M Deepika

420 total citations
11 papers, 340 citations indexed

About

M Deepika is a scholar working on Molecular Biology, Materials Chemistry and Biomedical Engineering. According to data from OpenAlex, M Deepika has authored 11 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Materials Chemistry and 3 papers in Biomedical Engineering. Recurrent topics in M Deepika's work include Nanoparticles: synthesis and applications (3 papers), Essential Oils and Antimicrobial Activity (2 papers) and Graphene and Nanomaterials Applications (2 papers). M Deepika is often cited by papers focused on Nanoparticles: synthesis and applications (3 papers), Essential Oils and Antimicrobial Activity (2 papers) and Graphene and Nanomaterials Applications (2 papers). M Deepika collaborates with scholars based in India, South Korea and United Kingdom. M Deepika's co-authors include Thirumurugan Ramasamy, Srinivasan Sivasubramanian, Ramar Thangam, K. Jeganathan, Arun Sridhar, R.T.V. Vimala, Shenbagamoorthy Sundarraj, Siva Vijayakumar Tharumasivam, P. Santhanam and Kumpati Premkumar and has published in prestigious journals such as Materials Science and Engineering C, Biomedicine & Pharmacotherapy and Food Control.

In The Last Decade

M Deepika

11 papers receiving 335 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M Deepika India 8 114 68 67 57 50 11 340
Joana R. Costa Portugal 8 75 0.7× 61 0.9× 90 1.3× 43 0.8× 57 1.1× 11 316
Lihang Chen China 13 108 0.9× 48 0.7× 69 1.0× 26 0.5× 26 0.5× 28 395
Navaneethan Raju Thailand 9 124 1.1× 72 1.1× 153 2.3× 38 0.7× 22 0.4× 14 405
Yuliya Hrynets Canada 13 167 1.5× 73 1.1× 158 2.4× 26 0.5× 47 0.9× 24 492
Tamer I.M. Ragab Egypt 14 110 1.0× 47 0.7× 120 1.8× 131 2.3× 43 0.9× 29 446
Ji Hoon Ha South Korea 13 136 1.2× 58 0.9× 68 1.0× 36 0.6× 30 0.6× 39 417
Alicia S. Ombredane Brazil 11 102 0.9× 79 1.2× 52 0.8× 52 0.9× 47 0.9× 17 352
Amit Kumar Srivastav India 13 66 0.6× 67 1.0× 79 1.2× 52 0.9× 53 1.1× 32 344
Rajashri R. Naik Jordan 14 113 1.0× 37 0.5× 90 1.3× 87 1.5× 34 0.7× 30 484
Fábio de Oliveira Silva Ribeiro Brazil 14 57 0.5× 124 1.8× 112 1.7× 75 1.3× 60 1.2× 39 380

Countries citing papers authored by M Deepika

Since Specialization
Citations

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

Fields of papers citing papers by M Deepika

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M Deepika

This figure shows the co-authorship network connecting the top 25 collaborators of M Deepika. A scholar is included among the top collaborators of M Deepika 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 M Deepika. M Deepika is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Narayanan, Mathiyazhagan, M Deepika, Ying Ma, et al.. (2021). Phyto-fabrication, characterization, and biomedical activity of silver nanoparticles mediated from an epiphytic plant Luisia tenuifolia Blume. Applied Nanoscience. 13(5). 3347–3357. 11 indexed citations
2.
Sivaraj, C, et al.. (2019). Antioxidant, Antibacterial Activities and GC-MS Analysis of Fresh Rose Petals Aqueous Extract of Rosa damascena Mill L.. Journal of Drug Delivery and Therapeutics. 9. 68–77. 10 indexed citations
3.
Deepika, M, Ramar Thangam, Siva Vijayakumar Tharumasivam, et al.. (2019). Antibacterial synergy between rutin and florfenicol enhances therapeutic spectrum against drug resistant Aeromonas hydrophila. Microbial Pathogenesis. 135. 103612–103612. 45 indexed citations
4.
Deepika, M, Ramar Thangam, R.T.V. Vimala, et al.. (2019). Dual drug loaded PLGA nanospheres for synergistic efficacy in breast cancer therapy. Materials Science and Engineering C. 103. 109716–109716. 36 indexed citations
5.
Deepika, M, Ramar Thangam, Shenbagamoorthy Sundarraj, et al.. (2019). Co-delivery of Diverse Therapeutic Compounds Using PEG–PLGA Nanoparticle Cargo against Drug-Resistant Bacteria: An Improved Anti-biofilm Strategy. ACS Applied Bio Materials. 3(1). 385–399. 41 indexed citations
6.
Ramakrishnan, K.R., et al.. (2018). Design and Development Mems Based Microneedle for Transdermal Drug Delivery System. Engineering Reports. 1(2). 103–110. 4 indexed citations
7.
Deepika, M, et al.. (2018). A novel rutin-fucoidan complex based phytotherapy for cervical cancer through achieving enhanced bioavailability and cancer cell apoptosis. Biomedicine & Pharmacotherapy. 109. 1181–1195. 85 indexed citations
8.
Deepika, M, et al.. (2018). Surface engineered Amphora subtropica frustules using chitosan as a drug delivery platform for anticancer therapy. Materials Science and Engineering C. 94. 56–64. 31 indexed citations
10.
Deepika, M. (2015). Estimating the Risk of Hepatocellular Carcinoma in Developing Countries. 4(1). 1 indexed citations
11.
Deepika, M. (2015). An Overview on Nanoparticles. 3(1). 9–13. 1 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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