Yoonkang Hur

2.8k total citations
96 papers, 2.1k citations indexed

About

Yoonkang Hur is a scholar working on Molecular Biology, Plant Science and Biochemistry. According to data from OpenAlex, Yoonkang Hur has authored 96 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Molecular Biology, 70 papers in Plant Science and 11 papers in Biochemistry. Recurrent topics in Yoonkang Hur's work include Plant Molecular Biology Research (34 papers), Photosynthetic Processes and Mechanisms (25 papers) and Plant Gene Expression Analysis (24 papers). Yoonkang Hur is often cited by papers focused on Plant Molecular Biology Research (34 papers), Photosynthetic Processes and Mechanisms (25 papers) and Plant Gene Expression Analysis (24 papers). Yoonkang Hur collaborates with scholars based in South Korea, China and United States. Yoonkang Hur's co-authors include Ill–Sup Nou, Jong‐In Park, Hee‐Jeong Jung, Nasar Uddin Ahmed, Jeongyeo Lee, Ching‐Tack Han, Xiangshu Dong, Jae-Wook Bang, Dal‐Hoe Koo and Yong-Pyo Lim and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nature Biotechnology.

In The Last Decade

Yoonkang Hur

95 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yoonkang Hur South Korea 28 1.5k 1.3k 171 166 164 96 2.1k
Yuanlong Liu China 16 1.8k 1.2× 1.5k 1.1× 166 1.0× 100 0.6× 53 0.3× 29 2.6k
Jos Molthoff Netherlands 21 1.3k 0.9× 1.8k 1.4× 89 0.5× 221 1.3× 680 4.1× 23 2.4k
Zaohai Zeng China 9 1.2k 0.8× 1.1k 0.8× 134 0.8× 67 0.4× 49 0.3× 16 1.8k
Gaojie Hong China 25 2.0k 1.3× 1.9k 1.4× 86 0.5× 165 1.0× 108 0.7× 52 3.1k
Seong Hee Bhoo South Korea 25 1.9k 1.2× 1.2k 0.9× 145 0.8× 56 0.3× 192 1.2× 55 2.4k
Elke Logemann Germany 22 2.0k 1.3× 1.4k 1.0× 35 0.2× 78 0.5× 226 1.4× 25 2.6k
Zhibing Lai United States 21 3.1k 2.0× 2.0k 1.5× 138 0.8× 112 0.7× 119 0.7× 28 3.7k
Giuliana Gusmaroli United States 17 2.5k 1.6× 2.2k 1.6× 79 0.5× 128 0.8× 58 0.4× 18 3.0k
Marc C. E. Van Montagu Belgium 16 2.2k 1.5× 2.1k 1.6× 168 1.0× 60 0.4× 88 0.5× 16 3.0k
Joachim F. Uhrig Germany 23 2.1k 1.3× 2.2k 1.6× 55 0.3× 312 1.9× 156 1.0× 36 2.9k

Countries citing papers authored by Yoonkang Hur

Since Specialization
Citations

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

Fields of papers citing papers by Yoonkang Hur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yoonkang Hur

This figure shows the co-authorship network connecting the top 25 collaborators of Yoonkang Hur. A scholar is included among the top collaborators of Yoonkang Hur 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 Yoonkang Hur. Yoonkang Hur 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.
Kim, Sang‐Woo, et al.. (2025). Discovery of a Two-Step Enzyme Cascade Converting Aspartate to Aminomalonate in Peptide Natural Product Biosynthesis. Journal of the American Chemical Society. 147(24). 20909–20918. 1 indexed citations
2.
Kim, Jaewook, Hyun Ju Lee, Kwang‐Soo Cho, et al.. (2022). Comparative Transcriptome Analysis between Two Potato Cultivars in Tuber Induction to Reveal Associated Genes with Anthocyanin Accumulation. International Journal of Molecular Sciences. 23(7). 3681–3681. 9 indexed citations
3.
Lee, Myungjin, et al.. (2020). Molecular characterization of Arabidopsis thaliana LSH1 and LSH2 genes. Genes & Genomics. 42(10). 1151–1162. 11 indexed citations
4.
Lee, Jeongyeo, Jung‐Eun Kim, Min-Keun Kim, et al.. (2016). Intracellular Ca2+ and K+ concentration in Brassica oleracea leaf induces differential expression of transporter and stress-related genes. BMC Genomics. 17(1). 211–211. 10 indexed citations
5.
Dong, Xiangshu, Ill–Sup Nou, Hankuil Yi, & Yoonkang Hur. (2015). Suppression of ASKβ (AtSK32), a Clade III Arabidopsis GSK3, Leads to the Pollen Defect during Late Pollen Development. Molecules and Cells. 38(6). 506–517. 11 indexed citations
6.
Ahmed, Nasar Uddin, Jong‐In Park, Hee‐Jeong Jung, et al.. (2014). Characterization of dihydroflavonol 4-reductase (DFR) genes and their association with cold and freezing stress in Brassica rapa. Gene. 550(1). 46–55. 95 indexed citations
7.
Jung, Hee‐Jeong, Xiangshu Dong, Jong‐In Park, et al.. (2014). Genome-Wide Transcriptome Analysis of Two Contrasting Brassica rapa Doubled Haploid Lines under Cold-Stresses Using Br135K Oligomeric Chip. PLoS ONE. 9(8). e106069–e106069. 21 indexed citations
8.
Park, Jong‐In, Nasar Uddin Ahmed, Hee‐Jeong Jung, et al.. (2013). Characterization and expression analysis of dirigent family genes related to stresses in Brassica. Plant Physiology and Biochemistry. 67. 144–153. 51 indexed citations
9.
Dong, Xiangshu, Hui Feng, Ming Xu, et al.. (2013). Comprehensive Analysis of Genic Male Sterility-Related Genes in Brassica rapa Using a Newly Developed Br300K Oligomeric Chip. PLoS ONE. 8(9). e72178–e72178. 50 indexed citations
10.
Ahmed, Nasar Uddin, Jong‐In Park, Hee‐Jeong Jung, et al.. (2012). Molecular characterization of stress resistance-related chitinase genes of Brassica rapa. Plant Physiology and Biochemistry. 58. 106–115. 35 indexed citations
11.
Dong, Xiangshu, et al.. (2012). Ogura-CMS in Chinese cabbage (Brassica rapa ssp. pekinensis) causes delayed expression of many nuclear genes. Plant Science. 199-200. 7–17. 30 indexed citations
12.
13.
Lee, Jeongyeo, Ching‐Tack Han, & Yoonkang Hur. (2012). Molecular characterization of the Brassica rapa auxin-repressed, superfamily genes, BrARP1 and BrDRM1. Molecular Biology Reports. 40(1). 197–209. 56 indexed citations
14.
Kim, In-Jung, et al.. (2011). Citrus Lea promoter confers fruit-preferential and stressinducible gene expression in Arabidopsis. Canadian Journal of Plant Science. 91(3). 459–466. 10 indexed citations
15.
Dhandapani, Vignesh, Nirala Ramchiary, Joonki Kim, et al.. (2011). Identification of Potential microRNAs and Their Targets in Brassica rapa L.. Molecules and Cells. 32(1). 21–38. 44 indexed citations
16.
Hur, Yoonkang, Jin Hee Kim, Dong‐Joon Lee, Kyung Min Chung, & Hye Ryun Woo. (2011). Overexpression of AtCHX24, a member of the cation/H+ exchangers, accelerates leaf senescence in Arabidopsis thaliana. Plant Science. 183. 175–182. 7 indexed citations
17.
Xu, Ming, et al.. (2009). Organic Nutrition and Gene Expression in Different Tissues of Chinese Cabbage. Horticulture Environment and Biotechnology. 50(2). 166–174. 3 indexed citations
18.
19.
Lee, Jeongyeo, et al.. (2007). Study of Gene (AtTPR) Coding TPR (Tetratricopeptide Repeat) Motif Protein in Arabidopsis. 16(2). 117–117. 1 indexed citations
20.
Kim, Kee-Yeun, et al.. (1999). Molecular characterization of cDNAs for two anionic peroxidases from suspension cultures of sweet potato. Molecular and General Genetics MGG. 261(6). 941–947. 53 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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