Ji‐Yeon Yu

1.4k total citations
50 papers, 1.2k citations indexed

About

Ji‐Yeon Yu is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Ji‐Yeon Yu has authored 50 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 11 papers in Immunology and 8 papers in Oncology. Recurrent topics in Ji‐Yeon Yu's work include Bone Metabolism and Diseases (7 papers), Antiplatelet Therapy and Cardiovascular Diseases (5 papers) and Bone health and treatments (4 papers). Ji‐Yeon Yu is often cited by papers focused on Bone Metabolism and Diseases (7 papers), Antiplatelet Therapy and Cardiovascular Diseases (5 papers) and Bone health and treatments (4 papers). Ji‐Yeon Yu collaborates with scholars based in South Korea, United States and Japan. Ji‐Yeon Yu's co-authors include Jaerang Rho, Dulshara Sachini Amarasekara, Yeo‐Pyo Yun, Jeong‐Chae Lee, Young‐Ok Son, Xianglin Shi, Hwan‐Soo Yoo, Jin Tae Hong, Tack‐Joong Kim and Yong-Ri Jin and has published in prestigious journals such as Journal of Biological Chemistry, The EMBO Journal and The Journal of Immunology.

In The Last Decade

Ji‐Yeon Yu

48 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ji‐Yeon Yu South Korea 19 573 222 167 142 136 50 1.2k
Gaofeng Zeng China 21 578 1.0× 127 0.6× 178 1.1× 161 1.1× 98 0.7× 58 1.2k
Aihua Wang China 21 611 1.1× 173 0.8× 171 1.0× 137 1.0× 103 0.8× 102 1.3k
Chia‐Cheng Li Taiwan 26 552 1.0× 179 0.8× 94 0.6× 74 0.5× 124 0.9× 51 1.3k
Abdullah M. Alzahrani Saudi Arabia 21 387 0.7× 165 0.7× 107 0.6× 133 0.9× 122 0.9× 55 1.2k
Letian Shan China 21 639 1.1× 193 0.9× 93 0.6× 151 1.1× 105 0.8× 78 1.4k
Tingting Long China 18 350 0.6× 148 0.7× 157 0.9× 114 0.8× 136 1.0× 56 988
Hailian Wang China 24 541 0.9× 299 1.3× 114 0.7× 149 1.0× 62 0.5× 76 1.5k
Seongwon Choi South Korea 14 470 0.8× 292 1.3× 173 1.0× 181 1.3× 190 1.4× 19 1.2k
Ziling Wang China 20 736 1.3× 120 0.5× 213 1.3× 153 1.1× 137 1.0× 77 1.6k
Ghanshyam Upadhyay United States 16 395 0.7× 233 1.0× 82 0.5× 135 1.0× 153 1.1× 23 1.1k

Countries citing papers authored by Ji‐Yeon Yu

Since Specialization
Citations

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

Fields of papers citing papers by Ji‐Yeon Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ji‐Yeon Yu. 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 Ji‐Yeon Yu. The network helps show where Ji‐Yeon Yu may publish in the future.

Co-authorship network of co-authors of Ji‐Yeon Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Ji‐Yeon Yu. A scholar is included among the top collaborators of Ji‐Yeon Yu 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 Ji‐Yeon Yu. Ji‐Yeon Yu 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.
Park, Eui‐Soon, Nari Lee, Ji‐Yeon Yu, et al.. (2023). TDAG51 promotes transcription factor FoxO1 activity during LPS ‐induced inflammatory responses. The EMBO Journal. 42(13). e111867–e111867. 6 indexed citations
3.
Amarasekara, Dulshara Sachini, et al.. (2022). TDAG51 deficiency attenuates dextran sulfate sodium-induced colitis in mice. Scientific Reports. 12(1). 20619–20619. 5 indexed citations
4.
Walsh, Matthew C., et al.. (2020). Mice Lacking the Purinergic Receptor P2X5 Exhibit Defective Inflammasome Activation and Early Susceptibility to Listeria monocytogenes. The Journal of Immunology. 205(3). 760–766. 16 indexed citations
5.
Yun, Hyeongseok, Eui‐Soon Park, Seunga Choi, et al.. (2019). TDAG51 is a crucial regulator of maternal care and depressive-like behavior after parturition. PLoS Genetics. 15(6). e1008214–e1008214. 12 indexed citations
6.
Yun, Hyeongseok, Ji‐Yeon Yu, Sumi Kim, et al.. (2016). Expression and purification of biologically active recombinant human paraoxonase 1 from a Drosophila S2 stable cell line. Protein Expression and Purification. 131. 34–41. 8 indexed citations
7.
8.
Lu, Jia, Ji‐Yeon Yu, Young‐Ok Son, et al.. (2013). Cellular mechanisms of the cytotoxic effects of the zearalenone metabolites α-zearalenol and β-zearalenol on RAW264.7 macrophages. Toxicology in Vitro. 27(3). 1007–1017. 39 indexed citations
9.
Choi, Kyeong-Mi, Lee younsun, Seung-Jung Kim, et al.. (2013). Sulforaphane attenuates obesity by inhibiting adipogenesis and activating the AMPK pathway in obese mice. The Journal of Nutritional Biochemistry. 25(2). 201–207. 128 indexed citations
10.
Yu, Ji‐Yeon, Jung‐Jin Lee, Jae‐Kyung Jung, et al.. (2012). JJK694, a Synthesized Obovatol Derivative, Inhibits Platelet Activation by Suppressing Cyclooxygenase and Lipoxygenase Activities. Bioscience Biotechnology and Biochemistry. 76(11). 2038–2043. 2 indexed citations
11.
Yu, Ji‐Yeon, et al.. (2010). A phenolic acid phenethyl urea compound inhibits lipopolysaccharide-induced production of nitric oxide and pro-inflammatory cytokines in cell culture. International Immunopharmacology. 10(4). 526–532. 15 indexed citations
12.
Choi, Ki‐Choon, Jungkee Kwon, Yong‐Suk Jang, et al.. (2010). Chemoprevention of a flavonoid fraction from Rhus verniciflua Stokes on aflatoxin B1‐induced hepatic damage in mice. Journal of Applied Toxicology. 31(2). 150–156. 21 indexed citations
13.
Yu, Ji‐Yeon, Jihae Kim, Tae-Geum Kim, et al.. (2010). (E)-1-(3,4-Dihydroxyphenethyl)-3-Styrylurea Inhibits Proliferation of MCF-7 Cells through G1 Cell Cycle Arrest and Mitochondria-Mediated Apoptosis. Molecules and Cells. 30(4). 303–310. 7 indexed citations
14.
Choi, K.-C., et al.. (2010). Inhibitory effects of quercetin on aflatoxin B1-induced hepatic damage in mice. Food and Chemical Toxicology. 48(10). 2747–2753. 96 indexed citations
15.
Yu, Ji‐Yeon, Jung‐Jin Lee, Jae‐Kyung Jung, et al.. (2009). JY0691, a newly synthesized obovatol derivative, inhibits cell cycle progression of rat aortic smooth muscle cells through up-regulation of p21cip1. European Journal of Pharmacology. 624(1-3). 23–30. 8 indexed citations
16.
Lee, Jung‐Jin, Yong-Ri Jin, Ji‐Yeon Yu, et al.. (2009). Antithrombotic and antiplatelet activities of fenofibrate, a lipid-lowering drug. Atherosclerosis. 206(2). 375–382. 31 indexed citations
17.
Im, Ji‐Hyun, Yong-Ri Jin, Jung‐Jin Lee, et al.. (2008). Antiplatelet activity of β-carboline alkaloids from Perganum harmala: A possible mechanism through inhibiting PLCγ2 phosphorylation. Vascular Pharmacology. 50(5-6). 147–152. 38 indexed citations
18.
Lee, Jung‐Jin, Yong-Ri Jin, Ju‐Hyun Lee, et al.. (2007). Antiplatelet Activity of Carnosic Acid, a Phenolic Diterpene from Rosmarinus officinalis. Planta Medica. 73(2). 121–127. 40 indexed citations
19.
Kim, HyoungAh, et al.. (2003). Immunotoxicological Effects of Agent Orange Exposure to the Vietnam War Korean Veterans.. Industrial Health. 41(3). 158–166. 41 indexed citations
20.
Kim, Jae Hyun, et al.. (2002). Correlation between cellular localization of TEL/AML1 fusion protein and repression of AML1-mediated transactivation of CR1 gene. Biochemical and Biophysical Research Communications. 297(1). 91–95. 12 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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