G. Deepika

530 citations
8 papers · 378 · h-index 5

Impact in

  • Biomaterials top 10%
    • Electrospun Nanofibers in Biomedical Applications
    • Silk-based biomaterials and applications
    • Nanocomposite Films for Food Packaging
    • Dyeing and Modifying Textile Fibers

Papers in

G. Deepika

7 papers receiving 358 citations

Peers

G. Deepika
Comparison fields: 5 of 80
  • Biomaterials 160
  • Building and Construction 148
  • Dermatology 56
  • Drug Discovery 1
  • Pharmaceutical Science 19
Replace Shamshad Ali with:
Shamshad Ali Pakistan
El‐Amir M. Emam Egypt
Mehmet Orhan Türkiye
Rakia Refaie Egypt
Xinxing Cui China
Sang Cheon Lee South Korea
Venkateshwarapuram Rengaswami Giri Dev India
Dilek Kut Türkiye
Asis Mukhopadhyay India
Panpan Duan China
G. Deepika relative to Shamshad Ali Pakistan Shamshad Ali's profile →
Citations per field
00.5×1.5×1.9×
Shamshad Ali · 1×
Citations per year

Countries citing papers authored by G. Deepika

Since Specialization
Citations

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

Fields of papers citing papers by G. Deepika

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside G. 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 G. Deepika Line = papers co-authored together G. Deepika links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2008204
2 200872
3 200938
4 201237
5 201023
6 20252
7 20231
8 20231

About G. Deepika

G. Deepika is a scholar working on Biomaterials, Biomedical Engineering, Electrical and Electronic Engineering, Surgery and Computer Networks and Communications, having authored 8 papers that have together received 378 indexed citations. Recurring topics across this work include Electrospun Nanofibers in Biomedical Applications (3 papers), Bone Tissue Engineering Materials (2 papers), Imbalanced Data Classification Techniques (1 paper), Artificial Intelligence in Healthcare (1 paper), Optical Network Technologies (1 paper), Energy Efficient Wireless Sensor Networks (1 paper), Bee Products Chemical Analysis (1 paper) and Nanoparticle-Based Drug Delivery (1 paper). The work is most often cited by research in Biomaterials (160 citations), Building and Construction (148 citations), Dermatology (56 citations), Drug Discovery (1 citation) and Pharmaceutical Science (19 citations). G. Deepika has collaborated with scholars based in India, Singapore and Malaysia. Frequent co-authors include Seeram Ramakrishna, Jayarama Reddy Venugopal, V. R. Giri Dev, S. Sudha, Aw Tar Choon, Sharon Low, Molamma P. Prabhakaran, Yanzhong Zhang, R. Rajeswari and Ariff Bongso. Their work appears in journals such as Current Pharmaceutical Design, Journal of Biomaterials Science Polymer Edition, Carbohydrate Polymers and Cell Biology International.

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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