Yu‐Lin Yang

1.5k total citations
63 papers, 1.2k citations indexed

About

Yu‐Lin Yang is a scholar working on Molecular Biology, Nephrology and Surgery. According to data from OpenAlex, Yu‐Lin Yang has authored 63 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 17 papers in Nephrology and 8 papers in Surgery. Recurrent topics in Yu‐Lin Yang's work include Chronic Kidney Disease and Diabetes (16 papers), TGF-β signaling in diseases (11 papers) and Advanced Glycation End Products research (8 papers). Yu‐Lin Yang is often cited by papers focused on Chronic Kidney Disease and Diabetes (16 papers), TGF-β signaling in diseases (11 papers) and Advanced Glycation End Products research (8 papers). Yu‐Lin Yang collaborates with scholars based in Taiwan, China and United States. Yu‐Lin Yang's co-authors include Lea‐Yea Chuang, Jinn‐Yuh Guh, Jau‐Shyang Huang, Tung‐Nan Liao, Shufen Liu, Tao‐Chen Lee, Hung‐Chun Chen, Tai‐An Chiang, Pei‐Fang Hsieh and Xue Zhang and has published in prestigious journals such as Nature Communications, Bioinformatics and PLoS ONE.

In The Last Decade

Yu‐Lin Yang

61 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
Yu‐Lin Yang Taiwan 22 595 205 131 98 95 63 1.2k
Guangyu Zhou China 19 811 1.4× 165 0.8× 117 0.9× 89 0.9× 76 0.8× 51 1.3k
Peggy Roestenberg Netherlands 14 845 1.4× 152 0.7× 167 1.3× 87 0.9× 45 0.5× 14 1.3k
Jiuyao Zhou China 26 610 1.0× 377 1.8× 71 0.5× 66 0.7× 71 0.7× 58 1.4k
Ye Jia China 21 804 1.4× 194 0.9× 63 0.5× 131 1.3× 60 0.6× 36 1.3k
Christoph Sauvant Germany 23 653 1.1× 261 1.3× 225 1.7× 115 1.2× 89 0.9× 36 1.6k
Qi Pang China 14 483 0.8× 133 0.6× 41 0.3× 120 1.2× 50 0.5× 45 904
Jie Hao China 22 544 0.9× 61 0.3× 69 0.5× 118 1.2× 79 0.8× 58 1.2k
S. Hasegawa Japan 19 317 0.5× 167 0.8× 133 1.0× 62 0.6× 110 1.2× 51 858
Xiubin Liang China 22 855 1.4× 268 1.3× 50 0.4× 120 1.2× 170 1.8× 62 1.5k
Hongmei Ren China 24 1.3k 2.1× 73 0.4× 121 0.9× 211 2.2× 92 1.0× 73 1.9k

Countries citing papers authored by Yu‐Lin Yang

Since Specialization
Citations

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

Fields of papers citing papers by Yu‐Lin Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu‐Lin Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Yu‐Lin Yang. A scholar is included among the top collaborators of Yu‐Lin Yang 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‐Lin Yang. Yu‐Lin Yang 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.
Shi, Heyuan, et al.. (2024). H3NI: Non-target-specific node injection attacks on hypergraph neural networks via genetic algorithm. Neurocomputing. 613. 128746–128746. 2 indexed citations
2.
Yao, Fangyi, Yu‐Lin Yang, Jing Liu, et al.. (2023). Molecular subtypes predict therapeutic responses and identifying and validating diagnostic signatures based on machine learning in chronic myeloid leukemia. Cancer Cell International. 23(1). 61–61. 7 indexed citations
3.
Hu, Pengjie, Hao Ding, Huimin Liu, et al.. (2022). Regulatory basis for reproductive flexibility in a meningitis-causing fungal pathogen. Nature Communications. 13(1). 7938–7938. 5 indexed citations
4.
Yao, Fangyi, Jing Liu, Haibin Zhang, et al.. (2022). Ferroptosis-related molecular patterns reveal immune escape, inflammatory development and lipid metabolism characteristics of the tumor microenvironment in acute myeloid leukemia. Frontiers in Oncology. 12. 888570–888570. 14 indexed citations
5.
Wu, Chun‐Hsien, Pei‐Fang Hsieh, Chih‐Hsin Hung, et al.. (2022). Nuclear Respiratory Factor 1 Overexpression Inhibits Proliferation and Migration of PC3 Prostate Cancer Cells. Cancer Genomics & Proteomics. 19(5). 614–623. 5 indexed citations
6.
Yang, Yu‐Lin, et al.. (2018). Induction of immune tolerance and altered cytokine expression in skin transplantation recipients. The Kaohsiung Journal of Medical Sciences. 34(6). 330–334. 2 indexed citations
8.
Zhang, Xue, et al.. (2017). Therapeutic effects of baicalein on rotenone-induced Parkinson’s disease through protecting mitochondrial function and biogenesis. Scientific Reports. 7(1). 9968–9968. 90 indexed citations
9.
Yang, Yu‐Lin. (2017). CRISPR/Cas9 genome editing and its broad applications in plant pathology and crop breeding. Phytopathology. 107(2). 13. 2 indexed citations
10.
Yang, Yu‐Lin, et al.. (2015). Water extract of Osmanthus fragrans attenuates TGF-β1-induced lung cellular fibrosis in human lung fibroblasts cells. Scholar Science Journals - International Journal of Biomedical Research. 5(8). 191–199. 2 indexed citations
11.
Chiou, Shean‐Jaw, et al.. (2013). Ubiquitin C-terminal hydrolase-L5 is required for high glucose-induced transforming growth factor-β receptor I expression and hypertrophy in mesangial cells. Archives of Biochemistry and Biophysics. 535(2). 177–186. 11 indexed citations
12.
Yang, Yu‐Lin, et al.. (2012). Critical role of NQO1 in ovarian cell injury: highly risk of ovarian carcinoma. 1(1). 1–9. 1 indexed citations
13.
Chen, Wei‐Ming, Shufen Liu, Tung‐Nan Liao, et al.. (2012). 20-Hydroxyecdysone attenuates TGF-β1-induced renal cellular fibrosis in proximal tubule cells. Journal of Diabetes and its Complications. 26(6). 463–469. 21 indexed citations
14.
Yang, Yu‐Lin, Shufen Liu, Tao‐Chen Lee, et al.. (2011). BMP‐2 suppresses renal interstitial fibrosis by regulating epithelial–mesenchymal transition. Journal of Cellular Biochemistry. 112(9). 2558–2565. 56 indexed citations
15.
Chiang, Tai‐An, Yu‐Lin Yang, Pei‐Fen Wu, et al.. (2010). Hyperosmolarity enhanced susceptibility to renal tubular fibrosis by modulating catabolism of type I transforming growth factor‐β receptors. Journal of Cellular Biochemistry. 109(4). 663–671. 8 indexed citations
16.
Guh, Jinn‐Yuh, Chi‐Ching Hwang, Shean‐Jaw Chiou, et al.. (2009). Advanced glycation end‐products activate extracellular signal‐regulated kinase via the oxidative stress‐EGF receptor pathway in renal fibroblasts. Journal of Cellular Biochemistry. 109(1). 38–48. 31 indexed citations
17.
Huang, Jau‐Shyang, et al.. (2008). Effect of taurine on advanced glycation end products-induced hypertrophy in renal tubular epithelial cells. Toxicology and Applied Pharmacology. 233(2). 220–226. 31 indexed citations
18.
Yang, Yu‐Lin, Yi‐Shiuan Liu, Tao‐Chen Lee, et al.. (2008). Safflower extract: A novel renal fibrosis antagonist that functions by suppressing autocrine TGF‐beta. Journal of Cellular Biochemistry. 104(3). 908–919. 16 indexed citations
19.
Chuang, Tsai‐Der, et al.. (2007). Phosphoinositide 3-kinase is required for high glucose-induced hypertrophy and p21WAF1 expression in LLC-PK1 cells. Kidney International. 71(9). 867–874. 18 indexed citations
20.
Huang, Jau‐Shyang, Lea‐Yea Chuang, Jinn‐Yuh Guh, et al.. (2005). Effect of Nitric Oxide-cGMP-Dependent Protein Kinase Activation on Advanced Glycation End-Product–Induced Proliferation in Renal Fibroblasts. Journal of the American Society of Nephrology. 16(8). 2318–2329. 38 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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