Hailiang Sun

835 total citations
36 papers, 531 citations indexed

About

Hailiang Sun is a scholar working on Epidemiology, Agronomy and Crop Science and Infectious Diseases. According to data from OpenAlex, Hailiang Sun has authored 36 papers receiving a total of 531 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Epidemiology, 18 papers in Agronomy and Crop Science and 13 papers in Infectious Diseases. Recurrent topics in Hailiang Sun's work include Influenza Virus Research Studies (26 papers), Animal Disease Management and Epidemiology (18 papers) and Respiratory viral infections research (12 papers). Hailiang Sun is often cited by papers focused on Influenza Virus Research Studies (26 papers), Animal Disease Management and Epidemiology (18 papers) and Respiratory viral infections research (12 papers). Hailiang Sun collaborates with scholars based in China, United States and Hong Kong. Hailiang Sun's co-authors include Xiu‐Feng Wan, Jialiang Yang, Richard J. Webby, Ming Liao, Li-Ping Long, Guohua Yang, Kun Jia, Peirong Jiao, Li Huang and Bo Liao and has published in prestigious journals such as Nature Communications, Bioinformatics and Applied and Environmental Microbiology.

In The Last Decade

Hailiang Sun

32 papers receiving 526 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hailiang Sun China 14 389 202 158 157 69 36 531
Björn F. Koel United Kingdom 8 565 1.5× 181 0.9× 191 1.2× 164 1.0× 101 1.5× 8 629
Zhiguang Ran United States 7 338 0.9× 121 0.6× 126 0.8× 75 0.5× 74 1.1× 13 437
Jayati Bera United States 13 637 1.6× 124 0.6× 233 1.5× 190 1.2× 70 1.0× 17 745
А. А. Шилов Russia 14 627 1.6× 209 1.0× 187 1.2× 207 1.3× 125 1.8× 46 776
Thomas Fabrizio United States 13 458 1.2× 186 0.9× 238 1.5× 113 0.7× 143 2.1× 27 624
Chithra Sreenivasan United States 15 527 1.4× 262 1.3× 208 1.3× 74 0.5× 98 1.4× 34 661
Min-Shi Lee Taiwan 15 365 0.9× 254 1.3× 371 2.3× 256 1.6× 71 1.0× 34 776
Yuanguo Li China 12 243 0.6× 111 0.5× 181 1.1× 55 0.4× 61 0.9× 30 377
Siu-Ying Lau Hong Kong 15 633 1.6× 248 1.2× 304 1.9× 202 1.3× 211 3.1× 25 830

Countries citing papers authored by Hailiang Sun

Since Specialization
Citations

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

Fields of papers citing papers by Hailiang Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hailiang Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Hailiang Sun. A scholar is included among the top collaborators of Hailiang Sun 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 Hailiang Sun. Hailiang Sun 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.
Sun, Hailiang, Hanlin Liu, Jianfeng Zhang, et al.. (2025). Genome-scale evolution and phylodynamics of swine influenza A viruses in China: a genomic epidemiology study. The Lancet Microbe. 6(6). 101020–101020.
2.
3.
Guo, Feng, Xianglin Ji, Chuxiao Xiong, et al.. (2024). Single-cell encoded gene silencing for high-throughput combinatorial siRNA screening. Nature Communications. 15(1). 9985–9985. 2 indexed citations
4.
Wei, Yifan, et al.. (2024). TRIM21 Promotes Oxidative Stress and Ferroptosis through the SQSTM1-NRF2-KEAP1 Axis to Increase the Titers of H5N1 Highly Pathogenic Avian Influenza Virus. International Journal of Molecular Sciences. 25(6). 3315–3315. 10 indexed citations
5.
6.
Sun, Hailiang, et al.. (2024). Genetic evolution, phylodynamic and phylogeographic of H5Ny AIVs in mammals. 1(1). 69–85. 1 indexed citations
7.
Sun, Hailiang, Yongcui Wang, Hanlin Liu, et al.. (2023). The genetic diversity, replication, and transmission of 2009 pandemic H1N1 viruses in China. Frontiers in Microbiology. 14. 1110100–1110100. 3 indexed citations
8.
9.
Li, Haoning, Yuying Zhang, Chengye Li, et al.. (2023). Tandem mass tag-based quantitative proteomics analysis reveals the new regulatory mechanism of progranulin in influenza virus infection. Frontiers in Microbiology. 13. 1090851–1090851.
10.
Sun, Hailiang, Ailan Wang, Lixia Wang, et al.. (2022). Systematic Tracing of Susceptible Animals to SARS-CoV-2 by a Bioinformatics Framework. Frontiers in Microbiology. 13. 781770–781770. 6 indexed citations
11.
Yu, Yanan, Mei-Hua Wu, Xinxin Cui, et al.. (2021). Pathogenicity and transmissibility of current H3N2 swine influenza virus in Southern China: A zoonotic potential. Transboundary and Emerging Diseases. 69(4). 2052–2064. 10 indexed citations
12.
Wu, Mei-Hua, Rongsheng Su, Yanan Yu, et al.. (2021). Molecular Characteristics, Antigenicity, Pathogenicity, and Zoonotic Potential of a H3N2 Canine Influenza Virus Currently Circulating in South China. Frontiers in Microbiology. 12. 628979–628979. 6 indexed citations
13.
Zhang, Xiaojian, Hailiang Sun, Fred L. Cunningham, et al.. (2018). Tissue tropisms opt for transmissible reassortants during avian and swine influenza A virus co-infection in swine. PLoS Pathogens. 14(12). e1007417–e1007417. 18 indexed citations
14.
Cui, Jin, Lan Cao, Siyu Wu, et al.. (2017). Phylogeny, Pathogenicity, and Transmission of H5N1 Avian Influenza Viruses in Chickens. Frontiers in Cellular and Infection Microbiology. 7. 328–328. 9 indexed citations
15.
Yao, Yuhua, Xianhong Li, Bo Liao, et al.. (2017). Predicting influenza antigenicity from Hemagglutintin sequence data based on a joint random forest method. Scientific Reports. 7(1). 1545–1545. 49 indexed citations
16.
Ye, Jianqiang, Feng Wen, Yifei Xu, et al.. (2015). Error-prone pcr-based mutagenesis strategy for rapidly generating high-yield influenza vaccine candidates. Virology. 482. 234–243. 13 indexed citations
17.
Sun, Hailiang, Fred L. Cunningham, Yifei Xu, et al.. (2015). Dynamics of virus shedding and antibody responses in influenza A virus-infected feral swine. Journal of General Virology. 96(9). 2569–2578. 14 indexed citations
18.
Martin, Brigitte E., Kun Jia, Hailiang Sun, et al.. (2014). Detection of influenza antigenic variants directly from clinical samples using polyclonal antibody based proximity ligation assays. Virology. 476. 151–158. 6 indexed citations
19.
Ye, Jianqiang, Yifei Xu, Hailiang Sun, et al.. (2013). Mutation from arginine to lysine at the position 189 of hemagglutinin contributes to the antigenic drift in H3N2 swine influenza viruses. Virology. 446(1-2). 225–229. 14 indexed citations
20.
Sun, Hailiang, Peirong Jiao, Chenggang Xu, et al.. (2011). Pathogenicity in quails and mice of H5N1 highly pathogenic avian influenza viruses isolated from ducks. Veterinary Microbiology. 152(3-4). 258–265. 36 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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