Jayaraj Ravindran

4.5k total citations · 2 hit papers
36 papers, 3.1k citations indexed

About

Jayaraj Ravindran is a scholar working on Molecular Biology, Environmental Chemistry and Plant Science. According to data from OpenAlex, Jayaraj Ravindran has authored 36 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 10 papers in Environmental Chemistry and 10 papers in Plant Science. Recurrent topics in Jayaraj Ravindran's work include Aquatic Ecosystems and Phytoplankton Dynamics (8 papers), Marine Toxins and Detection Methods (6 papers) and Biocrusts and Microbial Ecology (5 papers). Jayaraj Ravindran is often cited by papers focused on Aquatic Ecosystems and Phytoplankton Dynamics (8 papers), Marine Toxins and Detection Methods (6 papers) and Biocrusts and Microbial Ecology (5 papers). Jayaraj Ravindran collaborates with scholars based in India and United States. Jayaraj Ravindran's co-authors include Bharat B. Aggarwal, Sahdeo Prasad, Sreedev Puthur, P. Venkata Rao, A.S.B. Bhaskar, P.V. Lakshmana Rao, Nimesh Gupta, Bokyung Sung, Mona Agrawal and Vivek R. Yadav and has published in prestigious journals such as Journal of Biological Chemistry, Cancer Research and Free Radical Biology and Medicine.

In The Last Decade

Jayaraj Ravindran

35 papers receiving 3.0k citations

Hit Papers

Review Article. Organochlorine pesticides, their to... 2009 2026 2014 2020 2016 2009 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jayaraj Ravindran India 21 1.2k 496 479 385 382 36 3.1k
Lianmei Hu China 32 1.0k 0.9× 294 0.6× 104 0.2× 682 1.8× 253 0.7× 97 2.8k
Young Han Lee South Korea 38 2.7k 2.3× 515 1.0× 321 0.7× 177 0.5× 430 1.1× 193 5.8k
Lusânia Maria Greggi Antunes Brazil 38 1.3k 1.1× 689 1.4× 308 0.6× 438 1.1× 472 1.2× 161 4.3k
Tamio Maitani Japan 33 1.3k 1.1× 1.3k 2.6× 124 0.3× 804 2.1× 161 0.4× 222 4.2k
Riming Huang China 30 1.4k 1.2× 1.0k 2.1× 78 0.2× 227 0.6× 252 0.7× 175 3.7k
Md. Asaduzzaman Khan China 35 2.1k 1.8× 822 1.7× 71 0.1× 223 0.6× 556 1.5× 134 5.0k
Emı́lia Sousa Portugal 41 2.0k 1.7× 1.2k 2.4× 216 0.5× 172 0.4× 228 0.6× 215 5.9k
Fung‐Jou Lu Taiwan 42 1.9k 1.6× 776 1.6× 77 0.2× 162 0.4× 327 0.9× 135 5.2k
Goran Gajski Croatia 32 922 0.8× 331 0.7× 53 0.1× 606 1.6× 691 1.8× 128 3.3k
Roger Rahmani France 43 1.3k 1.1× 437 0.9× 75 0.2× 1.3k 3.4× 514 1.3× 137 4.9k

Countries citing papers authored by Jayaraj Ravindran

Since Specialization
Citations

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

Fields of papers citing papers by Jayaraj Ravindran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jayaraj Ravindran

This figure shows the co-authorship network connecting the top 25 collaborators of Jayaraj Ravindran. A scholar is included among the top collaborators of Jayaraj Ravindran 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 Jayaraj Ravindran. Jayaraj Ravindran 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.
Ravindran, Jayaraj, et al.. (2023). Comparative phytochemical profiling of different parts of Saraca asoca. Materials Today Proceedings. 3 indexed citations
2.
Dev, Suma Arun, et al.. (2021). Quantification of adulteration in traded ayurvedic raw drugs employing machine learning approaches with DNA barcode database. 3 Biotech. 11(11). 463–463. 6 indexed citations
3.
Ravindran, Jayaraj, et al.. (2021). The efficacy of machine learning algorithm for raw drug authentication in Coscinium fenestratum (Gaertn.) Colebr. employing a DNA barcode database. Physiology and Molecular Biology of Plants. 27(3). 605–617. 4 indexed citations
4.
Dev, Suma Arun, et al.. (2020). Pitfalls and promises of raw drug identification techniques in the ayurvedic industry: an overview. 3 Biotech. 10(11). 497–497. 3 indexed citations
5.
Kumar, Om, Jayaraj Ravindran, Mohsin Khan, et al.. (2011). Differential toxicity profile of ricin isoforms correlates with their glycosylation levels. Toxicology. 282(1-2). 56–67. 22 indexed citations
6.
Kunnumakkara, Ajaikumar B., Bokyung Sung, Jayaraj Ravindran, et al.. (2011). Zyflamend suppresses growth and sensitizes human pancreatic tumors to gemcitabine in an orthotopic mouse model through modulation of multiple targets. International Journal of Cancer. 131(3). E292–303. 52 indexed citations
7.
Kunnumakkara, Ajaikumar B., Bokyung Sung, Jayaraj Ravindran, et al.. (2010). γ-Tocotrienol Inhibits Pancreatic Tumors and Sensitizes Them to Gemcitabine Treatment by Modulating the Inflammatory Microenvironment. Cancer Research. 70(21). 8695–8705. 107 indexed citations
9.
Ravindran, Jayaraj, Nimesh Gupta, Mona Agrawal, A.S.B. Bhaskar, & P. Venkata Rao. (2010). Modulation of ROS/MAPK signaling pathways by okadaic acid leads to cell death via, mitochondrial mediated caspase-dependent mechanism. APOPTOSIS. 16(2). 145–161. 121 indexed citations
10.
Ravindran, Jayaraj, Mona Agrawal, Nimesh Gupta, & P. Venkata Rao. (2010). Alteration of blood brain barrier permeability by T-2 toxin: Role of MMP-9 and inflammatory cytokines. Toxicology. 280(1-2). 44–52. 68 indexed citations
11.
Ravindran, Jayaraj, Sahdeo Prasad, & Bharat B. Aggarwal. (2009). Curcumin and Cancer Cells: How Many Ways Can Curry Kill Tumor Cells Selectively?. The AAPS Journal. 11(3). 495–510. 621 indexed citations breakdown →
13.
Prasad, Sahdeo, Jayaraj Ravindran, & Bharat B. Aggarwal. (2009). NF-κB and cancer: how intimate is this relationship. Molecular and Cellular Biochemistry. 336(1-2). 25–37. 335 indexed citations
14.
Ravindran, Jayaraj, Nimesh Gupta, & P. Venkata Rao. (2008). Multiple signal transduction pathways in okadaic acid induced apoptosis in HeLa cells. Toxicology. 256(1-2). 118–127. 36 indexed citations
15.
Ravindran, Jayaraj, Utsab Deb, A.S.B. Bhaskar, G. B. K. S. Prasad, & P. Venkata Rao. (2007). Hepatoprotective efficacy of certain flavonoids against microcystin induced toxicity in mice. Environmental Toxicology. 22(5). 472–479. 74 indexed citations
16.
Ravindran, Jayaraj, T. Anand, & P.V. Lakshmana Rao. (2006). Activity and gene expression profile of certain antioxidant enzymes to microcystin-LR induced oxidative stress in mice. Toxicology. 220(2-3). 136–146. 92 indexed citations
17.
Ravindran, Jayaraj & P.V. Lakshmana Rao. (2006). Protein phosphorylation profile and adduct formation in liver and kidney of microcystin-LR-treated mice. Toxicon. 48(3). 272–277. 18 indexed citations
18.
Rao, P. Venkata, Jayaraj Ravindran, A.S.B. Bhaskar, et al.. (2005). Mechanism of ricin-induced apoptosis in human cervical cancer cells. Biochemical Pharmacology. 69(5). 855–865. 65 indexed citations
19.
Rao, P.V. Lakshmana, Nimesh Gupta, & Jayaraj Ravindran. (2004). Screening of certain chemoprotectants against cyclic peptide toxin microcystin-LR. Indian Journal of Pharmacology. 36(2). 87–92. 10 indexed citations
20.
Rao, P. Venkata, Jayaraj Ravindran, & A.S.B. Bhaskar. (2004). Protective efficacy and the recovery profile of certain chemoprotectants against lethal poisoning by microcystin-LR in mice. Toxicon. 44(7). 723–730. 22 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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