Tae Jun Lee
Impact in
- Ophthalmology top 5%
- Retinal Diseases and Treatments
- Biophysics top 10%
Papers in
-
- Retinal Development and Disorders 5
- Gene Regulatory Network Analysis 2
- Connexins and lens biology 1
- Single-cell and spatial transcriptomics 1
-
- Retinal Diseases and Treatments 4
- Co-authors
- Lingchong You (2 shared papers)Guang Yao (2 shared papers)Seiichi Mori (1 shared paper)Joseph R. Nevins (1 shared paper)Rajendra S. Apte (8 shared papers)Norimitsu Ban (5 shared papers)Andrea Santeford (8 shared papers)Zhenyu Dong (2 shared papers)
- Journals
- JCI Insight (2 papers)Journal of Lipid Research (1 paper)Nature Cell Biology (1 paper)Experimental Eye Research (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesJapanRussia
In The Last Decade
Tae Jun Lee
11 papers receiving 526 citations
Peers
Comparison fields: 5 of 72
- Ophthalmology 95
- Biophysics 38
- Cell Biology 107
- Molecular Biology 399
- Geriatrics and Gerontology 18
Countries citing papers authored by Tae Jun Lee
This map shows the geographic impact of Tae Jun 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 Jun 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 Jun Lee more than expected).
Fields of papers citing papers by Tae Jun Lee
This network shows the impact of papers produced by Tae Jun 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 Jun Lee. The network helps show where Tae Jun Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Tae Jun Lee, 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 | 2008 | 336 | |
| 2 | 2018 | 56 | |
| 3 | 2020 | 53 | |
| 4 | 2019 | 32 | |
| 5 | 2018 | 21 | |
| 6 | 2024 | 20 | |
| 7 | 2014 | 5 | |
| 8 | 2024 | 3 | |
| 9 | 2024 | 2 | |
| 10 | Academic institutions electronic-recruitment efforts on academic diversity: A comparative analysis of websites of US, UK, and South Korean universities | 2018 | 1 |
| 11 | Physicians, knowledge, attitude and practice for quit smokingcounseling. | 1991 | 1 |
| 12 | 2025 | 0 | |
| 13 | 2023 | 0 | |
| 14 | 2022 | 0 | |
| 15 | 2026 | 0 |
About Tae Jun Lee
Tae Jun Lee is a scholar working on Molecular Biology, Ophthalmology, Cellular and Molecular Neuroscience, Surgery and Communication, having authored 15 papers that have together received 530 indexed citations. Recurring topics across this work include Retinal Development and Disorders (5 papers), Retinal Diseases and Treatments (4 papers), Cholesterol and Lipid Metabolism (3 papers), Photoreceptor and optogenetics research (3 papers), Gene Regulatory Network Analysis (2 papers), interferon and immune responses (1 paper), Connexins and lens biology (1 paper) and Single-cell and spatial transcriptomics (1 paper). The work is most often cited by research in Ophthalmology (95 citations), Biophysics (38 citations), Cell Biology (107 citations), Molecular Biology (399 citations) and Geriatrics and Gerontology (18 citations). Tae Jun Lee has collaborated with scholars based in United States, Japan and Russia. Frequent co-authors include Lingchong You, Guang Yao, Seiichi Mori, Joseph R. Nevins, Rajendra S. Apte, Norimitsu Ban, Andrea Santeford, Zhenyu Dong, Jonathan B. Lin and Daniel Ory. Their work appears in journals such as JCI Insight, Journal of Lipid Research, Nature Cell Biology, Experimental Eye Research 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.