Yesl Jun
Impact in
- Biomaterials top 2%
- Electrospun Nanofibers in Biomedical Applications
- Molecular Medicine top 5%
- Hydrogels: synthesis, properties, applications
Papers in
- Surgery 9
- Pancreatic function and diabetes 8
-
- Electrospun Nanofibers in Biomedical Applications 2
- Silk-based biomaterials and applications 1
- Co-authors
- Sang‐Hoon Lee (12 shared papers)Edward Kang (2 shared papers)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)Maike Sander (3 shared papers)
- Journals
- Lab on a Chip (5 papers)Biomaterials (4 papers)Acta Biomaterialia (2 papers)Journal of Clinical Investigation (1 paper)Nature Communications (1 paper)
- Partner nations
- South KoreaUnited StatesGermany
In The Last Decade
Yesl Jun
20 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 81
- Biomaterials 381
- Molecular Medicine 166
- Biomedical Engineering 671
- Surgery 287
- Genetics 58
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 | 330 | |
| 2 | 2014 | 308 | |
| 3 | 2019 | 136 | |
| 4 | 2013 | 110 | |
| 5 | 2014 | 69 | |
| 6 | 2013 | 66 | |
| 7 | 2018 | 60 | |
| 8 | 2023 | 55 | |
| 9 | 2010 | 49 | |
| 10 | 2012 | 47 | |
| 11 | 2011 | 42 | |
| 12 | 2022 | 38 | |
| 13 | 2016 | 30 | |
| 14 | 2017 | 27 | |
| 15 | 2023 | 27 | |
| 16 | 2016 | 26 | |
| 17 | 2021 | 17 | |
| 18 | 2023 | 13 | |
| 19 | 2025 | 13 | |
| 20 | 2024 | 6 |
About Yesl Jun
Yesl Jun is a scholar working on Surgery, Biomaterials, Biomedical Engineering, Genetics and Cell Biology, having authored 20 papers that have together received 1.5k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (8 papers), 3D Printing in Biomedical Research (5 papers), Pluripotent Stem Cells Research (3 papers), Microfluidic and Capillary Electrophoresis Applications (3 papers), Electrospun Nanofibers in Biomedical Applications (2 papers), Mesenchymal stem cell research (2 papers), Silk-based biomaterials and applications (1 paper) and Lymphatic System and Diseases (1 paper). The work is most often cited by research in Biomaterials (381 citations), Molecular Medicine (166 citations), Biomedical Engineering (671 citations), Surgery (287 citations) and Genetics (58 citations). Yesl Jun has collaborated with scholars based in South Korea, United States and Germany. Frequent co-authors include Sang‐Hoon Lee, Edward Kang, Jianhua Qin, Sukyoung Chae, Dong Yun Lee, Seok Chung, Gi Seok Jeong, Maike Sander, Jae Seo Lee and Min Jun Kim. Their work appears in journals such as Lab on a Chip, Biomaterials, Acta Biomaterialia, Journal of Clinical Investigation and Nature Communications.
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.