Dae‐Kyun Ro

7.5k total citations · 2 hit papers
60 papers, 5.1k citations indexed

About

Dae‐Kyun Ro is a scholar working on Molecular Biology, Pharmacology and Cancer Research. According to data from OpenAlex, Dae‐Kyun Ro has authored 60 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Molecular Biology, 21 papers in Pharmacology and 13 papers in Cancer Research. Recurrent topics in Dae‐Kyun Ro's work include Plant biochemistry and biosynthesis (48 papers), Microbial Natural Products and Biosynthesis (21 papers) and Sesquiterpenes and Asteraceae Studies (13 papers). Dae‐Kyun Ro is often cited by papers focused on Plant biochemistry and biosynthesis (48 papers), Microbial Natural Products and Biosynthesis (21 papers) and Sesquiterpenes and Asteraceae Studies (13 papers). Dae‐Kyun Ro collaborates with scholars based in Canada, South Korea and United States. Dae‐Kyun Ro's co-authors include Jay D. Keasling, Yoichiro Shiba, James Kirby, Michelle C. Y. Chang, Mario Ouellet, Karl J. Fisher, Timothy S. Ham, Richmond Sarpong, Sydnor T. Withers and Karyn L. Newman and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Dae‐Kyun Ro

59 papers receiving 4.9k citations

Hit Papers

Production of the antimalarial drug precursor artemisinic... 2006 2026 2012 2019 2006 2021 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dae‐Kyun Ro Canada 29 4.4k 1.3k 702 578 514 60 5.1k
Patrick S. Covello Canada 34 3.9k 0.9× 557 0.4× 1.2k 1.7× 296 0.5× 555 1.1× 68 4.8k
Peter E. Brodelius Sweden 45 3.9k 0.9× 606 0.5× 1.6k 2.3× 1.3k 2.3× 436 0.8× 117 4.9k
Mario Ouellet United States 13 3.2k 0.7× 697 0.5× 290 0.4× 314 0.5× 293 0.6× 16 3.6k
Marie‐Thérèse Martin France 29 1.4k 0.3× 523 0.4× 658 0.9× 579 1.0× 337 0.7× 134 3.0k
Sydnor T. Withers United States 8 3.5k 0.8× 1.0k 0.8× 134 0.2× 394 0.7× 349 0.7× 9 3.8k
Joe Chappell United States 32 2.6k 0.6× 822 0.6× 537 0.8× 333 0.6× 218 0.4× 54 3.1k
Djaja D. Soejarto United States 38 2.0k 0.5× 582 0.4× 1.3k 1.8× 216 0.4× 519 1.0× 128 4.0k
Jacob Pollier Belgium 35 3.3k 0.8× 550 0.4× 1.4k 2.0× 241 0.4× 450 0.9× 61 4.2k
Andrea Porzel Germany 38 2.8k 0.6× 813 0.6× 2.8k 4.0× 292 0.5× 536 1.0× 233 5.9k
Darwin W. Reed Canada 30 2.7k 0.6× 473 0.4× 1.0k 1.5× 291 0.5× 511 1.0× 76 3.6k

Countries citing papers authored by Dae‐Kyun Ro

Since Specialization
Citations

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

Fields of papers citing papers by Dae‐Kyun Ro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dae‐Kyun Ro. 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 Dae‐Kyun Ro. The network helps show where Dae‐Kyun Ro may publish in the future.

Co-authorship network of co-authors of Dae‐Kyun Ro

This figure shows the co-authorship network connecting the top 25 collaborators of Dae‐Kyun Ro. A scholar is included among the top collaborators of Dae‐Kyun Ro 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 Dae‐Kyun Ro. Dae‐Kyun Ro 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.
Köllner, Tobias G., Ulschan Bathe, Nathalie D. Lackus, et al.. (2025). Biosynthesis of biologically active terpenoids in the mint family (Lamiaceae). Natural Product Reports. 42(11). 1887–1908. 1 indexed citations
2.
Wu, Yingmei, Xueqing Chen, Fuhua Hao, et al.. (2024). Biosynthesis of bridged tricyclic sesquiterpenes in Inula lineariifolia. The Plant Journal. 120(2). 658–673.
3.
Ness, Rob W., et al.. (2024). A chromosome level reference genome of Diviner’s sage (Salvia divinorum) provides insight into salvinorin A biosynthesis. BMC Plant Biology. 24(1). 914–914. 4 indexed citations
4.
Li, Changfu, Yuanjun Li, J Wang, et al.. (2024). An independent biosynthetic route to frame a xanthanolide‐type sesquiterpene lactone in Asteraceae. The Plant Journal. 121(2). e17199–e17199. 3 indexed citations
5.
Smith, Jessica, et al.. (2024). Reconstructing curcumin biosynthesis in yeast reveals the implication of caffeoyl-shikimate esterase in phenylpropanoid metabolic flux. Metabolic Engineering. 82. 286–296. 4 indexed citations
6.
8.
Ro, Dae‐Kyun, et al.. (2022). Improved protein glycosylation enabled heterologous biosynthesis of monoterpenoid indole alkaloids and their unnatural derivatives in yeast. Metabolic Engineering Communications. 16. e00215–e00215. 9 indexed citations
9.
Xiong, Xingyao, Junbo Gou, Qinggang Liao, et al.. (2021). The Taxus genome provides insights into paclitaxel biosynthesis. Nature Plants. 7(8). 1026–1036. 155 indexed citations breakdown →
10.
Lee, Ji Young, et al.. (2021). The yeast platform engineered for synthetic gRNA-landing pads enables multiple gene integrations by a single gRNA/Cas9 system. Metabolic Engineering. 64. 111–121. 29 indexed citations
11.
Ro, Dae‐Kyun, et al.. (2020). Synthetic Derivatives of (+)-epi-α-Bisabolol Are Formed by Mammalian Cytochromes P450 Expressed in a Yeast Reconstituted Pathway. ACS Synthetic Biology. 9(2). 368–380. 8 indexed citations
12.
Wungsintaweekul, Juraithip, Sang‐Hoon Kim, Jeong‐Han Kim, et al.. (2019). 4-Coumarate:coenzyme A ligase isoform 3 from Piper nigrum (Pn4CL3) catalyzes the CoA thioester formation of 3,4-methylenedioxycinnamic and piperic acids. Biochemical Journal. 477(1). 61–74. 16 indexed citations
13.
Nguyen, Trinh‐Don, Moonhyuk Kwon, Soo-Un Kim, Conrad Fischer, & Dae‐Kyun Ro. (2019). Catalytic Plasticity of Germacrene A Oxidase Underlies Sesquiterpene Lactone Diversification. PLANT PHYSIOLOGY. 181(3). 945–960. 23 indexed citations
14.
15.
Kwon, Moonhyuk, et al.. (2017). Molecular cloning and functional characterization of three terpene synthases from unripe fruit of black pepper (Piper nigrum). Archives of Biochemistry and Biophysics. 638. 35–40. 14 indexed citations
16.
Kwon, Moonhyuk, Eun‐Soo Kwon, & Dae‐Kyun Ro. (2016). cis-Prenyltransferase and Polymer Analysis from a Natural Rubber Perspective. Methods in enzymology on CD-ROM/Methods in enzymology. 576. 121–145. 25 indexed citations
17.
Nguyen, Trinh‐Don, et al.. (2016). Discovery of germacrene A synthases in Barnadesia spinosa: The first committed step in sesquiterpene lactone biosynthesis in the basal member of the Asteraceae. Biochemical and Biophysical Research Communications. 479(4). 622–627. 27 indexed citations
18.
Nguyen, Trinh‐Don, Gillian MacNevin, & Dae‐Kyun Ro. (2012). De Novo Synthesis of High-Value Plant Sesquiterpenoids in Yeast. Methods in enzymology on CD-ROM/Methods in enzymology. 517. 261–278. 38 indexed citations
19.
Shiba, Yoichiro, et al.. (2006). Engineering of the pyruvate dehydrogenase bypass in Saccharomyces cerevisiae for high-level production of isoprenoids. Metabolic Engineering. 9(2). 160–168. 268 indexed citations
20.
Ro, Dae‐Kyun & Carl J. Douglas. (2004). Reconstitution of the Entry Point of Plant Phenylpropanoid Metabolism in Yeast (Saccharomyces cerevisiae). Journal of Biological Chemistry. 279(4). 2600–2607. 94 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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