V. G. Deepagan

2.8k citations
25 papers · 2.4k indexed · h-index 21

Impact in

Papers in

V. G. Deepagan

25 papers receiving 2.4k citations

Peers

V. G. Deepagan
Comparison fields: 5 of 109
  • Biomaterials 1.1k
  • Molecular Medicine 262
  • Pharmaceutical Science 225
  • Biomedical Engineering 1.3k
  • Materials Chemistry 632
Replace Orazio Vittorio with:
Orazio Vittorio Italy
Sudipta Senapati India
Arun Kumar Mahanta India
Fei Xiong China
Yan Liang China
Xiaoye Yang China
Wenxia Gao China
Xinru You China
Seunglee Kwon South Korea
V. G. Deepagan relative to Orazio Vittorio Italy Orazio Vittorio's profile →
Citations per field
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Orazio Vittorio · 1×
Citations per year

Countries citing papers authored by V. G. Deepagan

Since Specialization
Citations

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

Fields of papers citing papers by V. G. Deepagan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside V. G. Deepagan, 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 V. G. Deepagan Line = papers co-authored together V. G. Deepagan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202313
2 202049
3 201826
4 201811
5 201757
6 201746
7 2016369
8 2016161
9 2016270
10 201673
11 20141
12 201426
13 201488
14 201324
15 201310
16 2013297
17 201360
18 201237
19 201275
20 201166

About V. G. Deepagan

V. G. Deepagan is a scholar working on Biomaterials, Surfaces, Coatings and Films, Pharmaceutical Science, Biomedical Engineering and Molecular Medicine, having authored 25 papers that have together received 2.4k indexed citations. Recurring topics across this work include Nanoparticle-Based Drug Delivery (17 papers), Nanoplatforms for cancer theranostics (10 papers), Advanced Polymer Synthesis and Characterization (4 papers), Graphene and Nanomaterials Applications (4 papers), Advanced Nanomaterials in Catalysis (4 papers), Nanocluster Synthesis and Applications (3 papers), Gold and Silver Nanoparticles Synthesis and Applications (3 papers) and RNA Interference and Gene Delivery (3 papers). The work is most often cited by research in Biomaterials (1.1k citations), Molecular Medicine (262 citations), Pharmaceutical Science (225 citations), Biomedical Engineering (1.3k citations) and Materials Chemistry (632 citations). V. G. Deepagan has collaborated with scholars based in South Korea, Australia and India. Frequent co-authors include Jae Hyung Park, Doo Sung Lee, Hyewon Ko, Dong Gil You, R. Jayakumar, Thavasyappan Thambi, Kwangmeyung Kim, Wooram Um, Ick Chan Kwon and Shantikumar V. Nair. Their work appears in journals such as Nano Letters, Chemical Communications, Advanced Healthcare Materials, Macromolecular Research and Journal of Nanoscience and Nanotechnology.

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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