Fei‐Chien Chang
Impact in
- Biomaterials top 5%
- Electrospun Nanofibers in Biomedical Applications
- Nanoparticle-Based Drug Delivery
- Silk-based biomaterials and applications
- Rehabilitation top 10%
- Wound Healing and Treatments
Papers in
-
- 3D Printing in Biomedical Research 4
- Graphene and Nanomaterials Applications 3
- Nanoplatforms for cancer theranostics 2
-
- Pluripotent Stem Cells Research 4
- Co-authors
- Miqin Zhang (11 shared papers)Ariane E. Erickson (3 shared papers)Sheeny K. Lan Levengood (2 shared papers)Hui Wang (3 shared papers)Qingxin Mu (3 shared papers)Richard A. Revia (2 shared papers)Mike Jeon (2 shared papers)John S. Yu (2 shared papers)
- Journals
- Advanced Healthcare Materials (2 papers)Matter (1 paper)Journal of Materials Chemistry B (1 paper)Advanced Biology (1 paper)Advanced Therapeutics (1 paper)
- Partner nations
- United StatesJapanAustralia
In The Last Decade
Fei‐Chien Chang
10 papers receiving 401 citations
Peers
Comparison fields: 5 of 63
- Biomaterials 204
- Rehabilitation 63
- Molecular Medicine 34
- Biomedical Engineering 232
- Pharmaceutical Science 13
Countries citing papers authored by Fei‐Chien Chang
This map shows the geographic impact of Fei‐Chien Chang'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 Fei‐Chien Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fei‐Chien Chang more than expected).
Fields of papers citing papers by Fei‐Chien Chang
This network shows the impact of papers produced by Fei‐Chien Chang. 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 Fei‐Chien Chang. The network helps show where Fei‐Chien Chang may publish in the future.
Co-authors
The 19 scholars most cited alongside Fei‐Chien Chang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 100 | |
| 2 | 2018 | 70 | |
| 3 | 2021 | 58 | |
| 4 | 2019 | 50 | |
| 5 | 2016 | 46 | |
| 6 | 2019 | 27 | |
| 7 | 2018 | 27 | |
| 8 | 2023 | 14 | |
| 9 | 2022 | 10 | |
| 10 | 2023 | 7 | |
| 11 | 2024 | 0 |
About Fei‐Chien Chang
Fei‐Chien Chang is a scholar working on Biomedical Engineering, Molecular Biology, Surgery, Biomaterials and Cell Biology, having authored 11 papers that have together received 409 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (4 papers), 3D Printing in Biomedical Research (4 papers), Graphene and Nanomaterials Applications (3 papers), Tissue Engineering and Regenerative Medicine (3 papers), Cellular Mechanics and Interactions (2 papers), Nanoplatforms for cancer theranostics (2 papers), Carbon and Quantum Dots Applications (2 papers) and Silk-based biomaterials and applications (2 papers). The work is most often cited by research in Biomaterials (204 citations), Rehabilitation (63 citations), Molecular Medicine (34 citations), Biomedical Engineering (232 citations) and Pharmaceutical Science (13 citations). Fei‐Chien Chang has collaborated with scholars based in United States, Japan and Australia. Frequent co-authors include Miqin Zhang, Ariane E. Erickson, Sheeny K. Lan Levengood, Hui Wang, Qingxin Mu, Richard A. Revia, Mike Jeon, John S. Yu, Guanyou Lin and Ching Ting Tsao. Their work appears in journals such as Advanced Healthcare Materials, Matter, Journal of Materials Chemistry B, Advanced Biology and Advanced Therapeutics.
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.