Sang‐Eun Lee
- Molecular Biology
- Cellular and Molecular Neuroscience top 10%
- Cell Biology top 10%
- Physiology
- Biomedical Engineering
- Co-authors
- Sunghoe ChangDaehun ParkQ. Richard LuJennifer N. DulinHeng WuEdward C. HurlockJeong‐Sook ParkKyung‐Hwan Jung
- Topics
- RNA Interference and Gene Delivery (6 papers)Cellular transport and secretion (6 papers)RNA Research and Splicing (6 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- South KoreaUnited StatesUnited Kingdom
In The Last Decade
Sang‐Eun Lee
56 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 126
- Molecular Biology 495
- Cellular and Molecular Neuroscience 164
- Cell Biology 125
- Physiology 125
- Biomedical Engineering 125
Countries citing papers authored by Sang‐Eun Lee
This map shows the geographic impact of Sang‐Eun 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 Sang‐Eun Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sang‐Eun Lee more than expected).
Fields of papers citing papers by Sang‐Eun Lee
This network shows the impact of papers produced by Sang‐Eun 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 Sang‐Eun Lee. The network helps show where Sang‐Eun Lee may publish in the future.
Co-authorship network of co-authors of Sang‐Eun Lee
This figure shows the co-authorship network connecting the top 25 collaborators of Sang‐Eun Lee. A scholar is included among the top collaborators of Sang‐Eun 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 Sang‐Eun Lee. Sang‐Eun 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 | 0 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 23 | |
| 6 | 7 | |
| 7 | 24 | |
| 8 | 58 | |
| 9 | 3 | |
| 10 | 16 | |
| 11 | 1 | |
| 12 | 53 | |
| 13 | 37 | |
| 14 | 9 | |
| 15 | 7 | |
| 16 | 1 | |
| 17 | 10 | |
| 18 | 104 | |
| 19 | A Study on the Behavior of Women Student in the University about Make-up | 1 |
| 20 | Nondestructive and Rapid Estimation of Chlorophyll Content in Rye Leaf Using Digital Camera | 8 |
About Sang‐Eun Lee
Sang‐Eun Lee is a scholar working on Museology, Molecular Biology and Cell Biology, having authored 63 papers that have together received 1.1k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (6 papers), Cellular transport and secretion (6 papers) and RNA Research and Splicing (6 papers). The work is most often cited by research in Developmental Neuroscience (90 citations), Neurology (104 citations) and Cellular and Molecular Neuroscience (164 citations). Sang‐Eun Lee has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Sunghoe Chang, Daehun Park, Q. Richard Lu, Jennifer N. Dulin, Heng Wu, Edward C. Hurlock, Jeong‐Sook Park, Kyung‐Hwan Jung, Yoonju Kim and Do Hyung Kang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.