Vidya Niranjan

2.5k total citations
94 papers, 776 citations indexed

About

Vidya Niranjan is a scholar working on Molecular Biology, Computational Theory and Mathematics and Organic Chemistry. According to data from OpenAlex, Vidya Niranjan has authored 94 papers receiving a total of 776 indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Molecular Biology, 29 papers in Computational Theory and Mathematics and 21 papers in Organic Chemistry. Recurrent topics in Vidya Niranjan's work include Computational Drug Discovery Methods (27 papers), Synthesis and biological activity (17 papers) and Genomics and Phylogenetic Studies (6 papers). Vidya Niranjan is often cited by papers focused on Computational Drug Discovery Methods (27 papers), Synthesis and biological activity (17 papers) and Genomics and Phylogenetic Studies (6 papers). Vidya Niranjan collaborates with scholars based in India, Algeria and France. Vidya Niranjan's co-authors include Akshay Uttarkar, A Malini, Sinosh Skariyachan, Dharshini Gopal, Raviraj Kusanur, Jitendra Kumar, Shweta Chakrabarti, Ramu S. Vemanna, Shobith Rangappa and Vasanthan Jayakumar and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Vidya Niranjan

84 papers receiving 721 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Vidya Niranjan India	16	320	178	143	107	89	94	776
Shopnil Akash Bangladesh	19	469 1.5×	187 1.1×	165 1.2×	117 1.1×	71 0.8×	91	1.2k
Mohd Danishuddin India	17	478 1.5×	366 2.1×	146 1.0×	83 0.8×	127 1.4×	39	1.1k
Rukmankesh Mehra India	18	486 1.5×	89 0.5×	91 0.6×	192 1.8×	93 1.0×	42	850
Devadasan Velmurugan India	19	555 1.7×	185 1.0×	198 1.4×	85 0.8×	78 0.9×	73	1.1k
Ramakrishna Vadde India	19	430 1.3×	191 1.1×	105 0.7×	206 1.9×	34 0.4×	52	1.1k
Bilal Shaker South Korea	12	426 1.3×	276 1.6×	99 0.7×	40 0.4×	32 0.4×	21	771
Saad Raza Pakistan	14	317 1.0×	152 0.9×	102 0.7×	36 0.3×	67 0.8×	33	546
Rajesh B. Patil India	17	442 1.4×	261 1.5×	255 1.8×	92 0.9×	27 0.3×	89	1.2k
Ahmed I. Abd El Maksoud Egypt	17	277 0.9×	102 0.6×	160 1.1×	53 0.5×	27 0.3×	31	741
Yeh Chen Taiwan	19	544 1.7×	112 0.6×	58 0.4×	88 0.8×	104 1.2×	70	1.1k

Countries citing papers authored by Vidya Niranjan

Since Specialization

Citations

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

Fields of papers citing papers by Vidya Niranjan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vidya Niranjan

This figure shows the co-authorship network connecting the top 25 collaborators of Vidya Niranjan. A scholar is included among the top collaborators of Vidya Niranjan 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 Vidya Niranjan. Vidya Niranjan 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

Uttarkar, Akshay & Vidya Niranjan. (2025). Quantum-Enabled Protein Folding of Disordered Regions in Ubiquitin C via Error-Mitigated VQE Benchmarked on Tensor Network Simulator and Aria 1. IEEE Transactions on Molecular Biological and Multi-Scale Communications. 12. 118–125.

Uttarkar, Akshay, et al.. (2025). Integrating the knowledge of traditional medicine to identify potential anti-viral drug against Human Norovirus (HNV); a molecular docking, simulation and network pharmacology analysis. 1. 100090–100090.

Zameer, Farhan, et al.. (2024). Unraveling the regulatory landscape of Parkinson disease: A molecular symphony of miRNAs, transcription factors, and high-risk genes. Neuroscience Letters. 832. 137792–137792. 4 indexed citations

Gairola, Sumeet, et al.. (2024). Engineered biocorona on microplastics as a toxicity mitigation strategy in marine environment: Experiments with a marine crustacean Artemia salina. Journal of Hazardous Materials Advances. 17. 100558–100558. 2 indexed citations

Niranjan, Vidya, et al.. (2024). Computational targeting of iron uptake proteins in Covid-19 induced mucormycosis to identify inhibitors via molecular dynamics, molecular mechanics and density function theory studies. In Silico Pharmacology. 12(2). 90–90. 1 indexed citations

Skariyachan, Sinosh, et al.. (2024). Unveiling the potential of Hamigeran-B from marine sponges as a probable inhibitor of Nipah virus RDRP through molecular modelling and dynamics simulation studies. SAR and QSAR in environmental research. 35(12). 1173–1197.

Uttarkar, Akshay & Vidya Niranjan. (2024). Quantum synergy in peptide folding: A comparative study of CVaR-variational quantum eigensolver and molecular dynamics simulation. International Journal of Biological Macromolecules. 273(Pt 1). 133033–133033. 4 indexed citations

Uttarkar, Akshay, et al.. (2024). Disaggregation of amyloid-beta fibrils via natural metabolites using long timescale replica exchange molecular dynamics simulation studies. Journal of Molecular Modeling. 30(3). 61–61. 2 indexed citations

Sarkar, Manas, et al.. (2024). Multifaceted computational profiling of thymol and geraniol against the human proteome for bio-repellent alternatives: Toxicity predictions, degradation analysis, and quantum mechanical approaches. Acta Tropica. 258. 107359–107359. 1 indexed citations

10.

Taïbi, Faïza, Malika Berredjem, Khadidja Otmane Rachedi, et al.. (2023). Antifungal activity of the essential oil of Pelargonium graveolens. Molecular docking, molecular dynamics, DFT, and in silico ADMET studies of five derivatives. Journal of Molecular Structure. 1294. 136546–136546. 7 indexed citations

11.

Skariyachan, Sinosh, et al.. (2023). BRCA1/TP53 tumor proteins inhibited by novel analogues of curcumin — Insight from computational modelling, dynamic simulation and experimental validation. International Journal of Biological Macromolecules. 253(Pt 4). 126989–126989. 3 indexed citations

12.

Prasannakumar, M. K., Vidya Niranjan, Akshay Uttarkar, et al.. (2023). Insights on Novel Effectors and Characterization of Metacaspase (RS107_6) as a Potential Cell Death-Inducing Protein in Rhizoctonia solani. Microorganisms. 11(4). 920–920. 5 indexed citations

13.

Niranjan, Vidya, et al.. (2023). Design of Novel Imidazopyrazine Derivative against Breast Cancer via TargetedNPY1R Antagonist. Anti-Cancer Agents in Medicinal Chemistry. 23(15). 1783–1793. 1 indexed citations

14.

Kumar, Jitendra, et al.. (2023). Deciphering the interaction mechanism of natural actives against larval proteins of Aedes aegypti to identify potential larvicides: a computational biology analysis. Journal of Biomolecular Structure and Dynamics. 41(22). 12480–12502. 2 indexed citations

15.

Niranjan, Vidya, et al.. (2023). Computational molecular perspectives on novel carbazole derivative as an anti-cancer molecule against CDK1 of breast and colorectal cancers via gene expression studies, novel two-way docking strategies, molecular mechanics and dynamics. Computational Biology and Chemistry. 108. 107979–107979. 3 indexed citations

16.

Niranjan, Vidya, et al.. (2023). Protocol for the development of coarse-grained structures for macromolecular simulation using GROMACS. PLoS ONE. 18(8). e0288264–e0288264. 8 indexed citations

17.

Kumar, Jitendra, et al.. (2022). Implementation of ensemble machine learning algorithms on exome datasets for predicting early diagnosis of cancers. BMC Bioinformatics. 23(1). 496–496. 16 indexed citations

18.

Niranjan, Vidya, et al.. (2022). Identification of novel regulatory pathways across normal human bronchial epithelial cell lines (NHBEs) and peripheral blood mononuclear cell lines (PBMCs) in COVID-19 patients using transcriptome analysis. Informatics in Medicine Unlocked. 31. 100979–100979. 3 indexed citations

19.

Skariyachan, Sinosh, et al.. (2020). Structural and molecular basis of the interaction mechanism of selected drugs towards multiple targets of SARS-CoV-2 by molecular docking and dynamic simulation studies- deciphering the scope of repurposed drugs. Computers in Biology and Medicine. 126. 104054–104054. 39 indexed citations

20.

Rao, P P, et al.. (2013). Deep sequencing as a method of typing bluetongue virus isolates. Journal of Virological Methods. 193(2). 314–319. 12 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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