Jea-Young Lee
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms 8
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms 14
- Biological Psychiatry top 10%
- Genetics top 10%
- Genetic and phenotypic traits in livestock 14
- Genetic Mapping and Diversity in Plants and Animals 10
- Mesenchymal stem cell research 9
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- Neuroscience and Neuropharmacology Research 12
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- Retinal Development and Disorders 10
- Connexins and lens biology 6
- Co-authors
- Cesar V. BorlonganChang‐Jin JeonSandra AcostaHung NguyenNaoki TajiriPaula C. BickfordCharles E. HudsonSandra A. Acosta
- Partner nations
- United StatesSouth KoreaItaly
In The Last Decade
Jea-Young Lee
67 papers receiving 892 citations
Peers
Comparison fields: 5 of 105
- Developmental Neuroscience 91
- Neurology 173
- Biological Psychiatry 35
- Genetics 105
- Cellular and Molecular Neuroscience 173
Countries citing papers authored by Jea-Young Lee
This map shows the geographic impact of Jea-Young 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 Jea-Young Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jea-Young Lee more than expected).
Fields of papers citing papers by Jea-Young Lee
This network shows the impact of papers produced by Jea-Young 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 Jea-Young Lee. The network helps show where Jea-Young Lee may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jea-Young 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 | 2024 | 31 | |
| 2 | 2023 | 6 | |
| 3 | 2023 | 1 | |
| 4 | 2022 | 10 | |
| 5 | 2022 | 9 | |
| 6 | 2021 | 5 | |
| 7 | 2021 | 7 | |
| 8 | 2021 | 13 | |
| 9 | 2019 | 41 | |
| 10 | 2019 | 29 | |
| 11 | 2019 | 12 | |
| 12 | 2019 | 2 | |
| 13 | 2018 | 7 | |
| 14 | 2017 | 22 | |
| 15 | 2011 | 5 | |
| 16 | Support vector machine and multifactor dimensionality reduction for detecting major gene interactions of continuous data | 2010 | 1 |
| 17 | Detection of major genotypes combination by genotype matrix mapping (GMM) | 2010 | 1 |
| 18 | Populations of Rod and Cone Photoreceptors in the Hamster Retina | 2009 | 2 |
| 19 | Bootstrapping and DNA marker Mining of BMS941 microsatellite locus in Hanwoo chromosome 17 | 2007 | 1 |
| 20 | Bootstrapping of Hanwoo Chromosome17 Based on BMS1167 Microsatellite Locus | 2007 | 1 |
About Jea-Young Lee
Jea-Young Lee is a scholar working on Developmental Neuroscience, Neurology and Cellular and Molecular Neuroscience, having authored 74 papers that have together received 925 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (14 papers), Genetic and phenotypic traits in livestock (14 papers), Neuroscience and Neuropharmacology Research (12 papers), Genetic Mapping and Diversity in Plants and Animals (10 papers), Retinal Development and Disorders (10 papers), Mesenchymal stem cell research (9 papers), Neurogenesis and neuroplasticity mechanisms (8 papers) and Connexins and lens biology (6 papers). The work is most often cited by research in Developmental Neuroscience (91 citations), Neurology (173 citations) and Biological Psychiatry (35 citations). Jea-Young Lee has collaborated with scholars based in United States, South Korea and Italy. Frequent co-authors include Cesar V. Borlongan, Chang‐Jin Jeon, Sandra Acosta, Hung Nguyen, Naoki Tajiri, Paula C. Bickford, Charles E. Hudson, Sandra A. Acosta, Lauren D. Moss and Niketa Patel.
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.