Angke Zhang

952 total citations
41 papers, 720 citations indexed

About

Angke Zhang is a scholar working on Infectious Diseases, Animal Science and Zoology and Agronomy and Crop Science. According to data from OpenAlex, Angke Zhang has authored 41 papers receiving a total of 720 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Infectious Diseases, 20 papers in Animal Science and Zoology and 17 papers in Agronomy and Crop Science. Recurrent topics in Angke Zhang's work include Animal Virus Infections Studies (20 papers), Viral gastroenteritis research and epidemiology (17 papers) and Animal Disease Management and Epidemiology (17 papers). Angke Zhang is often cited by papers focused on Animal Virus Infections Studies (20 papers), Viral gastroenteritis research and epidemiology (17 papers) and Animal Disease Management and Epidemiology (17 papers). Angke Zhang collaborates with scholars based in China, United Kingdom and Tunisia. Angke Zhang's co-authors include Gaiping Zhang, En‐Min Zhou, Shuqi Xiao, Hong Duan, Na Li, Jiming Gao, Yongkun Du, Taofeng Du, Bo Wan and Qin Zhao and has published in prestigious journals such as Journal of Virology, Scientific Reports and Free Radical Biology and Medicine.

In The Last Decade

Angke Zhang

34 papers receiving 715 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Angke Zhang China 17 320 301 235 171 164 41 720
Renfu Yin China 18 170 0.5× 202 0.7× 242 1.0× 100 0.6× 101 0.6× 50 726
Shuangqi Fan China 19 271 0.8× 196 0.7× 262 1.1× 425 2.5× 87 0.5× 56 939
Minhua Sun China 16 204 0.6× 228 0.8× 158 0.7× 60 0.4× 125 0.8× 41 579
Enqi Du China 17 199 0.6× 177 0.6× 265 1.1× 56 0.3× 127 0.8× 48 675
Jingjing Pei China 14 174 0.5× 106 0.4× 151 0.6× 234 1.4× 55 0.3× 28 570
Zhiqiang Duan China 18 268 0.8× 177 0.6× 324 1.4× 339 2.0× 141 0.9× 53 1.1k
Lang Gong China 20 683 2.1× 562 1.9× 125 0.5× 389 2.3× 266 1.6× 76 1.2k
Zhangyong Ning China 19 334 1.0× 218 0.7× 262 1.1× 398 2.3× 155 0.9× 67 1.2k
Jue Liu China 19 595 1.9× 743 2.5× 234 1.0× 177 1.0× 515 3.1× 75 1.3k
Jessika‐M. V. Cavalleri Germany 17 203 0.6× 183 0.6× 120 0.5× 122 0.7× 102 0.6× 57 694

Countries citing papers authored by Angke Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Angke Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Angke Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Angke Zhang. A scholar is included among the top collaborators of Angke Zhang 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 Angke Zhang. Angke Zhang 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.
Duan, Hong, Fengxia Zhang, Yifan Lu, et al.. (2025). Salvianolic acid A inhibits PRRSV replication via binding to Keap1 to activate the MKRN1–Nrf2–NQO1 pathway. Veterinary Research. 56(1). 182–182.
3.
Liu, Geng, Xiaoge Wang, Angke Zhang, et al.. (2025). Identification of a linear B-cell epitope in B117L-213 protein of ASFV using monoclonal antibodies. International Immunopharmacology. 160. 114970–114970.
4.
Duan, Hong, Min Wang, Fengxia Zhang, et al.. (2025). Biomimetic phosphorus dendrimer multi-epitope nanovaccine enhances humoral and cellular immune response against African swine fever virus. Journal of Nanobiotechnology. 23(1). 530–530.
5.
Song, Jinxing, Yanze Li, Lei Zhou, et al.. (2024). Modification of African classical swine fever p30 protein with magnetic nanoparticles and establishment of a novel rapid detection method. International Journal of Biological Macromolecules. 292. 139169–139169.
6.
Zhang, Yuanyuan, Lele Wang, Xuyang Zhao, et al.. (2024). Advancing vaccine development: Evaluation of a mannose-modified lipid nanoparticle-based candidate for African swine fever p30 mRNA vaccine eliciting robust immune response in mice. International Journal of Biological Macromolecules. 270(Pt 1). 132432–132432. 11 indexed citations
7.
Wu, Hongju, Geng Liu, Angke Zhang, et al.. (2024). Inhibition Effect of STING Agonist SR717 on PRRSV Replication. Viruses. 16(9). 1373–1373. 1 indexed citations
8.
Zheng, Nannan, Chao Li, Angke Zhang, et al.. (2023). A Novel Linear B-Cell Epitope on the P54 Protein of African Swine Fever Virus Identified Using Monoclonal Antibodies. Viruses. 15(4). 867–867. 10 indexed citations
9.
Jin, Jiaxin, Yuanyuan Zhang, Shuai Zhang, et al.. (2023). Establishment and characterization of a novel indirect ELISA method based on ASFV antigenic epitope-associated recombinant protein. International Journal of Biological Macromolecules. 253(Pt 7). 127311–127311. 4 indexed citations
10.
Zhou, Lei, Jinxing Song, Guoqing Zhuang, et al.. (2023). Establishment of a Dual-Antigen Indirect ELISA Based on p30 and pB602L to Detect Antibodies against African Swine Fever Virus. Viruses. 15(9). 1845–1845. 7 indexed citations
11.
Zhang, Shuai, Xuyang Zhao, Jiaxin Jin, et al.. (2023). An Intracellular Epitope of ASFV CD2v Protein Elicits Humoral and Cellular Immune Responses. Animals. 13(12). 1967–1967. 10 indexed citations
12.
Huang, Qiuping, Shijia Yu, Zhongyi Guo, et al.. (2022). A synthetic toll-like receptor 7 agonist inhibits porcine reproductive and respiratory syndrome virus replication in piglets. Veterinary Microbiology. 271. 109475–109475. 7 indexed citations
13.
Huo, Jian, Angke Zhang, Ran Huang, et al.. (2022). Splenic-targeting biomimetic nanovaccine for elevating protective immunity against virus infection. Journal of Nanobiotechnology. 20(1). 514–514. 19 indexed citations
14.
15.
16.
Zhang, Angke, Bo Wan, Dawei Jiang, et al.. (2020). The Cytoprotective Enzyme Heme Oxygenase-1 Suppresses Pseudorabies Virus Replication in vitro. Frontiers in Microbiology. 11. 412–412. 21 indexed citations
17.
Du, Taofeng, Shuqi Xiao, Na Li, et al.. (2017). Curcumin is a promising inhibitor of genotype 2 porcine reproductive and respiratory syndrome virus infection. BMC Veterinary Research. 13(1). 298–298. 35 indexed citations
18.
Xiao, Shuqi, Taofeng Du, Xue Wang, et al.. (2016). MiR-22 promotes porcine reproductive and respiratory syndrome virus replication by targeting the host factor HO-1. Veterinary Microbiology. 192. 226–230. 27 indexed citations
19.
Li, Na, Taofeng Du, Angke Zhang, et al.. (2016). MicroRNA let-7f-5p Inhibits Porcine Reproductive and Respiratory Syndrome Virus by Targeting MYH9. Scientific Reports. 6(1). 34332–34332. 37 indexed citations
20.
Liu, Hongliang, Yan Wang, Hong Duan, et al.. (2015). An intracellularly expressed Nsp9-specific nanobody in MARC-145 cells inhibits porcine reproductive and respiratory syndrome virus replication. Veterinary Microbiology. 181(3-4). 252–260. 60 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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