Ya–Chen Yang

1.4k total citations
56 papers, 1.2k citations indexed

About

Ya–Chen Yang is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Ya–Chen Yang has authored 56 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 14 papers in Oncology and 10 papers in Cancer Research. Recurrent topics in Ya–Chen Yang's work include Andrographolide Research and Applications (8 papers), Protease and Inhibitor Mechanisms (7 papers) and Peptidase Inhibition and Analysis (5 papers). Ya–Chen Yang is often cited by papers focused on Andrographolide Research and Applications (8 papers), Protease and Inhibitor Mechanisms (7 papers) and Peptidase Inhibition and Analysis (5 papers). Ya–Chen Yang collaborates with scholars based in Taiwan, United States and China. Ya–Chen Yang's co-authors include Haw‐Wen Chen, Chong‐Kuei Lii, Chien‐Chun Li, Kai‐Li Liu, Chia‐Yang Lu, Jian Yan, Ai‐Hsuan Lin, Ming W. Chou, Daniel R. Doerge and Peter P. Fu and has published in prestigious journals such as Free Radical Biology and Medicine, International Journal of Molecular Sciences and Biochemical Pharmacology.

In The Last Decade

Ya–Chen Yang

53 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ya–Chen Yang Taiwan 17 642 182 151 109 99 56 1.2k
Liwei Liu China 16 413 0.6× 75 0.4× 86 0.6× 49 0.4× 56 0.6× 58 886
Cristina Nencini Italy 16 364 0.6× 117 0.6× 67 0.4× 63 0.6× 90 0.9× 36 1.3k
Eugenia Mata‐Greenwood United States 22 710 1.1× 60 0.3× 74 0.5× 37 0.3× 231 2.3× 44 1.9k
Stacey L. Dial United States 21 544 0.8× 198 1.1× 80 0.5× 19 0.2× 33 0.3× 27 1.3k
Sebastiaan Wesseling Netherlands 20 399 0.6× 161 0.9× 24 0.2× 82 0.8× 20 0.2× 61 1.2k
Yun-Ping Lim Taiwan 23 444 0.7× 290 1.6× 57 0.4× 13 0.1× 82 0.8× 61 1.2k
Sharda P. Singh United States 24 1.3k 1.9× 135 0.7× 32 0.2× 20 0.2× 102 1.0× 67 2.1k
Klaus‐Peter Adam Germany 19 1.2k 1.8× 124 0.7× 38 0.3× 130 1.2× 30 0.3× 35 1.8k
Yuanfeng Wu United States 16 260 0.4× 165 0.9× 83 0.5× 47 0.4× 39 0.4× 22 725
Hemanth Kumar Kandikattu United States 21 336 0.5× 106 0.6× 285 1.9× 17 0.2× 23 0.2× 67 1.3k

Countries citing papers authored by Ya–Chen Yang

Since Specialization
Citations

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

Fields of papers citing papers by Ya–Chen Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ya–Chen 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 Ya–Chen Yang. The network helps show where Ya–Chen Yang may publish in the future.

Co-authorship network of co-authors of Ya–Chen Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Ya–Chen Yang. A scholar is included among the top collaborators of Ya–Chen 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 Ya–Chen Yang. Ya–Chen 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.
Yeh, Shu-Lan, Jiunn‐Wang Liao, Ren‐Yeong Huang, et al.. (2025). The Protective Effects of Perch Essence Against Muscle Atrophy in Cancer Cachexia and Cisplatin Treatment. Current Issues in Molecular Biology. 47(3). 152–152.
2.
Shen, Te‐Chun, Ya–Chen Yang, Chia-Wen Tsai, et al.. (2025). Significant Contributions of Interleukin-13 Genotypes to Asthma Severity. In Vivo. 39(5). 2562–2572.
3.
Kuo, Chien‐Chung, Mei‐Chin Mong, Ya–Chen Yang, et al.. (2024). Impacts of Methylenetetrahydrofolate Reductase Genotypes on Hallux Valgus. In Vivo. 39(1). 172–179.
4.
5.
Chang, Wen-Shin, Mei‐Chin Mong, Ya–Chen Yang, et al.. (2024). Contribution of Matrix Metalloproteinase-2 and Matrix Metalloproteinase-9 to Upper Tract Urothelial Cancer Risk in Taiwan. Life. 14(7). 801–801. 1 indexed citations
6.
Deng, Yang, Tao‐Wei Ke, Mei‐Chin Mong, et al.. (2023). Impact of Matrix Metalloproteinase-8 Genotypes on Colorectal Cancer Risk in Taiwan. Anticancer Research. 43(9). 3979–3985. 4 indexed citations
7.
Deng, Yang, Tao‐Wei Ke, Mei‐Chin Mong, et al.. (2023). The Contribution of DNA Ligase 4 Polymorphisms to Colorectal Cancer. In Vivo. 38(1). 127–133. 3 indexed citations
8.
Yang, Ya–Chen, Te‐Chun Shen, Chia-Wen Tsai, et al.. (2023). The Association of DNA Ligase 1 Rs20579 Polymorphism With Lung Cancer Risk Among Taiwanese. In Vivo. 37(4). 1504–1510. 3 indexed citations
9.
Li, Chien‐Chun, Kai‐Li Liu, Chong‐Kuei Lii, et al.. (2023). Benzyl isothiocyanate inhibits TNFα-driven lipolysis via suppression of the ERK/PKA/HSL signaling pathway in 3T3-L1 adipocytes. Nutrition Research. 121. 95–107. 2 indexed citations
10.
Tsai, Chia-Wen, WEN-SHIN CHANG, Mei‐Due Yang, et al.. (2023). The Significant Impacts of Interleukin-8 Genotypes on the Risk of Colorectal Cancer in Taiwan. Cancers. 15(20). 4921–4921. 2 indexed citations
11.
Hsu, Pei‐Chen, Ya–Chen Yang, WEN-SHIN CHANG, et al.. (2023). Interleukin-8Rs4073 Genotypes as Prognostic Predictors for Childhood Acute Lymphocytic Leukemia. Anticancer Research. 43(12). 5359–5366. 2 indexed citations
12.
Lin, Yu‐Hsin, Wen‐Chin Huang, Mei‐Chin Mong, et al.. (2023). Impacts of Matrix Metalloproteinase 9 Genotypes on Renal Cell Carcinoma. In Vivo. 37(6). 2452–2458. 5 indexed citations
13.
Tsai, Chia‐Wen, Ming-Hsien Wu, Mei‐Chin Mong, et al.. (2022). The Contribution of Matrix Metalloproteinase-7 Promoter Genotypes to Hepatocellular Carcinoma Susceptibility. Anticancer Research. 42(11). 5275–5282. 4 indexed citations
14.
Li, Chia-Hsiang, Ya–Chen Yang, Te‐Chun Hsia, et al.. (2022). Association ofInterleukin-8Promoter Genotypes With Taiwan Lung Cancer Risk. Anticancer Research. 42(3). 1229–1236. 11 indexed citations
15.
Hsu, Pei‐Chen, Chao‐Chun Chen, Ya–Chen Yang, et al.. (2022). Contribution of Cyclin-dependent Kinase Inhibitor 1B Genotypes to Childhood Leukemia Risk. In Vivo. 36(4). 1637–1642. 6 indexed citations
16.
Mong, Mei‐Chin, CHIEN-CHIH YU, Mei‐Due Yang, et al.. (2022). Association of Matrix Metallopeptidase-2 Genotypes With Risk of Gastric Cancer in Taiwan. Anticancer Research. 42(4). 1749–1755. 9 indexed citations
17.
Yan, Sheng‐Lei, Zhihong Wang, Mei‐Chin Mong, Ya–Chen Yang, & Mei‐chin Yin. (2019). Combination of carnosine and asiatic acid provided greater anti-inflammatory protection for HUVE cells and diabetic mice than individual treatments of carnosine or asiatic acid alone. Food and Chemical Toxicology. 126. 192–198. 9 indexed citations
18.
Lii, Chong‐Kuei, Ai‐Hsuan Lin, Chien‐Chun Li, et al.. (2019). Docosahexaenoic acid inhibits TNFα-induced ICAM-1 expression by activating PPARα and autophagy in human endothelial cells. Food and Chemical Toxicology. 134. 110811–110811. 14 indexed citations
19.
Weng, Li‐Chueh, Ya–Chen Yang, Hsiu‐Li Huang, Yang‐Jen Chiang, & Yu‐Hsia Tsai. (2016). Factors that determine self‐reported immunosuppressant adherence in kidney transplant recipients: a correlational study. Journal of Advanced Nursing. 73(1). 228–239. 29 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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