Jookyung Lee

1.8k total citations · 1 hit paper
16 papers, 1.5k citations indexed

About

Jookyung Lee is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Jookyung Lee has authored 16 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 13 papers in Genetics and 4 papers in Ecology. Recurrent topics in Jookyung Lee's work include RNA and protein synthesis mechanisms (15 papers), Bacterial Genetics and Biotechnology (13 papers) and Bacteriophages and microbial interactions (4 papers). Jookyung Lee is often cited by papers focused on RNA and protein synthesis mechanisms (15 papers), Bacterial Genetics and Biotechnology (13 papers) and Bacteriophages and microbial interactions (4 papers). Jookyung Lee collaborates with scholars based in United States, Japan and Russia. Jookyung Lee's co-authors include Sergei Borukhov, Oleg Laptenko, Shun‐ichi Sekine, Marina N. Vassylyeva, Shigeyuki Yokoyama, Dmitry G. Vassylyev, Konstantin Severinov, Karen Adelman, Yulia Yuzenkova and Nikolay Zenkin and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Jookyung Lee

15 papers receiving 1.5k citations

Hit Papers

Crystal structure of a bacterial RNA polymerase holoenzym... 2002 2026 2010 2018 2002 200 400 600
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. Crystal structure of a bacterial RNA polymerase holoenzyme at 2.6 Å resolution
    2002 631 citations Dmitry G. Vassylyev, Shun‐ichi Sekine et al. Nature profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jookyung Lee United States 13 1.3k 858 408 104 88 16 1.5k
M.J. Tarry United Kingdom 15 2.4k 1.8× 843 1.0× 328 0.8× 174 1.7× 120 1.4× 20 2.6k
Stephen G. Addinall United Kingdom 21 1.6k 1.2× 1.3k 1.5× 765 1.9× 53 0.5× 127 1.4× 23 2.1k
Roy David Magnuson United States 11 876 0.7× 767 0.9× 470 1.2× 48 0.5× 106 1.2× 14 1.3k
Debabrata RayChaudhuri United States 8 720 0.6× 626 0.7× 336 0.8× 64 0.6× 72 0.8× 8 1.1k
Georgiy A. Belogurov Finland 22 1.3k 1.0× 628 0.7× 279 0.7× 68 0.7× 130 1.5× 39 1.5k
Anna La Teana Italy 21 1.5k 1.2× 807 0.9× 329 0.8× 38 0.4× 142 1.6× 50 1.7k
Anna Perederina United States 18 1.5k 1.2× 837 1.0× 353 0.9× 55 0.5× 101 1.1× 31 1.8k
Tanja M. Gruber United States 12 1.1k 0.9× 825 1.0× 461 1.1× 40 0.4× 113 1.3× 14 1.4k
Barend Kraal Netherlands 25 1.4k 1.1× 540 0.6× 392 1.0× 280 2.7× 79 0.9× 70 1.9k
Shane C. Dillon Ireland 11 1.4k 1.1× 605 0.7× 293 0.7× 50 0.5× 81 0.9× 15 1.7k

Countries citing papers authored by Jookyung Lee

Since Specialization
Citations

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

Fields of papers citing papers by Jookyung Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jookyung Lee

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

All Works

16 of 16 papers shown
1.
2.
Lerner, Eitan, Sangyoon Chung, Benjamin L. Allen, et al.. (2016). Backtracked and paused transcription initiation intermediate of Escherichia coli RNA polymerase. Proceedings of the National Academy of Sciences. 113(43). E6562–E6571. 59 indexed citations
3.
Lee, Jookyung & Sergei Borukhov. (2016). Bacterial RNA Polymerase-DNA Interaction—The Driving Force of Gene Expression and the Target for Drug Action. Frontiers in Molecular Biosciences. 3. 73–73. 38 indexed citations
4.
Shiver, Anthony L., et al.. (2015). DksA regulates RNA polymerase in Escherichia coli through a network of interactions in the secondary channel that includes Sequence Insertion 1. Proceedings of the National Academy of Sciences. 112(50). E6862–71. 40 indexed citations
5.
Stepanova, Ekaterina, Jookyung Lee, Ekaterina Semenova, et al.. (2007). Analysis of Promoter Targets forEscherichia coliTranscription Elongation Factor GreA In Vivo and In Vitro. Journal of Bacteriology. 189(24). 8772–8785. 59 indexed citations
6.
Laptenko, Oleg, Jookyung Lee, Marina Starodubtseva, et al.. (2006). pH‐dependent conformational switch activates the inhibitor of transcription elongation. The EMBO Journal. 25(10). 2131–2141. 53 indexed citations
7.
Borukhov, Sergei & Jookyung Lee. (2005). RNA polymerase structure and function at lac operon. Comptes Rendus Biologies. 328(6). 576–587. 12 indexed citations
8.
Borukhov, Sergei, Jookyung Lee, & Oleg Laptenko. (2005). Bacterial transcription elongation factors: new insights into molecular mechanism of action. Molecular Microbiology. 55(5). 1315–1324. 119 indexed citations
9.
Tuske, Steven, Stefan G. Sarafianos, Xinyue Wang, et al.. (2005). Inhibition of Bacterial RNA Polymerase by Streptolydigin: Stabilization of a Straight-Bridge-Helix Active-Center Conformation. Cell. 122(4). 541–552. 164 indexed citations
10.
Adelman, Karen, Yulia Yuzenkova, A. La Porta, et al.. (2004). Molecular Mechanism of Transcription Inhibition by Peptide Antibiotic Microcin J25. Molecular Cell. 14(6). 753–762. 141 indexed citations
11.
Vassylyeva, Marina N., Jookyung Lee, Shun‐ichi Sekine, et al.. (2002). Purification, crystallization and initial crystallographic analysis of RNA polymerase holoenzyme fromThermus thermophilus. Acta Crystallographica Section D Biological Crystallography. 58(9). 1497–1500. 44 indexed citations
12.
Vassylyev, Dmitry G., Shun‐ichi Sekine, Oleg Laptenko, et al.. (2002). Crystal structure of a bacterial RNA polymerase holoenzyme at 2.6 Å resolution. Nature. 417(6890). 712–719. 631 indexed citations breakdown →
13.
Borukhov, Sergei, Oleg Laptenko, & Jookyung Lee. (2001). Escherichia coli Transcript Cleavage Factors GreA and GreB: Functions and Mechanisms of Action. Methods in enzymology on CD-ROM/Methods in enzymology. 64–76. 19 indexed citations
14.
Lee, Jookyung, et al.. (2000). The Functional Role of Basic Patch, a Structural Element ofEscherichia coli Transcript Cleavage Factors GreA and GreB. Journal of Biological Chemistry. 275(17). 12789–12798. 27 indexed citations
15.
Kashlev, Mikhail, et al.. (1990). Blocking of the Initiation-to-Elongation Transition by a Transdominant RNA Polymerase Mutation. Science. 248(4958). 1006–1009. 63 indexed citations
16.

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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