Chi‐Yun Wang
Impact in
- Immunology top 10%
- Biomaterials top 5%
- Electrospun Nanofibers in Biomedical Applications
Papers in
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- Bone Tissue Engineering Materials 14
- Graphene and Nanomaterials Applications 7
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- Ubiquitin and proteasome pathways 4
- Co-authors
- Chiou‐Feng Lin (23 shared papers)Chia‐Ling Chen (15 shared papers)Wei‐Ching Huang (15 shared papers)Cheng‐Chieh Tsai (13 shared papers)Chia-Yuan Hsieh (7 shared papers)Yee-Shin Lin (7 shared papers)Chen‐Yaw Chiu (14 shared papers)Yu-Kaung Chang (15 shared papers)
- Journals
- Biochemical Engineering Journal (6 papers)International Journal of Biological Macromolecules (5 papers)Ceramics International (3 papers)Biomedical Materials (2 papers)Biochemical Pharmacology (2 papers)
- Partner nations
- TaiwanThailandUnited States
In The Last Decade
Chi‐Yun Wang
64 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 125
- Immunology 332
- Biomaterials 188
- Molecular Biology 905
- Virology 57
- Cancer Research 156
Countries citing papers authored by Chi‐Yun Wang
This map shows the geographic impact of Chi‐Yun Wang'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 Chi‐Yun Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chi‐Yun Wang more than expected).
Fields of papers citing papers by Chi‐Yun Wang
This network shows the impact of papers produced by Chi‐Yun Wang. 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 Chi‐Yun Wang. The network helps show where Chi‐Yun Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Chi‐Yun Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 142 | |
| 2 | 2014 | 122 | |
| 3 | 2009 | 112 | |
| 4 | 1991 | 96 | |
| 5 | 2012 | 90 | |
| 6 | 2011 | 84 | |
| 7 | 2021 | 84 | |
| 8 | 2010 | 81 | |
| 9 | 2015 | 71 | |
| 10 | 2009 | 70 | |
| 11 | 2012 | 67 | |
| 12 | 2009 | 66 | |
| 13 | 2009 | 47 | |
| 14 | 2008 | 44 | |
| 15 | 2009 | 43 | |
| 16 | 2011 | 40 | |
| 17 | 2012 | 38 | |
| 18 | 2022 | 36 | |
| 19 | 2017 | 36 | |
| 20 | 2010 | 35 |
About Chi‐Yun Wang
Chi‐Yun Wang is a scholar working on Biomedical Engineering, Molecular Biology, Biomaterials, Immunology and Surgery, having authored 70 papers that have together received 2.0k indexed citations. Recurring topics across this work include Electrospun Nanofibers in Biomedical Applications (14 papers), Bone Tissue Engineering Materials (14 papers), Orthopaedic implants and arthroplasty (7 papers), Graphene and Nanomaterials Applications (7 papers), Microplastics and Plastic Pollution (5 papers), Ubiquitin and proteasome pathways (4 papers), Galectins and Cancer Biology (4 papers) and Radio Frequency Integrated Circuit Design (4 papers). The work is most often cited by research in Immunology (332 citations), Biomaterials (188 citations), Molecular Biology (905 citations), Virology (57 citations) and Cancer Research (156 citations). Chi‐Yun Wang has collaborated with scholars based in Taiwan, Thailand and United States. Frequent co-authors include Chiou‐Feng Lin, Chia‐Ling Chen, Wei‐Ching Huang, Cheng‐Chieh Tsai, Chia-Yuan Hsieh, Yee-Shin Lin, Chen‐Yaw Chiu, Yu-Kaung Chang, Wu‐Chou Su and W.C. Chiu. Their work appears in journals such as Biochemical Engineering Journal, International Journal of Biological Macromolecules, Ceramics International, Biomedical Materials and Biochemical Pharmacology.
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.