Suruchi Poddar

675 citations
27 papers · 484 · h-index 13

Impact in

    • Electrospun Nanofibers in Biomedical Applications
    • Silk-based biomaterials and applications
    • Nanoparticle-Based Drug Delivery
    • Hydrogels: synthesis, properties, applications

Papers in

    • 3D Printing in Biomedical Research 6
    • Bone Tissue Engineering Materials 3
    • Nanoplatforms for cancer theranostics 2
    • Electrospun Nanofibers in Biomedical Applications 9
    • Silk-based biomaterials and applications 4

Suruchi Poddar

26 papers receiving 474 citations

Peers

Suruchi Poddar
Comparison fields: 5 of 81
  • Biomaterials 220
  • Molecular Medicine 38
  • Rehabilitation 49
  • Pharmaceutical Science 40
  • Biomedical Engineering 210
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Citations per field
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Citations per year

Countries citing papers authored by Suruchi Poddar

Since Specialization
Citations

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

Fields of papers citing papers by Suruchi Poddar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202064
2 202257
3 202045
4 202034
5 202133
6 201730
7 201929
8 201928
9 202026
10 202123
11 201915
12 202015
13 202012
14 202012
15 202110
16 20218
17 20208
18 20247
19 20197
20 20216

About Suruchi Poddar

Suruchi Poddar is a scholar working on Biomedical Engineering, Biomaterials, Cellular and Molecular Neuroscience, Molecular Biology and Polymers and Plastics, having authored 27 papers that have together received 484 indexed citations. Recurring topics across this work include Electrospun Nanofibers in Biomedical Applications (9 papers), Neuroscience and Neural Engineering (7 papers), 3D Printing in Biomedical Research (6 papers), Silk-based biomaterials and applications (4 papers), Bone Tissue Engineering Materials (3 papers), Advanced biosensing and bioanalysis techniques (2 papers), Nanoplatforms for cancer theranostics (2 papers) and Conducting polymers and applications (2 papers). The work is most often cited by research in Biomaterials (220 citations), Molecular Medicine (38 citations), Rehabilitation (49 citations), Pharmaceutical Science (40 citations) and Biomedical Engineering (210 citations). Suruchi Poddar has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Sanjeev Kumar Mahto, Ajay Kumar Sahi, Neelima Varshney, Kiran Yellappa Vajanthri, Matte Kasi Viswanadh, Madaswamy S. Muthu, Abhishek Jha, Abhishesh Kumar Mehata, Niraj Kumar Vishwakarma and Chandan Kumar. Their work appears in journals such as International Journal of Biological Macromolecules, IEEE Sensors Journal, IEEE Transactions on NanoBioscience, Journal of Applied Polymer Science and Biomedical 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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