Samudra Sengupta

2.3k citations
16 papers · 1.9k · h-index 14

Impact in

Papers in

Samudra Sengupta

16 papers receiving 1.9k citations

Peers

Samudra Sengupta
Comparison fields: 5 of 97
  • Condensed Matter Physics 1.3k
  • Biomedical Engineering 1.2k
  • Aging 22
  • Statistical and Nonlinear Physics 154
  • Cellular and Molecular Neuroscience 192
Replace Nikta Fakhri with:
Nikta Fakhri United States
Krishna Kanti Dey India
Jaideep Katuri Spain
Anne Bernheim‐Groswasser Israel
Michael E. Ibele United States
Suzanne Ahmed United States
Jaime Agudo‐Canalejo Germany
Igor M. Kulić France
Jordi Ignés‐Mullol Spain
Tieyan Si China
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Citations per field
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Nikta Fakhri · 1×
Citations per year

Countries citing papers authored by Samudra Sengupta

Since Specialization
Citations

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

Fields of papers citing papers by Samudra Sengupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2012313
2 2012279
3 2013253
4 2014215
5 2011180
6 2010177
7 201497
8 201494
9 201086
10 201368
11 201144
12 201243
13 201233
14 201225
15
A Graphic Diagram Editor for Pen Computers.
199411
16 20119

About Samudra Sengupta

Samudra Sengupta is a scholar working on Condensed Matter Physics, Biomedical Engineering, Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology, having authored 16 papers that have together received 1.9k indexed citations. Recurring topics across this work include Micro and Nano Robotics (10 papers), Molecular Communication and Nanonetworks (6 papers), Microfluidic and Bio-sensing Technologies (3 papers), Microfluidic and Capillary Electrophoresis Applications (3 papers), Microtubule and mitosis dynamics (2 papers), Lipid Membrane Structure and Behavior (2 papers), Photoreceptor and optogenetics research (2 papers) and Modular Robots and Swarm Intelligence (2 papers). The work is most often cited by research in Condensed Matter Physics (1.3k citations), Biomedical Engineering (1.2k citations), Aging (22 citations), Statistical and Nonlinear Physics (154 citations) and Cellular and Molecular Neuroscience (192 citations). Samudra Sengupta has collaborated with scholars based in United States, India and Puerto Rico. Frequent co-authors include Ayusman Sen, Michael E. Ibele, Hua Zhang, Debabrata Patra, Ryan A. Pavlick, Krishna Kanti Dey, Peter J. Butler, Hari S. Muddana, Wentao Duan and Thomas E. Mallouk. Their work appears in journals such as ACS Nano, Angewandte Chemie International Edition, Journal of the American Chemical Society, Tropical Medicine & International Health and Nature 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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