Sunwon Lee

1.2k total citations · 1 hit paper
22 papers, 710 citations indexed

About

Sunwon Lee is a scholar working on Molecular Biology, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Sunwon Lee has authored 22 papers receiving a total of 710 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 6 papers in Artificial Intelligence and 5 papers in Computational Theory and Mathematics. Recurrent topics in Sunwon Lee's work include Bioinformatics and Genomic Networks (10 papers), Biomedical Text Mining and Ontologies (8 papers) and Computational Drug Discovery Methods (5 papers). Sunwon Lee is often cited by papers focused on Bioinformatics and Genomic Networks (10 papers), Biomedical Text Mining and Ontologies (8 papers) and Computational Drug Discovery Methods (5 papers). Sunwon Lee collaborates with scholars based in South Korea, United States and Denmark. Sunwon Lee's co-authors include Jaewoo Kang, Kyubum Lee, Aik Choon Tan, Minji Jeon, Jihye Kim, Minjae Yoo, Jimin Shin, Karen A. Ryall, Sunkyu Kim and Seongsoon Kim and has published in prestigious journals such as Bioinformatics, PLoS ONE and BMC Bioinformatics.

In The Last Decade

Sunwon Lee

22 papers receiving 699 citations

Hit Papers

DSigDB: drug signatures database for gene set analysis 2015 2026 2018 2022 2015 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. DSigDB: drug signatures database for gene set analysis
    2015 389 citations Minjae Yoo, Jimin Shin et al. Bioinformatics profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sunwon Lee South Korea 10 401 97 86 83 68 22 710
Jesse Paquette United States 11 350 0.9× 58 0.6× 147 1.7× 63 0.8× 57 0.8× 13 719
Kyubum Lee United States 16 612 1.5× 257 2.6× 116 1.3× 122 1.5× 90 1.3× 32 1.1k
Peipei Ping United States 10 445 1.1× 66 0.7× 64 0.7× 34 0.4× 46 0.7× 23 759
Md. Shahjaman Bangladesh 14 367 0.9× 31 0.3× 84 1.0× 63 0.8× 74 1.1× 26 585
Harikrishna Paik India 10 451 1.1× 46 0.5× 172 2.0× 132 1.6× 95 1.4× 37 788
Minjae Yoo United States 11 324 0.8× 24 0.2× 97 1.1× 96 1.2× 135 2.0× 14 634
Mikhail Korzinkin Russia 11 304 0.8× 33 0.3× 87 1.0× 89 1.1× 74 1.1× 12 618
Connor P. Oates United States 9 251 0.6× 61 0.6× 49 0.6× 39 0.5× 64 0.9× 27 571
Anders Riutta United States 4 583 1.5× 20 0.2× 133 1.5× 78 0.9× 79 1.2× 6 842

Countries citing papers authored by Sunwon Lee

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Sunwon Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Sunwon Lee. A scholar is included among the top collaborators of Sunwon 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 Sunwon Lee. Sunwon 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.
Lee, Kyubum, Yonghwa Choi, Sunkyu Kim, et al.. (2018). Deep learning of mutation-gene-drug relations from the literature. BMC Bioinformatics. 19(1). 21–21. 32 indexed citations
2.
Kim, Tae Hyung, Eun‐Ju Lee, Ji Hye Choi, et al.. (2018). Identification of novel susceptibility loci associated with hepatitis B surface antigen seroclearance in chronic hepatitis B. PLoS ONE. 13(7). e0199094–e0199094. 6 indexed citations
3.
4.
Oh, Minsik, Sung-Min Rhee, Heejoon Chae, et al.. (2017). Literature-based condition-specific miRNA-mRNA target prediction. PLoS ONE. 12(3). e0174999–e0174999. 20 indexed citations
5.
Hur, Benjamin, Sangsoo Lim, Heejoon Chae, et al.. (2016). CLIP-GENE: a web service of the condition specific context-laid integrative analysis for gene prioritization in mouse TF knockout experiments. Biology Direct. 11(1). 57–57. 1 indexed citations
6.
Lee, Sunwon, Donghyeon Kim, Kyubum Lee, et al.. (2016). BEST: Next-Generation Biomedical Entity Search Tool for Knowledge Discovery from Biomedical Literature. PLoS ONE. 11(10). e0164680–e0164680. 62 indexed citations
7.
8.
Lee, Jusang, Kyuri Jo, Sunwon Lee, Jaewoo Kang, & Sun Kim. (2016). Prioritizing biological pathways by recognizing context in time-series gene expression data. BMC Bioinformatics. 17(S17). 477–477. 7 indexed citations
9.
Seo, Woo‐Keun, Jaewoo Kang, Minji Jeon, et al.. (2015). Feasibility of Using a Mobile Application for the Monitoring and Management of Stroke-Associated Risk Factors. Journal of Clinical Neurology. 11(2). 142–142. 30 indexed citations
10.
Yoo, Minjae, Jimin Shin, Jihye Kim, et al.. (2015). DSigDB: drug signatures database for gene set analysis. Bioinformatics. 31(18). 3069–3071. 389 indexed citations breakdown →
11.
Lee, Junkyu, Seongsoon Kim, Sunwon Lee, Kyubum Lee, & Jaewoo Kang. (2013). On the efficacy of per-relation basis performance evaluation for PPI extraction and a high-precision rule-based approach. BMC Medical Informatics and Decision Making. 13(S1). S7–S7. 8 indexed citations
12.
Jeon, Minji, Sunwon Lee, Kyubum Lee, Aik Choon Tan, & Jaewoo Kang. (2013). BEReX: Biomedical Entity-Relationship eXplorer. Bioinformatics. 30(1). 135–136. 5 indexed citations
13.
Choi, Jaehoon, Donghyeon Kim, Seongsoon Kim, et al.. (2012). BOSS: context-enhanced search for biomedical objects. BMC Medical Informatics and Decision Making. 12(S1). S7–S7. 9 indexed citations
14.
Lee, Junkyu, Seongsoon Kim, Sunwon Lee, Kyubum Lee, & Jaewoo Kang. (2012). High precision rule based PPI extraction and per-pair basis performance evaluation. 69–76. 4 indexed citations
15.
Shin, Hanjun, et al.. (2012). Extracting Signals from Noisy Single-Channel EEG Stream for Ubiquitous Healthcare Applications. 13(1). 85–94. 2 indexed citations
16.
Choi, Jaehoon, Donghyeon Kim, Seongsoon Kim, et al.. (2012). CONSENTO. 481–482. 1 indexed citations
17.
Choi, Jaehoon, Donghyeon Kim, Seongsoon Kim, et al.. (2012). CONSENTO. 1935–1939. 5 indexed citations
18.
Lee, Kyubum, Sunwon Lee, Minji Jeon, Jaehoon Choi, & Jaewoo Kang. (2012). Drug-drug interaction analysis using heterogeneous biological information network. 1–5. 9 indexed citations
19.
Choi, Jaehoon, Donghyeon Kim, Seongsoon Kim, et al.. (2011). BOSS. 19–26. 1 indexed citations
20.
Chopra, Pankaj, et al.. (2010). Improving Cancer Classification Accuracy Using Gene Pairs. PLoS ONE. 5(12). e14305–e14305. 42 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Jesse Paquette Breakdown of academic impact, for papers by Kyubum Lee Breakdown of academic impact, for papers by Peipei Ping Breakdown of academic impact, for papers by Md. Shahjaman Breakdown of academic impact, for papers by Harikrishna Paik Breakdown of academic impact, for papers by Minjae Yoo Breakdown of academic impact, for papers by Mikhail Korzinkin Breakdown of academic impact, for papers by Connor P. Oates Breakdown of academic impact, for papers by Anders Riutta
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