Tae Jin Lee
- Molecular Biology top 2%
- Cancer Research top 1%
- Oncology top 5%
- Biomedical Engineering top 10%
- Immunology top 10%
- Co-authors
- Peixuan GuoCarlo M. CroceJi Young YooBalveen KaurTaeg Kyu KwonJong‐Wook ParkYoung-Jun JeonTae‐Wan Kim
- Topics
- MicroRNA in disease regulation (18 papers)Glaucoma and retinal disorders (12 papers)Extracellular vesicles in disease (12 papers)
- Journals
- Proceedings of the National Academy of SciencesNature CommunicationsThe Journal of Experimental Medicine
- Partner nations
- United StatesSouth KoreaChina
In The Last Decade
Tae Jin Lee
184 papers receiving 4.8k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Molecular Biology 2.7k
- Cancer Research 1.3k
- Oncology 616
- Biomedical Engineering 411
- Immunology 371
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 | 2 | |
| 2 | 2 | |
| 3 | 9 | |
| 4 | 6 | |
| 5 | 3 | |
| 6 | 6 | |
| 7 | 6 | |
| 8 | 42 | |
| 9 | The abundance of Serine Protease Inhibitors in Human Aqueous Humor and Race and Gender-Specific Alterations in Glaucoma Patients | 2 |
| 10 | 14 | |
| 11 | 31 | |
| 12 | 14 | |
| 13 | 26 | |
| 14 | 2 | |
| 15 | 34 | |
| 16 | 2 | |
| 17 | 66 | |
| 18 | Cost-Utility Analysis of Paliperidone Palmitate Long Acting Injection (PLAI) versus Oral Atypical Antipsychotics in Non-Adherent Schizophrenia Patients in South Korea | 4 |
| 19 | Ureteral Small Cell Carcinoma: A Case Report | 1 |
| 20 | [Review Paper] Trinitrotoluene (TNT) Biotransformation Pathways Under Aerobic and Anaerobic Condition | 2 |
About Tae Jin Lee
Tae Jin Lee is a scholar working on Ophthalmology, Cancer Research and Aging, having authored 196 papers that have together received 4.9k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (18 papers), Glaucoma and retinal disorders (12 papers) and Extracellular vesicles in disease (12 papers). The work is most often cited by research in Cancer Research (1.3k citations), Molecular Biology (2.7k citations) and Oncology (616 citations). Tae Jin Lee has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Peixuan Guo, Carlo M. Croce, Ji Young Yoo, Balveen Kaur, Taeg Kyu Kwon, Jong‐Wook Park, Young-Jun Jeon, Tae‐Wan Kim, Ashok Sharma and Ji Heon Ryu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Experimental Medicine.
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.