Dahye Yoon

1.4k total citations
93 papers, 1.1k citations indexed

About

Dahye Yoon is a scholar working on Molecular Biology, Nutrition and Dietetics and Plant Science. According to data from OpenAlex, Dahye Yoon has authored 93 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Molecular Biology, 15 papers in Nutrition and Dietetics and 15 papers in Plant Science. Recurrent topics in Dahye Yoon's work include Metabolomics and Mass Spectrometry Studies (25 papers), Ginseng Biological Effects and Applications (16 papers) and Biochemical Analysis and Sensing Techniques (13 papers). Dahye Yoon is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (25 papers), Ginseng Biological Effects and Applications (16 papers) and Biochemical Analysis and Sensing Techniques (13 papers). Dahye Yoon collaborates with scholars based in South Korea, United States and China. Dahye Yoon's co-authors include Suhkmann Kim, Dae‐Young Lee, Young‐Seob Lee, Nivedita Chatterjee, Jinhee Choi, Geum‐Soog Kim, Siwon Kim, Nam‐In Baek, Heui‐Soo Kim and Do‐Hyung Kim and has published in prestigious journals such as PLoS ONE, Biomaterials and Scientific Reports.

In The Last Decade

Dahye Yoon

86 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dahye Yoon South Korea 19 532 111 109 98 97 93 1.1k
Liwen Han China 22 536 1.0× 172 1.5× 35 0.3× 102 1.0× 140 1.4× 75 1.2k
Erwei Hao China 21 432 0.8× 105 0.9× 60 0.6× 88 0.9× 185 1.9× 103 1.2k
Tarek M. Mohamed Egypt 21 379 0.7× 40 0.4× 125 1.1× 57 0.6× 163 1.7× 114 1.2k
Neil Loftus United Kingdom 11 752 1.4× 33 0.3× 72 0.7× 46 0.5× 185 1.9× 16 1.2k
Zhiguo Liu China 23 515 1.0× 34 0.3× 136 1.2× 51 0.5× 120 1.2× 84 1.3k
Ran Yin United States 24 724 1.4× 36 0.3× 129 1.2× 79 0.8× 329 3.4× 48 1.5k
JI Yu-bin China 19 539 1.0× 45 0.4× 77 0.7× 82 0.8× 185 1.9× 96 1.2k
Qiuxia He China 20 582 1.1× 179 1.6× 22 0.2× 90 0.9× 184 1.9× 61 1.2k
B. Haridevamuthu India 17 171 0.3× 126 1.1× 37 0.3× 119 1.2× 70 0.7× 52 787
Diadelis Remírez Cuba 14 495 0.9× 47 0.4× 118 1.1× 72 0.7× 183 1.9× 28 1.6k

Countries citing papers authored by Dahye Yoon

Since Specialization
Citations

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

Fields of papers citing papers by Dahye Yoon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dahye Yoon

This figure shows the co-authorship network connecting the top 25 collaborators of Dahye Yoon. A scholar is included among the top collaborators of Dahye Yoon 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 Dahye Yoon. Dahye Yoon 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.
2.
Kim, In S., Doo-Young Kim, Hyoung‐Geun Kim, et al.. (2024). Selection of chemical marker for Cnidii Rhizoma by Gyeongbuk production area and harvest time using UPLC-QTOF/MS and multivariate statistical analysis techniques. Journal of Applied Biological Chemistry. 67. 1 indexed citations
3.
Yoon, Dahye, Hee Jin Jung, Jieun Lee, et al.. (2024). In vitro and in vivo anti-pigmentation effects of 2-mercaptobenzimidazoles as nanomolar tyrosinase inhibitors on mammalian cells and zebrafish embryos: Preparation of pigment-free zebrafish embryos. European Journal of Medicinal Chemistry. 266. 116136–116136. 11 indexed citations
4.
Park, Yu Jung, Hee Jin Jung, Min Kyung Kang, et al.. (2024). Design, synthesis, and anti-melanogenic efficacy of 2-mercaptobenzoxazoles with nanomolar tyrosinase activity inhibition. Bioorganic & Medicinal Chemistry. 110. 117832–117832. 4 indexed citations
6.
Park, Yu Jung, Hee Jin Jung, Hye Jin Kim, et al.. (2023). Thiazol-4(5H)-one analogs as potent tyrosinase inhibitors: Synthesis, tyrosinase inhibition, antimelanogenic effect, antioxidant activity, and in silico docking simulation. Bioorganic & Medicinal Chemistry. 98. 117578–117578. 13 indexed citations
8.
9.
Lee, Hwan, Zhiming Liu, Dae‐Young Lee, et al.. (2023). Anti-Neuroinflammatory and Neuroprotective Effect of Intermedin B Isolated from the Curcuma longa L. via NF-κB and ROS Inhibition in BV2 Microglia and HT22 Hippocampal Cells. International Journal of Molecular Sciences. 24(8). 7390–7390. 4 indexed citations
10.
Jin, Hongguang, Kwan-Woo Kim, Jing Li, et al.. (2022). Anti-inflammatory components isolated from Atractylodes macrocephala in LPS-induced RAW264.7 macrophages and BV2 microglial cells. Applied Biological Chemistry. 65(1). 8 indexed citations
12.
Lee, Soo Yong, Tae Wook Lee, Gyu Tae Park, et al.. (2020). Sodium/glucose Co-Transporter 2 Inhibitor, Empagliflozin, Alleviated Transient Expression of SGLT2 after Myocardial Infarction. Korean Circulation Journal. 51(3). 251–251. 33 indexed citations
13.
Kim, Ahran, Won‐Ho Lee, Seonghye Kim, et al.. (2020). Vibrio harveyi Infection Significantly Alters Amino Acid and Carbohydrate Metabolism in Whiteleg Shrimp, Litopenaeus vannamei. Metabolites. 10(6). 265–265. 20 indexed citations
14.
Kim, Ye Jin, Dae‐Young Lee, Dahye Yoon, et al.. (2020). Serum Metabolic Profiling Reveals Potential Anti-Inflammatory Effects of the Intake of Black Ginseng Extracts in Beagle Dogs. Molecules. 25(16). 3759–3759. 7 indexed citations
15.
Jin, Hongguang, Kwan-Woo Kim, Jing Li, et al.. (2020). Atractylenoide II Isolated from Atractylodes macrocephala Inhibited Inflammatory Responses in Lipopolysaccharide-induced RAW264.7 Macrophages and BV2 Microglial Cells. Korean Journal of Pharmacognosy. 51(4). 244–254. 1 indexed citations
16.
Kim, Seonghye, Ahran Kim, Won‐Ho Lee, et al.. (2019). Glutathione Injection Alleviates the Fluctuation of Metabolic Response under Thermal Stress in Olive Flounder, Paralichthys olivaceus. Metabolites. 10(1). 3–3. 15 indexed citations
17.
Ganesan, Raja, et al.. (2017). 1H‐NMR‐based Metabolomics Studies of the Toxicity of Mesoporous Carbon Nanoparticles in Zebrafish (Danio rerio). Bulletin of the Korean Chemical Society. 38(2). 271–277. 15 indexed citations
18.
Jeong, Jaeseong, Nivedita Chatterjee, Carlos P. Roca, et al.. (2017). JAK/STAT and TGF-ß activation as potential adverse outcome pathway of TiO2NPs phototoxicity in Caenorhabditis elegans. Scientific Reports. 7(1). 17833–17833. 15 indexed citations
19.
Kim, Siwon, et al.. (2016). Metabolic responses in zebrafish (Danio rerio) exposed to zinc and cadmium by nuclear magnetic resonance -based metabolomics. Chemistry and Ecology. 32(2). 136–148. 19 indexed citations
20.
Chatterjee, Nivedita, Jisu Yang, Dahye Yoon, et al.. (2016). Differential crosstalk between global DNA methylation and metabolomics associated with cell type specific stress response by pristine and functionalized MWCNT. Biomaterials. 115. 167–180. 30 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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