Vinod Devaraji

599 total citations
28 papers, 505 citations indexed

About

Vinod Devaraji is a scholar working on Molecular Biology, Organic Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Vinod Devaraji has authored 28 papers receiving a total of 505 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 13 papers in Organic Chemistry and 8 papers in Computational Theory and Mathematics. Recurrent topics in Vinod Devaraji's work include Synthesis and biological activity (9 papers), Computational Drug Discovery Methods (8 papers) and Cancer therapeutics and mechanisms (4 papers). Vinod Devaraji is often cited by papers focused on Synthesis and biological activity (9 papers), Computational Drug Discovery Methods (8 papers) and Cancer therapeutics and mechanisms (4 papers). Vinod Devaraji collaborates with scholars based in India, Saudi Arabia and Japan. Vinod Devaraji's co-authors include Ritika Joshi, Shankar G. Alegaon, K. R. Alagawadi, P. Bhavana, Sujit Kumar Ghosh, Bijo Mathew, Minakshi Garg, Lilly M. Saleena, Sivaraman Jayanthi and Jerad Suresh and has published in prestigious journals such as The Journal of Physical Chemistry B, RSC Advances and International Journal of Biological Macromolecules.

In The Last Decade

Vinod Devaraji

28 papers receiving 493 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 Devaraji India 14 309 163 91 81 64 28 505
Farah Nawaz India 10 669 2.2× 241 1.5× 97 1.1× 112 1.4× 74 1.2× 12 885
Burçin Türkmenoğlu Türkiye 13 340 1.1× 149 0.9× 142 1.6× 108 1.3× 91 1.4× 67 496
Mohammed T. El‐Saadi Egypt 17 535 1.7× 236 1.4× 62 0.7× 172 2.1× 75 1.2× 40 761
Ayşegül Karaküçük‐İyidoğan Türkiye 12 345 1.1× 108 0.7× 114 1.3× 102 1.3× 137 2.1× 35 469
Ihsan A. Shehata Egypt 15 574 1.9× 140 0.9× 44 0.5× 64 0.8× 55 0.9× 35 734
Sarangapani Manda India 13 435 1.4× 116 0.7× 48 0.5× 44 0.5× 76 1.2× 42 539
Marija R. Popović-Nikolić Serbia 7 177 0.6× 279 1.7× 208 2.3× 138 1.7× 63 1.0× 16 614
Violeta Marković Serbia 16 525 1.7× 173 1.1× 72 0.8× 40 0.5× 178 2.8× 34 716
Nilanchala Sahu India 5 374 1.2× 133 0.8× 40 0.4× 79 1.0× 39 0.6× 9 534
Gülgün Ayhan‐Kılcıgil Türkiye 15 788 2.6× 180 1.1× 107 1.2× 72 0.9× 66 1.0× 39 893

Countries citing papers authored by Vinod Devaraji

Since Specialization
Citations

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

Fields of papers citing papers by Vinod Devaraji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vinod Devaraji

This figure shows the co-authorship network connecting the top 25 collaborators of Vinod Devaraji. A scholar is included among the top collaborators of Vinod Devaraji 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 Devaraji. Vinod Devaraji 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.
Dubey, Akanksha, et al.. (2023). Investigating anti-inflammatory and apoptotic actions of fucoidan concentrating on computational and therapeutic applications. 3 Biotech. 13(11). 355–355. 1 indexed citations
2.
Devaraji, Vinod & Sivaraman Jayanthi. (2023). Exploring the potential of machine learning to design antidiabetic molecules: a comprehensive study with experimental validation. Journal of Biomolecular Structure and Dynamics. 42(23). 13290–13311. 1 indexed citations
3.
Devaraji, Vinod & Sivaraman Jayanthi. (2023). Computational formulation study of insulin on biodegradable polymers. RSC Advances. 13(29). 20282–20297. 3 indexed citations
4.
Devaraji, Vinod, et al.. (2022). In silico Exploration of Dakshina Kannada Medicinal Plants as Anti-SARS-CoV-2 Agents by Molecular Docking and Simulation Approaches. Letters in Drug Design & Discovery. 20(10). 1544–1556. 2 indexed citations
5.
Devaraji, Vinod, et al.. (2022). Pharmacophore Modeling, 3D QSAR, Molecular Dynamics Studies and Virtual Screening on Pyrazolopyrimidines as anti-Breast Cancer Agents. Polycyclic aromatic compounds. 43(8). 7456–7473. 8 indexed citations
6.
Pathak, Ankita, Yuba Raj Pokharel, Vinod Devaraji, et al.. (2021). Pharmacophore based drug design and synthesis of oxindole bearing hybrid as anticancer agents. Bioorganic Chemistry. 116. 105358–105358. 14 indexed citations
7.
Devaraji, Vinod, et al.. (2019). A novel quinoline-appended chalcone derivative as potential Plasmodium falciparum gametocytocide. Journal of Vector Borne Diseases. 56(3). 189–189. 7 indexed citations
8.
9.
Patel, Shanaya, Faraz Shaikh, Vinod Devaraji, et al.. (2016). Insights into the structural perturbations of spliced variants of CD44: a modeling and simulation approach. Journal of Biomolecular Structure and Dynamics. 35(2). 354–367. 6 indexed citations
10.
Pravin, Narayanaperumal, Vinod Devaraji, & Natarajan Raman. (2015). Targeting protein kinase and DNA molecules by diimine–phthalate complexes in antiproliferative activity. International Journal of Biological Macromolecules. 79. 837–855. 18 indexed citations
11.
Devaraji, Vinod, et al.. (2015). Groove binding mediated structural modulation and DNA cleavage by quinoline appended chalcone derivative. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 151. 605–615. 20 indexed citations
12.
13.
Jamil, Kaiser, et al.. (2014). Structure and putative signaling mechanism of Protease activated receptor 2 (PAR2) – A promising target for breast cancer. Journal of Molecular Graphics and Modelling. 53. 179–199. 19 indexed citations
14.
Mathew, Bijo, Jerad Suresh, S. Anbazhagan, & Vinod Devaraji. (2014). Hypnotic Profile of Imines from Benzimidazole Chalcones: Mechanism of Synthesis, DFT Studies and in silico Screening. Central Nervous System Agents in Medicinal Chemistry. 13(3). 207–216. 3 indexed citations
15.
Devaraji, Vinod, et al.. (2014). Virtual Screening and Discovery of Novel Aurora Kinase Inhibitors. Current Topics in Medicinal Chemistry. 14(17). 2006–2019. 17 indexed citations
16.
Devaraji, Vinod, et al.. (2014). Combined structure- and ligand-based pharmacophore modeling and molecular dynamics simulation studies to identify selective inhibitors of MMP-8. Journal of Molecular Modeling. 20(5). 2191–2191. 16 indexed citations
17.
Alegaon, Shankar G., et al.. (2014). 1,3,4-Trisubstituted pyrazole analogues as promising anti-inflammatory agents. Bioorganic Chemistry. 54. 51–59. 73 indexed citations
18.
Chattopadhyay, Anjan, et al.. (2014). Design, Synthesis, Physicochemical Studies, Solvation, and DNA Damage of Quinoline-Appended Chalcone Derivative: Comprehensive Spectroscopic Approach toward Drug Discovery. The Journal of Physical Chemistry B. 118(26). 7257–7266. 33 indexed citations
19.
Devaraji, Vinod, et al.. (2013). Field- and Gaussian-based 3D-QSAR studies on barbiturate analogs as MMP-9 inhibitors. Medicinal Chemistry Research. 22(11). 5303–5313. 22 indexed citations
20.
Alegaon, Shankar G., et al.. (2013). Synthesis, characterization, and biological evaluation of thiazolidine-2,4-dione derivatives. Medicinal Chemistry Research. 23(2). 987–994. 16 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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