Sunwon Lee
Impact in
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- Bioinformatics and Genomic Networks
- Biomedical Text Mining and Ontologies
- Gene expression and cancer classification
- Machine Learning in Bioinformatics
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- Cancer-related molecular mechanisms research
Papers in ⓘ
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- Computational Drug Discovery Methods 5
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- Bioinformatics and Genomic Networks 10
- Biomedical Text Mining and Ontologies 8
- Gene expression and cancer classification 4
- Machine Learning in Bioinformatics 2
- Genetics, Bioinformatics, and Biomedical Research 2
- Co-authors
- Jaewoo Kang (22 shared papers)Kyubum Lee (13 shared papers)Aik Choon Tan (6 shared papers)Minji Jeon (6 shared papers)Jihye Kim (1 shared paper)Jimin Shin (1 shared paper)Minjae Yoo (1 shared paper)Karen A. Ryall (1 shared paper)
- Journals
- PLoS ONE (4 papers)Bioinformatics (3 papers)BMC Bioinformatics (2 papers)BMC Medical Informatics and Decision Making (2 papers)Methods (1 paper)
- Partner nations
- South KoreaUnited StatesDenmark
In The Last Decade
Sunwon Lee
22 papers receiving 699 citations
Hit Papers
Peers
Comparison fields: 5 of 97
- Molecular Biology 401
- Cancer Research 86
- Computational Theory and Mathematics 83
- Biological Psychiatry 11
- Neurology 51
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 | 389 |
| 2 | 2016 | 62 | |
| 3 | 2010 | 42 | |
| 4 | 2018 | 32 | |
| 5 | 2016 | 32 | |
| 6 | 2015 | 30 | |
| 7 | 2016 | 29 | |
| 8 | 2017 | 20 | |
| 9 | 2016 | 15 | |
| 10 | 2012 | 9 | |
| 11 | 2012 | 9 | |
| 12 | 2013 | 8 | |
| 13 | 2016 | 7 | |
| 14 | 2018 | 6 | |
| 15 | 2012 | 5 | |
| 16 | 2013 | 5 | |
| 17 | 2012 | 4 | |
| 18 | 2012 | 2 | |
| 19 | 2018 | 1 | |
| 20 | 2016 | 1 |
About Sunwon Lee
Sunwon Lee is a scholar working on Computational Theory and Mathematics, Molecular Biology, Otorhinolaryngology, Artificial Intelligence and Rehabilitation, having authored 22 papers that have together received 710 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (10 papers), Biomedical Text Mining and Ontologies (8 papers), Computational Drug Discovery Methods (5 papers), Gene expression and cancer classification (4 papers), Topic Modeling (4 papers), Semantic Web and Ontologies (3 papers), Machine Learning in Bioinformatics (2 papers) and Genetics, Bioinformatics, and Biomedical Research (2 papers). The work is most often cited by research in Molecular Biology (401 citations), Cancer Research (86 citations), Computational Theory and Mathematics (83 citations), Biological Psychiatry (11 citations) and Neurology (51 citations). Sunwon Lee has collaborated with scholars based in South Korea, United States and Denmark. Frequent co-authors include Jaewoo Kang, Kyubum Lee, Aik Choon Tan, Minji Jeon, Jihye Kim, Jimin Shin, Minjae Yoo, Karen A. Ryall, Sunkyu Kim and Seongsoon Kim. Their work appears in journals such as PLoS ONE, Bioinformatics, BMC Bioinformatics, BMC Medical Informatics and Decision Making and 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.