Ramesh Badisa

1.3k total citations
50 papers, 1.1k citations indexed

About

Ramesh Badisa is a scholar working on Molecular Biology, Cancer Research and Plant Science. According to data from OpenAlex, Ramesh Badisa has authored 50 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 10 papers in Cancer Research and 9 papers in Plant Science. Recurrent topics in Ramesh Badisa's work include Heavy Metal Exposure and Toxicity (7 papers), Neuroscience and Neuropharmacology Research (7 papers) and Bioactive Compounds and Antitumor Agents (6 papers). Ramesh Badisa is often cited by papers focused on Heavy Metal Exposure and Toxicity (7 papers), Neuroscience and Neuropharmacology Research (7 papers) and Bioactive Compounds and Antitumor Agents (6 papers). Ramesh Badisa collaborates with scholars based in United States, Greece and France. Ramesh Badisa's co-authors include Carl B. Goodman, Lekan M. Latinwo, Selina Darling‐Reed, John S. Cooperwood, Patrick Joseph, Elizabeth Mazzio, Karam F. A. Soliman, Veera L. D. Badisa, Maria Couladis and Christopher O. Ikediobi and has published in prestigious journals such as PLoS ONE, Scientific Reports and The FASEB Journal.

In The Last Decade

Ramesh Badisa

49 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ramesh Badisa United States 19 395 216 176 122 107 50 1.1k
Nilüfer Çinkılıç Türkiye 21 332 0.8× 186 0.9× 169 1.0× 85 0.7× 203 1.9× 45 1.1k
Miyako Haneda Japan 16 288 0.7× 165 0.8× 123 0.7× 47 0.4× 53 0.5× 26 790
Makoto Chino Japan 19 383 1.0× 215 1.0× 196 1.1× 77 0.6× 40 0.4× 38 1.1k
Naoual Boujedaini France 19 290 0.7× 144 0.7× 131 0.7× 85 0.7× 59 0.6× 34 929
Ole Vang Denmark 24 825 2.1× 201 0.9× 151 0.9× 49 0.4× 162 1.5× 50 1.6k
Sreemanti Das India 19 378 1.0× 166 0.8× 56 0.3× 67 0.5× 104 1.0× 24 1.0k
Majid Ahmad Ganaie Saudi Arabia 22 336 0.9× 211 1.0× 99 0.6× 63 0.5× 76 0.7× 40 1.2k
Deba Prasad Mandal India 20 433 1.1× 113 0.5× 114 0.6× 37 0.3× 234 2.2× 45 1.1k
Jayeeta Das India 19 331 0.8× 167 0.8× 57 0.3× 74 0.6× 77 0.7× 27 982
Imtıyaz Murtaza India 16 420 1.1× 210 1.0× 37 0.2× 63 0.5× 76 0.7× 58 915

Countries citing papers authored by Ramesh Badisa

Since Specialization
Citations

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

Fields of papers citing papers by Ramesh Badisa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ramesh Badisa

This figure shows the co-authorship network connecting the top 25 collaborators of Ramesh Badisa. A scholar is included among the top collaborators of Ramesh Badisa 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 Ramesh Badisa. Ramesh Badisa 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.
Mazzio, Elizabeth, et al.. (2023). Functional immune boosters; the herb or its dead microbiome? Antigenic TLR4 agonist MAMPs found in 65 medicinal roots and algae’s. Journal of Functional Foods. 107. 105687–105687. 1 indexed citations
2.
Mazzio, Elizabeth, et al.. (2021). Metabolic Response to the Mitochondrial Toxin 1-Methyl-4-phenylpyridinium (MPP+) in LDH-A/B Double-knockout LS174T Colon Cancer Cells. Cancer Genomics & Proteomics. 18(3 Suppl). 385–405. 1 indexed citations
3.
Mazzio, Elizabeth, Sunil Kumar Surapaneni, Shallu Kutlehria, et al.. (2021). Synergistic effects of methyl 2-cyano-3,11-dioxo-18beta-olean-1,-12-dien-30-oate and erlotinib on erlotinib-resistant non-small cell lung cancer cells. Journal of Pharmaceutical Analysis. 11(6). 799–807. 6 indexed citations
4.
5.
Badisa, Ramesh, et al.. (2019). Identification of cytotoxic markers in methamphetamine treated rat C6 astroglia-like cells. Scientific Reports. 9(1). 9412–9412. 10 indexed citations
6.
Badisa, Ramesh, et al.. (2018). Identification of biochemical and cytotoxic markers in cocaine treated PC12 cells. Scientific Reports. 8(1). 2710–2710. 11 indexed citations
7.
Badisa, Ramesh, Sungsool Wi, Zachary Jones, et al.. (2018). Cellular and molecular responses to acute cocaine treatment in neuronal-like N2a cells: potential mechanism for its resistance in cell death. Cell Death Discovery. 4(1). 13–13. 16 indexed citations
8.
Mazzio, Elizabeth, Ramesh Badisa, Suresh Eyunni, et al.. (2016). Substituted Tetrahydroisoquinolines as Microtubule-destabilizing Agents in Triple Νegative Human Breast Cancer Cells. Anticancer Research. 36(10). 5043–5052. 7 indexed citations
9.
Latinwo, Lekan M., et al.. (2015). Effect of cadmium on the expression levels of interleukin-1α and interleukin-10 cytokines in human lung cells. Molecular Medicine Reports. 12(5). 6422–6426. 28 indexed citations
10.
Badisa, Ramesh, et al.. (2014). Milk thistle seed extract protects rat C6 astroglial cells from acute cocaine toxicity. Molecular Medicine Reports. 10(5). 2287–2292. 4 indexed citations
11.
Badisa, Ramesh, et al.. (2013). Attenuating effect of N-acetyl-L-cysteine against acute cocaine toxicity in rat C6 astroglial cells. International Journal of Molecular Medicine. 32(2). 497–502. 15 indexed citations
12.
Badisa, Ramesh, et al.. (2012). Regulation of mammalian MOR-1 gene expression after chronic treatment with morphine. International Journal of Molecular Medicine. 30(6). 1493–1497. 7 indexed citations
13.
Badisa, Ramesh & Carl B. Goodman. (2012). Effects of chronic cocaine in rat C6 astroglial cells. International Journal of Molecular Medicine. 30(3). 687–692. 18 indexed citations
14.
Badisa, Veera L. D., et al.. (2011). Mitigative action of monoisoamyl-2,3-dimercaptosuccinate (MiADMS) against cadmium-induced damage in cultured rat normal liver cells. Toxicology in Vitro. 25(8). 1733–1739. 10 indexed citations
15.
Badisa, Ramesh, Selina Darling‐Reed, & Karam F. A. Soliman. (2010). The Protective Role of d-Glucose Against 1-Methyl-4-Phenylpyridinium Ion (MPP+): Induced Mitochondrial Dysfunction in C6 Astroglial Cells. Neurochemical Research. 35(9). 1413–1421. 11 indexed citations
16.
Badisa, Veera L. D., et al.. (2007). Mechanism of DNA damage by cadmium and interplay of antioxidant enzymes and agents. Environmental Toxicology. 22(2). 144–151. 72 indexed citations
17.
Badisa, Ramesh, et al.. (2004). Pharmacological activities of some Argyranthemum species growing in the Canary Islands. Phytotherapy Research. 18(9). 763–767. 7 indexed citations
18.
Badisa, Ramesh, et al.. (2003). Cytotoxic activities of some Greek Labiatae herbs. Phytotherapy Research. 17(5). 472–476. 56 indexed citations
19.
Chaudhuri, Swapan K., et al.. (2002). Licamichauxiioic-A and -B Acids - TwoEnt-Kaurene Diterpenoids fromLicania Michauxii. Natural product letters. 16(1). 39–45. 13 indexed citations
20.

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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