Seungyeoun Lee

1.2k citations
60 papers · 751 indexed · h-index 16
Topics
Gene expression and cancer classification (21 papers)Bioinformatics and Genomic Networks (15 papers)Genetic Associations and Epidemiology (9 papers)

In The Last Decade

Seungyeoun Lee

56 papers receiving 734 citations

Peers

Seungyeoun Lee
Comparison fields: 5 of 127
  • Molecular Biology 360
  • Oncology 132
  • Genetics 103
  • Cancer Research 87
  • Pulmonary and Respiratory Medicine 74
Replace Zaixiang Tang with:
Zaixiang Tang China
Jyothi Subramanian India
Jiayi Tong United States
Zachary R. McCaw United States
Giuliana Cortese Italy
Sheri D. Schully United States
Jennifer Gill United States
Xinyan Zhang United States
Shareen A. Iqbal United States
Jeffrey R. Sachs United States
Seungyeoun Lee relative to Zaixiang Tang China Zaixiang Tang's profile →
Citations per field
00.5×1.5×
Zaixiang Tang · 1×
Citations per year

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
#WorkIndexed citations
1 0
2 7
3 2
4 9
5 0
6 9
7 14
8 38
9 1
10 9
11 5
12 10
13 48
14 0
15 3
16 2
17 14
18 6
19
Sex-Related Differences of EEG Coherences between Patients with Schizophrenia and Healthy Controls
1
20 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) and Genetic Associations and Epidemiology (9 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, PLoS ONE and Annals of Neurology.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026