Yu-Hsia Kuo

439 total citations
8 papers, 378 citations indexed

About

Yu-Hsia Kuo is a scholar working on Molecular Biology, Ophthalmology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Yu-Hsia Kuo has authored 8 papers receiving a total of 378 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Ophthalmology and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Yu-Hsia Kuo's work include Wnt/β-catenin signaling in development and cancer (3 papers), Retinal Diseases and Treatments (2 papers) and Advanced Glycation End Products research (2 papers). Yu-Hsia Kuo is often cited by papers focused on Wnt/β-catenin signaling in development and cancer (3 papers), Retinal Diseases and Treatments (2 papers) and Advanced Glycation End Products research (2 papers). Yu-Hsia Kuo collaborates with scholars based in Taiwan and United States. Yu-Hsia Kuo's co-authors include Chun‐Liang Lin, Feng‐Sheng Wang, Yu‐Ting Huang, Jeng‐Yi Wang, Kameswaran Surendran, Jih‐Yang Ko, Hsi‐Kung Kuo, Pei‐Chang Wu, I-Hui Yang and Hsiu‐Mei Huang and has published in prestigious journals such as Scientific Reports, Endocrinology and Journal of the American Society of Nephrology.

In The Last Decade

Yu-Hsia Kuo

8 papers receiving 374 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu-Hsia Kuo Taiwan 7 229 99 59 45 37 8 378
N. Yevdokimova Ukraine 7 259 1.1× 95 1.0× 28 0.5× 40 0.9× 38 1.0× 11 385
Nicole A.M. Verhagen Netherlands 11 203 0.9× 187 1.9× 56 0.9× 51 1.1× 40 1.1× 12 494
Birgit Hausknecht Germany 8 132 0.6× 144 1.5× 44 0.7× 39 0.9× 28 0.8× 10 390
Yoshikata Morita Japan 8 143 0.6× 119 1.2× 91 1.5× 44 1.0× 50 1.4× 16 480
Jianglei Chen United States 10 157 0.7× 73 0.7× 25 0.4× 21 0.5× 13 0.4× 15 359
Sayu Omori Japan 11 298 1.3× 147 1.5× 37 0.6× 48 1.1× 38 1.0× 16 500
Tillmann Bork Germany 8 162 0.7× 162 1.6× 53 0.9× 42 0.9× 21 0.6× 10 450
Houyong Dai China 11 147 0.6× 107 1.1× 47 0.8× 15 0.3× 32 0.9× 20 342
Kochi Kakimoto Japan 10 103 0.4× 58 0.6× 57 1.0× 16 0.4× 72 1.9× 18 348
Barbara Lewko Poland 13 121 0.5× 191 1.9× 69 1.2× 25 0.6× 51 1.4× 25 420

Countries citing papers authored by Yu-Hsia Kuo

Since Specialization
Citations

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

Fields of papers citing papers by Yu-Hsia Kuo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu-Hsia Kuo. 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 Yu-Hsia Kuo. The network helps show where Yu-Hsia Kuo may publish in the future.

Co-authorship network of co-authors of Yu-Hsia Kuo

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

All Works

8 of 8 papers shown
1.
Lin, Chun‐Yu, Chung‐Yuan Hsu, Shang‐Hung Lin, et al.. (2022). Gut microbiota differences between psoriatic arthritis and other undifferentiated arthritis: A pilot study. Medicine. 101(28). e29870–e29870. 12 indexed citations
2.
Yang, I-Hui, Jong‐Jer Lee, Pei‐Chang Wu, et al.. (2020). Oxidative stress enhanced the transforming growth factor-β2-induced epithelial-mesenchymal transition through chemokine ligand 1 on ARPE-19 cell. Scientific Reports. 10(1). 4000–4000. 27 indexed citations
3.
Huang, Ying‐Hsien, Kuang‐Den Chen, Mao‐Hung Lo, et al.. (2019). Decreased DNA methyltransferases expression is associated with coronary artery lesion formation in Kawasaki disease. International Journal of Medical Sciences. 16(4). 576–582. 18 indexed citations
4.
Kuo, Hsi‐Kung, et al.. (2017). Evaluation of the Effect of Everolimus on Retinal Pigment Epithelial Cells and Experimental Proliferative Vitreoretinopathy. Current Eye Research. 43(3). 333–339. 4 indexed citations
5.
Kuo, Hsi‐Kung, Yi‐Hao Chen, Pei‐Chang Wu, & Yu-Hsia Kuo. (2015). The Effects of Ozurdex® (Dexamethasone Intravitreal Implant) on Experimental Proliferative Vitreoretinopathy. Ophthalmologica. 233(3-4). 198–203. 15 indexed citations
6.
Lin, Chun‐Liang, Jeng‐Yi Wang, Jih‐Yang Ko, et al.. (2009). Dickkopf-1 Promotes Hyperglycemia–Induced Accumulation of Mesangial Matrix and Renal Dysfunction. Journal of the American Society of Nephrology. 21(1). 124–135. 88 indexed citations
7.
Lin, Chun‐Liang, Jeng‐Yi Wang, Jih‐Yang Ko, et al.. (2008). Superoxide Destabilization of β-Catenin Augments Apoptosis of High-Glucose-Stressed Mesangial Cells. Endocrinology. 149(6). 2934–2942. 44 indexed citations
8.
Lin, Chun‐Liang, Jeng‐Yi Wang, Yu‐Ting Huang, et al.. (2006). Wnt/β-Catenin Signaling Modulates Survival of High Glucose–Stressed Mesangial Cells. Journal of the American Society of Nephrology. 17(10). 2812–2820. 170 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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