Guang-Zhen Yang

647 total citations
22 papers, 501 citations indexed

About

Guang-Zhen Yang is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Guang-Zhen Yang has authored 22 papers receiving a total of 501 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 4 papers in Oncology and 4 papers in Cancer Research. Recurrent topics in Guang-Zhen Yang's work include Cancer, Lipids, and Metabolism (3 papers), Bone Tissue Engineering Materials (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). Guang-Zhen Yang is often cited by papers focused on Cancer, Lipids, and Metabolism (3 papers), Bone Tissue Engineering Materials (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). Guang-Zhen Yang collaborates with scholars based in China and Germany. Guang-Zhen Yang's co-authors include Liwei Dong, Hongyang Wang, Yexiong Tan, Yufei Pan, Liang Hu, Dan Feng, Jian Cai, Chunfang Gao, Haiyang Chen and Liang Tang and has published in prestigious journals such as The Journal of Experimental Medicine, The Journal of Cell Biology and Journal of Virology.

In The Last Decade

Guang-Zhen Yang

21 papers receiving 492 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guang-Zhen Yang China 13 311 127 107 105 79 22 501
Changku Jia China 10 238 0.8× 91 0.7× 73 0.7× 115 1.1× 36 0.5× 22 427
Leilei Niu China 12 425 1.4× 215 1.7× 55 0.5× 106 1.0× 34 0.4× 21 602
Yongjian Gao China 16 406 1.3× 287 2.3× 94 0.9× 72 0.7× 112 1.4× 39 685
Jinggang Mo China 13 246 0.8× 178 1.4× 60 0.6× 87 0.8× 51 0.6× 36 516
Zhaowei Zou China 11 283 0.9× 148 1.2× 44 0.4× 78 0.7× 50 0.6× 20 454
Lu Hao China 13 321 1.0× 123 1.0× 30 0.3× 131 1.2× 63 0.8× 50 548
Levi Arnold United States 6 274 0.9× 153 1.2× 104 1.0× 141 1.3× 22 0.3× 13 427
Kunito Kawasaki Japan 7 191 0.6× 50 0.4× 111 1.0× 67 0.6× 41 0.5× 8 462
Qian Qiao China 12 239 0.8× 53 0.4× 74 0.7× 66 0.6× 24 0.3× 25 439

Countries citing papers authored by Guang-Zhen Yang

Since Specialization
Citations

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

Fields of papers citing papers by Guang-Zhen Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guang-Zhen 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 Guang-Zhen Yang. The network helps show where Guang-Zhen Yang may publish in the future.

Co-authorship network of co-authors of Guang-Zhen Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Guang-Zhen Yang. A scholar is included among the top collaborators of Guang-Zhen 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 Guang-Zhen Yang. Guang-Zhen 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.
Du, Lin, Jinfu Wu, Hongjian Zhang, et al.. (2025). Diatomaceous cross-species constructs for tendon-to-bone regeneration. Materials Today. 83. 64–84.
2.
Wu, Yi, Guang-Zhen Yang, Yifan Chen, et al.. (2025). Enhancing the black truffle polysaccharide extraction efficiency using a combination of natural deep eutectic solvents and ultrasound-assisted techniques. Journal of Food Measurement & Characterization. 19(4). 2208–2219. 2 indexed citations
3.
Ma, Wenping, Guang-Zhen Yang, Hongjian Zhang, et al.. (2024). A bioactive calcium silicate nanowire-containing hydrogel for organoid formation and functionalization. Materials Horizons. 11(12). 2957–2973. 12 indexed citations
5.
Yang, Guang-Zhen, Qin Chen, Junfeng Chen, et al.. (2024). Black bioceramic scaffolds with micro/nano surface structure inducing mild hyperthermal environment for regenerating osteochondral defects. Nano Today. 57. 102387–102387. 5 indexed citations
6.
Yang, Chun, Yexiong Tan, Guang-Zhen Yang, et al.. (2016). Gankyrin has an antioxidative role through the feedback regulation of Nrf2 in hepatocellular carcinoma. The Journal of Cell Biology. 213(2). 2132OIA86–2132OIA86. 1 indexed citations
7.
Hu, Liang, Haiyang Chen, Tao Han, et al.. (2015). Downregulation of DHRS9 expression in colorectal cancer tissues and its prognostic significance. Tumor Biology. 37(1). 837–845. 13 indexed citations
8.
Hu, Liang, Haiyang Chen, Jian Cai, et al.. (2015). Upregulation of NETO2 expression correlates with tumor progression and poor prognosis in colorectal carcinoma. BMC Cancer. 15(1). 1006–1006. 23 indexed citations
9.
Hu, Liang, Haiyang Chen, Jian Cai, et al.. (2015). Serine threonine tyrosine kinase 1 is a potential prognostic marker in colorectal cancer. BMC Cancer. 15(1). 246–246. 19 indexed citations
10.
Yang, Guang-Zhen, Liang Hu, Jian Cai, et al.. (2015). Prognostic value of carbonic anhydrase VII expression in colorectal carcinoma. BMC Cancer. 15(1). 209–209. 25 indexed citations
11.
Cai, Jian, Dan Feng, Liang Hu, et al.. (2015). FAT4 functions as a tumour suppressor in gastric cancer by modulating Wnt/β-catenin signalling. British Journal of Cancer. 113(12). 1720–1729. 57 indexed citations
12.
Zhang, Jian, Tianyi Jiang, Bei‐Ge Jiang, et al.. (2014). RMP predicts survival and adjuvant TACE response in hepatocellular carcinoma. Oncotarget. 6(5). 3432–3442. 10 indexed citations
13.
Tang, Liang, Yexiong Tan, Bei‐Ge Jiang, et al.. (2013). The Prognostic Significance and Therapeutic Potential of Hedgehog Signaling in Intrahepatic Cholangiocellular Carcinoma. Clinical Cancer Research. 19(8). 2014–2024. 51 indexed citations
14.
Pan, Yufei, Liwei Dong, Min Wang, et al.. (2013). Signal regulatory protein α negatively regulates mast‐cell activation following FcεRI aggregation. European Journal of Immunology. 43(6). 1598–1607. 4 indexed citations
15.
Hu, Liang, Lei Chen, Guang-Zhen Yang, et al.. (2011). HBx Sensitizes Cells to Oxidative Stress-induced Apoptosis by Accelerating the Loss of Mcl-1 Protein via Caspase-3 Cascade. Molecular Cancer. 10(1). 43–43. 50 indexed citations
16.
Hu, Liang, Lei Chen, Li Liang, et al.. (2011). Hepatitis B Virus X Protein Enhances Cisplatin-Induced Hepatotoxicity via a Mechanism Involving Degradation of Mcl-1. Journal of Virology. 85(7). 3214–3228. 26 indexed citations
17.
Dong, Liwei, Guang-Zhen Yang, Yufei Pan, et al.. (2011). The oncoprotein p28GANK establishes a positive feedback loop in β-catenin signaling. Cell Research. 21(8). 1248–1261. 39 indexed citations
18.
Dong, Liwei, Yexiong Tan, Guang-Zhen Yang, et al.. (2011). Inhibition of active autophagy induces apoptosis and increases chemosensitivity in cholangiocarcinoma. Laboratory Investigation. 91(8). 1146–1157. 58 indexed citations
19.
Dai, Rongyang, Yao Chen, Jing Fu, et al.. (2009). p28GANK inhibits endoplasmic reticulum stress-induced cell death via enhancement of the endoplasmic reticulum adaptive capacity. Cell Research. 19(11). 1243–1257. 23 indexed citations
20.
Yang, Guang-Zhen. (2007). The Research in UHMWPE Single Screw Extruding Process Theory. Gaofenzi cailiao kexue yu gongcheng. 1 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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