Yeunkum Lee
Impact in
- Developmental Neuroscience top 10%
- Neurogenesis and neuroplasticity mechanisms
-
- Neuroscience and Neuropharmacology Research
Papers in
- Genetics 17
- Genetics and Neurodevelopmental Disorders 17
-
- RNA Research and Splicing 6
- Genomics and Chromatin Dynamics 4
- Ubiquitin and proteasome pathways 3
- Co-authors
- Kihoon Han (19 shared papers)Yinhua Zhang (18 shared papers)Hyojin Kang (12 shared papers)Yoonhee Kim (10 shared papers)Bokyoung Lee (6 shared papers)Eunjoon Kim (5 shared papers)Yoonhee Kim (6 shared papers)Hyun Kim (4 shared papers)
- Journals
- Frontiers in Molecular Neuroscience (6 papers)Molecular Brain (3 papers)Biochemical and Biophysical Research Communications (2 papers)Neuroreport (1 paper)Scientific Reports (1 paper)
- Partner nations
- South KoreaJapanGermany
In The Last Decade
Yeunkum Lee
23 papers receiving 515 citations
Peers
Comparison fields: 5 of 64
- Developmental Neuroscience 42
- Cellular and Molecular Neuroscience 156
- Genetics 205
- Cognitive Neuroscience 87
- Molecular Biology 303
Countries citing papers authored by Yeunkum Lee
This map shows the geographic impact of Yeunkum 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 Yeunkum Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yeunkum Lee more than expected).
Fields of papers citing papers by Yeunkum Lee
This network shows the impact of papers produced by Yeunkum 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 Yeunkum Lee. The network helps show where Yeunkum Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Yeunkum 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
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 66 | |
| 2 | 2018 | 47 | |
| 3 | 2017 | 35 | |
| 4 | 2018 | 32 | |
| 5 | 2016 | 31 | |
| 6 | 2017 | 29 | |
| 7 | 2016 | 28 | |
| 8 | 2019 | 27 | |
| 9 | 2015 | 25 | |
| 10 | 2019 | 21 | |
| 11 | 2017 | 21 | |
| 12 | 2017 | 21 | |
| 13 | 2019 | 19 | |
| 14 | 2017 | 19 | |
| 15 | 2020 | 17 | |
| 16 | 2019 | 12 | |
| 17 | 2017 | 12 | |
| 18 | 2018 | 11 | |
| 19 | 2019 | 11 | |
| 20 | 2021 | 10 |
About Yeunkum Lee
Yeunkum Lee is a scholar working on Genetics, Molecular Biology, Cellular and Molecular Neuroscience, Cognitive Neuroscience and Cell Biology, having authored 23 papers that have together received 516 indexed citations. Recurring topics across this work include Genetics and Neurodevelopmental Disorders (17 papers), RNA Research and Splicing (6 papers), Neuroscience and Neuropharmacology Research (5 papers), Autism Spectrum Disorder Research (4 papers), Cellular transport and secretion (4 papers), Genomics and Chromatin Dynamics (4 papers), Ubiquitin and proteasome pathways (3 papers) and interferon and immune responses (3 papers). The work is most often cited by research in Developmental Neuroscience (42 citations), Cellular and Molecular Neuroscience (156 citations), Genetics (205 citations), Cognitive Neuroscience (87 citations) and Molecular Biology (303 citations). Yeunkum Lee has collaborated with scholars based in South Korea, Japan and Germany. Frequent co-authors include Kihoon Han, Yinhua Zhang, Hyojin Kang, Yoonhee Kim, Bokyoung Lee, Eunjoon Kim, Yoonhee Kim, Hyun Kim, Jae Ryun Ryu and Won-Ki Kim. Their work appears in journals such as Frontiers in Molecular Neuroscience, Molecular Brain, Biochemical and Biophysical Research Communications, Neuroreport and Scientific Reports.
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.