M Deepika

420 citations
11 papers · 340 · h-index 8

Impact in

Papers in

    • Bacterial biofilms and quorum sensing 2
    • Advanced biosensing and bioanalysis techniques 1
    • Nanoparticles: synthesis and applications 3
    • Advanced Nanomaterials in Catalysis 1

M Deepika

11 papers receiving 335 citations

Peers

M Deepika
Comparison fields: 5 of 86
  • Biochemistry 47
  • Pharmaceutical Science 32
  • Biomaterials 68
  • Aquatic Science 31
  • Molecular Medicine 21
Replace Kaushik Kumar Bharadwaj with:
Kaushik Kumar Bharadwaj India
Rajashri R. Naik Jordan
Raimundo Rafael de Almeida Brazil
Ji Hoon Ha South Korea
Abdolghani Ameri Iran
Velichka Andonova Bulgaria
Abdul Baquee Ahmed India
Navaneethan Raju Thailand
Pouneh Ebrahimi Iran
Verônica Ferrari Cervi Brazil
M Deepika relative to Kaushik Kumar Bharadwaj India Kaushik Kumar Bharadwaj's profile →
Citations per field
00.5×1.5×2.4×
Kaushik Kumar Bharadwaj · 1×
Citations per year

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-authors

The 20 scholars most cited alongside M Deepika, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M Deepika Line = papers co-authored together M Deepika links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 201885
2 201875
3 201945
4 201941
5 201936
6 201831
7 202111
8 201910
9
Design and Development Mems Based Microneedle for Transdermal Drug Delivery System
20184
10
Estimating the Risk of Hepatocellular Carcinoma in Developing Countries
20151
11
An Overview on Nanoparticles
20151

About M Deepika

M Deepika is a scholar working on Molecular Biology, Materials Chemistry, Biomedical Engineering, Pharmaceutical Science and Biomaterials, having authored 11 papers that have together received 340 indexed citations. Recurring topics across this work include Nanoparticles: synthesis and applications (3 papers), Graphene and Nanomaterials Applications (2 papers), Bacterial biofilms and quorum sensing (2 papers), Essential Oils and Antimicrobial Activity (2 papers), Antimicrobial Peptides and Activities (2 papers), Advanced Nanomaterials in Catalysis (1 paper), Advanced biosensing and bioanalysis techniques (1 paper) and Advanced Fiber Optic Sensors (1 paper). The work is most often cited by research in Biochemistry (47 citations), Pharmaceutical Science (32 citations), Biomaterials (68 citations), Aquatic Science (31 citations) and Molecular Medicine (21 citations). M Deepika has collaborated with scholars based in India, South Korea and Saudi Arabia. Frequent co-authors include Thirumurugan Ramasamy, Ramar Thangam, Srinivasan Sivasubramanian, K. Jeganathan, Arun Sridhar, R.T.V. Vimala, Shenbagamoorthy Sundarraj, Siva Vijayakumar Tharumasivam, P. Santhanam and Kumpati Premkumar. Their work appears in journals such as Materials Science and Engineering C, Microbial Pathogenesis, Biomedicine & Pharmacotherapy, Food Control and ACS Applied Bio Materials.

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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