Zhangyong Ning

1.6k total citations
67 papers, 1.2k citations indexed

About

Zhangyong Ning is a scholar working on Epidemiology, Immunology and Agronomy and Crop Science. According to data from OpenAlex, Zhangyong Ning has authored 67 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Epidemiology, 24 papers in Immunology and 20 papers in Agronomy and Crop Science. Recurrent topics in Zhangyong Ning's work include Animal Disease Management and Epidemiology (20 papers), Influenza Virus Research Studies (18 papers) and Animal Virus Infections Studies (16 papers). Zhangyong Ning is often cited by papers focused on Animal Disease Management and Epidemiology (20 papers), Influenza Virus Research Studies (18 papers) and Animal Virus Infections Studies (16 papers). Zhangyong Ning collaborates with scholars based in China, United States and Indonesia. Zhangyong Ning's co-authors include Ming Liao, Wenbao Qi, Jianxin Liu, Peirong Jiao, Huizi Li, Guihong Zhang, Meng Yu, Bo Yu, Tao Ren and Weisheng Cao and has published in prestigious journals such as PLoS ONE, Scientific Reports and Frontiers in Microbiology.

In The Last Decade

Zhangyong Ning

63 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
Zhangyong Ning China 19 662 398 334 310 262 67 1.2k
Sascha Trapp France 19 816 1.2× 267 0.7× 168 0.5× 285 0.9× 324 1.2× 47 1.4k
Hao Zheng China 22 598 0.9× 283 0.7× 606 1.8× 326 1.1× 363 1.4× 83 1.7k
Mingqiu Zhao China 22 376 0.6× 682 1.7× 423 1.3× 228 0.7× 471 1.8× 76 1.6k
Zhiqiang Duan China 18 669 1.0× 339 0.9× 268 0.8× 86 0.3× 324 1.2× 53 1.1k
Sateesh Krishnamurthy United States 16 723 1.1× 102 0.3× 372 1.1× 186 0.6× 241 0.9× 20 1.1k
Shuang Chang China 20 583 0.9× 111 0.3× 123 0.4× 281 0.9× 279 1.1× 66 891
Yuekun Lang United States 19 546 0.8× 241 0.6× 387 1.2× 109 0.4× 176 0.7× 38 911
Shuangqi Fan China 19 165 0.2× 425 1.1× 271 0.8× 138 0.4× 262 1.0× 56 939
Rahul K. Nelli United States 16 488 0.7× 311 0.8× 383 1.1× 191 0.6× 183 0.7× 35 1.0k
Katsuhiro Kiyotani Japan 20 768 1.2× 84 0.2× 497 1.5× 298 1.0× 147 0.6× 53 1.1k

Countries citing papers authored by Zhangyong Ning

Since Specialization
Citations

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

Fields of papers citing papers by Zhangyong Ning

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zhangyong Ning. 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 Zhangyong Ning. The network helps show where Zhangyong Ning may publish in the future.

Co-authorship network of co-authors of Zhangyong Ning

This figure shows the co-authorship network connecting the top 25 collaborators of Zhangyong Ning. A scholar is included among the top collaborators of Zhangyong Ning 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 Zhangyong Ning. Zhangyong Ning 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.
2.
Yang, X. B., Yifan Wang, Peng Wu, et al.. (2025). Identification and genetic evolutionary analysis of goose circovirus in Shandong and neighboring provinces in China in 2024. Poultry Science. 104(11). 105826–105826.
3.
Li, Huizi, et al.. (2024). IFITM1 and IFITM2 inhibit the replication of senecavirus A by positive feedback with RIG-I signaling pathway. Veterinary Microbiology. 292. 110050–110050. 3 indexed citations
4.
Li, Huizi, et al.. (2024). TRIM5 inhibits the replication of Senecavirus A by promoting the RIG-I-mediated type I interferon antiviral response. Veterinary Research. 55(1). 101–101. 1 indexed citations
5.
Li, Shuo, et al.. (2024). Macrophage migration inhibitory factor facilitates replication of Senecavirus A by enhancing the glycolysis via hypoxia inducible factor 1 alpha. International Journal of Biological Macromolecules. 281(Pt 1). 136197–136197. 2 indexed citations
6.
Li, Huizi, et al.. (2023). CD46 inhibits the replication of swine influenza viruses by promoting the production of type I IFNs in PK-15 cells. Veterinary Research Communications. 48(2). 1111–1119.
7.
Li, Ying, et al.. (2018). Transcriptional profiling analysis of Zearalenone-induced inhibition proliferation on mouse thymic epithelial cell line 1. Ecotoxicology and Environmental Safety. 153. 135–141. 16 indexed citations
8.
Wu, Kai, et al.. (2017). Identification of atypical porcine pestivirus infection in swine herds in China. Transboundary and Emerging Diseases. 64(4). 1020–1023. 45 indexed citations
9.
Wang, Heng, et al.. (2015). A Proline-Rich Domain in the Genotype 4 Hepatitis E Virus ORF3 C-Terminus Is Crucial for Downstream V105DLP108 Immunoactivity. PLoS ONE. 10(7). e0133282–e0133282. 12 indexed citations
10.
Sun, Lingshuang, Pei Zhou, Shuyi He, et al.. (2015). Sparse serological evidence of H5N1 avian influenza virus infections in domestic cats, northeastern China. Microbial Pathogenesis. 82. 27–30. 9 indexed citations
11.
Zhou, Pei, Wanjun Zhu, Xinliang Fu, et al.. (2014). Avian influenza H9N2 seroprevalence among swine farm residents in China. Journal of Medical Virology. 86(4). 597–600. 32 indexed citations
12.
Ning, Zhangyong, et al.. (2014). Lack of evidence of avian-to-cat transmission of avian H5 subtype influenza virus among cats in southern China.. Pakistan Veterinary Journal. 34(4). 535–537. 4 indexed citations
13.
Yu, Meng, et al.. (2014). Expression profile and histological distribution of IFITM1 and IFITM3 during H9N2 avian influenza virus infection in BALB/c mice. Medical Microbiology and Immunology. 204(4). 505–514. 17 indexed citations
14.
Yu, Meng, et al.. (2014). Expression pattern of NLRP3 and its related cytokines in the lung and brain of avian influenza virus H9N2 infected BALB/c mice. Virology Journal. 11(1). 229–229. 16 indexed citations
15.
Wu, Xin‐Tao, et al.. (2013). Tissue distribution of human and avian type sialic acid influenza virus receptors in domestic cat. Acta Veterinaria Hungarica. 61(4). 537–546. 28 indexed citations
16.
Zhou, Fei, Zhiqiang Huang, Shuang Tong, et al.. (2013). The expression pattern and histological distribution of sialyltransferases ST3Gal III in yellow chicken. Veterinary Research Communications. 37(4). 285–291. 7 indexed citations
17.
Li, Hong, Zhangyong Ning, Wenbo Hao, et al.. (2012). Identification and characterization of monoclonal antibodies against the ORFV059 protein encoded by Orf virus. Virus Genes. 44(3). 429–440. 16 indexed citations
18.
Ning, Zhangyong, et al.. (2011). Na+/H+ Exchanger 1 Gene Expression in Tissues of Yellow Chicken. Biochemical Genetics. 50(3-4). 227–234. 2 indexed citations
19.
Ning, Zhangyong, Yongzheng Peng, Wenbo Hao, et al.. (2011). Generation of recombinant Orfvirus using an enhanced green fluorescent protein reporter gene as a selectable marker. BMC Veterinary Research. 7(1). 80–80. 7 indexed citations
20.

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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