Sangseon Lee
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- Computational Drug Discovery Methods 12
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- Bioinformatics and Genomic Networks 16
- Gene expression and cancer classification 13
- Epigenetics and DNA Methylation 6
- Metabolomics and Mass Spectrometry Studies 4
- RNA modifications and cancer 4
- Machine Learning in Bioinformatics 3
- Gene Regulatory Network Analysis 3
Sangseon Lee
35 papers receiving 358 citations
Peers
Comparison fields: 5 of 91
- Computational Theory and Mathematics 93
- Cancer Research 54
- Molecular Biology 235
- Health Informatics 3
- Artificial Intelligence 60
Countries citing papers authored by Sangseon Lee
This map shows the geographic impact of Sangseon 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 Sangseon Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sangseon Lee more than expected).
Fields of papers citing papers by Sangseon Lee
This network shows the impact of papers produced by Sangseon 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 Sangseon Lee. The network helps show where Sangseon Lee may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sangseon 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 3 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 9 | |
| 7 | 2023 | 11 | |
| 8 | 2022 | 25 | |
| 9 | 2022 | 2 | |
| 10 | 2021 | 1 | |
| 11 | 2021 | 2 | |
| 12 | 2021 | 2 | |
| 13 | 2020 | 10 | |
| 14 | 2020 | 13 | |
| 15 | 2019 | 6 | |
| 16 | 2019 | 7 | |
| 17 | 2019 | 26 | |
| 18 | 2018 | 1 | |
| 19 | 2018 | 3 | |
| 20 | 2018 | 1 |
About Sangseon Lee
Sangseon Lee is a scholar working on Computational Theory and Mathematics, Molecular Biology and Cancer Research, having authored 40 papers that have together received 363 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (16 papers), Gene expression and cancer classification (13 papers), Computational Drug Discovery Methods (12 papers), Epigenetics and DNA Methylation (6 papers), Metabolomics and Mass Spectrometry Studies (4 papers), RNA modifications and cancer (4 papers), Machine Learning in Bioinformatics (3 papers) and Gene Regulatory Network Analysis (3 papers). The work is most often cited by research in Computational Theory and Mathematics (93 citations), Cancer Research (54 citations) and Molecular Biology (235 citations). Sangseon Lee has collaborated with scholars based in South Korea, United States and Puerto Rico. Frequent co-authors include Sun Kim, Sangsoo Lim, Taeheon Lee, Inuk Jung, Dong Won Kang, Heejoon Chae, Youngjun Park, Benjamin Hur, Jae Bum Kim and Sung-Min Rhee. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Bioinformatics.
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.