Guo‐Yu Yang

1.5k total citations
74 papers, 1.2k citations indexed

About

Guo‐Yu Yang is a scholar working on Epidemiology, Molecular Biology and Immunology. According to data from OpenAlex, Guo‐Yu Yang has authored 74 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Epidemiology, 25 papers in Molecular Biology and 17 papers in Immunology. Recurrent topics in Guo‐Yu Yang's work include Herpesvirus Infections and Treatments (16 papers), Animal Virus Infections Studies (11 papers) and interferon and immune responses (10 papers). Guo‐Yu Yang is often cited by papers focused on Herpesvirus Infections and Treatments (16 papers), Animal Virus Infections Studies (11 papers) and interferon and immune responses (10 papers). Guo‐Yu Yang collaborates with scholars based in China, United States and Thailand. Guo‐Yu Yang's co-authors include Bei‐Bei Chu, Jiang Wang, Sheng‐Li Ming, Lei Zeng, Puhui Xie, Ying-Qian Han, Fengqi Guo, Liqiang Han, Denghui Yao and Yueying Wang and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Virology and Scientific Reports.

In The Last Decade

Guo‐Yu Yang

70 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Guo‐Yu Yang China	23	392	264	212	157	153	74	1.2k
Bei‐Bei Chu China	23	446 1.1×	259 1.0×	201 0.9×	162 1.0×	43 0.3×	67	1.4k
Jan ten Hove Netherlands	10	530 1.4×	230 0.9×	213 1.0×	80 0.5×	168 1.1×	10	1.2k
Hugo D. Meiring Netherlands	23	1.1k 2.9×	267 1.0×	578 2.7×	155 1.0×	493 3.2×	57	2.1k
Xinlu Wang China	21	830 2.1×	157 0.6×	485 2.3×	173 1.1×	34 0.2×	78	1.7k
Richard Yi-Tsun Kao Hong Kong	14	352 0.9×	206 0.8×	132 0.6×	280 1.8×	123 0.8×	22	1.2k
Supachok Sinchaikul Taiwan	25	977 2.5×	119 0.5×	121 0.6×	224 1.4×	216 1.4×	57	1.8k
Ying Shi China	18	521 1.3×	97 0.4×	77 0.4×	140 0.9×	41 0.3×	43	1.1k
Ruifang Wang China	21	354 0.9×	307 1.2×	193 0.9×	99 0.6×	14 0.1×	80	1.3k
Zheng Luo China	18	499 1.3×	190 0.7×	248 1.2×	115 0.7×	34 0.2×	49	1.2k
Olivier Henry Canada	27	1.5k 3.8×	183 0.7×	199 0.9×	254 1.6×	40 0.3×	82	2.2k

Countries citing papers authored by Guo‐Yu Yang

Since Specialization

Citations

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

Fields of papers citing papers by Guo‐Yu Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Guo‐Yu Yang. A scholar is included among the top collaborators of Guo‐Yu 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 Guo‐Yu Yang. Guo‐Yu 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

Ma, Ying‐Xian, Jiaming Yang, Guo‐Yu Yang, et al.. (2025). Porcine reproductive and respiratory syndrome virus activates the pentose phosphate pathway via the ROS/HIF-1α/G6PD axis to promote viral replication. Virulence. 16(1). 2585639–2585639.

Wang, Xiaohan, Young Ku, Lei Zeng, et al.. (2025). Host factor DIAPH1 regulates pseudorabivirus replication by modulating the dynamics of cytoskeleton. International Journal of Biological Macromolecules. 298. 140112–140112.

Du, Mingliang, et al.. (2024). Role of Rab35 in modulating lipid metabolism and viral entry during pseudorabies virus infection. International Journal of Biological Macromolecules. 282(Pt 6). 137492–137492.

Ma, Ying‐Xian, Yingying Han, Peng Wang, et al.. (2024). Porcine reproductive and respiratory syndrome virus activates lipid synthesis through a ROS-dependent AKT/PCK1/INSIG/SREBPs axis. International Journal of Biological Macromolecules. 282(Pt 1). 136720–136720. 5 indexed citations

Wang, Heng, Pengxiang Liu, Zhen Zhang, et al.. (2024). Inhibiting UGCG prevents PRV infection by decreasing lysosome-associated autophage. International Journal of Biological Macromolecules. 285. 138303–138303.

Wang, Jinyuan, Xiaohan Wang, Lei Zeng, et al.. (2024). The actin cytoskeleton is important for pseudorabies virus infection. Virology. 600. 110233–110233. 3 indexed citations

Li, Xiu‐Qing, Mingyang Wang, Bowen Shi, et al.. (2024). Pseudorabies virus manipulates mitochondrial tryptophanyl-tRNA synthetase 2 for viral replication. Virologica Sinica. 39(3). 403–413. 1 indexed citations

Zhou, Lu‐Yu, et al.. (2023). Optimization of mammalian expression vector by cis-regulatory element combinations. Molecular Genetics and Genomics. 298(5). 1121–1133. 2 indexed citations

Li, Suyun, Guo‐Yu Yang, Yu Song, et al.. (2023). The involvement of DDX3X in compression-induced nucleus pulposus pyroptosis. Biochemical and Biophysical Research Communications. 655. 1–10. 4 indexed citations

10.

Liu, Jingsong, Xueming Zhang, Jin Chen, et al.. (2022). The anti-apoptotic and anti-autophagic effects of EPO through PI3K/Akt/mTOR signaling pathway in MAC-T cells. Research in Veterinary Science. 149. 1–10. 5 indexed citations

11.

Ming, Sheng‐Li, et al.. (2021). Chimeric Virus-like Particles of Universal Antigen Epitopes of Coronavirus and Phage Qβ Coat Protein Trigger the Production of Neutralizing Antibodies. Current Topics in Medicinal Chemistry. 21(14). 1235–1250. 9 indexed citations

12.

Ming, Sheng‐Li, Lei Zeng, Shuang Zhang, et al.. (2020). The Human-Specific STING Agonist G10 Activates Type I Interferon and the NLRP3 Inflammasome in Porcine Cells. Frontiers in Immunology. 11. 575818–575818. 15 indexed citations

13.

Wang, Yueying, Chengyu Zhang, Chunmei Xu, et al.. (2019). H2S mediates apoptosis in response to inflammation through PI3K/Akt/NFκB signaling pathway. Biotechnology Letters. 42(3). 375–387. 13 indexed citations

14.

Xie, Puhui, Fengqi Guo, Guangqin Gao, et al.. (2016). A near-Infrared Fluorescent Chemodosimeter for Ratiometric Detecting Fluoride Based on Desilylation Reaction. Journal of Fluorescence. 26(5). 1737–1742. 8 indexed citations

15.

Wang, Xinjian, Jiang Wang, Yueying Wang, et al.. (2016). Sus scrofa matrix attachment region enhances expression of the PiggyBac system transfected into HEK293T cells. Biotechnology Letters. 38(6). 949–958. 1 indexed citations

16.

Yang, Guo‐Yu. (2012). Effects of Acute Lipopolysaccharide Injury on Liver Nutrition Metabolism in Dairy Goats. Dongwu yingyang xuebao. 3 indexed citations

17.

Han, Liqiang, et al.. (2010). mRNA abundance and expression of SLC27A, ACC, SCD, FADS, LPIN, INSIG, and PPARGC1 gene isoforms in mouse mammary glands during the lactation cycle. Genetics and Molecular Research. 9(2). 1250–1257. 20 indexed citations

18.

Yang, Guo‐Yu. (2009). Cloning and Tissue Expression of Porcine Mighty Gene. Guangdong nongye kexue. 2 indexed citations

19.

Wang, Jing, et al.. (2009). Molecular cloning and tissue distribution of porcine Chemerin and its receptor.. ACTA AGRICULTURAE UNIVERSITATIS JIANGXIENSIS. 31(3). 517–521. 1 indexed citations

20.

Yang, Guo‐Yu. (2008). cDNA Cloning and Tissue Distribution of Porcine Neuromedin B and Its Receptor. He'nan nongye kexue. 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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