Chan Du

1.1k citations
20 papers · 987 · h-index 13

Impact in

    • Electrospun Nanofibers in Biomedical Applications
    • Silk-based biomaterials and applications
    • Hydrogels: synthesis, properties, applications

Papers in

    • Electrospun Nanofibers in Biomedical Applications 4
    • Silk-based biomaterials and applications 3
    • Cellular Mechanics and Interactions 2

Chan Du

20 papers receiving 971 citations

Peers

Chan Du
Comparison fields: 5 of 88
  • Biomaterials 351
  • Molecular Medicine 122
  • Urology 66
  • Biomedical Engineering 496
  • Hepatology 68
Replace A. M. Frias with:
A. M. Frias Portugal
Ting Ting Lau Singapore
Marko Mihajlovic Netherlands
Prabha D. Nair India
Mohammad Hossein Ghanian Iran
Kai Dai China
Sílvia Vieira Portugal
Jae Seo Lee South Korea
Yuanman Yu China
Daniel S. Alt United States
Chan Du relative to A. M. Frias Portugal A. M. Frias's profile →
Citations per field
00.5×1.5×2.1×
A. M. Frias · 1×
Citations per year

Countries citing papers authored by Chan Du

Since Specialization
Citations

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

Fields of papers citing papers by Chan Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2013170
2 2014128
3 2013127
4 2012103
5 201272
6 201656
7 201453
8 201346
9 201345
10 201744
11 200941
12 201626
13 201421
14 202113
15 202411
16 20238
17 20238
18
Magnetic stimulation of peripheral nerves. Comparison of magnetic stimulation with electrical stimulation.
19967
19 20175
20 20213

About Chan Du

Chan Du is a scholar working on Biomaterials, Cell Biology, Molecular Medicine, Biomedical Engineering and Urology, having authored 20 papers that have together received 987 indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (6 papers), Tissue Engineering and Regenerative Medicine (6 papers), Pluripotent Stem Cells Research (5 papers), Electrospun Nanofibers in Biomedical Applications (4 papers), Hydrogels: synthesis, properties, applications (3 papers), Silk-based biomaterials and applications (3 papers), Osteoarthritis Treatment and Mechanisms (2 papers) and Cellular Mechanics and Interactions (2 papers). The work is most often cited by research in Biomaterials (351 citations), Molecular Medicine (122 citations), Urology (66 citations), Biomedical Engineering (496 citations) and Hepatology (68 citations). Chan Du has collaborated with scholars based in Singapore, Australia and China. Frequent co-authors include Andrew C.A. Wan, Meng Fatt Leong, Karthikeyan Narayanan, Motoichi Kurisawa, Hongfang Lu, Lishan Wang, Tze Chiun Lim, Jackie Y. Y. Ying, Wei Seong Toh and Shu Jun Gao. Their work appears in journals such as Biomaterials, Acta Biomaterialia, Advanced Healthcare Materials, Journal of Food Engineering and Journal of Hospitality and Tourism Management.

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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