Lien‐Guo Dai
Impact in
- Rehabilitation top 5%
- Wound Healing and Treatments
- Biomaterials top 5%
- Electrospun Nanofibers in Biomedical Applications
Papers in
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- Wound Healing and Treatments 8
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- Electrospun Nanofibers in Biomedical Applications 4
- Silk-based biomaterials and applications 3
- Co-authors
- Shan‐hui Hsu (9 shared papers)Guo-Shiang Huang (2 shared papers)Kun‐Che Hung (2 shared papers)Ching‐Shiow Tseng (1 shared paper)B. Linju Yen (1 shared paper)Niann‐Tzyy Dai (16 shared papers)Keng‐Yen Fu (13 shared papers)Pai‐Shan Hsieh (10 shared papers)
In The Last Decade
Lien‐Guo Dai
21 papers receiving 770 citations
Peers
Comparison fields: 5 of 75
- Rehabilitation 111
- Biomaterials 240
- Genetics 139
- Urology 45
- Automotive Engineering 92
Countries citing papers authored by Lien‐Guo Dai
This map shows the geographic impact of Lien‐Guo Dai'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 Lien‐Guo Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lien‐Guo Dai more than expected).
Fields of papers citing papers by Lien‐Guo Dai
This network shows the impact of papers produced by Lien‐Guo Dai. 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 Lien‐Guo Dai. The network helps show where Lien‐Guo Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Lien‐Guo Dai, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 210 | |
| 2 | 2011 | 200 | |
| 3 | 2013 | 67 | |
| 4 | 2011 | 58 | |
| 5 | 2017 | 46 | |
| 6 | 2018 | 38 | |
| 7 | 2019 | 27 | |
| 8 | 2018 | 22 | |
| 9 | 2018 | 19 | |
| 10 | 2018 | 17 | |
| 11 | 2017 | 13 | |
| 12 | 2013 | 13 | |
| 13 | 2019 | 11 | |
| 14 | 2022 | 11 | |
| 15 | 2021 | 10 | |
| 16 | 2015 | 9 | |
| 17 | 2018 | 4 | |
| 18 | Evaluation of Wound Healing Efficacy of an Antimicrobial Spray Dressing at Skin Donor Sites. | 2015 | 3 |
| 19 | 2024 | 2 | |
| 20 | 2022 | 2 |
About Lien‐Guo Dai
Lien‐Guo Dai is a scholar working on Rehabilitation, Biomaterials, Molecular Biology, Genetics and Surgery, having authored 21 papers that have together received 783 indexed citations. Recurring topics across this work include Wound Healing and Treatments (8 papers), Electrospun Nanofibers in Biomedical Applications (4 papers), Mesenchymal stem cell research (4 papers), Silk-based biomaterials and applications (3 papers), Nerve injury and regeneration (3 papers), 3D Printing in Biomedical Research (3 papers), Periodontal Regeneration and Treatments (3 papers) and Osteoarthritis Treatment and Mechanisms (2 papers). The work is most often cited by research in Rehabilitation (111 citations), Biomaterials (240 citations), Genetics (139 citations), Urology (45 citations) and Automotive Engineering (92 citations). Lien‐Guo Dai has collaborated with scholars based in Taiwan, Australia and Japan. Frequent co-authors include Shan‐hui Hsu, Guo-Shiang Huang, Kun‐Che Hung, Ching‐Shiow Tseng, B. Linju Yen, Niann‐Tzyy Dai, Keng‐Yen Fu, Pai‐Shan Hsieh, Ing‐Ming Chiu and Jeng‐Rung Chen. Their work appears in journals such as Annals of Plastic Surgery, PeerJ, Cell Transplantation, Biomaterials and Advanced Drug Delivery Reviews.
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.