June Seung Lee

1.8k total citations
25 papers, 1.4k citations indexed

About

June Seung Lee is a scholar working on Plant Science, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, June Seung Lee has authored 25 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Plant Science, 12 papers in Molecular Biology and 1 paper in Pathology and Forensic Medicine. Recurrent topics in June Seung Lee's work include Plant Molecular Biology Research (16 papers), Plant Stress Responses and Tolerance (10 papers) and Plant nutrient uptake and metabolism (6 papers). June Seung Lee is often cited by papers focused on Plant Molecular Biology Research (16 papers), Plant Stress Responses and Tolerance (10 papers) and Plant nutrient uptake and metabolism (6 papers). June Seung Lee collaborates with scholars based in South Korea, United States and Japan. June Seung Lee's co-authors include Yun Soo Bae, Jung Hee Joo, Soo Chul Chang, Seong‐Ki Kim, Young‐Soo Kim, Tae‐Wuk Kim, Suguru Takatsuto, Kyoung Hee Nam, Se‐Hwan Joo and Seongbin Hwang and has published in prestigious journals such as The Plant Cell, PLANT PHYSIOLOGY and Biochemical and Biophysical Research Communications.

In The Last Decade

June Seung Lee

24 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
June Seung Lee South Korea 15 1.2k 776 28 28 28 25 1.4k
María Pilar Rodríguez‐Rosales Spain 23 1.5k 1.2× 624 0.8× 23 0.8× 33 1.2× 39 1.4× 37 1.7k
Angelika Fath United States 13 1.3k 1.1× 771 1.0× 30 1.1× 21 0.8× 46 1.6× 18 1.5k
Gábor Rigó Hungary 15 1.4k 1.2× 984 1.3× 32 1.1× 16 0.6× 27 1.0× 27 1.6k
Fushun Hao China 20 1.4k 1.2× 667 0.9× 22 0.8× 36 1.3× 16 0.6× 38 1.6k
Xavier Zarza Netherlands 16 958 0.8× 655 0.8× 30 1.1× 12 0.4× 34 1.2× 16 1.1k
Chen Miao China 12 1.1k 0.9× 605 0.8× 23 0.8× 20 0.7× 15 0.5× 23 1.3k
Simon R. Law Australia 23 1.6k 1.3× 1.7k 2.2× 32 1.1× 23 0.8× 72 2.6× 32 2.2k
Xiao-Shu Gao China 13 749 0.6× 540 0.7× 20 0.7× 13 0.5× 12 0.4× 13 991
Hsu-Liang Hsieh Taiwan 18 1.1k 0.9× 966 1.2× 73 2.6× 42 1.5× 12 0.4× 31 1.5k
Seiji Tsurumi Japan 19 1.5k 1.2× 998 1.3× 72 2.6× 16 0.6× 38 1.4× 49 1.7k

Countries citing papers authored by June Seung Lee

Since Specialization
Citations

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

Fields of papers citing papers by June Seung Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by June Seung Lee. 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 June Seung Lee. The network helps show where June Seung Lee may publish in the future.

Co-authorship network of co-authors of June Seung Lee

This figure shows the co-authorship network connecting the top 25 collaborators of June Seung Lee. A scholar is included among the top collaborators of June Seung Lee 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 June Seung Lee. June Seung Lee 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
2.
Lee, Chang Won, et al.. (2022). Study on EEG-based carelessness warnings to bus driver. 1–2. 1 indexed citations
3.
Jeong, Yu Jeong, June Seung Lee, & Dong-Gwan Kim. (2021). Characterization of BRASSINOSTEROID F-BOX Proteins BRFPs that Regulate BRASSINOSTEROID-INSENSITIVE 2 Kinase. Journal of Plant Biology. 65(1). 53–63. 4 indexed citations
4.
Jeong, Yu Jeong, Yun Shang, Beg Hab Kim, et al.. (2010). BAK7 Displays Unequal Genetic Redundancy with BAK1 in Brassinosteroid Signaling and Early Senescence in Arabidopsis. Molecules and Cells. 29(3). 259–266. 39 indexed citations
5.
Kim, Sun Young, et al.. (2008). Modulations of AtGSTF10 expression induce stress tolerance and BAK1-mediated cell death. Biochemical and Biophysical Research Communications. 379(2). 417–422. 36 indexed citations
6.
Mok, Young Geun, Byoung‐Doo Lee, Young Jin Kim, et al.. (2008). The tobacco geneNtcyc07confers arsenite tolerance inSaccharomyces cerevisiaeby reducing the steady state levels of intracellular arsenic. FEBS Letters. 582(6). 916–924. 8 indexed citations
7.
Joo, Se‐Hwan, Hye Sup Yun, Yew Lee, et al.. (2007). Elongation and gravitropic responses of Arabidopsis roots are regulated by brassinolide and IAA. Plant Cell & Environment. 30(6). 679–689. 79 indexed citations
8.
Kim, Young‐Soo, Tae‐Wuk Kim, Soo Chul Chang, et al.. (2006). Regulation of castasterone level in primary roots of maize, Zea mays. Physiologia Plantarum. 127(1). 28–37. 4 indexed citations
9.
Joo, Jung Hee, et al.. (2005). Auxin‐induced reactive oxygen species production requires the activation of phosphatidylinositol 3‐kinase. FEBS Letters. 579(5). 1243–1248. 106 indexed citations
10.
Chang, Soo Chul, Youngsoo Kim, Jin‐Young Lee, et al.. (2004). Brassinolide interacts with auxin and ethylene in the root gravitropic response of maize (Zea mays). Physiologia Plantarum. 121(4). 666–673. 16 indexed citations
11.
Kim, Tae‐Wuk, Soo Chul Chang, June Seung Lee, et al.. (2004). Cytochrome P450-catalyzed brassinosteroid pathway activation through synthesis of castasterone and brassinolide in Phaseolus vulgaris. Phytochemistry. 65(6). 679–689. 23 indexed citations
12.
Kim, Suna, Seong‐Ki Kim, Peter B. Kaufman, June Seung Lee, & Soo Chul Chang. (2004). Ethylene biosynthesis in a chilling-sensitiveArabidopsis mutant,chs4-2. Journal of Plant Biology. 47(4). 307–313. 2 indexed citations
13.
Chang, Kwang Suk, Chang Eun Lee, Kyongmin Kim, et al.. (2003). The Putative Transcriptional Activator MSN1 Promotes Chromium Accumulation in Saccharomyces cerevisiae. Molecules and Cells. 16(3). 291–296. 6 indexed citations
14.
Hao, Gang, Dong-Hee Lee, June Seung Lee, & Nam Sook Lee. (2002). A study of taxonomical relationships among species of Korean Allium sect. Sacculiferum (Alliaceae) and related species using inter-simple sequence repeat (ISSR) markers. Zhōngyāng yánjiūyuàn zhíwùxué huikān/Zhōngyāng yánjiūyuàn zhíwùxué huikān. 43(1). 63–68. 22 indexed citations
15.
Kim, Seong‐Ki, et al.. (2002). ABA and polyamines act independently in primary leaves of 
cold‐stressed tomato (Lycopersicon esculentum). Physiologia Plantarum. 115(3). 370–376. 77 indexed citations
16.
Joo, Jung Hee, Yun Soo Bae, & June Seung Lee. (2001). Role of Auxin-Induced Reactive Oxygen Species in Root Gravitropism. PLANT PHYSIOLOGY. 126(3). 1055–1060. 427 indexed citations
17.
Kim, Tae‐Wuk, et al.. (2000). Occurrence of teasterone and typhasterol, and their enzymatic conversion in Phaseolus vulgaris. Bulletin of the Korean Chemical Society. 21(4). 373–374. 8 indexed citations
18.
Kim, Seong‐Ki, Soo Chul Chang, Eun Joo Lee, et al.. (2000). Involvement of Brassinosteroids in the Gravitropic Response of Primary Root of Maize. PLANT PHYSIOLOGY. 123(3). 997–1004. 110 indexed citations
19.
Kim, Tae‐Wuk, Soo Chul Chang, Tsuyoshi Watanabe, et al.. (2000). Brassinolide and [26, 28-2H6]Brassinolide Are Differently Demethylated by Loss of C-26 and C-28, Respectively, inMarchantia polymorpha. Plant and Cell Physiology. 41(10). 1171–1174. 17 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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