Wonil Han
Impact in
- Automotive Engineering top 2%
- Additive Manufacturing and 3D Printing Technologies
- Biomaterials top 5%
- Electrospun Nanofibers in Biomedical Applications
Papers in
-
- 3D Printing in Biomedical Research 15
- Innovative Microfluidic and Catalytic Techniques Innovation 4
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- Pluripotent Stem Cells Research 7
- Co-authors
- Dong‐Woo Cho (14 shared papers)Byoung Soo Kim (11 shared papers)Hyungseok Lee (3 shared papers)Jinah Jang (10 shared papers)Hyeonji Kim (4 shared papers)Ge Gao (9 shared papers)Yang Woo Kwon (1 shared paper)Jae Ho Kim (1 shared paper)
- Journals
- Biomaterials (4 papers)Advanced Functional Materials (1 paper)Biomacromolecules (1 paper)Pharmaceutics (1 paper)Biofabrication (1 paper)
- Partner nations
- South KoreaChina
In The Last Decade
Wonil Han
17 papers receiving 1.3k citations
Wonil Han's Hit Papers
Peers
Comparison fields: 5 of 77
- Automotive Engineering 370
- Biomaterials 329
- Biomedical Engineering 976
- Rehabilitation 112
- Surgery 470
Countries citing papers authored by Wonil Han
This map shows the geographic impact of Wonil Han'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 Wonil Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wonil Han more than expected).
Fields of papers citing papers by Wonil Han
This network shows the impact of papers produced by Wonil Han. 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 Wonil Han. The network helps show where Wonil Han may publish in the future.
Co-authors
The 25 scholars most cited alongside Wonil Han, 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 | 3D cell printing of in vitro stabilized skin model and in vivo pre-vascularized skin patch using tissue-specific extracellular matrix bioink: A step towards advanced skin tissue engineering Hit paper breakdown → | 2018 | 432 |
| 2 | 2017 | 290 | |
| 3 | 2018 | 165 | |
| 4 | 2019 | 126 | |
| 5 | 2019 | 113 | |
| 6 | 2017 | 51 | |
| 7 | 2020 | 38 | |
| 8 | 2022 | 27 | |
| 9 | 2021 | 15 | |
| 10 | 2019 | 8 | |
| 11 | 2019 | 8 | |
| 12 | 2025 | 7 | |
| 13 | 2019 | 5 | |
| 14 | 2019 | 4 | |
| 15 | 2019 | 2 | |
| 16 | 2019 | 1 | |
| 17 | 2019 | 1 |
About Wonil Han
Wonil Han is a scholar working on Biomedical Engineering, Molecular Biology, Automotive Engineering, Surgery and Cellular and Molecular Neuroscience, having authored 17 papers that have together received 1.3k indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (15 papers), Pluripotent Stem Cells Research (7 papers), Additive Manufacturing and 3D Printing Technologies (6 papers), Tissue Engineering and Regenerative Medicine (4 papers), Innovative Microfluidic and Catalytic Techniques Innovation (4 papers), Neuroscience and Neural Engineering (3 papers), Cell Image Analysis Techniques (3 papers) and Cleft Lip and Palate Research (1 paper). The work is most often cited by research in Automotive Engineering (370 citations), Biomaterials (329 citations), Biomedical Engineering (976 citations), Rehabilitation (112 citations) and Surgery (470 citations). Wonil Han has collaborated with scholars based in South Korea and China. Frequent co-authors include Dong‐Woo Cho, Byoung Soo Kim, Hyungseok Lee, Jinah Jang, Hyeonji Kim, Ge Gao, Yang Woo Kwon, Jae Ho Kim, Gyu Tae Park and Moon‐Bum Kim. Their work appears in journals such as Biomaterials, Advanced Functional Materials, Biomacromolecules, Pharmaceutics and Biofabrication.
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.