Moonsook Lee
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
Papers in
-
- Single-cell and spatial transcriptomics 10
- DNA Repair Mechanisms 5
- Epigenetics and DNA Methylation 4
- CRISPR and Genetic Engineering 3
-
- Cancer Genomics and Diagnostics 11
- Co-authors
- Jan Vijg (24 shared papers)Alexander Y. Maslov (18 shared papers)Xiao Dong (13 shared papers)Lei Zhang (5 shared papers)Tao Wang (2 shared papers)Brandon Milholland (4 shared papers)Shixiang Sun (6 shared papers)Hongwen Zhu (2 shared papers)
- Journals
- PLoS ONE (3 papers)Scientific Reports (2 papers)Proceedings of the National Academy of Sciences (2 papers)Science Advances (2 papers)Nature Methods (2 papers)
- Partner nations
- United StatesChinaRussia
In The Last Decade
Moonsook Lee
26 papers receiving 814 citations
Peers
Comparison fields: 5 of 81
- Aging 68
- Cancer Research 287
- Molecular Biology 567
- Genetics 161
- Geriatrics and Gerontology 13
Countries citing papers authored by Moonsook Lee
This map shows the geographic impact of Moonsook 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 Moonsook Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Moonsook Lee more than expected).
Fields of papers citing papers by Moonsook Lee
This network shows the impact of papers produced by Moonsook 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 Moonsook Lee. The network helps show where Moonsook Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Moonsook 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 168 | |
| 2 | 2019 | 161 | |
| 3 | 2022 | 78 | |
| 4 | 2012 | 56 | |
| 5 | 2004 | 45 | |
| 6 | 2005 | 37 | |
| 7 | 2013 | 36 | |
| 8 | 2021 | 31 | |
| 9 | 2022 | 31 | |
| 10 | 2020 | 27 | |
| 11 | 2011 | 23 | |
| 12 | 2014 | 22 | |
| 13 | 2019 | 15 | |
| 14 | 2018 | 14 | |
| 15 | 2016 | 13 | |
| 16 | 2023 | 12 | |
| 17 | 2023 | 12 | |
| 18 | 2014 | 12 | |
| 19 | Single-cell analysis of somatic mutation burden in mammary epithelial cells of pathogenic BRCA1/2 mutation carriers | 2022 | 11 |
| 20 | 2018 | 4 |
About Moonsook Lee
Moonsook Lee is a scholar working on Molecular Biology, Cancer Research, Genetics, Surgery and Aging, having authored 28 papers that have together received 820 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (11 papers), Single-cell and spatial transcriptomics (10 papers), DNA Repair Mechanisms (5 papers), Epigenetics and DNA Methylation (4 papers), Genomics and Rare Diseases (3 papers), CRISPR and Genetic Engineering (3 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers) and Evolution and Genetic Dynamics (2 papers). The work is most often cited by research in Aging (68 citations), Cancer Research (287 citations), Molecular Biology (567 citations), Genetics (161 citations) and Geriatrics and Gerontology (13 citations). Moonsook Lee has collaborated with scholars based in United States, China and Russia. Frequent co-authors include Jan Vijg, Alexander Y. Maslov, Xiao Dong, Lei Zhang, Tao Wang, Brandon Milholland, Shixiang Sun, Hongwen Zhu, Noboru Hiroi and Yousin Suh. Their work appears in journals such as PLoS ONE, Scientific Reports, Proceedings of the National Academy of Sciences, Science Advances and Nature Methods.
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.