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

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

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20 of 20 papers shown

#	Title	Journal	Authors	Indexed citations
1	Diatomaceous cross-species constructs for tendon-to-bone regeneration	Materials Today	Lin Du, Jinfu Wu et al.	0
2	Enhancing the black truffle polysaccharide extraction efficiency using a combination of natural deep eutectic solvents and ultrasound-assisted techniques	Journal of Food Measurement & Characterization	Yi Wu, Guang-Zhen Yang et al.	2
3	A bioactive calcium silicate nanowire-containing hydrogel for organoid formation and functionalization	Materials Horizons	Wenping Ma, Guang-Zhen Yang et al.	12
4	Ultrasound-assisted green and efficient extraction of polysaccharides from Chlorella vulgaris using deep eutectic solvents and improving their performance	New Journal of Chemistry	Beibei Lü, Guang-Zhen Yang et al.	5
5	Black bioceramic scaffolds with micro/nano surface structure inducing mild hyperthermal environment for regenerating osteochondral defects	Nano Today	Guang-Zhen Yang, Qin Chen et al.	5
6	Gankyrin has an antioxidative role through the feedback regulation of Nrf2 in hepatocellular carcinoma	The Journal of Cell Biology	Chun Yang, Yexiong Tan et al.	1
7	Downregulation of DHRS9 expression in colorectal cancer tissues and its prognostic significance	Tumor Biology	Liang Hu, Haiyang Chen et al.	13
8	Upregulation of NETO2 expression correlates with tumor progression and poor prognosis in colorectal carcinoma	BMC Cancer	Liang Hu, Haiyang Chen et al.	23
9	Serine threonine tyrosine kinase 1 is a potential prognostic marker in colorectal cancer	BMC Cancer	Liang Hu, Haiyang Chen et al.	19
10	Prognostic value of carbonic anhydrase VII expression in colorectal carcinoma	BMC Cancer	Guang-Zhen Yang, Liang Hu et al.	25
11	FAT4 functions as a tumour suppressor in gastric cancer by modulating Wnt/β-catenin signalling	British Journal of Cancer	Jian Cai, Dan Feng et al.	57
12	RMP predicts survival and adjuvant TACE response in hepatocellular carcinoma	Oncotarget	Jian Zhang, Tianyi Jiang et al.	10
13	The Prognostic Significance and Therapeutic Potential of Hedgehog Signaling in Intrahepatic Cholangiocellular Carcinoma	Clinical Cancer Research	Liang Tang, Yexiong Tan et al.	51
14	Signal regulatory protein α negatively regulates mast‐cell activation following FcεRI aggregation	European Journal of Immunology	Yufei Pan, Liwei Dong et al.	4
15	HBx Sensitizes Cells to Oxidative Stress-induced Apoptosis by Accelerating the Loss of Mcl-1 Protein via Caspase-3 Cascade	Molecular Cancer	Liang Hu, Lei Chen et al.	50
16	Hepatitis B Virus X Protein Enhances Cisplatin-Induced Hepatotoxicity via a Mechanism Involving Degradation of Mcl-1	Journal of Virology	Liang Hu, Lei Chen et al.	26
17	The oncoprotein p28GANK establishes a positive feedback loop in β-catenin signaling	Cell Research	Liwei Dong, Guang-Zhen Yang et al.	39
18	Inhibition of active autophagy induces apoptosis and increases chemosensitivity in cholangiocarcinoma	Laboratory Investigation	Liwei Dong, Yexiong Tan et al.	58
19	p28GANK inhibits endoplasmic reticulum stress-induced cell death via enhancement of the endoplasmic reticulum adaptive capacity	Cell Research	Rongyang Dai, Yao Chen et al.	23
20	The Research in UHMWPE Single Screw Extruding Process Theory	Gaofenzi cailiao kexue yu gongcheng	Guang-Zhen Yang	1

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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