Sumit Kalsi

446 citations
12 papers · 348 · h-index 8

Impact in

    • Analytical Chemistry and Sensors
    • Biosensors and Analytical Detection
    • Microfluidic and Capillary Electrophoresis Applications
    • Innovative Microfluidic and Catalytic Techniques Innovation
    • Microfluidic and Bio-sensing Technologies

Papers in

Sumit Kalsi

12 papers receiving 345 citations

Peers

Sumit Kalsi
Comparison fields: 5 of 58
  • Bioengineering 36
  • Biomedical Engineering 270
  • Clinical Biochemistry 38
  • Molecular Medicine 24
  • Electrochemistry 16
Replace Wen-Hsin Chang with:
Wen-Hsin Chang Taiwan
Barry Glynn Ireland
Thaddaeus A. Webster United States
Jaephil Do United States
David A. Selck United States
Anupriya Singh India
Huisung Kim United States
Yan Deng China
David J. You United States
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Citations per field
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Wen-Hsin Chang · 1×
Citations per year

Countries citing papers authored by Sumit Kalsi

Since Specialization
Citations

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

Fields of papers citing papers by Sumit Kalsi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Sumit Kalsi, 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 Sumit Kalsi Line = papers co-authored together Sumit Kalsi links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2015126
2 201747
3 201735
4 201432
5 201931
6 201626
7 201826
8 201817
9 20193
10
From smartphones to diagnostics: Low cost electronics for programmable digital microfluidics and sensing
20152
11 20142
12
Metal oxide sensors for long term pH monitoring
20181

About Sumit Kalsi

Sumit Kalsi is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering, Molecular Biology, Bioengineering and Clinical Biochemistry, having authored 12 papers that have together received 348 indexed citations. Recurring topics across this work include Biosensors and Analytical Detection (6 papers), Advanced biosensing and bioanalysis techniques (3 papers), Electrowetting and Microfluidic Technologies (3 papers), Analytical Chemistry and Sensors (3 papers), Microfluidic and Capillary Electrophoresis Applications (3 papers), Electrochemical Analysis and Applications (2 papers), Bacterial Identification and Susceptibility Testing (2 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (2 papers). The work is most often cited by research in Bioengineering (36 citations), Biomedical Engineering (270 citations), Clinical Biochemistry (38 citations), Molecular Medicine (24 citations) and Electrochemistry (16 citations). Sumit Kalsi has collaborated with scholars based in United Kingdom, United States and Japan. Frequent co-authors include Hywel Morgan, Carrie Turner, Martha Valiadi, J. Mark Sutton, Robert J. Watson, Chris Brown, Maria‐Nefeli Tsaloglou, Adrian Jacobs, L. A. Parry‐Jones and Ying Cheong. Their work appears in journals such as Biosensors and Bioelectronics, Lab on a Chip, Diagnostic Microbiology and Infectious Disease, Sensors and Actuators B Chemical and Journal of Nanophotonics.

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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