Yooree Chae
Impact in
- Biological Psychiatry top 2%
- Tryptophan and brain disorders
- Developmental Neuroscience top 5%
Papers in
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- Epigenetics and DNA Methylation 4
- Single-cell and spatial transcriptomics 4
- Bioinformatics and Genomic Networks 2
- Genomics and Chromatin Dynamics 2
- Pluripotent Stem Cells Research 1
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- COVID-19 epidemiological studies 1
- Co-authors
- Ilya Shmulevich (1 shared paper)Andrew E. Lamb (1 shared paper)Jia Xin Yu (1 shared paper)James A. Eddy (1 shared paper)Verena Chung (1 shared paper)Vésteinn Thórsson (1 shared paper)David L. Gibbs (1 shared paper)Benjamin Garrett Vincent (1 shared paper)
- Journals
- Science (5 papers)JAMA Network Open (2 papers)Neuroscience (1 paper)Cell Reports (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesAustraliaIndia
In The Last Decade
Yooree Chae
13 papers receiving 2.9k citations
Yooree Chae's Hit Papers
Peers
Comparison fields: 5 of 124
- Biological Psychiatry 207
- Developmental Neuroscience 148
- Genetics 904
- Neurology 251
- Molecular Biology 1.5k
Countries citing papers authored by Yooree Chae
This map shows the geographic impact of Yooree Chae'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 Yooree Chae with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yooree Chae more than expected).
Fields of papers citing papers by Yooree Chae
This network shows the impact of papers produced by Yooree Chae. 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 Yooree Chae. The network helps show where Yooree Chae may publish in the future.
Co-authors
The 11 scholars most cited alongside Yooree Chae, 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 | Transcriptome-wide isoform-level dysregulation in ASD, schizophrenia, and bipolar disorder Hit paper breakdown → | 2018 | 892 |
| 2 | Comprehensive functional genomic resource and integrative model for the human brain Hit paper breakdown → | 2018 | 647 |
| 3 | Integrative functional genomic analysis of human brain development and neuropsychiatric risks Hit paper breakdown → | 2018 | 560 |
| 4 | 2018 | 233 | |
| 5 | Clinical Characterization and Prediction of Clinical Severity of SARS-CoV-2 Infection Among US Adults Using Data From the US National COVID Cohort Collaborative Hit paper breakdown → | 2021 | 187 |
| 6 | 2020 | 185 | |
| 7 | 2021 | 66 | |
| 8 | 2020 | 47 | |
| 9 | 2022 | 42 | |
| 10 | 2021 | 42 | |
| 11 | 2018 | 37 | |
| 12 | 2022 | 11 | |
| 13 | 2016 | 6 |
About Yooree Chae
Yooree Chae is a scholar working on Molecular Biology, Modeling and Simulation, Physiology, Endocrine and Autonomic Systems and Neurology, having authored 13 papers that have together received 3.0k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (4 papers), Single-cell and spatial transcriptomics (4 papers), Bioinformatics and Genomic Networks (2 papers), Genomics and Chromatin Dynamics (2 papers), Cancer Genomics and Diagnostics (1 paper), COVID-19 epidemiological studies (1 paper), Pluripotent Stem Cells Research (1 paper) and Parkinson's Disease Mechanisms and Treatments (1 paper). The work is most often cited by research in Biological Psychiatry (207 citations), Developmental Neuroscience (148 citations), Genetics (904 citations), Neurology (251 citations) and Molecular Biology (1.5k citations). Yooree Chae has collaborated with scholars based in United States, Australia and India. Frequent co-authors include Ilya Shmulevich, Andrew E. Lamb, Jia Xin Yu, James A. Eddy, Verena Chung, Vésteinn Thórsson, David L. Gibbs, Benjamin Garrett Vincent, Justin Guinney and Kristen K. Dang. Their work appears in journals such as Science, JAMA Network Open, Neuroscience, Cell Reports 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.