Pei‐Shan Chung

413 citations
16 papers · 342 · h-index 8

Impact in

    • Neuroscience and Neural Engineering
    • Photoreceptor and optogenetics research
    • Microfluidic and Bio-sensing Technologies
    • Advanced Sensor and Energy Harvesting Materials
    • 3D Printing in Biomedical Research
    • Microfluidic and Capillary Electrophoresis Applications

Papers in

Pei‐Shan Chung

12 papers receiving 339 citations

Peers

Pei‐Shan Chung
Comparison fields: 5 of 60
  • Cellular and Molecular Neuroscience 116
  • Biomedical Engineering 233
  • Bioengineering 19
  • Polymers and Plastics 47
  • Cognitive Neuroscience 36
Replace Yu Ting Chow with:
Yu Ting Chow Hong Kong
Yang Xie China
Siheng Sean You United States
Shinya Kusama Japan
Paul Feyen Italy
Satinderpall S. Pannu United States
Tianxing Man United States
Marc‐Joseph Antonini United States
Seongyeon Kim South Korea
Pei‐Shan Chung relative to Yu Ting Chow Hong Kong Yu Ting Chow's profile →
Citations per field
00.5×1.5×
Yu Ting Chow · 1×
Citations per year

Countries citing papers authored by Pei‐Shan Chung

Since Specialization
Citations

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

Fields of papers citing papers by Pei‐Shan Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pei‐Shan Chung. 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 Pei‐Shan Chung. The network helps show where Pei‐Shan Chung may publish in the future.

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2019136
2 201940
3 202237
4 201829
5 201926
6 201825
7 202020
8 202318
9 20095
10 20214
11 20181
12 20151
13 20240
14 20250
15 20200
16 20030

About Pei‐Shan Chung

Pei‐Shan Chung is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering, Molecular Biology, Atomic and Molecular Physics, and Optics and Cellular and Molecular Neuroscience, having authored 16 papers that have together received 342 indexed citations. Recurring topics across this work include Microfluidic and Bio-sensing Technologies (8 papers), 3D Printing in Biomedical Research (4 papers), Microfluidic and Capillary Electrophoresis Applications (4 papers), Electrowetting and Microfluidic Technologies (3 papers), Neuroscience and Neural Engineering (2 papers), Force Microscopy Techniques and Applications (2 papers), Biosensors and Analytical Detection (2 papers) and Cellular Mechanics and Interactions (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (116 citations), Biomedical Engineering (233 citations), Bioengineering (19 citations), Polymers and Plastics (47 citations) and Cognitive Neuroscience (36 citations). Pei‐Shan Chung has collaborated with scholars based in United States, Taiwan and Hong Kong. Frequent co-authors include Pei‐Yu Chiou, Tingyi Liu, Ximiao Wen, Yu Ting Chow, Shan Huang, Nigel T. Maidment, Bo Wang, Tianxing Man, Harold G. Monbouquette and Iwen Huang. Their work appears in journals such as Lab on a Chip, Biosensors and Bioelectronics, Advanced Science, iScience 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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