Jiang Yu

2.4k total citations · 1 hit paper
56 papers, 1.8k citations indexed

About

Jiang Yu is a scholar working on Animal Science and Zoology, Infectious Diseases and Genetics. According to data from OpenAlex, Jiang Yu has authored 56 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Animal Science and Zoology, 22 papers in Infectious Diseases and 19 papers in Genetics. Recurrent topics in Jiang Yu's work include Animal Virus Infections Studies (29 papers), Virus-based gene therapy research (18 papers) and Viral gastroenteritis research and epidemiology (18 papers). Jiang Yu is often cited by papers focused on Animal Virus Infections Studies (29 papers), Virus-based gene therapy research (18 papers) and Viral gastroenteritis research and epidemiology (18 papers). Jiang Yu collaborates with scholars based in China, United States and Japan. Jiang Yu's co-authors include Rong Zhang, Edward Wai‐Chi Chan, Di Lin, Sheng Chen, Zhiwei Zheng, Man Huang, Lihua Wang, Lingbin Shu, Ning Dong and Danxia Gu and has published in prestigious journals such as Journal of Virology, Scientific Reports and Frontiers in Immunology.

In The Last Decade

Jiang Yu

54 papers receiving 1.8k citations

Hit Papers

A fatal outbreak of ST11 carbapenem-resistant hypervirule... 2017 2026 2020 2023 2017 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiang Yu China 19 780 471 422 404 376 56 1.8k
Chunjiang Zhao China 21 792 1.0× 163 0.3× 173 0.4× 443 1.1× 432 1.1× 81 1.8k
Dachuan Lin China 21 717 0.9× 313 0.7× 183 0.4× 159 0.4× 501 1.3× 35 1.5k
Zhong Peng China 21 254 0.3× 488 1.0× 179 0.4× 284 0.7× 335 0.9× 94 1.6k
Ricardo de la Fuente Spain 25 253 0.3× 933 2.0× 72 0.2× 167 0.4× 453 1.2× 84 2.0k
John Pace United States 19 307 0.4× 618 1.3× 43 0.1× 239 0.6× 459 1.2× 30 1.7k
Meritxell García‐Quintanilla Spain 22 521 0.7× 206 0.4× 40 0.1× 149 0.4× 332 0.9× 36 1.2k
Douglas M. Heithoff United States 28 297 0.4× 527 1.1× 41 0.1× 165 0.4× 1.1k 2.9× 50 2.5k
J L Penner Canada 28 214 0.3× 1.2k 2.5× 221 0.5× 230 0.6× 547 1.5× 73 3.4k
Jiale Ma China 22 250 0.3× 414 0.9× 278 0.7× 124 0.3× 303 0.8× 95 1.5k
Ana Carvajal Spain 29 157 0.2× 674 1.4× 586 1.4× 141 0.3× 313 0.8× 95 2.1k

Countries citing papers authored by Jiang Yu

Since Specialization
Citations

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

Fields of papers citing papers by Jiang Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiang Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Jiang Yu. A scholar is included among the top collaborators of Jiang Yu 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 Jiang Yu. Jiang Yu 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
2.
Xu, Yulin, Luo‐Gang Ding, Yuyu Zhang, et al.. (2024). Research progress on the pattern recognition receptors involved in porcine reproductive and respiratory syndrome virus infection. Frontiers in Cellular and Infection Microbiology. 14. 1428447–1428447. 2 indexed citations
3.
Yin, Qin, Kexin Li, Qiuhong Zhang, et al.. (2024). Linoleic acid inhibits lipopolysaccharide-induced inflammation by promoting TLR4 regulated autophagy in murine RAW264.7 macrophages. Journal of Applied Biomedicine. 22(4). 185–196. 1 indexed citations
4.
Mao, Zhiyuan, Yang Liu, Xiaojing Lv, et al.. (2023). Inter-synergized neuroprotection of costunolide engineered bone marrow mesenchymal stem cells targeting system. International Journal of Pharmaceutics. 639. 122823–122823. 4 indexed citations
5.
Meng, Kai, Yu Wang, Zhao Wang, et al.. (2023). Comparison of the cross-protection of PPRSV sublineage 8.7 MLV vaccines against the recombinant NADC30-like strain. Veterinary Microbiology. 281. 109724–109724. 4 indexed citations
6.
Gao, Yidan, Jian Jiao, Yuyu Zhang, et al.. (2023). Upregulation of TLR4-Dependent ATP Production Is Critical for Glaesserella parasuis LPS-Mediated Inflammation. Cells. 12(5). 751–751. 9 indexed citations
7.
Zhao, Pengwei, Zhi Chen, Jiang Yu, et al.. (2020). Successive Passage In Vitro Led to Lower Virulence and Higher Titer of A Variant Porcine Epidemic Diarrhea Virus. Viruses. 12(4). 391–391. 10 indexed citations
8.
Zhang, Lingling, Xiaoyan Wu, Jianli Shi, et al.. (2018). The correlation between the mutual deletions of amino acids within porcine circovirus rep protein and the discrepancy of replication. Microbial Pathogenesis. 117. 327–334. 3 indexed citations
9.
Chen, Lei, Jing Shi, Wenbo Sun, et al.. (2018). Zebrafish intelectin 1 (zITLN1) plays a role in the innate immune response. Fish & Shellfish Immunology. 83. 96–103. 14 indexed citations
10.
Gu, Danxia, Ning Dong, Zhiwei Zheng, et al.. (2017). A fatal outbreak of ST11 carbapenem-resistant hypervirulent Klebsiella pneumoniae in a Chinese hospital: a molecular epidemiological study. The Lancet Infectious Diseases. 18(1). 37–46. 746 indexed citations breakdown →
11.
Yu, Jiang, Yuyu Zhang, Lihui Guo, et al.. (2017). The integrity of PRRSV nucleocapsid protein is necessary for up-regulation of optimal interleukin-10 through NF-κB and p38 MAPK pathways in porcine alveolar macrophages. Microbial Pathogenesis. 109. 319–324. 17 indexed citations
12.
Hu, Yue, Xiaoyan Cong, Lei Chen, et al.. (2016). Synergy of TLR3 and 7 ligands significantly enhances function of DCs to present inactivated PRRSV antigen through TRIF/MyD88-NF-κB signaling pathway. Scientific Reports. 6(1). 23977–23977. 29 indexed citations
13.
14.
Li, Jun, Jianli Shi, Xiaoyan Wu, et al.. (2015). Improvement of the Immunogenicity of Porcine Circovirus Type 2 DNA Vaccine by Recombinant ORF2 Gene and CpG Motifs. Viral Immunology. 28(5). 290–296. 6 indexed citations
15.
Yu, Jiang, Jiaqiang Wu, Yuyu Zhang, et al.. (2014). Identification of putative virulence-associated genes among Haemophilus parasuis strains and the virulence difference of different serovars. Microbial Pathogenesis. 77. 17–23. 10 indexed citations
16.
Peng, Jun, Jiaqiang Wu, Yijun Du, et al.. (2013). Positive Inductive Effect of Swine Interleukin-4 on Immune Responses Elicited by Modified Live Porcine Reproductive and Respiratory Syndrome Virus (PRRSV) Vaccine. Viral Immunology. 26(6). 404–414. 11 indexed citations
17.
Yu, Jiang, Jiaqiang Wu, Yuyu Zhang, et al.. (2012). Concurrent highly pathogenic porcine reproductive and respiratory syndrome virus infection accelerates Haemophilus parasuis infection in conventional pigs. Veterinary Microbiology. 158(3-4). 316–321. 60 indexed citations
18.
Wu, Jiaqiang, Shun Zhou, Kun Li, et al.. (2011). Porcine Reproductive and Respiratory Syndrome in Hybrid Wild Boars, China. Emerging infectious diseases. 17(6). 1071–1073. 15 indexed citations
19.
Yu, Jiang, et al.. (2009). Development of nested RT-PCR for detection animal rabies virus.. Zhongguo shouyi xuebao. 29(8). 1003–1007. 2 indexed citations
20.
Yamada, Hayato, Yukihiro Nishiyama, Jiang Yu, et al.. (1998). Characterization of the UL55 gene product of herpes simplex virus type 2.. Journal of General Virology. 79(8). 1989–1995. 21 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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