Ya-Hui Chan

614 total citations
13 papers, 426 citations indexed

About

Ya-Hui Chan is a scholar working on Biomedical Engineering, Surgery and Genetics. According to data from OpenAlex, Ya-Hui Chan has authored 13 papers receiving a total of 426 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Biomedical Engineering, 5 papers in Surgery and 3 papers in Genetics. Recurrent topics in Ya-Hui Chan's work include Bone Tissue Engineering Materials (5 papers), Orthopaedic implants and arthroplasty (4 papers) and Mesenchymal stem cell research (3 papers). Ya-Hui Chan is often cited by papers focused on Bone Tissue Engineering Materials (5 papers), Orthopaedic implants and arthroplasty (4 papers) and Mesenchymal stem cell research (3 papers). Ya-Hui Chan collaborates with scholars based in Taiwan, United States and Australia. Ya-Hui Chan's co-authors include Sheng‐Wei Feng, Yu‐Chieh Lee, Sung‐Chih Hsieh, Haw‐Ming Huang, Pin‐Chuang Lai, Yu-Chieh Lee, Hsin‐Ta Wang, Wei‐Jen Chang, Che-Tong Lin and Weiyi Lai and has published in prestigious journals such as International Journal of Molecular Sciences, Journal of Endodontics and Dental Materials.

In The Last Decade

Ya-Hui Chan

13 papers receiving 423 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ya-Hui Chan Taiwan 10 185 147 102 84 80 13 426
Sara El Moshy Egypt 8 100 0.5× 122 0.8× 61 0.6× 76 0.9× 66 0.8× 22 362
Israa Ahmed Radwan Egypt 8 94 0.5× 122 0.8× 59 0.6× 75 0.9× 61 0.8× 20 351
Renata Vecchiatini Italy 12 90 0.5× 74 0.5× 95 0.9× 79 0.9× 57 0.7× 19 346
Barbe Rentsch Germany 11 213 1.2× 68 0.5× 147 1.4× 57 0.7× 128 1.6× 16 387
Bülend İnanç Türkiye 10 168 0.9× 87 0.6× 99 1.0× 111 1.3× 110 1.4× 11 357
Alexander Hofmann Germany 7 177 1.0× 57 0.4× 82 0.8× 56 0.7× 92 1.1× 11 382
Giorgia Cerqueni Italy 13 286 1.5× 72 0.5× 79 0.8× 43 0.5× 103 1.3× 29 579
Jiwon Lim South Korea 12 297 1.6× 75 0.5× 116 1.1× 42 0.5× 104 1.3× 23 570
Seong-Ho Jin South Korea 10 156 0.8× 111 0.8× 83 0.8× 90 1.1× 42 0.5× 17 393
Helena Bacha Lopes Brazil 15 322 1.7× 127 0.9× 115 1.1× 40 0.5× 67 0.8× 40 573

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-authorship network of co-authors of Ya-Hui Chan

This figure shows the co-authorship network connecting the top 25 collaborators of Ya-Hui Chan. A scholar is included among the top collaborators of Ya-Hui Chan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ya-Hui Chan. Ya-Hui Chan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Chan, Ya-Hui, et al.. (2024). Osseointegration Potential Assessment of Bone Graft Materials Loaded with Mesenchymal Stem Cells in Peri-Implant Bone Defects. International Journal of Molecular Sciences. 25(2). 862–862. 8 indexed citations
5.
Chin, Yu‐Tang, et al.. (2019). Dental Pulp Stem Cell Transplantation with 2,3,5,4′-Tetrahydroxystilbene-2-O-β-D-glucoside Accelerates Alveolar Bone Regeneration in Rats. Journal of Endodontics. 45(4). 435–441. 20 indexed citations
6.
Lee, Yu‐Chieh, et al.. (2019). Comparing the Osteogenic Potentials and Bone Regeneration Capacities of Bone Marrow and Dental Pulp Mesenchymal Stem Cells in a Rabbit Calvarial Bone Defect Model. International Journal of Molecular Sciences. 20(20). 5015–5015. 161 indexed citations
7.
Feng, Sheng‐Wei, et al.. (2018). In Vivo Investigation into Effectiveness of Fe3O4/PLLA Nanofibers for Bone Tissue Engineering Applications. Polymers. 10(7). 804–804. 29 indexed citations
9.
Lai, Weiyi, et al.. (2017). Monitoring the Changes of Material Properties at Bone-Implant Interface during the Healing Process In Vivo: A Viscoelastic Investigation. BioMed Research International. 2017. 1–10. 10 indexed citations
10.
Feng, Sheng‐Wei, et al.. (2016). Damping Factor as a Diagnostic Parameter for Assessment of Osseointegration during the Dental Implant Healing Process: An Experimental Study in Rabbits. Annals of Biomedical Engineering. 44(12). 3668–3678. 16 indexed citations
11.
Hsieh, Sung‐Chih, et al.. (2015). Static Magnetic Field Attenuates Lipopolysaccharide‐Induced Inflammation in Pulp Cells by Affecting Cell Membrane Stability. The Scientific World JOURNAL. 2015(1). 492683–492683. 8 indexed citations
12.
Wang, Hsin‐Ta, et al.. (2013). Development and biocompatibility tests of electrospun poly-l-lactide nanofibrous membranes incorporating oleic acid-coated Fe3O4. Journal of Polymer Engineering. 34(3). 241–245. 12 indexed citations
13.
Chan, Ya-Hui, et al.. (1985). Properties of Antisera to Glutamate Dehydrogenase from Nitrogen-fixing Lupin Nodules. Australian Journal of Biological Sciences. 38(1). 51–58. 2 indexed citations

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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