Kyu Jun Lee

1.1k total citations · 2 hit papers
6 papers, 808 citations indexed

About

Kyu Jun Lee is a scholar working on Molecular Biology, Genetics and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Kyu Jun Lee has authored 6 papers receiving a total of 808 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Genetics and 2 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Kyu Jun Lee's work include CRISPR and Genetic Engineering (4 papers), Virus-based gene therapy research (2 papers) and Retinal Development and Disorders (2 papers). Kyu Jun Lee is often cited by papers focused on CRISPR and Genetic Engineering (4 papers), Virus-based gene therapy research (2 papers) and Retinal Development and Disorders (2 papers). Kyu Jun Lee collaborates with scholars based in South Korea. Kyu Jun Lee's co-authors include Seokjoong Kim, Dong Woo Song, Daesik Kim, Jeong Hun Kim, Sung Wook Park, Jin Hyoung Kim, Min Hee Jung, Eunji Kim, Taeyoung Koo and Jin‐Soo Kim and has published in prestigious journals such as Nature Communications, Science Advances and Journal of Magnetism and Magnetic Materials.

In The Last Decade

Kyu Jun Lee

6 papers receiving 799 citations

Hit Papers

align trajectories

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.

In vivo genome editing with a small Cas9 orthologue derived from Campylobacter jejuni

2017 531 citations Eunji Kim, Taeyoung Koo et al. Nature Communications profile →
In vivo delivery of CRISPR-Cas9 using lipid nanoparticles enables antithrombin gene editing for sustainable hemophilia A and B therapy

2022 130 citations M. Kim, Michaela Jeong et al. Science Advances profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kyu Jun Lee South Korea	6	718	202	77	59	56	6	808
Huhu Xin China	13	659 0.9×	129 0.6×	33 0.4×	27 0.5×	12 0.2×	23	959
Jason Potter United States	9	984 1.4×	297 1.5×	81 1.1×	44 0.7×	3 0.1×	12	1.1k
Enrique Lin-Shiao United States	12	1.3k 1.8×	95 0.5×	13 0.2×	62 1.1×	39 0.7×	12	1.4k
Andrew Kennedy United States	6	962 1.3×	238 1.2×	74 1.0×	29 0.5×		8	1.0k
Charles D. Yeh United States	8	641 0.9×	183 0.9×	96 1.2×	67 1.1×		9	703
Euihwan Jeong South Korea	7	814 1.1×	168 0.8×	95 1.2×	95 1.6×		11	874
Ignazio Maggio Netherlands	12	943 1.3×	354 1.8×	104 1.4×	79 1.3×		12	983
Gue‐Ho Hwang South Korea	14	597 0.8×	173 0.9×	63 0.8×	69 1.2×		23	631
Jordan Jarjour United States	14	929 1.3×	326 1.6×	67 0.9×	89 1.5×		21	1.1k

Countries citing papers authored by Kyu Jun Lee

Since Specialization

Citations

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

Fields of papers citing papers by Kyu Jun Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kyu Jun 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 Kyu Jun Lee. The network helps show where Kyu Jun Lee may publish in the future.

Co-authorship network of co-authors of Kyu Jun Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Kyu Jun Lee. A scholar is included among the top collaborators of Kyu Jun 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 Kyu Jun Lee. Kyu Jun Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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6 of 6 papers shown

1.

Kim, M., Michaela Jeong, Yeji Lee, et al.. (2022). In vivo delivery of CRISPR-Cas9 using lipid nanoparticles enables antithrombin gene editing for sustainable hemophilia A and B therapy. Science Advances. 8(3). eabj6901–eabj6901. 130 indexed citations breakdown →

2.

Lee, Jeong Hyeon, Kyu Jun Lee, Hye-Rim Lee, et al.. (2022). Genome editing-mediated knock-in of therapeutic genes ameliorates the disease phenotype in a model of hemophilia. Molecular Therapy — Nucleic Acids. 29. 551–562. 12 indexed citations

3.

Jo, Dong Hyun, Dong Woo Song, Chang Sik Cho, et al.. (2019). CRISPR-Cas9–mediated therapeutic editing of Rpe65 ameliorates the disease phenotypes in a mouse model of Leber congenital amaurosis. Science Advances. 5(10). eaax1210–eaax1210. 77 indexed citations

4.

Kim, Eunji, Taeyoung Koo, Sung Wook Park, et al.. (2017). In vivo genome editing with a small Cas9 orthologue derived from Campylobacter jejuni. Nature Communications. 8(1). 14500–14500. 531 indexed citations breakdown →

5.

Song, Yoo Jang, et al.. (2011). Superconducting Properties of a Stoichiometric FeSe Compound and Two Anomalous Features in the Normal State. Journal of the Korean Physical Society. 59(2). 312–316. 35 indexed citations

6.

Lee, Kyu Jun, et al.. (2010). Magnetocaloric effect in La(Fe0.89Si0.11)13 irradiated by protons. Journal of Magnetism and Magnetic Materials. 323(8). 1094–1097. 23 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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