Sunghoon Lee
Impact in
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- Cancer Genomics and Diagnostics
- Cancer-related molecular mechanisms research
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- Mitochondrial Function and Pathology
- Bioinformatics and Genomic Networks
- Protein Structure and Dynamics
- RNA modifications and cancer
Papers in
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- RNA modifications and cancer 4
- Epigenetics and DNA Methylation 3
- Genetics 8
- Genomic variations and chromosomal abnormalities 3
- Co-authors
- Vassilios Papadopoulos (6 shared papers)Leeyah Issop (3 shared papers)Jong Bhak (13 shared papers)Enrico Campioli (2 shared papers)Kaustuv Basu (1 shared paper)Malena B. Rone (1 shared paper)Jinjiang Fan (1 shared paper)Jeannie Mui (1 shared paper)
- Journals
- PLoS ONE (3 papers)Nucleic Acids Research (3 papers)Scientific Reports (2 papers)Fish & Shellfish Immunology (2 papers)BMC Genomics (2 papers)
- Partner nations
- South KoreaUnited StatesCanada
In The Last Decade
Sunghoon Lee
76 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 138
- Cancer Research 132
- Molecular Biology 561
- Equine 12
- Health, Toxicology and Mutagenesis 98
- Periodontics 23
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 83 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 119 | |
| 2 | 2005 | 71 | |
| 3 | 2012 | 65 | |
| 4 | 2012 | 58 | |
| 5 | 2017 | 52 | |
| 6 | 2018 | 52 | |
| 7 | 2012 | 48 | |
| 8 | 2013 | 45 | |
| 9 | 2014 | 45 | |
| 10 | 2013 | 34 | |
| 11 | 2016 | 29 | |
| 12 | 2017 | 29 | |
| 13 | 2011 | 29 | |
| 14 | 2006 | 25 | |
| 15 | 2006 | 24 | |
| 16 | 2009 | 24 | |
| 17 | 2008 | 23 | |
| 18 | 2017 | 22 | |
| 19 | 2020 | 21 | |
| 20 | 2023 | 19 |
About Sunghoon Lee
Sunghoon Lee is a scholar working on Molecular Biology, Genetics, Cancer Research, Plant Science and Surgery, having authored 83 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (5 papers), RNA modifications and cancer (4 papers), Fish Ecology and Management Studies (3 papers), Epigenetics and DNA Methylation (3 papers), Ecology and Conservation Studies (3 papers), Genomic variations and chromosomal abnormalities (3 papers), Prenatal Screening and Diagnostics (3 papers) and Agriculture, Soil, Plant Science (3 papers). The work is most often cited by research in Cancer Research (132 citations), Molecular Biology (561 citations), Equine (12 citations), Health, Toxicology and Mutagenesis (98 citations) and Periodontics (23 citations). Sunghoon Lee has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Vassilios Papadopoulos, Leeyah Issop, Jong Bhak, Enrico Campioli, Kaustuv Basu, Malena B. Rone, Jinjiang Fan, Jeannie Mui, Daniel B. Martinez–Arguelles and Jong Bhak. Their work appears in journals such as PLoS ONE, Nucleic Acids Research, Scientific Reports, Fish & Shellfish Immunology and BMC Genomics.
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.