Byung‐Chul Lee

934 total citations
29 papers, 552 citations indexed

About

Byung‐Chul Lee is a scholar working on Molecular Biology, Hematology and Genetics. According to data from OpenAlex, Byung‐Chul Lee has authored 29 papers receiving a total of 552 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 5 papers in Hematology and 5 papers in Genetics. Recurrent topics in Byung‐Chul Lee's work include CRISPR and Genetic Engineering (6 papers), Protein Structure and Dynamics (5 papers) and Machine Learning in Bioinformatics (3 papers). Byung‐Chul Lee is often cited by papers focused on CRISPR and Genetic Engineering (6 papers), Protein Structure and Dynamics (5 papers) and Machine Learning in Bioinformatics (3 papers). Byung‐Chul Lee collaborates with scholars based in South Korea, United States and Canada. Byung‐Chul Lee's co-authors include Insung Kang, Kyung–Rok Yu, Dongsup Kim, Keunwan Park, Yoomin Ahn, So‐Young Lee, Seung Yong Hwang, Cynthia E. Dunbar, Seoung‐Hwan Lee and Seungwoo Lee and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Byung‐Chul Lee

27 papers receiving 542 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Byung‐Chul Lee South Korea 14 346 80 70 59 54 29 552
Т. В. Наседкина Russia 14 393 1.1× 78 1.0× 87 1.2× 75 1.3× 106 2.0× 103 644
Ursula Klingmueller Germany 3 299 0.9× 74 0.9× 78 1.1× 70 1.2× 29 0.5× 3 541
Liying Du China 9 359 1.0× 48 0.6× 30 0.4× 40 0.7× 31 0.6× 16 555
Jaehun Lee South Korea 9 362 1.0× 84 1.1× 66 0.9× 66 1.1× 59 1.1× 23 617
Yael S. Schiffenbauer Israel 10 170 0.5× 64 0.8× 55 0.8× 81 1.4× 53 1.0× 24 489
Cindy Meyer United States 21 1.1k 3.2× 118 1.5× 136 1.9× 98 1.7× 52 1.0× 41 1.4k
Yeong C. Kim United States 13 440 1.3× 31 0.4× 147 2.1× 83 1.4× 229 4.2× 24 666
M. Fairuz B. Jamaluddin Australia 16 314 0.9× 38 0.5× 105 1.5× 73 1.2× 46 0.9× 23 645
Mike W. Helms Germany 13 325 0.9× 48 0.6× 155 2.2× 131 2.2× 57 1.1× 21 591
Bárbara Cardinali Italy 15 191 0.6× 41 0.5× 56 0.8× 67 1.1× 18 0.3× 28 470

Countries citing papers authored by Byung‐Chul Lee

Since Specialization
Citations

This map shows the geographic impact of Byung‐Chul 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 Byung‐Chul Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Byung‐Chul Lee more than expected).

Fields of papers citing papers by Byung‐Chul Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Byung‐Chul 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 Byung‐Chul Lee. The network helps show where Byung‐Chul Lee may publish in the future.

Co-authorship network of co-authors of Byung‐Chul Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Byung‐Chul Lee. A scholar is included among the top collaborators of Byung‐Chul 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 Byung‐Chul Lee. Byung‐Chul 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.
Jeong, Gun‐Jae, Suk Ho Bhang, Jae Hoon Kim, et al.. (2025). 3D bioprinting technology for modeling vascular diseases and its application. Biofabrication. 17(2). 22014–22014. 4 indexed citations
2.
Kim, Dong Jun, et al.. (2024). Polygenic risk and rare variant gene clustering enhance cancer risk stratification for breast and prostate cancers. Communications Biology. 7(1). 1289–1289. 2 indexed citations
3.
Kim, Dong Jun, et al.. (2024). Assessing the utility of epigenetic clocks for health prediction in South Korean. SHILAP Revista de lepidopterología. 5. 1493406–1493406. 3 indexed citations
4.
Shin, Dong‐Yeop, Myung-Jin Kim, Dong Chan Kim, et al.. (2024). Elucidation of molecular basis of osteolytic bone lesions in advanced multiple myeloma. Haematologica. 109(7). 2207–2218. 1 indexed citations
5.
Lee, Byung‐Chul, Jae Han Park, Jiyoung Heo, et al.. (2024). Cigarette smoke impairs the hematopoietic supportive property of mesenchymal stem cells via the production of reactive oxygen species and NLRP3 activation. Stem Cell Research & Therapy. 15(1). 145–145. 4 indexed citations
6.
Lee, Byung‐Chul, Yifan Zhou, Erica Bresciani, et al.. (2022). A RUNX1-FPDMM rhesus macaque model reproduces the human phenotype and predicts challenges to curative gene therapies. Blood. 141(3). 231–237. 6 indexed citations
7.
Lim, Youngshin, et al.. (2022). Modified Taq DNA Polymerase for Allele-Specific Ultra-Sensitive Detection of Genetic Variants. Journal of Molecular Diagnostics. 24(11). 1128–1142. 5 indexed citations
8.
Kim, Jang‐Kyo, Jian Zhang, Seungwoo Hwang, et al.. (2022). Transcriptome-metabolome-wide association study (TMWAS) in rats revealed a potential carcinogenic effect of DEHP in thyroid associated with eicosanoids. Environmental Research. 214(Pt 2). 113805–113805. 7 indexed citations
9.
Lee, Byung‐Chul, et al.. (2021). Understanding and overcoming adverse consequences of genome editing on hematopoietic stem and progenitor cells. Molecular Therapy. 29(11). 3205–3218. 24 indexed citations
10.
Kim, Bo‐Eun, Soon Won Choi, Ji‐Hee Shin, et al.. (2018). Single-Factor SOX2 Mediates Direct Neural Reprogramming of Human Mesenchymal Stem Cells via Transfection of In Vitro Transcribed mRNA. Cell Transplantation. 27(7). 1154–1167. 22 indexed citations
11.
Lee, Byung‐Chul, et al.. (2012). Separation of Progressive Motile Sperm from Mouse Semen Using On-chip Chemotaxis. Analytical Sciences. 28(1). 27–32. 37 indexed citations
12.
Cho, Jin Seon, et al.. (2008). Paraneoplastic Limbic Encephalitis Associated with Testicular Seminoma. 6(2). 104–106.
13.
Cheung, K-John, Jesusa L. Rosales, Byung‐Chul Lee, Young‐Gil Jeong, & Ki‐Young Lee. (2008). Tyrosine hydroxylase expression and Cdk5 kinase activity in ataxic cerebellum. Molecular and Cellular Biochemistry. 318(1-2). 7–12. 2 indexed citations
14.
Lee, Byung‐Chul, Keunwan Park, & Dongsup Kim. (2008). Analysis of the residue–residue coevolution network and the functionally important residues in proteins. Proteins Structure Function and Bioinformatics. 72(3). 863–872. 44 indexed citations
15.
Lee, Byung‐Chul, et al.. (2007). A novel microfluidic biosensor based on an electrical detection system for alpha-fetoprotein. Biosensors and Bioelectronics. 23(9). 1319–1325. 48 indexed citations
16.
Lee, Byung‐Chul & Dongsup Kim. (2006). New Design of Neural Network Input and Output Vectors in the Protein Secondary Structure prediction. 1(3). 213–221. 2 indexed citations
17.
Lee, So‐Young, Byung‐Chul Lee, & Dongsup Kim. (2005). Prediction of protein secondary structure content using amino acid composition and evolutionary information. Proteins Structure Function and Bioinformatics. 62(4). 1107–1114. 36 indexed citations
18.
Han, Sangsoo, et al.. (2005). Fold recognition by combining profile-profile alignment and support vector machine. Computer applications in the biosciences. 21(11). 2667–2673. 27 indexed citations
19.
Rosales, Jesusa L., Byung‐Chul Lee, Mohammad Hossein Modarressi, et al.. (2004). Outer Dense Fibers Serve as a Functional Target for Cdk5·p35 in the Developing Sperm Tail. Journal of Biological Chemistry. 279(2). 1224–1232. 30 indexed citations
20.
Lee, Byung‐Chul, et al.. (2000). Clinical Study of Anaphylaxis on Bee-Venom Acupuncture. Journal of Acupuncture Research. 17(4). 149–159. 15 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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