Chia‐Chen Hsu
- Infectious Diseases top 5%
- Molecular Medicine top 10%
- Hydrogels: synthesis, properties, applications 3
- Biomaterials top 10%
- Biomedical Engineering top 5%
- Biosensors and Analytical Detection 3
- 3D Printing in Biomedical Research 3
- Biophysics top 5%
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- Nerve injury and regeneration 4
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- Pluripotent Stem Cells Research 3
- Advanced biosensing and bioanalysis techniques 3
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- Tissue Engineering and Regenerative Medicine 3
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- Neurogenesis and neuroplasticity mechanisms 3
- Co-authors
- Zhanfeng CuiHua YeChen‐Wen WhangWei E. HuangNguyen Thuy Ba LinhHuidong JiaYejiong YuYun Wang
- Journals
- ACS Applied Materials & Interfaces (2 papers)Journal of Materials Chemistry A (1 paper)Materials Science and Engineering C (1 paper)
- Partner nations
- United KingdomTaiwanChina
In The Last Decade
Chia‐Chen Hsu
18 papers receiving 965 citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Infectious Diseases 308
- Molecular Medicine 71
- Biomaterials 154
- Biomedical Engineering 514
- Biophysics 64
Countries citing papers authored by Chia‐Chen Hsu
This map shows the geographic impact of Chia‐Chen Hsu'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 Chia‐Chen Hsu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chia‐Chen Hsu more than expected).
Fields of papers citing papers by Chia‐Chen Hsu
This network shows the impact of papers produced by Chia‐Chen Hsu. 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 Chia‐Chen Hsu. The network helps show where Chia‐Chen Hsu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chia‐Chen Hsu, 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 | 2024 | 0 | |
| 2 | 2022 | 17 | |
| 3 | 2022 | 13 | |
| 4 | 2022 | 37 | |
| 5 | 2021 | 35 | |
| 6 | 2021 | 16 | |
| 7 | RT‐LAMP for rapid diagnosis of coronavirus SARS‐CoV‐2breakdown → | 2020 | 366 |
| 8 | 2020 | 18 | |
| 9 | 2020 | 28 | |
| 10 | 2020 | 82 | |
| 11 | 2019 | 29 | |
| 12 | 2019 | 117 | |
| 13 | 2019 | 19 | |
| 14 | 2018 | 54 | |
| 15 | 2017 | 12 | |
| 16 | 2017 | 27 | |
| 17 | 2017 | 15 | |
| 18 | 2009 | 90 | |
| 19 | 2008 | 7 |
About Chia‐Chen Hsu
Chia‐Chen Hsu is a scholar working on Developmental Neuroscience, Structural Biology, Molecular Medicine, Cellular and Molecular Neuroscience and Analytical Chemistry, having authored 19 papers that have together received 982 indexed citations. Recurring topics across this work include Nerve injury and regeneration (4 papers), Pluripotent Stem Cells Research (3 papers), Tissue Engineering and Regenerative Medicine (3 papers), Advanced biosensing and bioanalysis techniques (3 papers), Hydrogels: synthesis, properties, applications (3 papers), Biosensors and Analytical Detection (3 papers), 3D Printing in Biomedical Research (3 papers) and Neurogenesis and neuroplasticity mechanisms (3 papers). The work is most often cited by research in Infectious Diseases (308 citations), Molecular Medicine (71 citations), Biomaterials (154 citations), Biomedical Engineering (514 citations) and Biophysics (64 citations). Chia‐Chen Hsu has collaborated with scholars based in United Kingdom, Taiwan and China. Frequent co-authors include Zhanfeng Cui, Hua Ye, Chen‐Wen Whang, Wei E. Huang, Nguyen Thuy Ba Linh, Huidong Jia, Yejiong Yu, Yun Wang, Mengmeng Ji and Hong Chang. Their work appears in journals such as ACS Applied Materials & Interfaces, Journal of Materials Chemistry A, Materials Science and Engineering C, Biomedical Materials and Microbial Biotechnology.
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.