Tae‐Jin Lee
- Molecular Biology top 5%
- Biomedical Engineering top 2%
- Biomaterials top 1%
- Surgery top 5%
- Genetics top 1%
- Co-authors
- Suk Ho BhangByung‐Soo KimTaeg Kyu KwonJong‐Wook ParkJung‐Youn ShinChanghyun PangSangyul BaikYoungjin Park
- Topics
- Electrospun Nanofibers in Biomedical Applications (21 papers)Mesenchymal stem cell research (18 papers)Tissue Engineering and Regenerative Medicine (14 papers)
- Partner nations
- South KoreaUnited StatesSudan
In The Last Decade
Tae‐Jin Lee
151 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 169
- Molecular Biology 1.6k
- Biomedical Engineering 1.5k
- Biomaterials 763
- Surgery 732
- Genetics 659
Countries citing papers authored by Tae‐Jin Lee
This map shows the geographic impact of Tae‐Jin Lee'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 Tae‐Jin Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tae‐Jin Lee more than expected).
Fields of papers citing papers by Tae‐Jin Lee
This network shows the impact of papers produced by Tae‐Jin Lee. 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 Tae‐Jin Lee. The network helps show where Tae‐Jin Lee may publish in the future.
Co-authorship network of co-authors of Tae‐Jin Lee
This figure shows the co-authorship network connecting the top 25 collaborators of Tae‐Jin Lee. A scholar is included among the top collaborators of Tae‐Jin Lee based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tae‐Jin Lee. Tae‐Jin Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 6 | |
| 3 | 23 | |
| 4 | 13 | |
| 5 | 13 | |
| 6 | 4 | |
| 7 | 5 | |
| 8 | 5 | |
| 9 | 7 | |
| 10 | 18 | |
| 11 | 11 | |
| 12 | 19 | |
| 13 | 93 | |
| 14 | 36 | |
| 15 | 1 | |
| 16 | The Significance of the Lymphatic Micro Vessel Density and Vascular Endothelial Growth Factor- C Expression for Colorectal Cancer | 1 |
| 17 | Sequence Batch Reactor(SBR) Operation Using Dissolved Oxygen Derivatives | 1 |
| 18 | A Study of Advanced Zinc Titanate Sorbent for Mid - Temperature Desulfurization | 2 |
| 19 | Adsorption Equilibria of Freon-113 on Activated Carbons | 4 |
| 20 | Methanation Kinetics of Carbon Oxides over Supported Ru and Ni Catalysts | 1 |
About Tae‐Jin Lee
Tae‐Jin Lee is a scholar working on Biomaterials, Genetics and Rehabilitation, having authored 155 papers that have together received 4.6k indexed citations. Recurring topics across this work include Electrospun Nanofibers in Biomedical Applications (21 papers), Mesenchymal stem cell research (18 papers) and Tissue Engineering and Regenerative Medicine (14 papers). The work is most often cited by research in Genetics (659 citations), Biomaterials (763 citations) and Surfaces, Coatings and Films (238 citations). Tae‐Jin Lee has collaborated with scholars based in South Korea, United States and Sudan. Frequent co-authors include Suk Ho Bhang, Byung‐Soo Kim, Taeg Kyu Kwon, Jong‐Wook Park, Jung‐Youn Shin, Changhyun Pang, Sangyul Baik, Youngjin Park, Da Wan Kim and Wan‐Geun La. Their work appears in journals such as Nature, The Journal of Experimental Medicine and ACS Nano.
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.