Deepa Suhag

683 citations
55 papers · 533 · h-index 13

Impact in

Papers in

    • 3D Printing in Biomedical Research 9
    • Bone Tissue Engineering Materials 7
    • Graphene and Nanomaterials Applications 7
    • Nanoparticle-Based Drug Delivery 9
    • Electrospun Nanofibers in Biomedical Applications 8

Deepa Suhag

43 papers receiving 487 citations

Peers

Deepa Suhag
Comparison fields: 5 of 88
  • Molecular Medicine 43
  • Biomaterials 106
  • Biomedical Engineering 226
  • Materials Chemistry 239
  • Pharmaceutical Science 31
Replace Adeeba Shakeel with:
Adeeba Shakeel India
Amirmasoud Samadi Iran
Mehraneh Kermanian Iran
Seyed Masoud Hashemi Iran
Maria C. Gomes Portugal
Suman Bhandary India
Soroush Mirkiani Iran
Congling Yang China
Farid Hajareh Haghighi Italy
Deepa Suhag relative to Adeeba Shakeel India Adeeba Shakeel's profile →
Citations per field
00.5×4.3×
Adeeba Shakeel · 1×
Citations per year

Countries citing papers authored by Deepa Suhag

Since Specialization
Citations

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

Fields of papers citing papers by Deepa Suhag

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018137
2 201561
3 202141
4 201730
5 202329
6 201522
7 201718
8 201617
9 201717
10 202316
11 201716
12 201515
13 202312
14 202310
15 20248
16 20248
17 20208
18 20208
19 20237
20 20246

About Deepa Suhag

Deepa Suhag is a scholar working on Biomedical Engineering, Biomaterials, Materials Chemistry, Molecular Biology and Automotive Engineering, having authored 55 papers that have together received 533 indexed citations. Recurring topics across this work include Nanoparticle-Based Drug Delivery (9 papers), 3D Printing in Biomedical Research (9 papers), Electrospun Nanofibers in Biomedical Applications (8 papers), Bone Tissue Engineering Materials (7 papers), Graphene and Nanomaterials Applications (7 papers), Hydrogels: synthesis, properties, applications (5 papers), Additive Manufacturing and 3D Printing Technologies (5 papers) and Nanoparticles: synthesis and applications (4 papers). The work is most often cited by research in Molecular Medicine (43 citations), Biomaterials (106 citations), Biomedical Engineering (226 citations), Materials Chemistry (239 citations) and Pharmaceutical Science (31 citations). Deepa Suhag has collaborated with scholars based in India, United Arab Emirates and China. Frequent co-authors include Monalisa Mukherjee, Sandip Chakrabarti, Adeeba Shakeel, Preeti Thakur, Atul Thakur, Arun Kumar Sharma, Satyendra Kumar Rajput, Swati Kaushik, S. Chattopadhyay and Anirudha Singh. Their work appears in journals such as RSC Advances, ACS Sustainable Chemistry & Engineering, Journal of Polymer Research, ACS Applied Materials & Interfaces and Current Topics in Medicinal Chemistry.

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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