Vikas Kumar

1.2k total citations
65 papers, 845 citations indexed

About

Vikas Kumar is a scholar working on Molecular Biology, Computational Theory and Mathematics and Surgery. According to data from OpenAlex, Vikas Kumar has authored 65 papers receiving a total of 845 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 18 papers in Computational Theory and Mathematics and 8 papers in Surgery. Recurrent topics in Vikas Kumar's work include Computational Drug Discovery Methods (18 papers), Enzyme function and inhibition (7 papers) and Shoulder Injury and Treatment (6 papers). Vikas Kumar is often cited by papers focused on Computational Drug Discovery Methods (18 papers), Enzyme function and inhibition (7 papers) and Shoulder Injury and Treatment (6 papers). Vikas Kumar collaborates with scholars based in South Korea, India and United States. Vikas Kumar's co-authors include Keun Woo Lee, Shraddha Parate, Swapandeep Singh Chimni, Gihwan Lee, Ankur Teredesai, Christopher Roche, Howard Routman, Jong Chan Hong, Joseph D. Zuckerman and Pierre-Henri Flurin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biomaterials and Biochemical and Biophysical Research Communications.

In The Last Decade

Vikas Kumar

61 papers receiving 829 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vikas Kumar South Korea 17 265 183 166 112 100 65 845
Shraddha Thakkar United States 18 359 1.4× 107 0.6× 423 2.5× 79 0.7× 101 1.0× 43 1.3k
Haleema Sadia Pakistan 20 456 1.7× 45 0.2× 46 0.3× 65 0.6× 54 0.5× 87 1.2k
Željko Debeljak Croatia 17 264 1.0× 34 0.2× 34 0.2× 42 0.4× 64 0.6× 58 1.2k
Josch K. Pauling Germany 18 673 2.5× 35 0.2× 84 0.5× 87 0.8× 19 0.2× 35 1.2k
Shahid Raza Pakistan 16 274 1.0× 46 0.3× 22 0.1× 72 0.6× 22 0.2× 63 870
Ana C. Puhl United States 16 494 1.9× 21 0.1× 378 2.3× 50 0.4× 72 0.7× 48 1.0k
Kit‐Kay Mak Malaysia 16 413 1.6× 21 0.1× 312 1.9× 32 0.3× 145 1.4× 43 1.3k
Victoria M. Tran United States 3 620 2.3× 22 0.1× 500 3.0× 40 0.4× 82 0.8× 3 1.3k
Qiang Sun China 26 722 2.7× 183 1.0× 33 0.2× 133 1.2× 103 1.0× 67 2.1k
Salma Jamal India 20 663 2.5× 29 0.2× 307 1.8× 92 0.8× 60 0.6× 64 1.1k

Countries citing papers authored by Vikas Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Vikas Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vikas Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Vikas Kumar. A scholar is included among the top collaborators of Vikas Kumar 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 Vikas Kumar. Vikas Kumar 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.
Kumar, Akash, Vikas Kumar, Mohammad Khalid Parvez, et al.. (2025). Corticosteroid Prednisolone and flavonoid Chrysin as drug candidates against SARS-CoV-2 replication: Computational and experimental findings. Microbial Pathogenesis. 207. 107923–107923.
2.
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Kumar, Vikas, Rajesh Saha, & Srimanta Baishya. (2025). Radiation resilience of Silicon-On-Insulator Vertical Super Thin Body (SOI VSTB) field-effect transistors: A TCAD simulation study on SEE effects. Micro and Nanostructures. 206. 208238–208238.
4.
Kumar, Vikas, Shraddha Parate, Hyeon-Su Ro, Tae Sung Jung, & Keun Woo Lee. (2024). Modeling of FAK-PROTAC candidates from GSK2256098 analogs for targeted protein degradation. Biochemical and Biophysical Research Communications. 740. 151001–151001. 1 indexed citations
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6.
Singh, Pooja, Vikas Kumar, Keun Woo Lee, & Jong Chan Hong. (2024). Discovery of Novel Allosteric SHP2 Inhibitor Using Pharmacophore-Based Virtual Screening, Molecular Docking, Molecular Dynamics Simulation, and Principal Component Analysis. Pharmaceuticals. 17(7). 935–935. 8 indexed citations
7.
Singh, Pooja, et al.. (2024). Uncovering potential CDK9 inhibitors from natural compound databases through docking-based virtual screening and MD simulations. Journal of Molecular Modeling. 30(8). 267–267. 2 indexed citations
8.
Rajabzadeh-Oghaz, Hamidreza, Vikas Kumar, David B. Berry, et al.. (2024). Impact of Deltoid Computer Tomography Image Data on the Accuracy of Machine Learning Predictions of Clinical Outcomes after Anatomic and Reverse Total Shoulder Arthroplasty. Journal of Clinical Medicine. 13(5). 1273–1273. 4 indexed citations
9.
Kumar, Vikas, Pooja Singh, Shraddha Parate, et al.. (2024). Computational insights into allosteric inhibition of focal adhesion kinase: A combined pharmacophore modeling and molecular dynamics approach. Journal of Molecular Graphics and Modelling. 130. 108789–108789. 3 indexed citations
10.
Parate, Shraddha, Vikas Kumar, Jong Chan Hong, & Keun Woo Lee. (2023). Investigation of Macrocyclic mTOR Modulators of Rapamycin Binding Site via Pharmacoinformatics Approaches. Computational Biology and Chemistry. 104. 107875–107875. 1 indexed citations
11.
Islam, Rokibul, Jong Bok Seo, Jong‐Il Kim, et al.. (2023). Association of Phosphorylated Pyruvate Dehydrogenase with Pyruvate Kinase M2 Promotes PKM2 Stability in Response to Insulin. International Journal of Molecular Sciences. 24(18). 13697–13697. 1 indexed citations
12.
Kadam, Ulhas Sopanrao, Vikas Kumar, Keun Woo Lee, et al.. (2022). Identification and structural analysis of novel malathion-specific DNA aptameric sensors designed for food testing. Biomaterials. 287. 121617–121617. 35 indexed citations
13.
Kumar, Vikas, Shraddha Parate, Gihwan Lee, et al.. (2021). Identification of CDK7 Inhibitors from Natural Sources Using Pharmacoinformatics and Molecular Dynamics Simulations. Biomedicines. 9(9). 1197–1197. 20 indexed citations
14.
Danishuddin, Mohd, Vikas Kumar, Mohammad Faheem, & Keun Woo Lee. (2021). A decade of machine learning-based predictive models for human pharmacokinetics: Advances and challenges. Drug Discovery Today. 27(2). 529–537. 49 indexed citations
15.
Kumar, Vikas, et al.. (2021). Auxin transport mechanism of membrane transporter encoded by AEC gene of Bacillus licheniformis isolated from metagenome of Tapta Kund Hotspring of Uttrakhand, India. International Journal of Biological Macromolecules. 185. 277–286. 6 indexed citations
16.
Kumar, Vikas, Bradley S. Schoch, Ankur Teredesai, et al.. (2021). Using machine learning to predict internal rotation after anatomic and reverse total shoulder arthroplasty. Journal of Shoulder and Elbow Surgery. 31(5). e234–e245. 31 indexed citations
17.
Kumar, Vijay, et al.. (2020). Predicted aggregation-prone region (APR) in βB1-crystallin forms the amyloid-like structure and induces aggregation of soluble proteins isolated from human cataractous eye lens. International Journal of Biological Macromolecules. 163. 702–710. 5 indexed citations
18.
Garijo, Daniel, Kelly M. Cobourn, Ewa Deelman, et al.. (2018). Integrating Models Through Knowledge-Powered Data and Process Composition. AGU Fall Meeting Abstracts. 2018. 1 indexed citations
19.
Kumar, Vikas & Swapandeep Singh Chimni. (2015). Recent Developments on Thiourea Based Anticancer Chemotherapeutics. Anti-Cancer Agents in Medicinal Chemistry. 15(2). 163–175. 45 indexed citations
20.
Kumar, Vikas, et al.. (2005). Effect of advanced pregnancy and early lactation on blood biochemical constituents in Murrah buffaloes. The Indian Veterinary Journal. 82(4). 401–403. 4 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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