Vinod Kumar

3.8k total citations
121 papers, 2.7k citations indexed

About

Vinod Kumar is a scholar working on Organic Chemistry, Molecular Biology and Pharmacology. According to data from OpenAlex, Vinod Kumar has authored 121 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Organic Chemistry, 33 papers in Molecular Biology and 23 papers in Pharmacology. Recurrent topics in Vinod Kumar's work include Synthesis and biological activity (19 papers), Cholinesterase and Neurodegenerative Diseases (18 papers) and Computational Drug Discovery Methods (15 papers). Vinod Kumar is often cited by papers focused on Synthesis and biological activity (19 papers), Cholinesterase and Neurodegenerative Diseases (18 papers) and Computational Drug Discovery Methods (15 papers). Vinod Kumar collaborates with scholars based in India, United States and United Kingdom. Vinod Kumar's co-authors include Bhupinder Kumar, Ashish Ranjan Dwivedi, Rakesh Kumar, Arun K. Sinha, Ira Skvortsova, Anil K. Mantha, Ramandeep Kaur, Anuj Sharma, Vijay Kumar and Sheetal Sheetal and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Vinod Kumar

116 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vinod Kumar India 30 1.1k 933 479 307 246 121 2.7k
Laura De Luca Italy 36 1.6k 1.5× 1.5k 1.6× 358 0.7× 354 1.2× 140 0.6× 170 4.0k
Michael G. Malkowski United States 33 630 0.6× 1.4k 1.5× 1.1k 2.3× 263 0.9× 335 1.4× 75 3.5k
Piyush Trivedi India 26 1.0k 0.9× 993 1.1× 221 0.5× 193 0.6× 240 1.0× 144 2.5k
Siavoush Dastmalchi Iran 31 610 0.5× 1.3k 1.4× 225 0.5× 258 0.8× 362 1.5× 178 3.2k
Rajesh N. Gacche India 29 867 0.8× 987 1.1× 305 0.6× 153 0.5× 324 1.3× 105 2.7k
Romano Silvestri Italy 39 3.3k 3.0× 1.6k 1.7× 549 1.1× 302 1.0× 322 1.3× 191 5.5k
Rosanna Filosa Italy 30 732 0.7× 796 0.9× 272 0.6× 82 0.3× 253 1.0× 83 2.4k
Caterina Fattorusso Italy 33 1.0k 0.9× 1.3k 1.4× 566 1.2× 442 1.4× 258 1.0× 94 2.8k
Sandeep Chaudhary India 26 911 0.8× 827 0.9× 152 0.3× 140 0.5× 163 0.7× 109 2.2k
Margherita Brindisi Italy 32 1.5k 1.4× 1.5k 1.6× 701 1.5× 732 2.4× 243 1.0× 109 3.7k

Countries citing papers authored by Vinod Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Vinod Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vinod Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Vinod Kumar. A scholar is included among the top collaborators of Vinod 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 Vinod Kumar. Vinod 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.
Albornoz, Eduardo A., Richard D. Gordon, Ibrahim Javed, et al.. (2025). Microglial Complement C5aR1 signalling drives inflammasome mediated neuropathology in Parkinson’s disease. Immunobiology. 230(4). 152955–152955.
2.
Kumar, Vinod, et al.. (2025). Pharmacophore-based virtual screening of the chromone derivatives as potential therapeutic for Alzheimer’s disease. Journal of Biomolecular Structure and Dynamics. 43(15). 8685–8699. 1 indexed citations
3.
Kumar, Ashwani, Shaurya Prakash, Antresh Kumar, et al.. (2025). Unravelling the potential of 2-(Bromo/polybromophenylamino)substituted-4-arylthiazoles: Synthesis, characterization, anticancer, antimicrobial, molecular docking, and ADMET studies. Journal of Molecular Structure. 1351. 144301–144301.
5.
Kumar, Naveen, Vishal Kumar, Jayapriya Mishra, et al.. (2024). In Vitro and In Vivo Investigations of Chromone Derivatives as Potential Multitarget-Directed Ligands: Cognitive Amelioration Utilizing a Scopolamine-Induced Zebrafish Model. ACS Chemical Neuroscience. 15(14). 2565–2585. 10 indexed citations
7.
Meenu, Maninder, et al.. (2023). Deep eutectic solvents (DESs) and natural deep eutectic solvents (NADESs): Designer solvents for green extraction of anthocyanin. Sustainable Chemistry and Pharmacy. 34. 101168–101168. 89 indexed citations
9.
Biharee, Avadh, et al.. (2023). An amalgamated molecular dynamic and Gaussian based 3D-QSAR study for the design of 2,4-thiazolidinediones as potential PTP1B inhibitors. Journal of Molecular Graphics and Modelling. 127. 108695–108695. 7 indexed citations
10.
Kumar, Vijay, et al.. (2023). Virtual screening and molecular dynamics simulation approach for the identification of potential multi-target directed ligands for the treatment of Alzheimer’s disease. Journal of Biomolecular Structure and Dynamics. 42(1). 509–527. 17 indexed citations
11.
Sharawat, Indar Kumar, et al.. (2023). Efficacy of a pre-specified timeline-based treatment protocol in children with acute repetitive seizures or seizure clusters. Journal of Neurosciences in Rural Practice. 14(2). 264–271. 1 indexed citations
13.
Dwivedi, Ashish Ranjan, et al.. (2022). Synthesis and Evaluation of Antimicrobial Activity of N-Substituted Indole Derivatives and Molecular Docking Studies. Current Organic Chemistry. 26(16). 1565–1574. 1 indexed citations
14.
Kumar, Bhupinder, Ashish Ranjan Dwivedi, Tania Arora, et al.. (2022). Design, Synthesis, and Pharmacological Evaluation of N-Propargylated Diphenylpyrimidines as Multitarget Directed Ligands for the Treatment of Alzheimer’s Disease. ACS Chemical Neuroscience. 13(14). 2122–2139. 33 indexed citations
15.
Prasad, Amit, Vinod Kumar, Ashish Ranjan Dwivedi, et al.. (2022). Benzotriazole Substituted 2-Phenylquinazolines as Anticancer Agents:Synthesis, Screening, Antiproliferative and Tubulin Polymerization InhibitionActivity. Current Cancer Drug Targets. 23(4). 278–292. 3 indexed citations
16.
17.
Dwivedi, Ashish Ranjan, et al.. (2020). Role of Peroxisome Proliferator-Activated Receptor Gamma (PPARγ) in Different Disease States: Recent Updates. Current Medicinal Chemistry. 28(16). 3193–3215. 40 indexed citations
18.
Dwivedi, Ashish Ranjan, Amandeep Thakur, Vijay Kumar, Ira Skvortsova, & Vinod Kumar. (2019). Targeting Cancer Stem Cells Pathways for the Effective Treatment of Cancer. Current Drug Targets. 21(3). 258–278. 19 indexed citations
19.
Kaur, Raman Preet, et al.. (2018). Genomic alterations associated with HER2+ breast cancer risk and clinical outcome in response to trastuzumab. Molecular Biology Reports. 46(1). 823–831. 9 indexed citations
20.
Kumar, Ramesh, Vinod Kumar, Surajpal Verma, & R Uppal. (1997). Pharmacokinetics of ciprofloxacin in cow calves. The Indian Journal of Animal Sciences. 67(6). 505–506. 3 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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