Sukhee Cho
Impact in
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
- Biological Psychiatry top 5%
Papers in
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- Neurogenesis and neuroplasticity mechanisms 6
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- Video Coding and Compression Technologies 15
- Co-authors
- Jinsoo SeoLi‐Huei TsaiAlexi NottLi-Huei TsaiRam MadabhushiRichard RuedaHyein LeeRyan Stott
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Cell Reports (2 papers)Cell (2 papers)The Structural Design of Tall and Special Buildings (2 papers)Molecular Brain (2 papers)
- Partner nations
- South KoreaUnited StatesUnited Kingdom
In The Last Decade
Sukhee Cho
55 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Developmental Neuroscience 145
- Biological Psychiatry 74
- Cellular and Molecular Neuroscience 531
- Neurology 216
- Signal Processing 183
Countries citing papers authored by Sukhee Cho
This map shows the geographic impact of Sukhee Cho'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 Sukhee Cho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sukhee Cho more than expected).
Fields of papers citing papers by Sukhee Cho
This network shows the impact of papers produced by Sukhee Cho. 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 Sukhee Cho. The network helps show where Sukhee Cho may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sukhee Cho, 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 | 2025 | 1 | |
| 2 | 2023 | 37 | |
| 3 | 2022 | 3 | |
| 4 | 2021 | 65 | |
| 5 | 2021 | 18 | |
| 6 | 2021 | 0 | |
| 7 | 2021 | 2 | |
| 8 | 2017 | 120 | |
| 9 | 2015 | 176 | |
| 10 | 2015 | 18 | |
| 11 | Activity-Induced DNA Breaks Govern the Expression of Neuronal Early-Response Genes Hit paper breakdown → | 2015 | 489 |
| 12 | 2014 | 66 | |
| 13 | 2014 | 79 | |
| 14 | 2013 | 36 | |
| 15 | 2013 | 19 | |
| 16 | 2013 | 58 | |
| 17 | 2012 | 4 | |
| 18 | 2011 | 115 | |
| 19 | 2009 | 121 | |
| 20 | 2008 | 2 |
About Sukhee Cho
Sukhee Cho is a scholar working on Developmental Neuroscience, Signal Processing, Computer Vision and Pattern Recognition, Cellular and Molecular Neuroscience and Media Technology, having authored 58 papers that have together received 2.1k indexed citations. Recurring topics across this work include Video Coding and Compression Technologies (15 papers), Neuroscience and Neuropharmacology Research (11 papers), Image and Video Quality Assessment (11 papers), Advanced Vision and Imaging (9 papers), Advanced Data Compression Techniques (7 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Neurogenesis and neuroplasticity mechanisms (6 papers) and Advanced Image Processing Techniques (5 papers). The work is most often cited by research in Developmental Neuroscience (145 citations), Biological Psychiatry (74 citations), Cellular and Molecular Neuroscience (531 citations), Neurology (216 citations) and Signal Processing (183 citations). Sukhee Cho has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Jinsoo Seo, Li‐Huei Tsai, Alexi Nott, Li-Huei Tsai, Ram Madabhushi, Richard Rueda, Hyein Lee, Ryan Stott, Hidekuni Yamakawa and Elizabeta Gjoneska. Their work appears in journals such as Proceedings of the National Academy of Sciences, Cell Reports, Cell, The Structural Design of Tall and Special Buildings and Molecular Brain.
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.