Young‐Cheon Kim

1.0k total citations
35 papers, 738 citations indexed

About

Young‐Cheon Kim is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Young‐Cheon Kim has authored 35 papers receiving a total of 738 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 20 papers in Plant Science and 4 papers in Genetics. Recurrent topics in Young‐Cheon Kim's work include Plant Molecular Biology Research (10 papers), Plant Gene Expression Analysis (6 papers) and Plant Reproductive Biology (6 papers). Young‐Cheon Kim is often cited by papers focused on Plant Molecular Biology Research (10 papers), Plant Gene Expression Analysis (6 papers) and Plant Reproductive Biology (6 papers). Young‐Cheon Kim collaborates with scholars based in South Korea, Japan and Sweden. Young‐Cheon Kim's co-authors include Masatoshi Nakajima, Isomaro Yamaguchi, Masatomo Kobayashi, Makoto Matsuoka, Satoshi Iuchi, Hiroyuki Suzuki, Miyako Ueguchi‐Tanaka, Tatsuya Maeda, Seunghyun Park and Asako Shimada and has published in prestigious journals such as The Plant Journal, Frontiers in Plant Science and Theoretical and Applied Genetics.

In The Last Decade

Young‐Cheon Kim

30 papers receiving 703 citations

Peers

Young‐Cheon Kim

GENET

EEBS

Changxing Li China

Sebastin Raveendar South Korea

Xianghui Yang China

Aldo Almeida Denmark

Lidiia Samarina Russia

Satya Swathi Nadakuduti United States

Habibollah Samizadeh Lahiji Iran

Ruhong Ming China

Jishan Lin China

Myung-Ho Lim South Korea

Changxing Li China

Young‐Cheon Kim

524 ×0.8

472 ×1.0

54 ×0.8

GENET

31 ×0.9

23 ×0.7

EEBS

Citations per year, relative to Young‐Cheon Kim Young‐Cheon Kim (= 1×) peers Changxing Li

Countries citing papers authored by Young‐Cheon Kim

Since Specialization

Citations

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

Fields of papers citing papers by Young‐Cheon Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Young‐Cheon Kim

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

All Works

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20 of 20 papers shown

Kim, Young‐Cheon, et al.. (2025). Overexpression of BcPIF4-1 affects flowering time and hypocotyl length by regulating AtFT and AtIAA29 expression, respectively, in Arabidopsis thaliana. Planta. 262(4). 97–97.

Kim, Young‐Cheon, et al.. (2024). Establishment of an Agrobacterium-mediated genetic transformation and CRISPR/Cas9-mediated mutagenesis of haploid inducer genes in Pak-choi plants (Brassica rapa ssp. chinensis). Plant Biotechnology Reports. 18(2). 263–273. 1 indexed citations

Kim, Young‐Cheon, et al.. (2023). Regulation of Flowering Time and Other Developmental Plasticities by 3’ Splicing Factor-Mediated Alternative Splicing in Arabidopsis thaliana. Plants. 12(19). 3508–3508.

Jeong, Sangyun, et al.. (2023). Analysis of soyasaponin content and biosynthesis-related gene expression in young pea (Pisum sativum L.) sprouts. Journal of Plant Biotechnology. 50.

Kim, Young‐Cheon, et al.. (2023). Transcriptome analysis of drought response in a domestic wheat cultivar (Triticum aestivum L. cv. Keumkang). Plant Biotechnology Reports. 17(5). 715–724.

Lee, Jeonghwan, et al.. (2023). Overexpression of lettuce TEOSINTE BRANCHED1/CYCLOIDEA/PCF (TCP) transcription factor genes (LsTCP13 and LsTCP17) promotes flowering time through upregulation of AtFT and AtAP1 in Arabidopsis. Plant Biotechnology Reports. 17(4). 509–517. 2 indexed citations

Kim, Young‐Cheon. (2023). Learning Inequality in South Korean elementary students’ shadow education: A qualitative case study. 9(4). 25–62. 1 indexed citations

Jeong, Yu Jeong, et al.. (2022). Reduced Expression of PRX2/ATPRX1, PRX8, PRX35, and PRX73 Affects Cell Elongation, Vegetative Growth, and Vasculature Structures in Arabidopsis thaliana. Plants. 11(23). 3353–3353. 5 indexed citations

Kim, Young‐Cheon, et al.. (2022). The splicing factor 1–FLOWERING LOCUS M module spatially regulates temperature-dependent flowering by modulating FLOWERING LOCUS T and LEAFY expression. Plant Cell Reports. 41(7). 1603–1612. 7 indexed citations

10.

Kim, Young‐Cheon, Eun-Young Yang, Myeong-Cheoul Cho, et al.. (2021). Applications and Major Achievements of Genome Editing in Vegetable Crops: A Review. Frontiers in Plant Science. 12. 688980–688980. 16 indexed citations

11.

Yoo, Dong Jin, Ji Yeong Yang, So-Yeun Woo, et al.. (2021). Molecular analysis of soyasaponin biosynthetic genes in two soybean (Glycine max L. Merr.) cultivars. Plant Biotechnology Reports. 15(1). 117–124. 6 indexed citations

12.

Kim, Young‐Cheon, Yeong‐Geun Lee, Nam‐In Baek, et al.. (2020). Critical enzymes for biosynthesis of cucurbitacin derivatives in watermelon and their biological significance. Communications Biology. 3(1). 444–444. 23 indexed citations

13.

Zhang, Chunying, Khin Thanda Win, Young‐Cheon Kim, & Sanghyeob Lee. (2019). Two types of mutations in the HEUKCHEEM gene functioning in cucumber spine color development can be used as signatures for cucumber domestication. Planta. 250(5). 1491–1504. 9 indexed citations

14.

Win, Khin Thanda, et al.. (2019). Identification of quantitative trait loci governing subgynoecy in cucumber. Theoretical and Applied Genetics. 132(5). 1505–1521. 21 indexed citations

15.

Kim, Young‐Cheon, et al.. (2019). Impact of Agrobacterium-infiltration and transient overexpression of BroMYB28 on glucoraphanin biosynthesis in broccoli leaves. Plant Biotechnology Reports. 14(3). 373–380. 6 indexed citations

16.

Lee, Jeong Hwan, et al.. (2018). RNA expression, protein activity, and interactions in the ACC synthase gene family in cucumber (Cucumis sativus L.). Horticulture Environment and Biotechnology. 59(1). 81–91. 8 indexed citations

17.

Iuchi, Satoshi, Hiroyuki Suzuki, Young‐Cheon Kim, et al.. (2007). Multiple loss‐of‐function of Arabidopsis gibberellin receptor AtGID1s completely shuts down a gibberellin signal. The Plant Journal. 50(6). 958–966. 124 indexed citations

18.

Kim, Young‐Cheon, Masatoshi Nakajima, Akira Nakayama, & Isomaro Yamaguchi. (2005). Contribution of Gibberellins to the Formation of Arabidopsis Seed Coat Through Starch Degradation. Plant and Cell Physiology. 46(8). 1317–1325. 45 indexed citations

19.

Lee, Jaehoon, et al.. (2003). Query Space Exploration Using Genetic Algorithm. 한국지능시스템학회 국제학술대회 발표논문집. 683–689. 4 indexed citations

20.

Kim, Young‐Cheon, et al.. (2001). Changes of Flavonoids in the Peel of Jeju Native Citrus Fruits during Maturation. Food Science and Biotechnology. 10(5). 16–20. 12 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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