Juan Pu

5.3k total citations
114 papers, 3.0k citations indexed

About

Juan Pu is a scholar working on Epidemiology, Agronomy and Crop Science and Infectious Diseases. According to data from OpenAlex, Juan Pu has authored 114 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 95 papers in Epidemiology, 57 papers in Agronomy and Crop Science and 40 papers in Infectious Diseases. Recurrent topics in Juan Pu's work include Influenza Virus Research Studies (92 papers), Animal Disease Management and Epidemiology (57 papers) and Respiratory viral infections research (36 papers). Juan Pu is often cited by papers focused on Influenza Virus Research Studies (92 papers), Animal Disease Management and Epidemiology (57 papers) and Respiratory viral infections research (36 papers). Juan Pu collaborates with scholars based in China, United Kingdom and United States. Juan Pu's co-authors include Jinhua Liu, Yipeng Sun, Honglei Sun, Kin‐Chow Chang, Yuhai Bi, Hanchun Yang, Linqing Liu, Litao Liu, Guanlong Xu and Earl G. Brown and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Journal of Virology.

In The Last Decade

Juan Pu

108 papers receiving 2.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Juan Pu China 33 2.5k 1.4k 1.2k 547 460 114 3.0k
Yipeng Sun China 30 2.0k 0.8× 1.1k 0.8× 928 0.8× 491 0.9× 394 0.9× 89 2.5k
Hongquan Wan United States 25 3.2k 1.3× 1.1k 0.8× 1.1k 0.9× 746 1.4× 535 1.2× 49 3.5k
Masatoshi Okamatsu Japan 29 2.1k 0.9× 1.4k 1.0× 1.1k 1.0× 351 0.6× 342 0.7× 132 2.7k
Yumiko Matsuoka United States 29 3.0k 1.2× 1.5k 1.1× 1.3k 1.1× 738 1.3× 514 1.1× 59 3.4k
Jürgen Stech Germany 25 3.6k 1.4× 2.1k 1.5× 1.5k 1.3× 690 1.3× 582 1.3× 50 3.8k
Jianzhong Shi China 34 3.4k 1.4× 2.2k 1.6× 1.9k 1.6× 614 1.1× 560 1.2× 110 4.2k
Guohua Deng China 32 4.2k 1.7× 2.7k 1.9× 2.1k 1.8× 758 1.4× 593 1.3× 100 4.6k
Claudia Pappas United States 27 2.7k 1.1× 1.1k 0.8× 1.0k 0.9× 855 1.6× 436 0.9× 56 3.1k
Shunlin Hu China 27 1.9k 0.8× 864 0.6× 803 0.7× 365 0.7× 390 0.8× 150 2.4k
Neal Van Hoeven United States 25 1.7k 0.7× 647 0.5× 814 0.7× 852 1.6× 570 1.2× 43 2.5k

Countries citing papers authored by Juan Pu

Since Specialization
Citations

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

Fields of papers citing papers by Juan Pu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juan Pu

This figure shows the co-authorship network connecting the top 25 collaborators of Juan Pu. A scholar is included among the top collaborators of Juan Pu 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 Juan Pu. Juan Pu 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.
Zhao, Chengcheng, Zhen Wang, Mingyue Chen, et al.. (2025). A Susceptible Cell‐Selective Delivery (SCSD) of mRNA‐Encoded Cas13d Against Influenza Infection. Advanced Science. 12(9). e2414651–e2414651. 3 indexed citations
3.
4.
Liu, Xiang, Yao Yao, Yi Luo, et al.. (2024). Gut microbiota-derived butyrate promotes coronavirus TGEV infection through impairing RIG-I-triggered local type I interferon responses via class I HDAC inhibition. Journal of Virology. 98(2). e0137723–e0137723. 6 indexed citations
5.
Guo, Tingting, Mingyue Chen, Rui Wang, et al.. (2024). COVID-19 restrictions limit the circulation of H3N2 canine influenza virus in China. 2(1).
6.
Wang, Chenxi, Yanan Zong, Chao Qin, et al.. (2022). Enhanced stability of M1 protein mediated by a phospho-resistant mutation promotes the replication of prevailing avian influenza virus in mammals. PLoS Pathogens. 18(7). e1010645–e1010645. 10 indexed citations
7.
Sun, Honglei, Haoran Sun, Jingwei Song, et al.. (2022). N-linked glycosylation enhances hemagglutinin stability in avian H5N6 influenza virus to promote adaptation in mammals. PNAS Nexus. 1(3). pgac085–pgac085. 10 indexed citations
8.
Sun, Honglei, Fangtao Li, Qingzhi Liu, et al.. (2021). Mink is a highly susceptible host species to circulating human and avian influenza viruses. Emerging Microbes & Infections. 10(1). 472–480. 32 indexed citations
9.
Jiang, Zhimin, Fanhua Wei, Yuying Zhang, et al.. (2021). IFI16 directly senses viral RNA and enhances RIG-I transcription and activation to restrict influenza virus infection. Nature Microbiology. 6(7). 932–945. 84 indexed citations
10.
Sun, Haoran, Jiyu Liu, Yihong Xiao, et al.. (2021). Pathogenicity of novel reassortant Eurasian avian-like H1N1 influenza virus in pigs. Virology. 561. 28–35. 7 indexed citations
11.
Yang, Jiayun, Zhimin Jiang, Hongyu Zhang, et al.. (2020). Thapsigargin at Non-Cytotoxic Levels Induces a Potent Host Antiviral Response that Blocks Influenza A Virus Replication. Viruses. 12(10). 1093–1093. 24 indexed citations
12.
Wei, Fanhua, Zhimin Jiang, Honglei Sun, et al.. (2019). Induction of PGRN by influenza virus inhibits the antiviral immune responses through downregulation of type I interferons signaling. PLoS Pathogens. 15(10). e1008062–e1008062. 27 indexed citations
13.
Liu, Litao, Tong Wang, Mingyang Wang, et al.. (2019). Recombinant turkey herpesvirus expressing H9 hemagglutinin providing protection against H9N2 avian influenza. Virology. 529. 7–15. 39 indexed citations
14.
Wang, Mingyang, Yandi Wei, Juan Pu, et al.. (2018). Cross- immunity of a H9N2 live attenuated influenza vaccine against H5N2 highly pathogenic avian influenza virus in chickens. Veterinary Microbiology. 220. 57–66. 11 indexed citations
15.
Xu, Guanlong, Xuxiao Zhang, Qinfang Liu, et al.. (2017). PA-X protein contributes to virulence of triple-reassortant H1N2 influenza virus by suppressing early immune responses in swine. Virology. 508. 45–53. 20 indexed citations
16.
Pu, Juan, et al.. (2016). カーボン/高分子電解質複合材料の三次元櫛型電極を持つ高エネルギー密度,全固体マイクロスーパーキャパシタ. Nanotechnology. 27(4). 12. 2 indexed citations
17.
Wei, Yandi, Qi Lu, Huijie Gao, et al.. (2016). Generation and protective efficacy of a cold-adapted attenuated avian H9N2 influenza vaccine. Scientific Reports. 6(1). 30382–30382. 15 indexed citations
18.
Liu, Linqing, Juan Pu, Jingyi Zhao, et al.. (2013). Risk Perceptions for Avian Influenza Virus Infection among Poultry Workers, China. Emerging infectious diseases. 19(2). 313–316. 50 indexed citations
19.
Kong, Weili, et al.. (2013). Epidemic Status of Swine Influenza Virus in China. Indian Journal of Microbiology. 54(1). 3–11. 21 indexed citations
20.
Zhang, Rui, Juan Pu, Jixun Zhao, et al.. (2009). Phylogenetic characterization of Newcastle disease virus isolated in the mainland of China during 2001–2009. Veterinary Microbiology. 141(3-4). 246–257. 90 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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