Emmie Yao
Impact in
- Automotive Engineering top 10%
- Additive Manufacturing and 3D Printing Technologies
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- 3D Printing in Biomedical Research
- Innovative Microfluidic and Catalytic Techniques Innovation
Papers in
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- 3D Printing in Biomedical Research 6
- Microfluidic and Bio-sensing Technologies 1
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- Corneal Surgery and Treatments 3
- Corneal surgery and disorders 2
- Co-authors
- Zheng Zhong (5 shared papers)Yi Xiang (7 shared papers)Min Tang (5 shared papers)Wisarut Kiratitanaporn (4 shared papers)Yazhi Sun (4 shared papers)Shangting You (3 shared papers)Shaochen Chen (5 shared papers)Henry H. Hwang (3 shared papers)
- Journals
- Biomaterials (3 papers)Bioprinting (1 paper)Materials Today Bio (1 paper)Biofabrication (1 paper)Cell Discovery (1 paper)
- Partner nations
- United StatesHungaryChina
In The Last Decade
Emmie Yao
9 papers receiving 308 citations
Emmie Yao's Hit Papers
Peers
Comparison fields: 5 of 52
- Automotive Engineering 111
- Biomedical Engineering 236
- Radiology, Nuclear Medicine and Imaging 48
- Biophysics 13
- Biomaterials 27
Countries citing papers authored by Emmie Yao
This map shows the geographic impact of Emmie Yao'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 Emmie Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emmie Yao more than expected).
Fields of papers citing papers by Emmie Yao
This network shows the impact of papers produced by Emmie Yao. 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 Emmie Yao. The network helps show where Emmie Yao may publish in the future.
Co-authors
The 25 scholars most cited alongside Emmie Yao, 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 | High cell density and high-resolution 3D bioprinting for fabricating vascularized tissues Hit paper breakdown → | 2023 | 166 |
| 2 | 2020 | 40 | |
| 3 | 2021 | 29 | |
| 4 | 2022 | 28 | |
| 5 | 2024 | 23 | |
| 6 | 2024 | 11 | |
| 7 | 2023 | 7 | |
| 8 | 2024 | 4 | |
| 9 | 2025 | 2 |
About Emmie Yao
Emmie Yao is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Genetics and Public Health, Environmental and Occupational Health, having authored 9 papers that have together received 310 indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (6 papers), Corneal Surgery and Treatments (3 papers), Ocular Surface and Contact Lens (2 papers), Corneal surgery and disorders (2 papers), Virus-based gene therapy research (2 papers), Cell Image Analysis Techniques (1 paper), Microfluidic and Bio-sensing Technologies (1 paper) and Single-cell and spatial transcriptomics (1 paper). The work is most often cited by research in Automotive Engineering (111 citations), Biomedical Engineering (236 citations), Radiology, Nuclear Medicine and Imaging (48 citations), Biophysics (13 citations) and Biomaterials (27 citations). Emmie Yao has collaborated with scholars based in United States, Hungary and China. Frequent co-authors include Zheng Zhong, Yi Xiang, Min Tang, Wisarut Kiratitanaporn, Yazhi Sun, Shangting You, Shaochen Chen, Henry H. Hwang, Jiaao Guan and David B. Berry. Their work appears in journals such as Biomaterials, Bioprinting, Materials Today Bio, Biofabrication and Cell Discovery.
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.