Jooyoung Lee

1.7k total citations
22 papers, 895 citations indexed

About

Jooyoung Lee is a scholar working on Molecular Biology, Biomedical Engineering and Insect Science. According to data from OpenAlex, Jooyoung Lee has authored 22 papers receiving a total of 895 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 6 papers in Biomedical Engineering and 3 papers in Insect Science. Recurrent topics in Jooyoung Lee's work include CRISPR and Genetic Engineering (8 papers), Microbial Metabolic Engineering and Bioproduction (8 papers) and Biofuel production and bioconversion (6 papers). Jooyoung Lee is often cited by papers focused on CRISPR and Genetic Engineering (8 papers), Microbial Metabolic Engineering and Bioproduction (8 papers) and Biofuel production and bioconversion (6 papers). Jooyoung Lee collaborates with scholars based in United States, South Korea and Canada. Jooyoung Lee's co-authors include Erik J. Sontheimer, Heung-Shick Lee, Aamir Mir, Alireza Edraki, Younhee Kim, Alan R. Davidson, Noah Jakimo, Pranam Chatterjee, Emma Tysinger and Joseph M. Jacobson and has published in prestigious journals such as Nature Communications, Annual Review of Biochemistry and Nature Biotechnology.

In The Last Decade

Jooyoung Lee

20 papers receiving 875 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jooyoung Lee United States 16 801 140 100 92 85 22 895
Huina Dong China 14 445 0.6× 119 0.8× 35 0.3× 66 0.7× 25 0.3× 30 575
Khushal Khambhati India 11 296 0.4× 37 0.3× 23 0.2× 57 0.6× 13 0.2× 24 450
Chaobao Zhang China 8 401 0.5× 65 0.5× 21 0.2× 6 0.1× 56 0.7× 22 528
V. Edwin Hillary India 10 280 0.3× 52 0.4× 44 0.4× 3 0.0× 48 0.6× 22 469
Alexey V. Revtovich United States 10 270 0.3× 38 0.3× 5 0.1× 20 0.2× 38 0.4× 15 423
Navjot Singh United States 17 550 0.7× 301 2.1× 4 0.0× 150 1.6× 8 0.1× 31 819
Ming-Jie Liu China 8 259 0.3× 79 0.6× 25 0.3× 3 0.0× 17 0.2× 10 372
Alex C. Tucker United States 8 339 0.4× 89 0.6× 3 0.0× 61 0.7× 6 0.1× 9 437
Weimin Tian China 15 697 0.9× 31 0.2× 2 0.0× 47 0.5× 47 0.6× 49 891

Countries citing papers authored by Jooyoung Lee

Since Specialization
Citations

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

Fields of papers citing papers by Jooyoung Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jooyoung Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Jooyoung Lee. A scholar is included among the top collaborators of Jooyoung 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 Jooyoung Lee. Jooyoung 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.
Wang, Jiayi, Jennifer A. Broderick, Mina Zamani, et al.. (2025). Absolute quantification of mammalian microRNAs for therapeutic RNA cleavage and detargeting. RNA. 31(8). 1081–1090.
2.
Lee, Jooyoung, et al.. (2024). 3D Bioprinitng technologies for the enhancement and application of functional lung organoid models. International Journal of Bioprinting. 0(0). 4092–4092.
3.
Iyer, Sukanya, Aamir Mir, Joel Vega‐Badillo, et al.. (2022). Efficient Homology-Directed Repair with Circular Single-Stranded DNA Donors. The CRISPR Journal. 5(5). 685–701. 25 indexed citations
4.
Chatterjee, Pranam, Noah Jakimo, Jooyoung Lee, et al.. (2020). An engineered ScCas9 with broad PAM range and high specificity and activity. Nature Biotechnology. 38(10). 1154–1158. 93 indexed citations
5.
Chatterjee, Pranam, Jooyoung Lee, Emma Tysinger, et al.. (2020). A Cas9 with PAM recognition for adenine dinucleotides. Nature Communications. 11(1). 2474–2474. 76 indexed citations
6.
Chatterjee, Pranam, Noah Jakimo, Jooyoung Lee, et al.. (2020). Publisher Correction: An engineered ScCas9 with broad PAM range and high specificity and activity. Nature Biotechnology. 38(10). 1212–1212. 2 indexed citations
7.
Davidson, Alan R., Wangting Lu, Sabrina Y. Stanley, et al.. (2020). Anti-CRISPRs: Protein Inhibitors of CRISPR-Cas Systems. Annual Review of Biochemistry. 89(1). 309–332. 114 indexed citations
8.
Garcı́a, Bianca, Jooyoung Lee, Alireza Edraki, et al.. (2019). Anti-CRISPR AcrIIA5 Potently Inhibits All Cas9 Homologs Used for Genome Editing. Cell Reports. 29(7). 1739–1746.e5. 36 indexed citations
9.
Lee, Jooyoung, Haiwei Mou, Raed Ibraheim, et al.. (2019). Tissue-restricted genome editing in vivo specified by microRNA-repressible anti-CRISPR proteins. RNA. 25(11). 1421–1431. 72 indexed citations
10.
Lee, Jooyoung, Aamir Mir, Alireza Edraki, et al.. (2018). Potent Cas9 Inhibition in Bacterial and Human Cells by AcrIIC4 and AcrIIC5 Anti-CRISPR Proteins. mBio. 9(6). 79 indexed citations
11.
Stone, Nicholas P., Brendan J. Hilbert, Daniel Hidalgo, et al.. (2018). A Hyperthermophilic Phage Decoration Protein Suggests Common Evolutionary Origin with Herpesvirus Triplex Proteins and an Anti-CRISPR Protein. Structure. 26(7). 936–947.e3. 19 indexed citations
12.
Mir, Aamir, Alireza Edraki, Jooyoung Lee, & Erik J. Sontheimer. (2017). Type II-C CRISPR-Cas9 Biology, Mechanism, and Application. ACS Chemical Biology. 13(2). 357–365. 96 indexed citations
13.
Lee, Jooyoung, et al.. (2014). Artificial oxidative stress-tolerant Corynebacterium glutamicum. AMB Express. 4(1). 15–15. 17 indexed citations
14.
Lee, Jooyoung, Hyung Joon Kim, Eung‐Soo Kim, et al.. (2013). Regulatory interaction of the Corynebacterium glutamicum whc genes in oxidative stress responses. Journal of Biotechnology. 168(2). 149–154. 10 indexed citations
15.
Lee, Jooyoung, et al.. (2013). Adaptive evolution of Corynebacterium glutamicum resistant to oxidative stress and its global gene expression profiling. Biotechnology Letters. 35(5). 709–717. 47 indexed citations
16.
Suh, Kyung‐Do, et al.. (2013). Biofilm-forming ability of Staphylococcus aureus strains isolated from human skin. Journal of Dermatological Science. 71(2). 130–137. 19 indexed citations
17.
Lee, Jooyoung, Hyung Joon Kim, Eung‐Soo Kim, et al.. (2012). The role of Corynebacterium glutamicum spiA gene in whcA-mediated oxidative stress gene regulation. FEMS Microbiology Letters. 331(1). 63–69. 15 indexed citations
18.
Lee, Jooyoung, et al.. (2011). Corynebacterium glutamicum whcB, a stationary phase-specific regulatory gene. FEMS Microbiology Letters. 327(2). 103–109. 21 indexed citations
19.
Takahashi, Nobuyuki, Tsuyoshi Goto, Kahori Egawa, et al.. (2009). Bixin regulates mRNA expression involved in adipogenesis and enhances insulin sensitivity in 3T3-L1 adipocytes through PPARγ activation. Biochemical and Biophysical Research Communications. 390(4). 1372–1376. 80 indexed citations
20.
Lee, Jooyoung, et al.. (2007). Characteristics of methionine production by an engineered Corynebacterium glutamicum strain. Metabolic Engineering. 9(4). 327–336. 68 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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