Deepa Ghosh

1.5k citations
44 papers · 1.1k · h-index 17

Impact in

Papers in

    • Graphene and Nanomaterials Applications 6
    • Bone Tissue Engineering Materials 4
    • Nanoplatforms for cancer theranostics 4
    • Electrospun Nanofibers in Biomedical Applications 8

Deepa Ghosh

43 papers receiving 1.1k citations

Peers

Deepa Ghosh
Comparison fields: 5 of 107
  • Biomaterials 317
  • Rehabilitation 138
  • Molecular Medicine 105
  • Biomedical Engineering 443
  • Infectious Diseases 169
Replace Leila Mohammadi Amirabad with:
Leila Mohammadi Amirabad Iran
Lu Han China
Yihao Liu China
Sina Sharifi United States
Jessica Amber Jennings United States
Yuhang Jiang China
Nowsheen Goonoo Mauritius
Heidrun Steinle Germany
Thibault Colombani United States
Deepa Ghosh relative to Leila Mohammadi Amirabad Iran Leila Mohammadi Amirabad's profile →
Citations per field
00.5×3.3×
Leila Mohammadi Amirabad · 1×
Citations per year

Countries citing papers authored by Deepa Ghosh

Since Specialization
Citations

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

Fields of papers citing papers by Deepa Ghosh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020272
2 202299
3 201576
4 201472
5 201941
6 202040
7 202038
8 202135
9 202134
10 202230
11 202127
12 202025
13 202324
14 201923
15 202422
16 201922
17 202122
18 202416
19 202016
20 202215

About Deepa Ghosh

Deepa Ghosh is a scholar working on Biomedical Engineering, Biomaterials, Materials Chemistry, Molecular Biology and Rehabilitation, having authored 44 papers that have together received 1.1k indexed citations. Recurring topics across this work include Electrospun Nanofibers in Biomedical Applications (8 papers), Wound Healing and Treatments (7 papers), Graphene and Nanomaterials Applications (6 papers), Osteoarthritis Treatment and Mechanisms (4 papers), Bone Tissue Engineering Materials (4 papers), Hydrogels: synthesis, properties, applications (4 papers), Nanoplatforms for cancer theranostics (4 papers) and Carbon and Quantum Dots Applications (3 papers). The work is most often cited by research in Biomaterials (317 citations), Rehabilitation (138 citations), Molecular Medicine (105 citations), Biomedical Engineering (443 citations) and Infectious Diseases (169 citations). Deepa Ghosh has collaborated with scholars based in India, United States and Mexico. Frequent co-authors include Vianni Chopra, Vineeta Panwar, Jijo Thomas, Anjana Sharma, Gaurav Chauhan, Sergio O. Martínez‐Chapa, Marc Madou, Sourav Kalra, Chandra Viswanathan and Swati Kaushik. Their work appears in journals such as Carbohydrate Polymers, International Journal of Biological Macromolecules, Journal of Materials Chemistry B, ACS Applied Bio Materials and Small.

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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