Sunghoon Lee
Impact in
- Genetics top 5%
- Forensic and Genetic Research
- Genetic diversity and population structure
- Cancer Research top 10%
Papers in
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- Cancer Genomics and Diagnostics 6
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- RNA modifications and cancer 4
- Epigenetics and DNA Methylation 4
- Genomics and Phylogenetic Studies 3
- Co-authors
- Vassilios D. Papadopoulos (6 shared papers)Leeyah Issop (3 shared papers)Enrico Campioli (2 shared papers)Malena B. Rone (1 shared paper)Kaustuv Basu (1 shared paper)Jinjiang Fan (1 shared paper)Jeannie Mui (1 shared paper)Jong Bhak (12 shared papers)
- Journals
- Nucleic Acids Research (3 papers)PLoS ONE (3 papers)BMC Genomics (3 papers)Scientific Reports (3 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- South KoreaUnited StatesCanada
In The Last Decade
Sunghoon Lee
83 papers receiving 2.3k citations
Sunghoon Lee's Hit Papers
Peers
Comparison fields: 5 of 160
- Genetics 601
- Cancer Research 186
- Molecular Biology 904
- Plant Science 415
- Archeology 95
Countries citing papers authored by Sunghoon Lee
This map shows the geographic impact of Sunghoon 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 Sunghoon Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sunghoon Lee more than expected).
Fields of papers citing papers by Sunghoon Lee
This network shows the impact of papers produced by Sunghoon 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 Sunghoon Lee. The network helps show where Sunghoon Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Sunghoon 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 90 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Mapping Human Genetic Diversity in Asia Hit paper breakdown → | 2009 | 517 |
| 2 | 2010 | 288 | |
| 3 | 2013 | 219 | |
| 4 | 2014 | 128 | |
| 5 | 2005 | 72 | |
| 6 | 2012 | 67 | |
| 7 | 2014 | 63 | |
| 8 | 2012 | 60 | |
| 9 | 2017 | 54 | |
| 10 | 2018 | 54 | |
| 11 | 2012 | 49 | |
| 12 | 2014 | 49 | |
| 13 | 2023 | 37 | |
| 14 | 2013 | 35 | |
| 15 | 2011 | 31 | |
| 16 | 2016 | 31 | |
| 17 | 2017 | 30 | |
| 18 | 2022 | 30 | |
| 19 | 2006 | 28 | |
| 20 | 2009 | 24 |
About Sunghoon Lee
Sunghoon Lee is a scholar working on Cancer Research, Molecular Biology, Genetics, Nature and Landscape Conservation and Plant Science, having authored 90 papers that have together received 2.4k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (6 papers), RNA modifications and cancer (4 papers), Epigenetics and DNA Methylation (4 papers), Agriculture, Soil, Plant Science (3 papers), Genomic variations and chromosomal abnormalities (3 papers), Ecology and Conservation Studies (3 papers), Genomics and Phylogenetic Studies (3 papers) and Fish Ecology and Management Studies (3 papers). The work is most often cited by research in Genetics (601 citations), Cancer Research (186 citations), Molecular Biology (904 citations), Plant Science (415 citations) and Archeology (95 citations). Sunghoon Lee has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Vassilios D. Papadopoulos, Leeyah Issop, Enrico Campioli, Malena B. Rone, Kaustuv Basu, Jinjiang Fan, Jeannie Mui, Jong Bhak, Daniel Benjamin Martinez-Arguelles and In Sock Jang. Their work appears in journals such as Nucleic Acids Research, PLoS ONE, BMC Genomics, Scientific Reports and Proceedings of the National Academy of Sciences.
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.