Seungyeoun Lee

1.2k total citations
60 papers, 751 citations indexed

About

Seungyeoun Lee is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Seungyeoun Lee has authored 60 papers receiving a total of 751 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 12 papers in Oncology and 12 papers in Genetics. Recurrent topics in Seungyeoun Lee's work include Gene expression and cancer classification (21 papers), Bioinformatics and Genomic Networks (15 papers) and Genetic Associations and Epidemiology (9 papers). Seungyeoun Lee is often cited by papers focused on Gene expression and cancer classification (21 papers), Bioinformatics and Genomic Networks (15 papers) and Genetic Associations and Epidemiology (9 papers). Seungyeoun Lee collaborates with scholars based in South Korea, United States and Japan. Seungyeoun Lee's co-authors include Taesung Park, Jin‐Young Jang, Yong‐Sung Lee, Robert A. Wolfe, Young Kee Shin, Min‐Seok Kwon, Sangjo Han, Jung Mi Oh, Sun‐Whe Kim and Wooil Kwon and has published in prestigious journals such as Bioinformatics, PLoS ONE and Annals of Neurology.

In The Last Decade

Seungyeoun Lee

56 papers receiving 734 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Seungyeoun Lee South Korea 16 360 132 103 87 74 60 751
Zaixiang Tang China 17 374 1.0× 98 0.7× 140 1.4× 145 1.7× 115 1.6× 92 933
Xinyan Zhang United States 19 441 1.2× 104 0.8× 63 0.6× 60 0.7× 175 2.4× 57 992
Prabhakar Chalise United States 18 423 1.2× 129 1.0× 109 1.1× 116 1.3× 89 1.2× 68 958
Jim Vaught United States 18 420 1.2× 104 0.8× 149 1.4× 336 3.9× 88 1.2× 38 1.3k
Jianping Sun China 18 444 1.2× 87 0.7× 156 1.5× 138 1.6× 80 1.1× 53 901
Stylianos Serghiou United States 13 175 0.5× 57 0.4× 63 0.6× 138 1.6× 45 0.6× 23 1.0k
Sheri D. Schully United States 23 294 0.8× 193 1.5× 427 4.1× 221 2.5× 84 1.1× 55 1.4k
Anne Pariser United States 17 215 0.6× 49 0.4× 229 2.2× 38 0.4× 56 0.8× 35 782
Zachary R. McCaw United States 14 593 1.6× 65 0.5× 186 1.8× 34 0.4× 70 0.9× 49 1.1k
David Tritchler Canada 12 279 0.8× 71 0.5× 106 1.0× 29 0.3× 36 0.5× 27 649

Countries citing papers authored by Seungyeoun Lee

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Seungyeoun Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Seungyeoun Lee. A scholar is included among the top collaborators of Seungyeoun Lee based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Seungyeoun Lee. Seungyeoun Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Park, Taesung, et al.. (2022). Comparison of survival prediction models for pancreatic cancer: Cox model versus machine learning models. Genomics & Informatics. 20(2). e23–e23. 9 indexed citations
3.
Lee, Sungyoung, et al.. (2022). Kernel-based hierarchical structural component models for pathway analysis. Bioinformatics. 38(11). 3078–3086. 2 indexed citations
4.
Oh, Moon Young, Hongbeom Kim, Seungyeoun Lee, et al.. (2022). Long-Term Oncologic Outcomes for T2 Gallbladder Cancer According to the Type of Surgery Performed and the Optimal Timing for Sequential Extended Cholecystectomy. Journal of Gastrointestinal Surgery. 26(8). 1705–1712.
5.
Kim, Yoonjung, Seungyeoun Lee, Bumjo Oh, et al.. (2022). Machine learning models to predict the maximum severity of COVID-19 based on initial hospitalization record. Frontiers in Public Health. 10. 1007205–1007205. 9 indexed citations
6.
Oh, Bumjo, Hyejin Lee, Seungyeoun Lee, et al.. (2021). Prediction Models for the Clinical Severity of Patients With COVID-19 in Korea: Retrospective Multicenter Cohort Study. Journal of Medical Internet Research. 23(4). e25852–e25852. 14 indexed citations
7.
8.
Chung, Hye Won, et al.. (2021). Effects of government policies on the spread of COVID-19 worldwide. Scientific Reports. 11(1). 20495–20495. 23 indexed citations
9.
Park, Mira, et al.. (2020). Gene‐Gene Interaction Analysis for the Survival Phenotype Based on the Kaplan‐Meier Median Estimate. BioMed Research International. 2020(1). 5282345–5282345. 9 indexed citations
10.
Kim, Yongkang, Sungyoung Lee, Sungkyoung Choi, et al.. (2019). HisCoM-PAGE: Hierarchical Structural Component Models for Pathway Analysis of Gene Expression Data. Genes. 10(11). 931–931. 5 indexed citations
11.
Pham, Thu‐Huyen, Yesol Bak, Jae‐Wook Oh, et al.. (2019). Inhibition of IL-13 and IL-13Rα2 Expression by IL-32θ in Human Monocytic Cells Requires PKCδ and STAT3 Association. International Journal of Molecular Sciences. 20(8). 1949–1949. 10 indexed citations
12.
Lee, Joowon, Seungyeoun Lee, Jin‐Young Jang, & Taesung Park. (2018). Exact association test for small size sequencing data. BMC Medical Genomics. 11(S2). 30–30. 3 indexed citations
13.
Gim, Jungsoo, Yongkang Kim, Hyunsoo Kim, et al.. (2018). Analysis of significant protein abundance from multiple reaction-monitoring data. BMC Systems Biology. 12(S9). 123–123.
14.
Lee, Jung‐Sun, Young Hoon Joo, Seunghee Won, et al.. (2017). The Association of the 2nd to 4th Digit Ratio with the Age of Onset and Metabolic Factors in Korean Patients with Schizophrenia. 24(3). 142–148. 2 indexed citations
15.
16.
Kim, Yongkang, Joon Yoon, Minseok Seo, et al.. (2016). A Model-Based Joint Identification of Differentially Expressed Genes and Phenotype-Associated Genes. PLoS ONE. 11(3). e0149086–e0149086. 1 indexed citations
17.
Kim, Seong-Kyun, et al.. (2013). Sex-Related Differences of EEG Coherences between Patients with Schizophrenia and Healthy Controls. 20(4). 166–178. 1 indexed citations
18.
Oh, Ensel, Yoon‐La Choi, Taesung Park, et al.. (2011). A prognostic model for lymph node-negative breast cancer patients based on the integration of proliferation and immunity. Breast Cancer Research and Treatment. 132(2). 499–509. 15 indexed citations
19.
Lee, Seungyeoun, et al.. (2011). A comparative study on gene-set analysis methods for assessing differential expression associated with the survival phenotype. BMC Bioinformatics. 12(1). 377–377. 11 indexed citations
20.
Lee, Seungyeoun & Robert A. Wolfe. (1998). A Simple Test for Independent Censoring under the Proportional Hazards Model. Biometrics. 54(3). 1176–1176. 18 indexed citations

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.

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