Daeyoung Son

519 total citations
38 papers, 412 citations indexed

About

Daeyoung Son is a scholar working on Plant Science, Molecular Biology and Insect Science. According to data from OpenAlex, Daeyoung Son has authored 38 papers receiving a total of 412 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Plant Science, 20 papers in Molecular Biology and 10 papers in Insect Science. Recurrent topics in Daeyoung Son's work include Heat shock proteins research (9 papers), Plant Stress Responses and Tolerance (6 papers) and Plant Molecular Biology Research (6 papers). Daeyoung Son is often cited by papers focused on Heat shock proteins research (9 papers), Plant Stress Responses and Tolerance (6 papers) and Plant Molecular Biology Research (6 papers). Daeyoung Son collaborates with scholars based in South Korea, Japan and United States. Daeyoung Son's co-authors include Joon‐Yung Cha, Mukhamad Su’udi, Tatsuo Sugiyama, Chang‐deok Han, Jinki Jo, Moo Je Cho, Inhwan Hwang, Ying Liang, Kon Ho Lee and Ho Yul Choo and has published in prestigious journals such as Journal of Biological Chemistry, PLANT PHYSIOLOGY and Biochemical and Biophysical Research Communications.

In The Last Decade

Daeyoung Son

32 papers receiving 393 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daeyoung Son South Korea 13 249 228 45 35 29 38 412
Ivonne Toledo Mexico 11 216 0.9× 173 0.8× 14 0.3× 20 0.6× 47 1.6× 12 364
María Azucena Ortega-Amaro Mexico 13 331 1.3× 172 0.8× 37 0.8× 26 0.7× 10 0.3× 21 417
I Nengah Suwastika Indonesia 11 492 2.0× 395 1.7× 16 0.4× 20 0.6× 23 0.8× 55 683
Won-Il Chung South Korea 12 355 1.4× 404 1.8× 16 0.4× 26 0.7× 26 0.9× 16 598
Neetika Khurana India 8 465 1.9× 363 1.6× 39 0.9× 12 0.3× 20 0.7× 11 590
Chu-Yung Lin United States 7 277 1.1× 281 1.2× 76 1.7× 17 0.5× 23 0.8× 14 427
Randal M. Hauptmann United States 13 434 1.7× 559 2.5× 42 0.9× 34 1.0× 16 0.6× 16 642
Yves Deveaux France 9 590 2.4× 592 2.6× 21 0.5× 34 1.0× 15 0.5× 13 742
Nancy R. Forsthoefel United States 13 518 2.1× 374 1.6× 9 0.2× 30 0.9× 13 0.4× 18 647
Jinlei Shi China 8 333 1.3× 259 1.1× 22 0.5× 9 0.3× 13 0.4× 11 433

Countries citing papers authored by Daeyoung Son

Since Specialization
Citations

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

Fields of papers citing papers by Daeyoung Son

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daeyoung Son

This figure shows the co-authorship network connecting the top 25 collaborators of Daeyoung Son. A scholar is included among the top collaborators of Daeyoung Son 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 Daeyoung Son. Daeyoung Son 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.
Son, Daeyoung, et al.. (2024). NAC Transcription Factor <i>ANAC032</i> Negatively Regulates Abscisic Acid and Sugar Responses. Han-guk choji josaryo hakoeji. 44(3). 197–203. 1 indexed citations
2.
3.
Son, Daeyoung, et al.. (2021). 2018–2020 Monitoring Reports on Huanglongbing and Its Pest Vector, Asian Citrus Psyllid(<i>Diaphotima citri</i>) in South Korea. Journal of Agriculture & Life Science. 55(1). 13–18. 1 indexed citations
4.
Hong, Jong Chan, et al.. (2021). Isolation of Multi-Abiotic Stress Response Genes to Generate Global Warming Defense Forage Crops. Han-guk choji josaryo hakoeji. 41(4). 242–249. 1 indexed citations
5.
Cha, Joon‐Yung, Sang‐Hoon Lee, Kyung Hye Seo, et al.. (2015). N-terminal arm of orchardgrass Hsp17.2 (DgHsp17.2) is essential for both in vitro chaperone activity and in vivo thermotolerance in yeast. Archives of Biochemistry and Biophysics. 591. 18–27. 6 indexed citations
6.
7.
Choi, Okhee, et al.. (2013). Streptomyces padanus for the Biological Control of Phytophthora capsici on Pepper Plants. 47(4). 1–9. 4 indexed citations
8.
Choi, Okhee, et al.. (2012). Evaluation of Streptomyces padanus IA70-5 Strain to Control Hot Pepper Anthracnose (Colletotrichum acutatum). 46(3). 37–45. 1 indexed citations
9.
Su’udi, Mukhamad, Joon‐Yung Cha, Il‐Pyung Ahn, et al.. (2012). Functional characterization of a B-type cell cycle switch 52 in rice (OsCCS52B). Plant Cell Tissue and Organ Culture (PCTOC). 111(1). 101–111. 14 indexed citations
10.
Cha, Joon‐Yung, Mukhamad Su’udi, Woe‐Yeon Kim, et al.. (2012). Functional characterization of orchardgrass cytosolic Hsp70 (DgHsp70) and the negative regulation by Ca2+/AtCaM2 binding. Plant Physiology and Biochemistry. 58. 29–36. 16 indexed citations
11.
Xuan, Yuanhu, Su Hyun Park, Byoung Il Je, et al.. (2010). OsCIPK31, a CBL-Interacting Protein Kinase Is Involved in Germination and Seedling Growth under Abiotic Stress Conditions in Rice Plants. Molecules and Cells. 30(1). 19–28. 68 indexed citations
12.
Jung, Min Hee, et al.. (2009). Functional characterization of orchardgrass endoplasmic reticulum-resident Hsp90 (DgHsp90) as a chaperone and an ATPase. Plant Physiology and Biochemistry. 47(10). 859–866. 15 indexed citations
13.
Cha, Joon‐Yung, Min Hee Jung, Mukhamad Su’udi, et al.. (2008). Characterization of orchardgrass p23, a flowering plant Hsp90 cohort protein. Cell Stress and Chaperones. 14(3). 233–243. 14 indexed citations
14.
Kim, Ki-Yong, et al.. (2008). Acquisition of Thermotolerance in Transgenic Orchardgrass Plants with DgHSP17.2 Gene. Asian-Australasian Journal of Animal Sciences. 21(5). 657–662. 1 indexed citations
15.
Choi, Yong Kee, et al.. (2005). Structure of Chlorobium tepidum Sepiapterin Reductase Complex Reveals the Novel Substrate Binding Mode for Stereospecific Production of l-threo-Tetrahydrobiopterin. Journal of Biological Chemistry. 281(4). 2249–2256. 14 indexed citations
16.
Jo, Jinki, et al.. (2004). Paraquat resistance of transgenic tobacco plants over-expressing the Ochrobactrum anthropipqrA gene. Biotechnology Letters. 26(18). 1391–1396. 13 indexed citations
17.
Bae, Dong‐Won, et al.. (2000). Purification and characterization of a novel antifungal protein from Paenibacillus macerans PM1 antagonistic to rice blast fungus, Pyricularia oryzae. Journal of Microbiology and Biotechnology. 10(6). 805–810. 3 indexed citations
18.
Bae, Dong‐Won, et al.. (2000). Isolation of bacterial strain antagonistic to Pyricularia oryzae and its mode of antifungal action. Journal of Microbiology and Biotechnology. 10(6). 811–816. 6 indexed citations
19.
Liang, Ying, et al.. (2000). Molecular Cloning and Targeting of a Fibrillarin Homolog from Arabidopsis. PLANT PHYSIOLOGY. 123(1). 51–58. 53 indexed citations
20.
Son, Daeyoung, Jinki Jo, & Tatsuo Sugiyama. (1991). Purification and characterization of alanine aminotransferase from Panicum miliaceum leaves. Archives of Biochemistry and Biophysics. 289(1). 262–266. 23 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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