Srabani Kar

1.1k citations
46 papers · 704 · h-index 17

Impact in

Papers in

    • 3D Printing in Biomedical Research 17
    • Microfluidic and Bio-sensing Technologies 17
    • Nanoplatforms for cancer theranostics 3
    • Nanowire Synthesis and Applications 3
    • Terahertz technology and applications 6
    • Electrohydrodynamics and Fluid Dynamics 4

Srabani Kar

40 papers receiving 697 citations

Peers

Srabani Kar
Comparison fields: 5 of 69
  • Biomedical Engineering 419
  • Cellular and Molecular Neuroscience 98
  • Biophysics 27
  • Materials Chemistry 193
  • Biotechnology 36
Replace Hirohisa Tamagawa with:
Hirohisa Tamagawa Japan
Artium Khatchatouriants Israel
Moria Kwiat Israel
Valeria Caprettini Italy
Ngoc‐Duy Dinh Singapore
Rudolf Robelek Germany
Natalya Tokranova United States
Ran Li China
Adriana Biasco Italy
Srabani Kar relative to Hirohisa Tamagawa Japan Hirohisa Tamagawa's profile →
Citations per field
00.5×5.9×
Hirohisa Tamagawa · 1×
Citations per year

Countries citing papers authored by Srabani Kar

Since Specialization
Citations

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

Fields of papers citing papers by Srabani Kar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201589
2 202165
3 201447
4 201843
5 202040
6 202137
7 202029
8 202328
9 202026
10 201826
11 202124
12 202220
13 201420
14 202019
15 202217
16 202117
17 202116
18 201815
19 202214
20 202213

About Srabani Kar

Srabani Kar is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering, Cellular and Molecular Neuroscience, Atomic and Molecular Physics, and Optics and Biotechnology, having authored 46 papers that have together received 704 indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (17 papers), Microfluidic and Bio-sensing Technologies (17 papers), Neuroscience and Neural Engineering (9 papers), Microbial Inactivation Methods (7 papers), Terahertz technology and applications (6 papers), Electrohydrodynamics and Fluid Dynamics (4 papers), Nanoplatforms for cancer theranostics (3 papers) and Nanowire Synthesis and Applications (3 papers). The work is most often cited by research in Biomedical Engineering (419 citations), Cellular and Molecular Neuroscience (98 citations), Biophysics (27 citations), Materials Chemistry (193 citations) and Biotechnology (36 citations). Srabani Kar has collaborated with scholars based in India, Japan and United Kingdom. Frequent co-authors include Tuhin Subhra Santra, Moeto Nagai, Fan‐Gang Tseng, A. K. Sood, Kavitha Illath, A. K. Sood, Yang Su, L. Mohan, Pallavi Gupta and Rahul R. Nair. Their work appears in journals such as Lab on a Chip, Nanoscale, RSC Advances, The Analyst and ACS Nano.

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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