Hunseung Kang

8.3k total citations · 1 hit paper
147 papers, 6.3k citations indexed

About

Hunseung Kang is a scholar working on Molecular Biology, Plant Science and Electrical and Electronic Engineering. According to data from OpenAlex, Hunseung Kang has authored 147 papers receiving a total of 6.3k indexed citations (citations by other indexed papers that have themselves been cited), including 123 papers in Molecular Biology, 72 papers in Plant Science and 15 papers in Electrical and Electronic Engineering. Recurrent topics in Hunseung Kang's work include RNA Research and Splicing (53 papers), RNA modifications and cancer (47 papers) and Plant Molecular Biology Research (39 papers). Hunseung Kang is often cited by papers focused on RNA Research and Splicing (53 papers), RNA modifications and cancer (47 papers) and Plant Molecular Biology Research (39 papers). Hunseung Kang collaborates with scholars based in South Korea, China and United States. Hunseung Kang's co-authors include Kyung Jin Kwak, Jin Sun Kim, Kwanuk Lee, Yeon Ok Kim, Su Jung Park, Yeon‐Ok Kim, Tao Xu, Jianzhong Hu, Hyun‐Ju Jung and Ji Young Jang and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Hunseung Kang

145 papers receiving 6.2k citations

Hit Papers

Abiotic stress: Interplay... 2017 2026 2020 2023 2017 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hunseung Kang South Korea 47 4.4k 3.8k 382 196 168 147 6.3k
Dominique Job France 43 3.7k 0.8× 6.4k 1.7× 157 0.4× 320 1.6× 158 0.9× 101 8.2k
Pengcheng Wang China 44 4.1k 0.9× 6.1k 1.6× 233 0.6× 139 0.7× 67 0.4× 151 8.1k
Zhixiang Chen United States 69 9.8k 2.2× 14.8k 3.9× 277 0.7× 219 1.1× 283 1.7× 164 18.0k
Tsuyoshi Nakagawa Japan 40 4.4k 1.0× 4.0k 1.0× 132 0.3× 446 2.3× 130 0.8× 105 6.3k
Langtao Xiao China 39 2.5k 0.6× 4.5k 1.2× 300 0.8× 52 0.3× 157 0.9× 183 5.7k
Jun You China 31 2.3k 0.5× 4.0k 1.1× 154 0.4× 98 0.5× 106 0.6× 124 4.9k
Na Sui China 47 2.5k 0.6× 4.1k 1.1× 111 0.3× 233 1.2× 78 0.5× 105 5.1k
Peter Nick Germany 45 3.5k 0.8× 5.0k 1.3× 118 0.3× 56 0.3× 241 1.4× 229 6.6k
Fengming Song China 43 2.5k 0.6× 4.4k 1.2× 161 0.4× 56 0.3× 201 1.2× 134 5.4k
Miguel Ángel Medina Torres Spain 26 4.3k 1.0× 8.9k 2.3× 70 0.2× 102 0.5× 281 1.7× 44 10.3k

Countries citing papers authored by Hunseung Kang

Since Specialization
Citations

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

Fields of papers citing papers by Hunseung Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hunseung Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Hunseung Kang. A scholar is included among the top collaborators of Hunseung Kang 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 Hunseung Kang. Hunseung Kang 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.
Yang, Qinglan, Hunseung Kang, Guogui Ning, et al.. (2025). Differential activation of defense responses in cucumbers by adapted versus non‐adapted lineages of the cotton‐melon aphid. Pest Management Science. 81(6). 2830–2839.
2.
Lee, Kwanuk & Hunseung Kang. (2024). Recent Insights into the Physio-Biochemical and Molecular Mechanisms of Low Temperature Stress in Tomato. Plants. 13(19). 2715–2715. 5 indexed citations
3.
Kang, Hunseung, et al.. (2024). Acoustic Waves Coupling with Polydimethylsiloxane in Reconfigurable Acoustofluidic Platform. Advanced Science. 11(47). e2407293–e2407293. 4 indexed citations
4.
Kang, Hunseung, et al.. (2024). Reading m6A marks in mRNA: A potent mechanism of gene regulation in plants. Journal of Integrative Plant Biology. 66(12). 2586–2599. 10 indexed citations
5.
Kim, Yeon‐Ok, Mahpara Safdar, Hunseung Kang, & Jangho Kim. (2024). Glycine-Rich RNA-Binding Protein AtGRP7 Functions in Nickel and Lead Tolerance in Arabidopsis. Plants. 13(2). 187–187. 4 indexed citations
6.
Cai, Jing, Jianzhong Hu, Tao Xu, & Hunseung Kang. (2024). FIONA1‐mediated mRNA m6A methylation regulates the response of Arabidopsis to salt stress. Plant Cell & Environment. 47(3). 900–912. 22 indexed citations
7.
Han, Rongpeng, et al.. (2023). ALKBH10B-mediated m6A demethylation is crucial for drought tolerance by affecting mRNA stability in Arabidopsis. Environmental and Experimental Botany. 209. 105306–105306. 23 indexed citations
8.
Hu, Jianzhong, et al.. (2023). Phylogenetic and functional analyses of N 6 -methyladenosine RNA methylation factors in the wheat scab fungus Fusarium graminearum. mSphere. 9(1). e0055223–e0055223. 8 indexed citations
9.
Lee, Kwanuk & Hunseung Kang. (2023). Engineering of pentatricopeptide repeat proteins in organellar gene regulation. Frontiers in Plant Science. 14. 1144298–1144298. 4 indexed citations
10.
Hu, Jianzhong, et al.. (2023). ECT12, an YTH-domain protein, is a potential mRNA m6A reader that affects abiotic stress responses by modulating mRNA stability in Arabidopsis. Plant Physiology and Biochemistry. 206. 108255–108255. 21 indexed citations
11.
Park, Su Jung, et al.. (2017). TAF15b, involved in the autonomous pathway for flowering, represses transcription of FLOWERING LOCUS C. The Plant Journal. 93(1). 79–91. 29 indexed citations
12.
Lee, Sun-ji, Hyun‐Ju Jung, Hunseung Kang, & Soo Young Kim. (2012). Arabidopsis Zinc Finger Proteins AtC3H49/AtTZF3 and AtC3H20/AtTZF2 are Involved in ABA and JA Responses. Plant and Cell Physiology. 53(4). 673–686. 90 indexed citations
13.
Rhee, Ji Ye, Kyung Jin Kwak, Gap Chae Chung, et al.. (2011). Hydrogen peroxide permeability of plasma membrane aquaporins of Arabidopsis thaliana. Journal of Plant Research. 125(1). 147–153. 96 indexed citations
14.
Jeon, Young Ho, Hyun‐Ju Jung, Hunseung Kang, et al.. (2011). S1 domain‐containing STF modulates plastid transcription and chloroplast biogenesis in Nicotiana benthamiana. New Phytologist. 193(2). 349–363. 27 indexed citations
15.
Kim, Joo Yong, Won Yong Kim, Kyung Jin Kwak, et al.. (2009). Zinc finger‐containing glycine‐rich RNA‐binding protein in Oryza sativa has an RNA chaperone activity under cold stress conditions. Plant Cell & Environment. 33(5). 759–768. 66 indexed citations
16.
Kim, Yeon‐Ok & Hunseung Kang. (2006). The Role of a Zinc Finger-containing Glycine-rich RNA-binding Protein During the Cold Adaptation Process in Arabidopsis thaliana. Plant and Cell Physiology. 47(6). 793–798. 64 indexed citations
17.
Ryu, Stephen I., et al.. (2004). A novel cDNA from Parthenium argentatum Gray enhances the rubber biosynthetic activity in vitro*. Journal of Experimental Botany. 55(396). 377–385. 52 indexed citations
19.
Ryu, Stephen I., et al.. (2000). Molecular Cloning, Expression, and Functional Analysis of a cis-Prenyltransferase from Arabidopsis thaliana. Journal of Biological Chemistry. 275(24). 18482–18488. 90 indexed citations
20.
Kang, Hunseung, et al.. (1998). The N-Terminal Amino Acid Sequences of the Firefly Luciferase Are Important for the Stability of the Enzyme. Photochemistry and Photobiology. 68(5). 749–749. 26 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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