Young‐Sil Yoon

1.5k total citations
12 papers, 1.3k citations indexed

About

Young‐Sil Yoon is a scholar working on Physiology, Molecular Biology and Epidemiology. According to data from OpenAlex, Young‐Sil Yoon has authored 12 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Physiology, 7 papers in Molecular Biology and 4 papers in Epidemiology. Recurrent topics in Young‐Sil Yoon's work include Telomeres, Telomerase, and Senescence (5 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers) and Mitochondrial Function and Pathology (3 papers). Young‐Sil Yoon is often cited by papers focused on Telomeres, Telomerase, and Senescence (5 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers) and Mitochondrial Function and Pathology (3 papers). Young‐Sil Yoon collaborates with scholars based in South Korea, United States and Japan. Young‐Sil Yoon's co-authors include Gyesoon Yoon, Jae‐Ho Lee, Marc Montminy, Hyo‐Jung Choo, Chang Seok Lee, Susan Hedrick, Bing Luan, John Le Lay, Klaus H. Kaestner and In Kyoung Lim and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Hepatology.

In The Last Decade

Young‐Sil Yoon

12 papers receiving 1.3k citations

Peers

Young‐Sil Yoon
Sung-Jun Park United States
Zhu‐Qin Zhang China
Russell S. Whelan United States
Phillip H. Pekala United States
Reiko Matsui United States
Qinglin Yang United States
Raquel Fucho Spain
Eric Holle United States
Christophe Montessuit Switzerland
Ali Javaheri United States
Sung-Jun Park United States
Young‐Sil Yoon
Citations per year, relative to Young‐Sil Yoon Young‐Sil Yoon (= 1×) peers Sung-Jun Park

Countries citing papers authored by Young‐Sil Yoon

Since Specialization
Citations

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

Fields of papers citing papers by Young‐Sil Yoon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Young‐Sil Yoon

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

All Works

12 of 12 papers shown
1.
Yoon, Young‐Sil, Weiyi Liu, Sam Van de Velde, et al.. (2021). Activation of the adipocyte CREB/CRTC pathway in obesity. Communications Biology. 4(1). 1214–1214. 25 indexed citations
2.
Yoon, Young‐Sil, Wen‐Wei Tsai, Sam Van de Velde, et al.. (2018). cAMP-inducible coactivator CRTC3 attenuates brown adipose tissue thermogenesis. Proceedings of the National Academy of Sciences. 115(23). E5289–E5297. 25 indexed citations
3.
Lee, Young‐Kyoung, Byul A Jee, So Mee Kwon, et al.. (2015). Identification of a mitochondrial defect gene signature reveals NUPR1 as a key regulator of liver cancer progression. Hepatology. 62(4). 1174–1189. 51 indexed citations
4.
Luan, Bing, Young‐Sil Yoon, John Le Lay, et al.. (2015). CREB pathway links PGE2 signaling with macrophage polarization. Proceedings of the National Academy of Sciences. 112(51). 15642–15647. 218 indexed citations
5.
Ryu, Seong Yeol, Young‐Sil Yoon, Dae‐Hyun Hahm, et al.. (2010). Asarone inhibits adipogenesis and stimulates lipolysis in 3T3-L1 adipocytes.. PubMed. 56 Suppl. OL1215–22. 17 indexed citations
6.
Lee, Joong‐Won, Chang Seok Lee, Hyo‐Jung Choo, et al.. (2006). Oxidation–reduction respiratory chains and ATP synthase complex are localized in detergent‐resistant lipid rafts. PROTEOMICS. 6(8). 2444–2453. 77 indexed citations
7.
Yoon, Young‐Sil, In Kyoung Lim, Soo‐Han Yoon, et al.. (2006). Formation of elongated giant mitochondria in DFO‐induced cellular senescence: Involvement of enhanced fusion process through modulation of Fis1. Journal of Cellular Physiology. 209(2). 468–480. 235 indexed citations
8.
Choo, Hyo‐Jung, J.-H. Kim, Chang Seok Lee, et al.. (2006). Mitochondria are impaired in the adipocytes of type 2 diabetic mice. Diabetologia. 49(4). 784–791. 301 indexed citations
9.
Yoon, Young‐Sil, Jae‐Ho Lee, Sung Chul Hwang, Kyeong Sook Choi, & Gyesoon Yoon. (2005). TGF β1 induces prolonged mitochondrial ROS generation through decreased complex IV activity with senescent arrest in Mv1Lu cells. Oncogene. 24(11). 1895–1903. 165 indexed citations
10.
Yoon, Young‐Sil, Hyeseong Cho, Jae‐Ho Lee, & Gyesoon Yoon. (2004). Mitochondrial Dysfunction via Disruption of Complex II Activity during Iron Chelation—Induced Senescence‐like Growth Arrest of Chang Cells. Annals of the New York Academy of Sciences. 1011(1). 123–132. 20 indexed citations
11.
12.
Yoon, Gyesoon, Hyun Jung Kim, Young‐Sil Yoon, et al.. (2002). Iron chelation-induced senescence-like growth arrest in hepatocyte cell lines: association of transforming growth factor β1 (TGF-β1)-mediated p27Kip1 expression. Biochemical Journal. 366(2). 613–621. 64 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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