Youn‐Tae Chi

973 total citations
10 papers, 770 citations indexed

About

Youn‐Tae Chi is a scholar working on Molecular Biology, Plant Science and Pharmacology. According to data from OpenAlex, Youn‐Tae Chi has authored 10 papers receiving a total of 770 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Plant Science and 2 papers in Pharmacology. Recurrent topics in Youn‐Tae Chi's work include Insect Resistance and Genetics (3 papers), Plant responses to water stress (2 papers) and Plant Stress Responses and Tolerance (2 papers). Youn‐Tae Chi is often cited by papers focused on Insect Resistance and Genetics (3 papers), Plant responses to water stress (2 papers) and Plant Stress Responses and Tolerance (2 papers). Youn‐Tae Chi collaborates with scholars based in South Korea and United States. Youn‐Tae Chi's co-authors include Young Hwan Kim, Jaewon Ryu, Sang Yong Chung, Hochang Chae, Hongzhi Bai, Jae‐Gu Pan, Dong‐Hyun Kim, Ji‐Yeon Kang, Taeho Ahn and Heung-Chae Jung and has published in prestigious journals such as Plant Molecular Biology, Physiologia Plantarum and Journal of Applied Microbiology.

In The Last Decade

Youn‐Tae Chi

10 papers receiving 748 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Youn‐Tae Chi South Korea	7	350	302	185	82	78	10	770
Khem Raj Meena India	11	282 0.8×	175 0.6×	139 0.8×	36 0.4×	81 1.0×	18	635
Omar A. Almaghrabi Saudi Arabia	16	214 0.6×	375 1.2×	143 0.8×	84 1.0×	67 0.9×	45	810
Jesús Muñoz‐Rojas Mexico	18	499 1.4×	514 1.7×	121 0.7×	36 0.4×	92 1.2×	48	1.1k
José A. Gutiérrez‐Barranquero Spain	18	278 0.8×	467 1.5×	40 0.2×	128 1.6×	48 0.6×	32	821
Sandra de Weert Netherlands	15	331 0.9×	672 2.2×	53 0.3×	95 1.2×	53 0.7×	16	985
Ana Arabolaza Argentina	17	601 1.7×	146 0.5×	67 0.4×	57 0.7×	145 1.9×	25	868
Zhaozhong Feng China	14	225 0.6×	333 1.1×	187 1.0×	90 1.1×	85 1.1×	27	806
Fernando Martínez‐Morales Mexico	18	454 1.3×	294 1.0×	150 0.8×	33 0.4×	251 3.2×	33	964
Shengming Zhao China	23	370 1.1×	152 0.5×	83 0.4×	100 1.2×	115 1.5×	55	1.3k

Countries citing papers authored by Youn‐Tae Chi

Since Specialization

Citations

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

Fields of papers citing papers by Youn‐Tae Chi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Youn‐Tae Chi. 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 Youn‐Tae Chi. The network helps show where Youn‐Tae Chi may publish in the future.

Co-authorship network of co-authors of Youn‐Tae Chi

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

All Works

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10 of 10 papers shown

Lee, Dong Ju, et al.. (2018). Analysis of two quorum sensing-deficient isolates of Pseudomonas aeruginosa. Microbial Pathogenesis. 119. 162–169. 17 indexed citations

Lee, Dong Ju, et al.. (2016). Superoxide serves as a putative signal molecule for plant cell division: overexpression of CaRLK1 promotes the plant cell cycle via accumulation of O₂⁻ and decrease in H₂O₂. Physiologia Plantarum. 159(2). 228–243. 12 indexed citations

Lee, Dong Ju, et al.. (2015). Noble strain of Sparassis latifolia produces high content of β-glucan. Asian Pacific Journal of Tropical Biomedicine. 5(8). 629–635. 6 indexed citations

Lee, Dong Ju, et al.. (2014). Ectopic expression of CaRLK1 enhances hypoxia tolerance with increasing alanine production in Nicotiana spp.. Plant Molecular Biology. 86(3). 255–270. 11 indexed citations

Kang, Ji‐Yeon, So Young Kim, Doo‐Il Kim, et al.. (2011). Characterization of diverse natural variants of CYP102A1 found within a species of Bacillus megaterium. AMB Express. 1(1). 1–1. 222 indexed citations

Ryu, Jaewon, et al.. (2010). Production of Biosurfactant Lipopeptides Iturin A, Fengycin and Surfactin A from Bacillus subtilis CMB32 for Control of Colletotrichum gloeosporioides. Journal of Microbiology and Biotechnology. 20(1). 138–145. 273 indexed citations

Bai, Hongzhi, et al.. (2004). Purification and characterization of a lipopeptide produced by Bacillus thuringiensis CMB26. Journal of Applied Microbiology. 97(5). 942–949. 208 indexed citations

Shim, Jae‐Han, et al.. (2003). Determination of Fungicide Mancozeb by a Bioassay Method Based on the Inhibition of Triphenyltetrazolium Chloride Reduction by Isolate Bacillus sp. CMB03. Journal of Applied Biological Chemistry. 46(2). 63–66. 2 indexed citations

Ryu, Sunhyo, et al.. (2001). Expression of Chicken Cystatin for Improving Insect Resistance in Rice. Journal of Plant Biology. 44(4). 205–212. 1 indexed citations

10.

Chi, Youn‐Tae, et al.. (2000). Differential Response of Obese Gene Expression from Fasting in Bovine Adipose Tissues. Bioscience Biotechnology and Biochemistry. 64(10). 2240–2242. 18 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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