Ya-Hui Chan

614 citations
13 papers · 426 indexed · h-index 10

Impact in

  • Genetics top 10%
    • Mesenchymal stem cell research
  • Urology top 5%
    • Periodontal Regeneration and Treatments

Papers in

    • Bone Tissue Engineering Materials 5
    • 3D Printing in Biomedical Research 2
    • Orthopaedic implants and arthroplasty 4

Ya-Hui Chan

13 papers receiving 423 citations

Peers

Ya-Hui Chan
Comparison fields: 5 of 76
  • Genetics 147
  • Urology 84
  • Oral Surgery 66
  • Biomaterials 80
  • Orthodontics 20
Replace Bingjiao Zhao with:
Bingjiao Zhao China
Darryl A. Auston United States
Rick Visser Spain
Bülend İnanç Türkiye
Lisheng Zhao China
Seong-Ho Jin South Korea
Giorgia Cerqueni Italy
Lvhua Guo China
Helena Bacha Lopes Brazil
Jiwon Lim South Korea
Ya-Hui Chan relative to Bingjiao Zhao China Bingjiao Zhao's profile →
Citations per field
00.5×
Bingjiao Zhao · 1×
Citations per year

Countries citing papers authored by Ya-Hui Chan

Since Specialization
Citations

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

Fields of papers citing papers by Ya-Hui Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Ya-Hui Chan, 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 Ya-Hui Chan Line = papers co-authored together Ya-Hui Chan links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2019161
2 202260
3 202143
4 201730
5 201829
6 202327
7 201920
8 201616
9 201312
10 201710
11 20158
12 20248
13 19852

About Ya-Hui Chan

Ya-Hui Chan is a scholar working on Biomedical Engineering, Surgery, Genetics, Biomaterials and Oral Surgery, having authored 13 papers that have together received 426 indexed citations. Recurring topics across this work include Bone Tissue Engineering Materials (5 papers), Orthopaedic implants and arthroplasty (4 papers), Mesenchymal stem cell research (3 papers), Dental Implant Techniques and Outcomes (3 papers), Bone health and osteoporosis research (2 papers), Spaceflight effects on biology (2 papers), Electrospun Nanofibers in Biomedical Applications (2 papers) and 3D Printing in Biomedical Research (2 papers). The work is most often cited by research in Genetics (147 citations), Urology (84 citations), Oral Surgery (66 citations), Biomaterials (80 citations) and Orthodontics (20 citations). Ya-Hui Chan has collaborated with scholars based in Taiwan, United States and Australia. Frequent co-authors include Sheng‐Wei Feng, Yu‐Chieh Lee, Sung‐Chih Hsieh, Haw‐Ming Huang, Pin‐Chuang Lai, Yu-Chieh Lee, Hsin‐Ta Wang, Weiyi Lai, Che-Tong Lin and Wei‐Jen Chang. Their work appears in journals such as Polymers, International Journal of Molecular Sciences, Annals of Biomedical Engineering, BioMed Research International and Journal of Polymer Engineering.

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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