Seungyeoun Lee
- Statistics and Probability top 5%
- Statistical Methods and Inference 6
- Statistical Methods in Clinical Trials 4
-
- Cancer Genomics and Diagnostics 4
-
- Gene expression and cancer classification 21
- Bioinformatics and Genomic Networks 15
-
- Pancreatic and Hepatic Oncology Research 8
-
- Genetic Associations and Epidemiology 9
- Genetic Mapping and Diversity in Plants and Animals 5
- Co-authors
- Taesung ParkJin‐Young JangYong‐Sung LeeRobert A. WolfeYoung Kee ShinMin‐Seok KwonSangjo HanSun‐Whe Kim
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Seungyeoun Lee
56 papers receiving 734 citations
Peers
Comparison fields: 5 of 127
- Statistics and Probability 72
- Cancer Research 87
- Molecular Biology 360
- Oncology 132
- Health Informatics 6
Countries citing papers authored by Seungyeoun Lee
This map shows the geographic impact of Seungyeoun 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 Seungyeoun Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seungyeoun Lee more than expected).
Fields of papers citing papers by Seungyeoun Lee
This network shows the impact of papers produced by Seungyeoun 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 Seungyeoun Lee. The network helps show where Seungyeoun Lee may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Seungyeoun 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 | 7 | |
| 3 | 2022 | 2 | |
| 4 | 2022 | 9 | |
| 5 | 2022 | 0 | |
| 6 | 2022 | 9 | |
| 7 | 2021 | 14 | |
| 8 | 2021 | 38 | |
| 9 | 2021 | 1 | |
| 10 | 2020 | 9 | |
| 11 | 2019 | 5 | |
| 12 | 2019 | 10 | |
| 13 | 2019 | 48 | |
| 14 | 2018 | 0 | |
| 15 | 2018 | 3 | |
| 16 | 2017 | 2 | |
| 17 | 2017 | 14 | |
| 18 | 2016 | 6 | |
| 19 | Sex-Related Differences of EEG Coherences between Patients with Schizophrenia and Healthy Controls | 2013 | 1 |
| 20 | 1996 | 3 |
About Seungyeoun Lee
Seungyeoun Lee is a scholar working on Statistics and Probability, Cancer Research and Molecular Biology, having authored 60 papers that have together received 751 indexed citations. Recurring topics across this work include Gene expression and cancer classification (21 papers), Bioinformatics and Genomic Networks (15 papers), Genetic Associations and Epidemiology (9 papers), Pancreatic and Hepatic Oncology Research (8 papers), Statistical Methods and Inference (6 papers), Genetic Mapping and Diversity in Plants and Animals (5 papers), Cancer Genomics and Diagnostics (4 papers) and Statistical Methods in Clinical Trials (4 papers). The work is most often cited by research in Statistics and Probability (72 citations), Cancer Research (87 citations) and Molecular Biology (360 citations). Seungyeoun Lee has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Taesung Park, Jin‐Young Jang, Yong‐Sung Lee, Robert A. Wolfe, Young Kee Shin, Min‐Seok Kwon, Sangjo Han, Sun‐Whe Kim, Wenbao Yu and Mee Joo Kang. Their work appears in journals such as Bioinformatics, BMC Bioinformatics, Scientific Reports, BioData Mining and BioMed Research International.
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.