Young‐Joon Ko

432 total citations
15 papers, 321 citations indexed

About

Young‐Joon Ko is a scholar working on Molecular Biology, Cell Biology and Computational Theory and Mathematics. According to data from OpenAlex, Young‐Joon Ko has authored 15 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Cell Biology and 3 papers in Computational Theory and Mathematics. Recurrent topics in Young‐Joon Ko's work include Cellular transport and secretion (4 papers), Computational Drug Discovery Methods (3 papers) and Endoplasmic Reticulum Stress and Disease (3 papers). Young‐Joon Ko is often cited by papers focused on Cellular transport and secretion (4 papers), Computational Drug Discovery Methods (3 papers) and Endoplasmic Reticulum Stress and Disease (3 papers). Young‐Joon Ko collaborates with scholars based in South Korea and United States. Young‐Joon Ko's co-authors include Sun Chang Kim, Sohee Son, Ju Young Lee, Byung‐Kwan Cho, Cheol‐Ho Pan, Keunwan Park, Youngsoo Jun, Miriam Lee, Prasannavenkatesh Durai and Sangsoo Kim 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

Young‐Joon Ko

15 papers receiving 317 citations

Peers

Young‐Joon Ko

PHARM

BIOTE

Chang‐Sook Jeong South Korea

Yuying Huang China

Matthew Jessulat Canada

Hyeon-Su Ro South Korea

Hye Ri Kim South Korea

Daniel Sachs United States

Kota Kera Japan

Huiseon Yang South Korea

Louis Tung Faat Lai Hong Kong

Jucan Gao China

Chang‐Sook Jeong South Korea

Young‐Joon Ko

247 ×1.0

37 ×0.6

32 ×0.7

PHARM

24 ×0.6

53 ×2.3

BIOTE

Citations per year, relative to Young‐Joon Ko Young‐Joon Ko (= 1×) peers Chang‐Sook Jeong

Countries citing papers authored by Young‐Joon Ko

Since Specialization

Citations

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

Fields of papers citing papers by Young‐Joon Ko

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Young‐Joon Ko. 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 Young‐Joon Ko. The network helps show where Young‐Joon Ko may publish in the future.

Co-authorship network of co-authors of Young‐Joon Ko

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

All Works

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15 of 15 papers shown

Oh, So‐Young, et al.. (2023). Regulatory transcription factor (CooA)-driven carbon monoxide partial pressure sensing whole-cell biosensor. Heliyon. 9(6). e17391–e17391. 3 indexed citations

Son, Sohee, et al.. (2022). Metabolite trafficking enables membrane-impermeable-terpene secretion by yeast. Nature Communications. 13(1). 2605–2605. 20 indexed citations

Ko, Young‐Joon, Sangsoo Kim, Cheol‐Ho Pan, & Keunwan Park. (2021). Identification of Functional Microbial Modules Through Network-Based Analysis of Meta-Microbial Features Using Matrix Factorization. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 19(5). 2851–2862. 2 indexed citations

Durai, Prasannavenkatesh, Young‐Joon Ko, Jin‐Chul Kim, Cheol‐Ho Pan, & Keunwan Park. (2021). Identification of Tyrosinase Inhibitors and Their Structure-Activity Relationships via Evolutionary Chemical Binding Similarity and Structure-Based Methods. Molecules. 26(3). 566–566. 15 indexed citations

Durai, Prasannavenkatesh, Young‐Joon Ko, Cheol‐Ho Pan, & Keunwan Park. (2020). Evolutionary chemical binding similarity approach integrated with 3D-QSAR method for effective virtual screening. BMC Bioinformatics. 21(1). 309–309. 12 indexed citations

Ko, Young‐Joon, et al.. (2020). Fluorescence versus radioactivity for assaying antifungal compound inhibited yeast 1,3-β-glucan synthase activity. Journal of Food and Drug Analysis. 13(2). 1 indexed citations

Son, Sohee, et al.. (2019). Tailoring the Saccharomyces cerevisiae endoplasmic reticulum for functional assembly of terpene synthesis pathway. Metabolic Engineering. 56. 50–59. 141 indexed citations

Ko, Young‐Joon, et al.. (2019). Buforin-1 blocks neuronal SNARE-mediated membrane fusion by inhibiting SNARE complex assembly. Biochemical and Biophysical Research Communications. 514(1). 105–111. 1 indexed citations

Park, Keunwan, Young‐Joon Ko, Prasannavenkatesh Durai, & Cheol‐Ho Pan. (2019). Machine learning-based chemical binding similarity using evolutionary relationships of target genes. Nucleic Acids Research. 47(20). e128–e128. 16 indexed citations

10.

Jeong, Hanbin, Jumi Park, Miriam Lee, et al.. (2017). Mechanistic insight into the nucleus–vacuole junction based on the Vac8p–Nvj1p crystal structure. Proceedings of the National Academy of Sciences. 114(23). E4539–E4548. 32 indexed citations

11.

Ko, Young‐Joon & Sangsoo Kim. (2016). Analysis of Nuclear Mitochondrial DNA Segments of Nine Plant Species: Size, Distribution, and Insertion Loci. Genomics & Informatics. 14(3). 90–90. 11 indexed citations

12.

Ko, Young‐Joon, Eun Chan Yang, Jae‐Hak Lee, et al.. (2015). Characterization of cetacean Numt and its application into cetacean phylogeny. Genes & Genomics. 37(12). 1061–1071. 7 indexed citations

13.

Gujrati, Vipul, Miriam Lee, Young‐Joon Ko, et al.. (2015). Bioengineered yeast-derived vacuoles with enhanced tissue-penetrating ability for targeted cancer therapy. Proceedings of the National Academy of Sciences. 113(3). 710–715. 34 indexed citations

14.

Lee, Miriam, Young‐Joon Ko, Hyung‐Wook Kim, et al.. (2015). SNAREs support atlastin-mediated homotypic ER fusion in Saccharomyces cerevisiae. The Journal of Cell Biology. 210(3). 451–470. 16 indexed citations

15.

Ko, Young‐Joon, Miriam Lee, KyeongJin Kang, Woo Keun Song, & Youngsoo Jun. (2014). In vitro assay using engineered yeast vacuoles for neuronal SNARE-mediated membrane fusion. Proceedings of the National Academy of Sciences. 111(21). 7677–7682. 10 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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