Soon‐Ki Han

2.2k total citations
20 papers, 1.3k citations indexed

About

Soon‐Ki Han is a scholar working on Plant Science, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Soon‐Ki Han has authored 20 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Plant Science, 15 papers in Molecular Biology and 1 paper in Infectious Diseases. Recurrent topics in Soon‐Ki Han's work include Plant Molecular Biology Research (16 papers), Plant Stress Responses and Tolerance (6 papers) and Plant nutrient uptake and metabolism (6 papers). Soon‐Ki Han is often cited by papers focused on Plant Molecular Biology Research (16 papers), Plant Stress Responses and Tolerance (6 papers) and Plant nutrient uptake and metabolism (6 papers). Soon‐Ki Han collaborates with scholars based in United States, South Korea and Japan. Soon‐Ki Han's co-authors include Doris Wagner, Miin‐Feng Wu, Keiko U. Torii, Yi Sang, Pedro L. Rodrı́guez, Yoo‐Sun Noh, Bosl Noh, Sujuan Cui, Américo Rodrigues and Zhen Li and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Immunology.

In The Last Decade

Soon‐Ki Han

20 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Soon‐Ki Han United States 18 1.2k 904 50 35 21 20 1.3k
Jorge Marqués United States 8 737 0.6× 497 0.5× 29 0.6× 17 0.5× 20 1.0× 9 927
Marta Peirats‐Llobet Spain 14 1.1k 1.0× 603 0.7× 14 0.3× 29 0.8× 22 1.0× 18 1.4k
Xing Wang Deng United States 17 1.7k 1.4× 1.4k 1.6× 13 0.3× 39 1.1× 28 1.3× 18 1.9k
Youlin Zhu China 12 792 0.7× 346 0.4× 34 0.7× 161 4.6× 30 1.4× 30 975
Mauricio Reynoso United States 11 703 0.6× 550 0.6× 12 0.2× 64 1.8× 10 0.5× 17 910
Yongfeng Hu China 17 1.2k 1.1× 923 1.0× 11 0.2× 134 3.8× 19 0.9× 37 1.4k
Cristel C. Carles France 21 1.9k 1.6× 1.6k 1.8× 12 0.2× 60 1.7× 73 3.5× 32 2.1k
Zhou-Geng Xu China 13 716 0.6× 728 0.8× 11 0.2× 49 1.4× 46 2.2× 19 988
Germain Pauluzzi United States 10 708 0.6× 580 0.6× 8 0.2× 66 1.9× 12 0.6× 12 885
Yashitola Wamboldt United States 12 516 0.4× 609 0.7× 10 0.2× 58 1.7× 40 1.9× 14 898

Countries citing papers authored by Soon‐Ki Han

Since Specialization
Citations

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

Fields of papers citing papers by Soon‐Ki Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Soon‐Ki Han. 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 Soon‐Ki Han. The network helps show where Soon‐Ki Han may publish in the future.

Co-authorship network of co-authors of Soon‐Ki Han

This figure shows the co-authorship network connecting the top 25 collaborators of Soon‐Ki Han. A scholar is included among the top collaborators of Soon‐Ki Han 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 Soon‐Ki Han. Soon‐Ki Han 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.
Wen, Xiaohong, Jae‐Ung Hwang, Yoon Ha Choi, et al.. (2025). MYB74 transcription factor guides de novo specification of epidermal cells in the abscission zone of Arabidopsis. Nature Plants. 11(4). 849–860. 1 indexed citations
2.
Nakagawa, Ayami, Krishna Mohan Sepuru, Zixuan Li, et al.. (2024). Chemical inhibition of stomatal differentiation by perturbation of the master-regulatory bHLH heterodimer via an ACT-Like domain. Nature Communications. 15(1). 8996–8996. 4 indexed citations
3.
Kim, Eundeok, Michael W. Dorrity, Krishna Mohan Sepuru, et al.. (2022). Dynamic chromatin accessibility deploys heterotypic cis/trans-acting factors driving stomatal cell-fate commitment. Nature Plants. 8(12). 1453–1466. 17 indexed citations
4.
Han, Soon‐Ki, Arvid Herrmann, Tomoaki Sakamoto, et al.. (2022). Deceleration of the cell cycle underpins a switch from proliferative to terminal divisions in plant stomatal lineage. Developmental Cell. 57(5). 569–582.e6. 32 indexed citations
5.
Jin, Run, Samantha Klasfeld, Yang Zhu, et al.. (2021). LEAFY is a pioneer transcription factor and licenses cell reprogramming to floral fate. Nature Communications. 12(1). 626–626. 83 indexed citations
6.
Han, Soon‐Ki, June M. Kwak, & Xingyun Qi. (2021). Stomatal Lineage Control by Developmental Program and Environmental Cues. Frontiers in Plant Science. 12. 751852–751852. 22 indexed citations
7.
Han, Soon‐Ki & Keiko U. Torii. (2019). Linking cell cycle to stomatal differentiation. Current Opinion in Plant Biology. 51. 66–73. 23 indexed citations
8.
Qi, Xingyun, Soon‐Ki Han, Jonathan H. Dang, et al.. (2017). Autocrine regulation of stomatal differentiation potential by EPF1 and ERECTA-LIKE1 ligand-receptor signaling. eLife. 6. 72 indexed citations
9.
Lee, Sang‐Choon, et al.. (2017). A gibberellin-stimulated transcript, OsGASR1, controls seedling growth and α-amylase expression in rice. Journal of Plant Physiology. 214. 116–122. 19 indexed citations
10.
Han, Soon‐Ki & Keiko U. Torii. (2016). Lineage-specific stem cells, signals and asymmetries during stomatal development. Development. 143(8). 1259–1270. 75 indexed citations
11.
Han, Soon‐Ki, Miin‐Feng Wu, Sujuan Cui, & Doris Wagner. (2015). Roles and activities of chromatin remodeling ATPases in plants. The Plant Journal. 83(1). 62–77. 127 indexed citations
12.
Peirats‐Llobet, Marta, Soon‐Ki Han, Miguel González‐Guzmán, et al.. (2015). A Direct Link between Abscisic Acid Sensing and the Chromatin-Remodeling ATPase BRAHMA via Core ABA Signaling Pathway Components. Molecular Plant. 9(1). 136–147. 97 indexed citations
13.
Lee, Sang‐Choon, Soon‐Ki Han, & Seong‐Ryong Kim. (2015). Salt- and ABA-inducible OsGASR1 is involved in salt tolerance. Journal of Plant Biology. 58(2). 96–101. 24 indexed citations
14.
Han, Soon‐Ki & Doris Wagner. (2013). Role of chromatin in water stress responses in plants. Journal of Experimental Botany. 65(10). 2785–2799. 70 indexed citations
15.
Wu, Miin‐Feng, Yi Sang, Staver Bezhani, et al.. (2012). SWI2/SNF2 chromatin remodeling ATPases overcome polycomb repression and control floral organ identity with the LEAFY and SEPALLATA3 transcription factors. Proceedings of the National Academy of Sciences. 109(9). 3576–3581. 180 indexed citations
16.
Song, Hae‐Ryong, Soon‐Ki Han, Muho Han, et al.. (2012). HDA19 is required for the repression of salicylic acid biosynthesis and salicylic acid‐mediated defense responses in Arabidopsis. The Plant Journal. 71(1). 135–146. 151 indexed citations
17.
Han, Soon‐Ki, Yi Sang, Américo Rodrigues, et al.. (2012). The SWI2/SNF2 Chromatin Remodeling ATPase BRAHMA Represses Abscisic Acid Responses in the Absence of the Stress Stimulus inArabidopsis . The Plant Cell. 24(12). 4892–4906. 169 indexed citations
18.
Han, Soon‐Ki, et al.. (2006). Role of plant CBP/p300‐like genes in the regulation of flowering time. The Plant Journal. 49(1). 103–114. 85 indexed citations
19.
Lee, Sang‐Choon, Ji‐Youn Kim, Sung Hyun Kim, et al.. (2003). Trapping and characterization of cold-responsive genes from T-DNA tagging lines in rice. Plant Science. 166(1). 69–79. 41 indexed citations
20.
Heise, E R, Soon‐Ki Han, & Russell S. Weiser. (1968). In Vitro Studies on the Mechanism of Macrophage Migration Inhibition in Tuberculin Sensitivity. The Journal of Immunology. 101(5). 1004–1015. 47 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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2026