Da Yoon No
Impact in
- Hepatology top 2%
- Liver physiology and pathology
- Biomedical Engineering top 5%
- 3D Printing in Biomedical Research
- Innovative Microfluidic and Catalytic Techniques Innovation
- Microfluidic and Bio-sensing Technologies
Papers in
-
- 3D Printing in Biomedical Research 10
- Innovative Microfluidic and Catalytic Techniques Innovation 2
- Surgery 8
- Tissue Engineering and Regenerative Medicine 5
- Pancreatic function and diabetes 4
- Co-authors
- Sang‐Hoon Lee (6 shared papers)Dong‐Sik Kim (3 shared papers)Jaeseo Lee (3 shared papers)Kwang Ho Lee (1 shared paper)Edward Kang (2 shared papers)Yoon Young Choi (2 shared papers)Jongil Ju (2 shared papers)Bong Geun Chung (1 shared paper)
- Journals
- Biomaterials (3 papers)Lab on a Chip (3 papers)PLoS ONE (2 papers)Nature Communications (1 paper)Integrative Biology (1 paper)
- Partner nations
- South KoreaUnited StatesSingapore
In The Last Decade
Da Yoon No
12 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 78
- Hepatology 253
- Biomedical Engineering 791
- Surgery 279
- Automotive Engineering 86
- Biomaterials 90
Countries citing papers authored by Da Yoon No
This map shows the geographic impact of Da Yoon No'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 Da Yoon No with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Da Yoon No more than expected).
Fields of papers citing papers by Da Yoon No
This network shows the impact of papers produced by Da Yoon No. 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 Da Yoon No. The network helps show where Da Yoon No may publish in the future.
Co-authors
The 25 scholars most cited alongside Da Yoon No, 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 | 2013 | 226 | |
| 2 | 2011 | 157 | |
| 3 | 2015 | 148 | |
| 4 | 2018 | 100 | |
| 5 | 2013 | 86 | |
| 6 | 2012 | 64 | |
| 7 | 2011 | 61 | |
| 8 | 2016 | 51 | |
| 9 | 2016 | 39 | |
| 10 | 2014 | 35 | |
| 11 | 2014 | 34 | |
| 12 | 2017 | 25 |
About Da Yoon No
Da Yoon No is a scholar working on Biomedical Engineering, Surgery, Hepatology, Molecular Biology and Biomaterials, having authored 12 papers that have together received 1.0k indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (10 papers), Liver physiology and pathology (8 papers), Tissue Engineering and Regenerative Medicine (5 papers), Pancreatic function and diabetes (4 papers), Electrospun Nanofibers in Biomedical Applications (2 papers), Innovative Microfluidic and Catalytic Techniques Innovation (2 papers), Viral Infectious Diseases and Gene Expression in Insects (1 paper) and Cancer Cells and Metastasis (1 paper). The work is most often cited by research in Hepatology (253 citations), Biomedical Engineering (791 citations), Surgery (279 citations), Automotive Engineering (86 citations) and Biomaterials (90 citations). Da Yoon No has collaborated with scholars based in South Korea, United States and Singapore. Frequent co-authors include Sang‐Hoon Lee, Dong‐Sik Kim, Jaeseo Lee, Kwang Ho Lee, Edward Kang, Yoon Young Choi, Jongil Ju, Bong Geun Chung, Gi Seok Jeong and Hyo‐Jeong Kuh. Their work appears in journals such as Biomaterials, Lab on a Chip, PLoS ONE, Nature Communications and Integrative Biology.
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.