Sunwon Lee
Impact in
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- Bioinformatics and Genomic Networks
- Biomedical Text Mining and Ontologies
- Gene expression and cancer classification
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- Computational Drug Discovery Methods
Papers in
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- Biomedical Text Mining and Ontologies 8
- Bioinformatics and Genomic Networks 6
- Gene expression and cancer classification 1
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- Information Retrieval and Search Behavior 4
- Co-authors
- Jaewoo Kang (22 shared papers)Kyubum Lee (13 shared papers)Aik Choon Tan (6 shared papers)Minji Jeon (6 shared papers)Jimin Shin (1 shared paper)Karen A. Ryall (1 shared paper)Minjae Yoo (1 shared paper)Jihye Kim (1 shared paper)
- Journals
- PLoS ONE (4 papers)Bioinformatics (3 papers)BMC Bioinformatics (2 papers)BMC Medical Informatics and Decision Making (2 papers)Biology Direct (1 paper)
- Partner nations
- South KoreaUnited StatesPhilippines
In The Last Decade
Sunwon Lee
22 papers receiving 830 citations
Sunwon Lee's Hit Papers
Peers
Comparison fields: 5 of 78
- Molecular Biology 345
- Computational Theory and Mathematics 80
- Cancer Research 45
- Health Informatics 8
- Neurology 42
Countries citing papers authored by Sunwon Lee
This map shows the geographic impact of Sunwon 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 Sunwon Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sunwon Lee more than expected).
Fields of papers citing papers by Sunwon Lee
This network shows the impact of papers produced by Sunwon 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 Sunwon Lee. The network helps show where Sunwon Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Sunwon 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | DSigDB: drug signatures database for gene set analysis Hit paper breakdown → | 2015 | 495 |
| 2 | 2016 | 76 | |
| 3 | 2010 | 44 | |
| 4 | 2016 | 35 | |
| 5 | 2018 | 35 | |
| 6 | 2015 | 33 | |
| 7 | 2016 | 30 | |
| 8 | 2017 | 21 | |
| 9 | 2016 | 14 | |
| 10 | 2012 | 11 | |
| 11 | 2012 | 9 | |
| 12 | 2013 | 9 | |
| 13 | 2012 | 7 | |
| 14 | 2016 | 7 | |
| 15 | 2018 | 6 | |
| 16 | 2013 | 5 | |
| 17 | 2012 | 4 | |
| 18 | 2012 | 3 | |
| 19 | 2016 | 2 | |
| 20 | 2011 | 1 |
About Sunwon Lee
Sunwon Lee is a scholar working on Molecular Biology, Information Systems, Computational Theory and Mathematics, Cancer Research and Neurology, having authored 22 papers that have together received 849 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (8 papers), Bioinformatics and Genomic Networks (6 papers), Information Retrieval and Search Behavior (4 papers), Computational Drug Discovery Methods (2 papers), EEG and Brain-Computer Interfaces (1 paper), Gene expression and cancer classification (1 paper), Face recognition and analysis (1 paper) and Hepatitis B Virus Studies (1 paper). The work is most often cited by research in Molecular Biology (345 citations), Computational Theory and Mathematics (80 citations), Cancer Research (45 citations), Health Informatics (8 citations) and Neurology (42 citations). Sunwon Lee has collaborated with scholars based in South Korea, United States and Philippines. Frequent co-authors include Jaewoo Kang, Kyubum Lee, Aik Choon Tan, Minji Jeon, Jimin Shin, Karen A. Ryall, Minjae Yoo, Jihye Kim, Sunkyu Kim and Seongsoon Kim. Their work appears in journals such as PLoS ONE, Bioinformatics, BMC Bioinformatics, BMC Medical Informatics and Decision Making and Biology Direct.
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.