Choli Lee
- Aging top 1%
- Genetics top 0.5%
- Genomics and Rare Diseases 3
- Molecular Biology top 1%
- RNA and protein synthesis mechanisms 12
- Genomics and Chromatin Dynamics 11
- Single-cell and spatial transcriptomics 9
- Genomics and Phylogenetic Studies 6
- CRISPR and Genetic Engineering 6
- Cancer Research top 1%
- Cancer Genomics and Diagnostics 4
- Biophysics top 1%
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- Chromosomal and Genetic Variations 6
- Co-authors
- Jay ShendureSarah NgDeborah A. NickersonAbigail W. BighamMichael J. BamshadEvan E. EichlerEmily H. TurnerRiza M. Daza
- Cited by
- AgingGeneticsMolecular Biology
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Choli Lee
36 papers receiving 8.0k citations
Hit Papers
Peers
Comparison fields: 5 of 168
- Aging 232
- Genetics 2.9k
- Molecular Biology 5.7k
- Cancer Research 1.1k
- Biophysics 230
Countries citing papers authored by Choli Lee
This map shows the geographic impact of Choli 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 Choli Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Choli Lee more than expected).
Fields of papers citing papers by Choli Lee
This network shows the impact of papers produced by Choli 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 Choli Lee. The network helps show where Choli Lee may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Choli 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 | 13 | |
| 2 | 2024 | 12 | |
| 3 | 2024 | 35 | |
| 4 | 2024 | 20 | |
| 5 | 2021 | 16 | |
| 6 | Precise genomic deletions using paired prime editingbreakdown → | 2021 | 179 |
| 7 | 2020 | 57 | |
| 8 | 2019 | 57 | |
| 9 | Comprehensive single-cell transcriptional profiling of a multicellular organismbreakdown → | 2017 | 896 |
| 10 | 2017 | 93 | |
| 11 | 2015 | 151 | |
| 12 | 2014 | 152 | |
| 13 | 2014 | 127 | |
| 14 | 2013 | 246 | |
| 15 | 2012 | 20 | |
| 16 | 2012 | 65 | |
| 17 | 2011 | 55 | |
| 18 | 2011 | 18 | |
| 19 | Exome sequencing in sporadic autism spectrum disorders identifies severe de novo mutationsbreakdown → | 2011 | 806 |
| 20 | 2009 | 263 |
About Choli Lee
Choli Lee is a scholar working on Aging, Molecular Biology and Cancer Research, having authored 36 papers that have together received 8.1k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (12 papers), Genomics and Chromatin Dynamics (11 papers), Single-cell and spatial transcriptomics (9 papers), Genomics and Phylogenetic Studies (6 papers), CRISPR and Genetic Engineering (6 papers), Chromosomal and Genetic Variations (6 papers), Cancer Genomics and Diagnostics (4 papers) and Genomics and Rare Diseases (3 papers). The work is most often cited by research in Aging (232 citations), Genetics (2.9k citations) and Molecular Biology (5.7k citations). Choli Lee has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Jay Shendure, Sarah Ng, Deborah A. Nickerson, Abigail W. Bigham, Michael J. Bamshad, Evan E. Eichler, Emily H. Turner, Riza M. Daza, Paul Shannon and Karin M. Dent. Their work appears in journals such as Nature, Nature Methods, Nature Biotechnology, Methods and Genome Research.
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.