Chian Kwon

2.1k total citations
44 papers, 1.6k citations indexed

About

Chian Kwon is a scholar working on Plant Science, Molecular Biology and Cell Biology. According to data from OpenAlex, Chian Kwon has authored 44 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Plant Science, 20 papers in Molecular Biology and 10 papers in Cell Biology. Recurrent topics in Chian Kwon's work include Plant-Microbe Interactions and Immunity (18 papers), Legume Nitrogen Fixing Symbiosis (16 papers) and Plant Parasitism and Resistance (14 papers). Chian Kwon is often cited by papers focused on Plant-Microbe Interactions and Immunity (18 papers), Legume Nitrogen Fixing Symbiosis (16 papers) and Plant Parasitism and Resistance (14 papers). Chian Kwon collaborates with scholars based in South Korea, Germany and United States. Chian Kwon's co-authors include Hye Sup Yun, Ralph Panstruga, Paul Schulze‐Lefert, Volker Lipka, Paweł Bednarek, Jae‐Hoon Lee, In Kwon Chung, Mark Kwaaitaal, Marco R. Straus and Jane E. Parker and has published in prestigious journals such as Nature, Journal of Biological Chemistry and PLANT PHYSIOLOGY.

In The Last Decade

Chian Kwon

43 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chian Kwon South Korea 20 1.3k 887 408 57 55 44 1.6k
Jan Zouhar Spain 21 1.2k 1.0× 1.3k 1.4× 416 1.0× 19 0.3× 49 0.9× 46 1.9k
Christine Miège France 15 783 0.6× 1.1k 1.2× 321 0.8× 28 0.5× 48 0.9× 17 1.3k
David Scheuring Germany 22 944 0.8× 1.0k 1.2× 606 1.5× 35 0.6× 72 1.3× 37 1.5k
Miwa Kuroyanagi Japan 13 975 0.8× 967 1.1× 304 0.7× 16 0.3× 69 1.3× 16 1.5k
Yasuko Koumoto Japan 20 540 0.4× 916 1.0× 421 1.0× 29 0.5× 29 0.5× 28 1.1k
Giselbert Hinz Germany 27 956 0.8× 1.7k 1.9× 992 2.4× 93 1.6× 113 2.1× 35 2.1k
Lisbeth R. Poulsen Denmark 15 654 0.5× 870 1.0× 147 0.4× 29 0.5× 28 0.5× 19 1.2k
Sze Wan Lo Hong Kong 12 550 0.4× 802 0.9× 464 1.1× 45 0.8× 55 1.0× 14 1.1k
Jennifer Schoberer Austria 20 517 0.4× 931 1.0× 298 0.7× 44 0.8× 19 0.3× 29 1.2k
Martin Potocký Czechia 26 1.6k 1.3× 1.6k 1.9× 332 0.8× 12 0.2× 25 0.5× 53 2.2k

Countries citing papers authored by Chian Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Chian Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chian Kwon

This figure shows the co-authorship network connecting the top 25 collaborators of Chian Kwon. A scholar is included among the top collaborators of Chian Kwon 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 Chian Kwon. Chian Kwon 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.
Kumar, Ritesh, Arya Bagus Boedi Iswanto, Dhinesh Kumar, et al.. (2024). C‐Type LECTIN receptor‐like kinase 1 and ACTIN DEPOLYMERIZING FACTOR 3 are key components of plasmodesmata callose modulation. Plant Cell & Environment. 47(10). 3749–3765. 2 indexed citations
2.
Wang, Keke, Gang Yu, Lu Zhang, et al.. (2023). A bacterial type III effector targets plant vesicle‐associated membrane proteins. Molecular Plant Pathology. 24(9). 1154–1167. 7 indexed citations
3.
Yun, Hye Sup, Woo Jun Sul, Hoo Sun Chung, Jae‐Hoon Lee, & Chian Kwon. (2022). Secretory membrane traffic in plant–microbe interactions. New Phytologist. 237(1). 53–59. 18 indexed citations
4.
Kim, Soohong, et al.. (2021). Synaptotagmin 5 Controls SYP132-VAMP721/722 Interaction for Arabidopsis Immunity to Pseudomonas syringae pv tomato DC3000. Molecules and Cells. 44(9). 670–679. 19 indexed citations
5.
Kwon, Chian, et al.. (2021). Epigenetic control of abiotic stress signaling in plants. Genes & Genomics. 44(3). 267–278. 28 indexed citations
6.
Lee, Horim, et al.. (2020). CCOAOMT1, a candidate cargo secreted via VAMP721/722 secretory vesicles in Arabidopsis. Biochemical and Biophysical Research Communications. 524(4). 977–982. 10 indexed citations
7.
Kim, Sang‐Soon, et al.. (2020). Reactive-oxygen-species-mediated mechanism for photoinduced antibacterial and antiviral activities of Ag3PO4. Journal of Analytical Science & Technology. 11(1). 21–21. 17 indexed citations
8.
Yun, Hye Sup & Chian Kwon. (2017). Vesicle trafficking in plant immunity. Current Opinion in Plant Biology. 40. 34–42. 54 indexed citations
9.
Lee, Shin Ae, Eun Kyung Yoon, Jung‐ok Heo, et al.. (2016). Interplay between ABA and GA Modulates the Timing of Asymmetric Cell Divisions in the Arabidopsis Root Ground Tissue. Molecular Plant. 9(6). 870–884. 43 indexed citations
10.
Kim, Hye‐Ran, et al.. (2016). Synaptotagmin 1 Negatively Controls the Two Distinct Immune Secretory Pathways to Powdery Mildew Fungi in Arabidopsis. Plant and Cell Physiology. 57(6). 1133–1141. 43 indexed citations
11.
Park, Heonyong, et al.. (2016). Dual Effect of the Cubic Ag3PO4Crystal on Pseudomonas syringae Growth and Plant Immunity. The Plant Pathology Journal. 32(2). 168–170. 2 indexed citations
12.
Kwon, Chian & Hye Sup Yun. (2014). Plant Exocytic Secretion of Toxic Compounds for Defense. Toxicological Research. 30(2). 77–81. 6 indexed citations
13.
Heo, Jae Bok, Yun Mi Lee, Yong-Suk Lee, et al.. (2014). Rice serine/threonine kinase 1 is required for the stimulation of OsNug2 GTPase activity. Journal of Plant Physiology. 171(17). 1601–1608. 1 indexed citations
14.
Lee, Jae‐Hoon, Hye Sup Yun, & Chian Kwon. (2012). Molecular Communications between Plant Heat Shock Responses and Disease Resistance. Molecules and Cells. 34(2). 109–116. 47 indexed citations
15.
Park, Sohyeon, et al.. (2012). Vesicle-associated membrane proteins 721 and 722 are required for unimpeded growth of Arabidopsis under ABA application. Journal of Plant Physiology. 170(5). 529–533. 30 indexed citations
16.
Bednarek, Paweł, Chian Kwon, & Paul Schulze‐Lefert. (2010). Not a peripheral issue: secretion in plant–microbe interactions. Current Opinion in Plant Biology. 13(4). 378–387. 64 indexed citations
17.
Kwon, Chian, et al.. (2008). Activity Determinants and Functional Specialization of Arabidopsis PEN1 Syntaxin in Innate Immunity. Journal of Biological Chemistry. 283(40). 26974–26984. 55 indexed citations
18.
Kwon, Chian, Ralph Panstruga, & Paul Schulze‐Lefert. (2008). Les liaisons dangereuses: immunological synapse formation in animals and plants. Trends in Immunology. 29(4). 159–166. 32 indexed citations
19.
Kwon, Chian, et al.. (2007). Single‐stranded DNA binding factor AtWHY1 modulates telomere length homeostasis in Arabidopsis. The Plant Journal. 49(3). 442–451. 70 indexed citations
20.
Kwon, Chian & In Kwon Chung. (2004). Interaction of an Arabidopsis RNA-binding Protein with Plant Single-stranded Telomeric DNA Modulates Telomerase Activity. Journal of Biological Chemistry. 279(13). 12812–12818. 45 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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