Byung‐Kwan Cho

9.9k total citations · 1 hit paper
222 papers, 7.1k citations indexed

About

Byung‐Kwan Cho is a scholar working on Molecular Biology, Genetics and Biomedical Engineering. According to data from OpenAlex, Byung‐Kwan Cho has authored 222 papers receiving a total of 7.1k indexed citations (citations by other indexed papers that have themselves been cited), including 185 papers in Molecular Biology, 44 papers in Genetics and 44 papers in Biomedical Engineering. Recurrent topics in Byung‐Kwan Cho's work include RNA and protein synthesis mechanisms (56 papers), Genomics and Phylogenetic Studies (52 papers) and Microbial Metabolic Engineering and Bioproduction (49 papers). Byung‐Kwan Cho is often cited by papers focused on RNA and protein synthesis mechanisms (56 papers), Genomics and Phylogenetic Studies (52 papers) and Microbial Metabolic Engineering and Bioproduction (49 papers). Byung‐Kwan Cho collaborates with scholars based in South Korea, United States and Denmark. Byung‐Kwan Cho's co-authors include Bernhard Ø. Palsson, Suhyung Cho, Sun Chang Kim, Eric M. Knight, Jongoh Shin, Byung‐Gee Kim, Jung-Kul Lee, Yoseb Song, Soonkyu Hwang and Namil Lee and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Byung‐Kwan Cho

212 papers receiving 7.0k citations

Hit Papers

1 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.

Modifications of mRNA vaccine structural elements for improving mRNA stability and translation efficiency

2021 167 citations Sun Chang Kim, Woo‐Ri Shin et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Byung‐Kwan Cho South Korea	49	5.1k	1.4k	1.0k	754	674	222	7.1k
Sun Chang Kim South Korea	54	6.4k 1.3×	943 0.7×	890 0.9×	483 0.6×	618 0.9×	167	9.4k
Yanfeng Liu China	43	5.0k 1.0×	1.3k 0.9×	1.1k 1.0×	308 0.4×	378 0.6×	335	7.1k
Sheng Yang China	50	5.7k 1.1×	1.2k 0.8×	3.0k 2.8×	509 0.7×	305 0.5×	237	8.4k
Brian F. Pfleger United States	41	4.2k 0.8×	700 0.5×	2.0k 1.9×	284 0.4×	467 0.7×	110	5.9k
Svein Valla Norway	43	2.7k 0.5×	937 0.7×	583 0.6×	463 0.6×	642 1.0×	114	4.9k
Alexander F. Yakunin Canada	45	5.4k 1.1×	884 0.6×	759 0.7×	147 0.2×	892 1.3×	147	7.4k
Yu Wang China	47	4.5k 0.9×	669 0.5×	1.4k 1.4×	207 0.3×	263 0.4×	349	6.8k
Pablo I. Nikel Denmark	50	5.7k 1.1×	1.9k 1.4×	1.8k 1.7×	201 0.3×	990 1.5×	168	7.6k
Ivan Mijakovic̀ Denmark	53	4.5k 0.9×	1.6k 1.1×	1.9k 1.8×	255 0.3×	1.1k 1.7×	201	9.2k
Eduardo Dı́az Spain	44	3.5k 0.7×	1.1k 0.8×	891 0.9×	188 0.2×	1.1k 1.7×	118	5.8k

Countries citing papers authored by Byung‐Kwan Cho

Since Specialization

Citations

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

Fields of papers citing papers by Byung‐Kwan Cho

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Byung‐Kwan Cho

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Kim, Gahyeon, et al.. (2025). Engineered CRISPR-Cas9 for Streptomyces sp. genome editing to improve specialized metabolite production. Nature Communications. 16(1). 874–874. 8 indexed citations

Kim, Kangsan, Donghui Choe, Sun Chang Kim, et al.. (2025). Transcriptional regulatory networks of the human gut symbiont Bacteroides thetaiotaomicron are uncovered using machine learning. Nucleic Acids Research. 53(20).

Choe, Donghui, Eun‐Ju Lee, Kangsan Kim, et al.. (2025). Rapid identification of key antibiotic resistance genes in E. coli using high-resolution genome-scale CRISPRi screening. iScience. 28(5). 112435–112435.

Kim, Ji Hun, et al.. (2023). Inhibition of tau phosphorylation and Aβ accumulation by S. cerevisiae-derived vacuoles in LPS-induced SH-SY5Y cells. Journal of Biotechnology. 376. 45–52. 2 indexed citations

Shin, Woo‐Ri, Ji Hun Kim, Soo Youn Lee, et al.. (2023). Increase CO ₂ recycling of Escherichia coli containing CBB genes by enhancing solubility of multiple expressed proteins from an operon through temperature reduction. Microbiology Spectrum. 11(6). e0256023–e0256023. 4 indexed citations

Yi, Jeong Sang, et al.. (2023). Transcriptome profiles of Streptomyces clavuligerus strains producing different titers of clavulanic acid. Scientific Data. 10(1). 804–804. 1 indexed citations

Shin, Jongoh, Chang‐Hee Whang, Wonsik Jung, et al.. (2023). Bilirubin Nanomedicine Rescues Intestinal Barrier Destruction and Restores Mucosal Immunity in Colitis. ACS Nano. 17(11). 10996–11013. 51 indexed citations

Millat, Thomas, James P. Gilbert, Yoseb Song, et al.. (2022). A genome-scale metabolic model of Cupriavidus necator H16 integrated with TraDIS and transcriptomic data reveals metabolic insights for biotechnological applications. PLoS Computational Biology. 18(5). e1010106–e1010106. 31 indexed citations

Cui, Chang-Hao, et al.. (2022). Novel Split Intein-Mediated Enzymatic Channeling Accelerates the Multimeric Bioconversion Pathway of Ginsenoside. ACS Synthetic Biology. 11(10). 3296–3304. 3 indexed citations

10.

Cho, Suhyung, Suhyung Cho, So-Ra Ko, et al.. (2021). Elucidation of the Algicidal Mechanism of the Marine Bacterium Pseudoruegeria sp. M32A2M Against the Harmful Alga Alexandrium catenella Based on Time-Course Transcriptome Analysis. Frontiers in Marine Science. 8. 7 indexed citations

11.

Gao, Ye, Hyun Gyu Lim, Richard Szubin, et al.. (2021). Unraveling the functions of uncharacterized transcription factors in Escherichia coli using ChIP-exo. Nucleic Acids Research. 49(17). 9696–9710. 29 indexed citations

12.

Kalia, Vipin Chandra, Sanjay K. S. Patel, Byung‐Kwan Cho, Thomas K. Wood, & Jung-Kul Lee. (2021). Emerging applications of bacteria as antitumor agents. Seminars in Cancer Biology. 86. 1014–1025. 56 indexed citations

13.

Shin, Woo‐Ri, Hyun‐Ju Um, Young‐Chang Kim, et al.. (2020). Biochemical characterization and molecular docking analysis of novel esterases from Sphingobium chungbukense DJ77. International Journal of Biological Macromolecules. 168. 403–411. 13 indexed citations

14.

Kim, Woori, Soonkyu Hwang, Namil Lee, et al.. (2020). Transcriptome and translatome profiles of Streptomyces species in different growth phases. Scientific Data. 7(1). 138–138. 17 indexed citations

15.

Jeong, Yujin, Hookeun Lee, Hyung-Kyoon Choi, et al.. (2020). Current Status and Future Strategies to Increase Secondary Metabolite Production from Cyanobacteria. Microorganisms. 8(12). 1849–1849. 25 indexed citations

16.

Lee, Namil, Soonkyu Hwang, Yong‐Jae Lee, et al.. (2019). Synthetic Biology Tools for Novel Secondary Metabolite Discovery in Streptomyces. Journal of Microbiology and Biotechnology. 29(5). 667–686. 66 indexed citations

17.

Zahra, Zahra, Hye‐Youn Kim, Hwanhui Lee, et al.. (2018). Phycobiliproteins Production Enhancement and Lipidomic Alteration by Titanium Dioxide Nanoparticles in Synechocystis sp. PCC 6803 Culture. Journal of Agricultural and Food Chemistry. 66(32). 8522–8529. 8 indexed citations

18.

Gao, Ye, James T. Yurkovich, Sang Woo Seo, et al.. (2018). Systematic discovery of uncharacterized transcription factors in Escherichia coli K-12 MG1655. Nucleic Acids Research. 46(20). 10682–10696. 68 indexed citations

19.

Brunk, Elizabeth, Roger L. Chang, Jing Xia, et al.. (2018). Characterizing posttranslational modifications in prokaryotic metabolism using a multiscale workflow. Proceedings of the National Academy of Sciences. 115(43). 11096–11101. 36 indexed citations

20.

Kim, Juhan, et al.. (2006). Screening and Purification of a Novel Transaminase Catalyzing the Transamination of Aryl β-Amino Acid from Mesorhizobium sp. LUK. Journal of Microbiology and Biotechnology. 16(11). 1832–1836. 13 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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