K. Ramanathan

1.9k total citations
131 papers, 1.4k citations indexed

About

K. Ramanathan is a scholar working on Molecular Biology, Computational Theory and Mathematics and Organic Chemistry. According to data from OpenAlex, K. Ramanathan has authored 131 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Molecular Biology, 47 papers in Computational Theory and Mathematics and 25 papers in Organic Chemistry. Recurrent topics in K. Ramanathan's work include Computational Drug Discovery Methods (47 papers), Cancer therapeutics and mechanisms (27 papers) and Synthesis and biological activity (19 papers). K. Ramanathan is often cited by papers focused on Computational Drug Discovery Methods (47 papers), Cancer therapeutics and mechanisms (27 papers) and Synthesis and biological activity (19 papers). K. Ramanathan collaborates with scholars based in India, United States and South Korea. K. Ramanathan's co-authors include V. Shanthi, R. Rajasekaran, Rao Sethumadhavan, C. Sudandiradoss, C. George Priya Doss, J. Newsome, Karthick Vasudevan, David Ensor, P.A. Lawless and Takao A. Yamamoto and has published in prestigious journals such as Industrial & Engineering Chemistry Research, Journal of Computational Chemistry and IEEE Transactions on Industry Applications.

In The Last Decade

K. Ramanathan

120 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
K. Ramanathan India 18 550 273 261 249 248 131 1.4k
Hongming Chen China 28 1.2k 2.2× 130 0.5× 419 1.6× 49 0.2× 524 2.1× 93 2.7k
Ioannis S. Vizirianakis Greece 26 980 1.8× 101 0.4× 94 0.4× 49 0.2× 271 1.1× 136 2.5k
Mukesh Kumar India 24 557 1.0× 77 0.3× 92 0.4× 107 0.4× 337 1.4× 116 1.9k
Patrice Soumillion Belgium 24 1.3k 2.4× 247 0.9× 79 0.3× 58 0.2× 254 1.0× 58 2.0k
Deliang Chen China 20 535 1.0× 47 0.2× 277 1.1× 103 0.4× 330 1.3× 53 1.8k
Farnoosh Attar Iran 24 803 1.5× 42 0.2× 129 0.5× 238 1.0× 916 3.7× 51 2.3k
Wael M. Elshemey Egypt 19 281 0.5× 136 0.5× 143 0.5× 24 0.1× 185 0.7× 84 1.1k
Ajit S. Narang United States 27 1.0k 1.8× 71 0.3× 65 0.2× 48 0.2× 326 1.3× 73 2.9k

Countries citing papers authored by K. Ramanathan

Since Specialization
Citations

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

Fields of papers citing papers by K. Ramanathan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. Ramanathan

This figure shows the co-authorship network connecting the top 25 collaborators of K. Ramanathan. A scholar is included among the top collaborators of K. Ramanathan 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 K. Ramanathan. K. Ramanathan 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
4.
Ibezim, Akachukwu, et al.. (2024). Potential dual inhibitors of Hexokinases and mitochondrial complex I discovered through machine learning approach. Scientific African. 24. e02226–e02226. 1 indexed citations
5.
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
7.
Ibezim, Akachukwu, et al.. (2022). Fragment-based virtual screening discovers potential new Plasmodium PI4KIIIβ ligands. BMC Chemistry. 16(1). 19–19. 4 indexed citations
8.
Ramanathan, K., et al.. (2022). Forecasting determinants of recurrence in lung cancer patients exploiting various machine learning models. Journal of Biopharmaceutical Statistics. 33(3). 257–271. 5 indexed citations
9.
Ibezim, Akachukwu, et al.. (2022). New sulphonamide-peptide hybrid molecules as potential PBP 2a ligands and methicillin resistant Staphylococcus aureus actives. Journal of Biomolecular Structure and Dynamics. 41(14). 6684–6694. 3 indexed citations
10.
Rungrotmongkol, Thanyada, et al.. (2021). In Silico Screening of Available Drugs Targeting Non-Small Cell Lung Cancer Targets: A Drug Repurposing Approach. Pharmaceutics. 14(1). 59–59. 21 indexed citations
11.
Ramanathan, K., et al.. (2021). Inhibition of multiple SARS-CoV-2 proteins by an antiviral biomolecule, seselin from Aegle marmelos deciphered using molecular docking analysis. Journal of Biomolecular Structure and Dynamics. 40(21). 11070–11081. 12 indexed citations
12.
Ramanathan, K., et al.. (2021). Drug repurposing combined with MM/PBSA based validation strategies towards MEK inhibitors screening. Journal of Biomolecular Structure and Dynamics. 40(22). 12392–12403. 8 indexed citations
13.
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
14.
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
15.
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
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
18.
Ramanathan, K., et al.. (2011). Identification of Potential Inhibitors against Acetylcholinesterase Associated With Alzheimer's Diseases: A Molecular Docking Approach. 1(1). 44–51. 20 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.
Doss, C. George Priya, C. Sudandiradoss, R. Rajasekaran, et al.. (2008). Identification and structural comparison of deleterious mutations in nsSNPs of ABL1 gene in chronic myeloid leukemia: A bio-informatics study. Journal of Biomedical Informatics. 41(4). 607–612. 17 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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