdown of academic impact, for papers by Yanyan Diao Breakdown of academic impact, for papers by Nina Brunner Breakdown of academic impact, for papers by Arianna Gelain Breakdown of academic impact, for papers by Rong-Fang Gu
Rankless by CCL
2026