V. Ravichandiran

6.4k total citations · 1 hit paper
263 papers, 4.3k citations indexed

About

V. Ravichandiran is a scholar working on Molecular Biology, Plant Science and Pharmacology. According to data from OpenAlex, V. Ravichandiran has authored 263 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 101 papers in Molecular Biology, 25 papers in Plant Science and 23 papers in Pharmacology. Recurrent topics in V. Ravichandiran's work include Computational Drug Discovery Methods (16 papers), Advanced Drug Delivery Systems (12 papers) and Analytical Chemistry and Chromatography (12 papers). V. Ravichandiran is often cited by papers focused on Computational Drug Discovery Methods (16 papers), Advanced Drug Delivery Systems (12 papers) and Analytical Chemistry and Chromatography (12 papers). V. Ravichandiran collaborates with scholars based in India, United States and Germany. V. Ravichandiran's co-authors include Sanjiv Singh, Upadhyayula Suryanarayana Murty, Dipanjan Ghosh, Syamal Roy, Hemant Kumar Srivastava, Suyash Pant, Jayaraman Anbu, Rajveer Singh, Dhritiman Dey and Amit Alexander and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

V. Ravichandiran

251 papers receiving 4.2k citations

Hit Papers

MCP-1: Function, regulati... 2021 2026 2022 2024 2021 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
V. Ravichandiran India 29 1.5k 521 389 381 300 263 4.3k
Imran Kazmi Saudi Arabia 42 2.5k 1.6× 350 0.7× 461 1.2× 300 0.8× 541 1.8× 296 6.3k
Mohamed A. Morsy Egypt 38 1.0k 0.7× 497 1.0× 197 0.5× 537 1.4× 252 0.8× 192 4.3k
Fahad A. Al‐Abbasi Saudi Arabia 33 1.6k 1.0× 198 0.4× 266 0.7× 284 0.7× 346 1.2× 252 4.3k
Kalyan Mitra India 35 1.4k 0.9× 442 0.8× 460 1.2× 360 0.9× 302 1.0× 143 3.9k
Harish Dureja India 33 1.1k 0.7× 636 1.2× 156 0.4× 298 0.8× 177 0.6× 215 3.6k
M. Moshahid A. Rizvi India 36 1.5k 1.0× 203 0.4× 389 1.0× 791 2.1× 454 1.5× 188 4.6k
Nabil A. Alhakamy Saudi Arabia 34 1.5k 1.0× 1.1k 2.1× 255 0.7× 361 0.9× 195 0.7× 214 4.5k
Muhammed Majeed United States 48 3.0k 2.0× 323 0.6× 496 1.3× 325 0.9× 532 1.8× 202 8.5k
Salman Khan Pakistan 40 1.5k 1.0× 391 0.8× 360 0.9× 224 0.6× 480 1.6× 134 4.3k
Rasedee Abdullah Malaysia 37 1.4k 0.9× 482 0.9× 218 0.6× 280 0.7× 652 2.2× 158 4.3k

Countries citing papers authored by V. Ravichandiran

Since Specialization
Citations

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

Fields of papers citing papers by V. Ravichandiran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V. Ravichandiran

This figure shows the co-authorship network connecting the top 25 collaborators of V. Ravichandiran. A scholar is included among the top collaborators of V. Ravichandiran 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 V. Ravichandiran. V. Ravichandiran 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.
Parihar, Vipan K., et al.. (2025). Amelioration of Arsenic Toxicity Using Phytoconstituents: Experimental Evidence, Mechanisms, and Strategies. Reviews of Environmental Contamination and Toxicology. 263(1).
4.
Roy, Subhadeep, et al.. (2024). Leveraging solid solubility and miscibility of etoricoxib in Soluplus® towards manufacturing of 3D printed etoricoxib tablets by additive manufacturing. International Journal of Pharmaceutics. 667(Pt A). 124881–124881. 4 indexed citations
5.
Unnikrishnan, S., et al.. (2024). Design and optimization strategies of PROTACs and its Application, Comparisons to other targeted protein degradation for multiple oncology therapies. Bioorganic Chemistry. 154. 107984–107984. 13 indexed citations
6.
Ravichandiran, V., et al.. (2024). Overcoming biological barriers: Precision engineered extracellular vesicles for personalized neuromedicine. 1(2). 100010–100010. 6 indexed citations
7.
Ravichandiran, V., et al.. (2024). A 3D in-vitro biomimicking Caco-2 intestinal permeability model-based assessment of physically modified telmisartan towards an alkalizer-free formulation development. European Journal of Pharmaceutics and Biopharmaceutics. 203. 114480–114480. 6 indexed citations
8.
Ghosh, Sumanta, Namdev More, Mounika Choppadandi, et al.. (2024). ECM-mimetic, NSAIDs loaded thermo-responsive, immunomodulatory hydrogel for rheumatoid arthritis treatment. BMC Biotechnology. 24(1). 26–26. 6 indexed citations
9.
Swain, Sharada Prasanna, et al.. (2024). Exploring SK/S1P/S1PR pathway as a target for antiviral drug development. SHILAP Revista de lepidopterología. 11. 100177–100177.
10.
Roy, Subhadeep, et al.. (2024). Mechanochemical Evaluation of a Hot Melt Extruded Ready-to-Print Etoricoxib Macrofilament as Printing Ink for Additive Manufacturing. Industrial & Engineering Chemistry Research. 63(19). 8633–8646. 1 indexed citations
11.
Kaur, Kulwinder, et al.. (2024). Decellularized extracellular matrix-based bioengineered 3D breast cancer scaffolds for personalized therapy and drug screening. Journal of Materials Chemistry B. 12(36). 8843–8867. 10 indexed citations
12.
13.
Ravichandiran, V., et al.. (2023). Progression of tuberculosis among patients with rheumatic diseases – A systematic review and meta-analysis. Indian Journal of Tuberculosis. 72(2). 174–182. 1 indexed citations
14.
Bhattacharya, Anamitra, et al.. (2023). Exploring the interaction between extracellular matrix components in a 3D organoid disease model to replicate the pathophysiology of breast cancer. Journal of Experimental & Clinical Cancer Research. 42(1). 343–343. 28 indexed citations
15.
Prasad, Surendra Rajit, Kiran Bharat Lokhande, Krishna Murti, et al.. (2023). 4-Methylesculetin ameliorates LPS-induced depression-like behavior through the inhibition of NLRP3 inflammasome. Frontiers in Pharmacology. 14. 1120508–1120508. 14 indexed citations
16.
Singh, Rajveer, et al.. (2022). Glucogallin Attenuates RAW 264.7 Cells from Arsenic Trioxide Induced Toxicity via the NF-ҡB/NLRP3 Pathway. Molecules. 27(16). 5263–5263. 8 indexed citations
18.
Ravichandiran, V., et al.. (2015). PRESCRIBING PATTERNS OF ANTIBIOTICS IN PAEDIATRICS FOR RESPIRATORY TRACT INFECTIONS/ DISORDERS IN TERTIARY CARE HOSPITAL. Asian Journal of Pharmaceutical and Clinical Research. 8(4). 259–261. 2 indexed citations
19.
Ravichandiran, V., et al.. (2015). WOUND HEALING POTENTIAL OF TRANSDERMAL PATCHES CONTAINING BIOACTIVE FRACTION FROM THE BARK OF FICUS RACEMOSA. International Journal of Pharmacy and Pharmaceutical Sciences. 7(6). 326–332. 10 indexed citations
20.
Hussain, Md. Sarfaraj, et al.. (2009). Evaluation of in vitro free radical scavenging potential of different fractions of Hygrophila auriculata (K. Schum) Heine.. 亚洲传统医药. 4(5). 179–187. 11 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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