Mi Chung Suh

754 total citations
11 papers, 550 citations indexed

About

Mi Chung Suh is a scholar working on Plant Science, Molecular Biology and Immunology. According to data from OpenAlex, Mi Chung Suh has authored 11 papers receiving a total of 550 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Plant Science, 7 papers in Molecular Biology and 1 paper in Immunology. Recurrent topics in Mi Chung Suh's work include Plant Surface Properties and Treatments (5 papers), Postharvest Quality and Shelf Life Management (4 papers) and Plant Molecular Biology Research (3 papers). Mi Chung Suh is often cited by papers focused on Plant Surface Properties and Treatments (5 papers), Postharvest Quality and Shelf Life Management (4 papers) and Plant Molecular Biology Research (3 papers). Mi Chung Suh collaborates with scholars based in South Korea, China and France. Mi Chung Suh's co-authors include Saet Buyl Lee, Hyojin Kim, Hae Jin Kim, Inhwan Hwang, Myung Ki Min, Dongsu Choi, Yun Hee Jang, Jeong‐Kook Kim, Yan Xue and Shiu‐Cheung Lung and has published in prestigious journals such as The Plant Journal, Journal of Experimental Botany and Plant and Cell Physiology.

In The Last Decade

Mi Chung Suh

11 papers receiving 542 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mi Chung Suh South Korea 9 454 289 75 19 18 11 550
Yuanya Li China 6 497 1.1× 345 1.2× 17 0.2× 16 0.8× 12 0.7× 7 563
Martin Di Donato Switzerland 11 468 1.0× 304 1.1× 14 0.2× 13 0.7× 21 1.2× 13 530
Jhadeswar Murmu Canada 9 676 1.5× 465 1.6× 21 0.3× 6 0.3× 14 0.8× 11 761
Li Ping Tang China 9 337 0.7× 290 1.0× 16 0.2× 6 0.3× 11 0.6× 18 385
Johan Bucher Netherlands 15 482 1.1× 411 1.4× 56 0.7× 4 0.2× 17 0.9× 26 595
Nathalia de Setta Brazil 10 273 0.6× 188 0.7× 15 0.2× 13 0.7× 22 1.2× 26 364
Selahattin Danisman Germany 9 798 1.8× 668 2.3× 14 0.2× 7 0.4× 19 1.1× 10 930
Lizong Hu China 9 222 0.5× 141 0.5× 22 0.3× 12 0.6× 14 0.8× 20 298
Zengdong Tan China 13 291 0.6× 208 0.7× 70 0.9× 11 0.6× 6 0.3× 24 408
Yan-Bin Tao China 13 311 0.7× 305 1.1× 33 0.4× 10 0.5× 7 0.4× 20 392

Countries citing papers authored by Mi Chung Suh

Since Specialization
Citations

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

Fields of papers citing papers by Mi Chung Suh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mi Chung Suh. 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 Mi Chung Suh. The network helps show where Mi Chung Suh may publish in the future.

Co-authorship network of co-authors of Mi Chung Suh

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

All Works

11 of 11 papers shown
1.
Suh, Mi Chung, et al.. (2024). ATP-binding cassette G23 is required for Arabidopsis seed coat suberization. Plant Science. 352. 112361–112361. 3 indexed citations
2.
Kesawat, Mahipal Singh, et al.. (2018). Ectopic RING zinc finger gene from hot pepper induces totally different genes in lettuce and tobacco. Molecular Breeding. 38(6). 70–70. 7 indexed citations
3.
Kim, Hyojin, Dongsu Choi, & Mi Chung Suh. (2017). Cuticle ultrastructure, cuticular lipid composition, and gene expression in hypoxia-stressed Arabidopsis stems and leaves. Plant Cell Reports. 36(6). 815–827. 32 indexed citations
4.
Xue, Yan, Shi Xiao, Ju‐Young Kim, et al.. (2014). Arabidopsis membrane-associated acyl-CoA-binding protein ACBP1 is involved in stem cuticle formation. Journal of Experimental Botany. 65(18). 5473–5483. 64 indexed citations
6.
Lee, Saet Buyl & Mi Chung Suh. (2012). Recent Advances in Cuticular Wax Biosynthesis and Its Regulation in Arabidopsis. Molecular Plant. 6(2). 246–249. 158 indexed citations
7.
Go, Young Sam, Jungmook Kim, Jeong‐Kook Kim, et al.. (2012). Identification of marneral synthase, which is critical for growth and development in Arabidopsis. The Plant Journal. 72(5). 791–804. 30 indexed citations
9.
Jang, Yun Hee, Soon-Kap Kim, Jeong Hwan Lee, et al.. (2009). Survey of Rice Proteins Interacting With OsFCA and OsFY Proteins Which Are Homologous to the Arabidopsis Flowering Time Proteins, FCA and FY. Plant and Cell Physiology. 50(8). 1479–1492. 19 indexed citations
10.
Park, Jong Ho, et al.. (2008). Expression of glycine-rich protein genes, AtGRP5 and AtGRP23, induced by the cutin monomer 16-hydroxypalmitic acid in Arabidopsis thaliana. Plant Physiology and Biochemistry. 46(11). 1015–1018. 18 indexed citations
11.
Kim, Tae Hyun, Jong Ho Park, Seong Sook Han, et al.. (2006). Differential expression of rice lipid transfer protein gene(LTP) classes in response to abscisic acid, salt, salicylic acid, and the fungal pathogenMagnaporthe grisea. Journal of Plant Biology. 49(5). 371–375. 11 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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