Pratikkumar Shah

551 citations
16 papers · 460 · h-index 10

Impact in

Papers in

Pratikkumar Shah

16 papers receiving 452 citations

Peers

Pratikkumar Shah
Comparison fields: 5 of 82
  • Biomedical Engineering 287
  • Electrochemistry 36
  • Molecular Biology 188
  • Materials Chemistry 125
  • Cellular and Molecular Neuroscience 45
Replace Shradha Prabhulkar with:
Shradha Prabhulkar United States
Youngwon Ju South Korea
Phitsini Suvarnaphaet Thailand
Mu-Yi Hua Taiwan
Cheol‐Heon Yea South Korea
Hien T. Ngoc Le South Korea
Ziheng Hu China
Yuxuan Li China
Audrey F. Meyer United States
Seongjae Jo South Korea
Pratikkumar Shah relative to Shradha Prabhulkar United States Shradha Prabhulkar's profile →
Citations per field
00.5×1.6×
Shradha Prabhulkar · 1×
Citations per year

Countries citing papers authored by Pratikkumar Shah

Since Specialization
Citations

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

Fields of papers citing papers by Pratikkumar Shah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2015106
2 201468
3 201260
4 201645
5 201442
6 201639
7 201623
8 201623
9 201323
10 202410
11 20156
12 20165
13
Breaking the fluoride diffusion barrier with combined dielectrophoresis and AC electroosmosis.
20134
14 20132
15 20232
16
United States Patent, Patent No: US9897572
20182

About Pratikkumar Shah

Pratikkumar Shah is a scholar working on Biomedical Engineering, Cellular and Molecular Neuroscience, Molecular Biology, Materials Chemistry and Virology, having authored 16 papers that have together received 460 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (6 papers), Biosensors and Analytical Detection (4 papers), Nanoparticles: synthesis and applications (3 papers), 3D Printing in Biomedical Research (3 papers), Neuroscience and Neural Engineering (2 papers), Microfluidic and Bio-sensing Technologies (1 paper), Nanotechnology research and applications (1 paper) and Mass Spectrometry Techniques and Applications (1 paper). The work is most often cited by research in Biomedical Engineering (287 citations), Electrochemistry (36 citations), Molecular Biology (188 citations), Materials Chemistry (125 citations) and Cellular and Molecular Neuroscience (45 citations). Pratikkumar Shah has collaborated with scholars based in United States, China and India. Frequent co-authors include Xuena Zhu, Chen-Zhong Li, Chenzhong Li, Narayanan Tharangattu Narayanan, Subbiah Alwarappan, Ajeet Kumar Kaushik, Hongyun Liu, Arti Vashist, Rahul Dev Jayant and Phani Kiran Vabbina. Their work appears in journals such as The Analyst, Nanotechnology, Biomedical Microdevices, Science China Chemistry and Scientific Reports.

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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