Kuldeep K. Roy

1.3k total citations
49 papers, 985 citations indexed

About

Kuldeep K. Roy is a scholar working on Molecular Biology, Computational Theory and Mathematics and Pharmacology. According to data from OpenAlex, Kuldeep K. Roy has authored 49 papers receiving a total of 985 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 15 papers in Computational Theory and Mathematics and 12 papers in Pharmacology. Recurrent topics in Kuldeep K. Roy's work include Computational Drug Discovery Methods (15 papers), Synthesis and biological activity (7 papers) and Cancer therapeutics and mechanisms (6 papers). Kuldeep K. Roy is often cited by papers focused on Computational Drug Discovery Methods (15 papers), Synthesis and biological activity (7 papers) and Cancer therapeutics and mechanisms (6 papers). Kuldeep K. Roy collaborates with scholars based in India, United States and Poland. Kuldeep K. Roy's co-authors include Anil K. Saxena, Anil K. Saxena, Robert J. Doerksen, Mushtaq Ahmad Wani, Anshuman Dixit, Chandishwar Nath, Pankaj Pandey, Sandeep Sharma, Ranjana Srivastava and Vivek K. Kashyap and has published in prestigious journals such as Journal of Medicinal Chemistry, Journal of Pharmacology and Experimental Therapeutics and Molecules.

In The Last Decade

Kuldeep K. Roy

48 papers receiving 971 citations

Peers

Kuldeep K. Roy
Zhenquan Hu China
Neeraj Mahindroo India
Michele Tonelli Italy
Prasanna Sivaprakasam United States
Tuomo Laitinen Finland
Vivek K. Vyas India
Katrin Stierand Germany
Lesetja J. Legoabe South Africa
Manish Tripathi India
Minos–Timotheos Matsoukas Greece
Zhenquan Hu China
Kuldeep K. Roy
Citations per year, relative to Kuldeep K. Roy Kuldeep K. Roy (= 1×) peers Zhenquan Hu

Countries citing papers authored by Kuldeep K. Roy

Since Specialization
Citations

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

Fields of papers citing papers by Kuldeep K. Roy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kuldeep K. Roy

This figure shows the co-authorship network connecting the top 25 collaborators of Kuldeep K. Roy. A scholar is included among the top collaborators of Kuldeep K. Roy 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 Kuldeep K. Roy. Kuldeep K. Roy 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
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Roy, Kuldeep K., et al.. (2024). Decoding KRAS dynamics: Exploring the impact of mutations and inhibitor binding. Archives of Biochemistry and Biophysics. 764. 110279–110279. 3 indexed citations
3.
Chauhan, Subhash C., et al.. (2024). Structural insights into small-molecule KRAS inhibitors for targeting KRAS mutant cancers. European Journal of Medicinal Chemistry. 277. 116771–116771. 10 indexed citations
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Roy, Kuldeep K., et al.. (2023). ClpP Peptidase as a Plausible Target for the Discovery of NovelAntibiotics. Current Drug Targets. 25(2). 108–120. 6 indexed citations
6.
Parashar, Deepak, Anupam Singh, Saurabh Gupta, et al.. (2022). Emerging Roles and Potential Applications of Non-Coding RNAs in Cervical Cancer. Genes. 13(7). 1254–1254. 22 indexed citations
7.
..., Bharathi & Kuldeep K. Roy. (2021). Structural basis for the binding of a selective inverse agonist AF64394 with the human G-protein coupled receptor 3 (GPR3). Journal of Biomolecular Structure and Dynamics. 40(20). 10181–10190. 7 indexed citations
8.
Wani, Mushtaq Ahmad & Kuldeep K. Roy. (2021). Development and validation of consensus machine learning-based models for the prediction of novel small molecules as potential anti-tubercular agents. Molecular Diversity. 26(3). 1345–1356. 8 indexed citations
9.
Wani, Mushtaq Ahmad, Prabha Garg, & Kuldeep K. Roy. (2021). Machine learning-enabled predictive modeling to precisely identify the antimicrobial peptides. Medical & Biological Engineering & Computing. 59(11-12). 2397–2408. 20 indexed citations
10.
Roy, Kuldeep K., et al.. (2018). Agonists of the γ-aminobutyric acid type B (GABAB) receptor derived from β-hydroxy and β-amino difluoromethyl ketones. Bioorganic & Medicinal Chemistry Letters. 28(16). 2697–2700. 8 indexed citations
11.
Alghamdi, Sahar S., Pankaj Pandey, Kuldeep K. Roy, et al.. (2017). Selective Cannabinoid 2 Receptor Stimulation Reduces Tubular Epithelial Cell Damage after Renal Ischemia-Reperfusion Injury. Journal of Pharmacology and Experimental Therapeutics. 364(2). 287–299. 29 indexed citations
12.
Roy, Kuldeep K.. (2017). Targeting the active sites of malarial proteases for antimalarial drug discovery: approaches, progress and challenges. International Journal of Antimicrobial Agents. 50(3). 287–302. 39 indexed citations
13.
Saxena, Anil K., Kuldeep K. Roy, Anil Kumar, et al.. (2013). Identification and characterisation of small-molecule inhibitors of Rv3097c-encoded lipase (LipY) of Mycobacterium tuberculosis that selectively inhibit growth of bacilli in hypoxia. International Journal of Antimicrobial Agents. 42(1). 27–35. 23 indexed citations
14.
Roy, Kuldeep K., et al.. (2012). Lead optimization studies towards the discovery of novel carbamates as potent AChE inhibitors for the potential treatment of Alzheimer’s disease. Bioorganic & Medicinal Chemistry. 20(21). 6313–6320. 28 indexed citations
15.
Saxena, Shailendra K. & Kuldeep K. Roy. (2012). Hierarchical virtual screening: identification of potential high-affinity and selective β3-adrenergic receptor agonists. SAR and QSAR in environmental research. 23(5-6). 389–407. 10 indexed citations
16.
Roy, Kuldeep K., et al.. (2011). Synthesis and biological evaluation of substituted 4-arylthiazol-2-amino derivatives as potent growth inhibitors of replicating Mycobacterium tuberculosis H37RV. Bioorganic & Medicinal Chemistry Letters. 21(18). 5589–5593. 49 indexed citations
17.
Eleftheriou, Phaedra, Athina Geronikaki, Dimitra Hadjipavlou‐Litina, et al.. (2011). Fragment-based design, docking, synthesis, biological evaluation and structure–activity relationships of 2-benzo/benzisothiazolimino-5-aryliden-4-thiazolidinones as cycloxygenase/lipoxygenase inhibitors. European Journal of Medicinal Chemistry. 47(1). 111–124. 72 indexed citations
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Roy, Kuldeep K., et al.. (2010). Integration-mediated prediction enrichment of quantitative model for Hsp90 inhibitors as anti-cancer agents: 3D-QSAR study. Molecular Diversity. 15(2). 477–489. 12 indexed citations
20.
Roy, Kuldeep K., et al.. (2008). Substituted 1,2,3,4-tetrahydroquinolin-6-yloxypropanes as β3-adrenergic receptor agonists: Design, synthesis, biological evaluation and pharmacophore modeling. Bioorganic & Medicinal Chemistry. 17(2). 830–847. 26 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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