Xiaoli Hao

514 total citations
27 papers, 381 citations indexed

About

Xiaoli Hao is a scholar working on Epidemiology, Agronomy and Crop Science and Immunology. According to data from OpenAlex, Xiaoli Hao has authored 27 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Epidemiology, 14 papers in Agronomy and Crop Science and 11 papers in Immunology. Recurrent topics in Xiaoli Hao's work include Influenza Virus Research Studies (15 papers), Animal Disease Management and Epidemiology (13 papers) and Animal Virus Infections Studies (8 papers). Xiaoli Hao is often cited by papers focused on Influenza Virus Research Studies (15 papers), Animal Disease Management and Epidemiology (13 papers) and Animal Virus Infections Studies (8 papers). Xiaoli Hao collaborates with scholars based in China, United States and United Kingdom. Xiaoli Hao's co-authors include Min Gu, Jiao Hu, Shaobin Shang, Shunlin Hu, Yi Yang, Xiaoquan Wang, Xiufan Liu, Aijian Qin, Zenglei Hu and Xiufan Liu and has published in prestigious journals such as Journal of Virology, Cellular and Molecular Life Sciences and Frontiers in Immunology.

In The Last Decade

Xiaoli Hao

24 papers receiving 381 citations

Peers

Xiaoli Hao
Bryan S. Kaplan United States
Chithra Sreenivasan United States
Cary A. Rue United States
Nicolle Marshall United States
Diane J. Hulse United States
Lucas M. Ferreri United States
Xiaoli Hao
Citations per year, relative to Xiaoli Hao Xiaoli Hao (= 1×) peers Yuping Hua

Countries citing papers authored by Xiaoli Hao

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoli Hao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoli Hao

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoli Hao. A scholar is included among the top collaborators of Xiaoli Hao 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 Xiaoli Hao. Xiaoli Hao 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.
Zhu, Wen, Sang Hoon Han, Hui Jiang, et al.. (2025). Presence of Aminoglycoside and β-Lactam-Resistant Pseudomonas aeruginosa in Raw Milk of Cows. Dairy. 6(2). 13–13.
2.
He, Shicheng, Z. Cao, Wencai Li, et al.. (2024). Immune cell early activation, apoptotic kinetic, and T-cell functional impairment in domestic pigs after ASFV CADC_HN09 strain infection. Frontiers in Microbiology. 15. 1328177–1328177. 7 indexed citations
3.
Zhang, Huining, et al.. (2023). Characterization of chicken interleukin-9 receptor alpha chain. Poultry Science. 102(10). 102965–102965. 1 indexed citations
4.
Gu, Min, Xiaoli Hao, Tiansong Zhan, et al.. (2022). A dominant internal gene cassette of high pathogenicity avian influenza H7N9 virus raised since 2018. Virus Genes. 58(6). 584–588. 2 indexed citations
5.
Yang, Yi, Yi Lu, Xubin Lu, et al.. (2022). Dairy Cows Experimentally Infected With Bovine Leukemia Virus Showed an Increased Milk Production in Lactation Numbers 3–4: A 4-Year Longitudinal Study. Frontiers in Microbiology. 13. 946463–946463. 6 indexed citations
6.
Wang, Xiyue, Huiguang Wu, Xiaoquan Wang, et al.. (2022). Genome-Wide Reassortment Analysis of Influenza A H7N9 Viruses Circulating in China during 2013–2019. Viruses. 14(6). 1256–1256. 4 indexed citations
7.
Hao, Xiaoli, Shuai Li, Jiaqi Li, et al.. (2021). An Anti-Tumor Vaccine Against Marek's Disease Virus Induces Differential Activation and Memory Response of γδ T Cells and CD8 T Cells in Chickens. Frontiers in Immunology. 12. 645426–645426. 29 indexed citations
8.
Yang, Yi, Jilei Zhang, Si‐Yang Huang, et al.. (2021). Prevalence and molecular characterization of Wolbachia in field-collected Aedes albopictus, Anopheles sinensis, Armigeres subalbatus, Culex pipiens and Cx. tritaeniorhynchus in China. PLoS neglected tropical diseases. 15(10). e0009911–e0009911. 15 indexed citations
9.
Gu, Min, Huiguang Wu, Juan Li, et al.. (2021). Genetic and antigenic diversity of H7N9 highly pathogenic avian influenza virus in China. Infection Genetics and Evolution. 93. 104993–104993. 15 indexed citations
10.
Gu, Min, Xiyue Wang, Xiaoquan Wang, et al.. (2021). Spatiotemporal Associations and Molecular Evolution of Highly Pathogenic Avian Influenza A H7N9 Virus in China from 2017 to 2021. Viruses. 13(12). 2524–2524. 9 indexed citations
11.
Hao, Xiaoli, Fan Zhang, Yi Yang, & Shaobin Shang. (2021). The Evaluation of Cellular Immunity to Avian Viral Diseases: Methods, Applications, and Challenges. Frontiers in Microbiology. 12. 794514–794514. 14 indexed citations
12.
Li, Xiuli, Min Gu, Xiaoquan Wang, et al.. (2021). G1-like M and PB2 genes are preferentially incorporated into H7N9 progeny virions during genetic reassortment. BMC Veterinary Research. 17(1). 80–80.
13.
Hao, Xiaoli, Jiao Hu, Xiaoquan Wang, et al.. (2019). The PB2 and M genes are critical for the superiority of genotype S H9N2 virus to genotype H in optimizing viral fitness of H5Nx and H7N9 avian influenza viruses in mice. Transboundary and Emerging Diseases. 67(2). 758–768. 9 indexed citations
14.
Hao, Xiaoli, Xiaoquan Wang, Jiao Hu, et al.. (2019). The PB2 and M genes of genotype S H9N2 virus contribute to the enhanced fitness of H5Nx and H7N9 avian influenza viruses in chickens. Virology. 535. 218–226. 12 indexed citations
15.
Gao, Zhao, Jiao Hu, Xiaoquan Wang, et al.. (2018). The PA-interacting host protein nucleolin acts as an antiviral factor during highly pathogenic H5N1 avian influenza virus infection. Archives of Virology. 163(10). 2775–2786. 16 indexed citations
16.
Hao, Xiaoli, Jiao Hu, Xiaolong Lu, et al.. (2017). Internal Gene Cassette from a Genotype S H9N2 Avian Influenza Virus Attenuates the Pathogenicity of H5 Viruses in Chickens and Mice. Frontiers in Microbiology. 8. 1978–1978. 16 indexed citations
17.
Hao, Xiaoli, Jiao Hu, Jing Xu, et al.. (2016). Reassortant H5N1 avian influenza viruses containing PA or NP gene from an H9N2 virus significantly increase the pathogenicity in mice. Veterinary Microbiology. 192. 95–101. 17 indexed citations
18.
Li, Qunhui, Xuan Wang, Jiao Hu, et al.. (2015). Adaptive mutations in PB2 gene contribute to the high virulence of a natural reassortant H5N2 avian influenza virus in mice. Virus Research. 210. 255–263. 16 indexed citations
19.
Hu, Jiao, Yiqun Mo, Xiaoquan Wang, et al.. (2015). PA-X Decreases the Pathogenicity of Highly Pathogenic H5N1 Influenza A Virus in Avian Species by Inhibiting Virus Replication and Host Response. Journal of Virology. 89(8). 4126–4142. 87 indexed citations
20.
Liu, Qingtao, Junqing Huang, Yuxin Chen, et al.. (2014). Virulence Determinants in the PB2 Gene of a Mouse-Adapted H9N2 Virus. Journal of Virology. 89(1). 877–882. 17 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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