Yesl Jun
Impact in
- Biomaterials top 2%
- Electrospun Nanofibers in Biomedical Applications
- Biomedical Engineering top 5%
- 3D Printing in Biomedical Research
- Innovative Microfluidic and Catalytic Techniques Innovation
- Advanced Sensor and Energy Harvesting Materials
Papers in
-
- 3D Printing in Biomedical Research 10
- Microfluidic and Bio-sensing Technologies 2
- Advanced Sensor and Energy Harvesting Materials 2
- Surgery 7
- Pancreatic function and diabetes 6
- Co-authors
- Sang‐Hoon Lee (12 shared papers)Edward Kang (2 shared papers)Jie Cheng (1 shared paper)Jianhua Qin (1 shared paper)Sukyoung Chae (1 shared paper)Dong Yun Lee (3 shared papers)Seok Chung (4 shared papers)Gi Seok Jeong (3 shared papers)
- Journals
- Lab on a Chip (5 papers)Biomaterials (4 papers)Acta Biomaterialia (2 papers)Nature Communications (1 paper)Frontiers in Bioengineering and Biotechnology (1 paper)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Yesl Jun
19 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 88
- Biomaterials 419
- Biomedical Engineering 898
- Automotive Engineering 133
- Molecular Medicine 52
- Surgery 361
Countries citing papers authored by Yesl Jun
This map shows the geographic impact of Yesl Jun'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 Yesl Jun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yesl Jun more than expected).
Fields of papers citing papers by Yesl Jun
This network shows the impact of papers produced by Yesl Jun. 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 Yesl Jun. The network helps show where Yesl Jun may publish in the future.
Co-authors
The 25 scholars most cited alongside Yesl Jun, 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 | 2016 | 308 | |
| 2 | 2014 | 294 | |
| 3 | 2019 | 121 | |
| 4 | 2013 | 99 | |
| 5 | 2014 | 64 | |
| 6 | 2013 | 64 | |
| 7 | 2018 | 56 | |
| 8 | 2023 | 47 | |
| 9 | 2012 | 46 | |
| 10 | 2010 | 44 | |
| 11 | 2011 | 41 | |
| 12 | 2022 | 34 | |
| 13 | 2016 | 27 | |
| 14 | 2017 | 27 | |
| 15 | 2016 | 23 | |
| 16 | 2023 | 22 | |
| 17 | 2021 | 15 | |
| 18 | 2025 | 6 | |
| 19 | 2024 | 5 |
About Yesl Jun
Yesl Jun is a scholar working on Biomedical Engineering, Surgery, Molecular Biology, Biomaterials and Cellular and Molecular Neuroscience, having authored 19 papers that have together received 1.3k indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (10 papers), Pancreatic function and diabetes (6 papers), Pluripotent Stem Cells Research (5 papers), Electrospun Nanofibers in Biomedical Applications (3 papers), Diabetes Management and Research (2 papers), Diabetes and associated disorders (2 papers), Microfluidic and Bio-sensing Technologies (2 papers) and Advanced Sensor and Energy Harvesting Materials (2 papers). The work is most often cited by research in Biomaterials (419 citations), Biomedical Engineering (898 citations), Automotive Engineering (133 citations), Molecular Medicine (52 citations) and Surgery (361 citations). Yesl Jun has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Sang‐Hoon Lee, Edward Kang, Jie Cheng, Jianhua Qin, Sukyoung Chae, Dong Yun Lee, Seok Chung, Gi Seok Jeong, Maike Sander and Jae Seo Lee. Their work appears in journals such as Lab on a Chip, Biomaterials, Acta Biomaterialia, Nature Communications and Frontiers in Bioengineering and 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.