Ping Jiang

2.2k total citations
98 papers, 1.6k citations indexed

About

Ping Jiang is a scholar working on Animal Science and Zoology, Infectious Diseases and Genetics. According to data from OpenAlex, Ping Jiang has authored 98 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Animal Science and Zoology, 51 papers in Infectious Diseases and 49 papers in Genetics. Recurrent topics in Ping Jiang's work include Animal Virus Infections Studies (61 papers), Virus-based gene therapy research (48 papers) and Viral gastroenteritis research and epidemiology (46 papers). Ping Jiang is often cited by papers focused on Animal Virus Infections Studies (61 papers), Virus-based gene therapy research (48 papers) and Viral gastroenteritis research and epidemiology (46 papers). Ping Jiang collaborates with scholars based in China, United States and Belgium. Ping Jiang's co-authors include Yufeng Li, Juan Bai, Xinglong Wang, Qiaoya Zhang, Xing Liu, Wenming Jiang, Xianwei Wang, Jun Cao, Yanni Gao and Basit Zeshan and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Ping Jiang

94 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ping Jiang China 25 969 800 682 304 261 98 1.6k
Iván Díaz Spain 24 1.8k 1.9× 1.8k 2.2× 1.3k 1.8× 288 0.9× 129 0.5× 61 2.5k
Paolo Borghetti Italy 21 766 0.8× 565 0.7× 451 0.7× 82 0.3× 160 0.6× 63 1.4k
Raymond R.R. Rowland United States 26 1.9k 2.0× 1.7k 2.1× 1.3k 1.9× 493 1.6× 178 0.7× 65 2.4k
Xin Yang China 24 634 0.7× 568 0.7× 278 0.4× 115 0.4× 407 1.6× 85 1.4k
Rodrigo A. Gallardo United States 22 838 0.9× 516 0.6× 169 0.2× 127 0.4× 132 0.5× 114 1.3k
Yihong Xiao China 18 489 0.5× 418 0.5× 325 0.5× 117 0.4× 218 0.8× 65 1.1k
Ilaria Barbieri Italy 24 377 0.4× 622 0.8× 180 0.3× 175 0.6× 365 1.4× 57 1.5k
Ruiping She China 24 519 0.5× 492 0.6× 206 0.3× 162 0.5× 293 1.1× 69 1.6k
Li Gao China 29 892 0.9× 799 1.0× 603 0.9× 321 1.1× 660 2.5× 169 2.9k
Jinbao Wang China 16 380 0.4× 323 0.4× 227 0.3× 146 0.5× 150 0.6× 46 753

Countries citing papers authored by Ping Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Ping Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ping Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Ping Jiang. A scholar is included among the top collaborators of Ping Jiang 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 Ping Jiang. Ping Jiang 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.
Guo, Lei, Ran Ji, Z. J. Sun, et al.. (2025). Pseudorabies virus induces ferroptosis by disrupting iron homeostasis through activation of TfR1 and ferritinophagy. Journal of Virology. 99(9). e0097425–e0097425.
2.
Cong, Xiaoyan, Ping Jiang, Mingming Zhou, et al.. (2025). Sus scrofa RNase L inhibits PRRSV replication by activation of type I IFN signaling pathway and apoptosis. Veterinary Microbiology. 302. 110392–110392.
3.
Liu, Xing, Jian Mao, Yangyang Sun, et al.. (2023). Porcine reproductive and respiratory syndrome virus-mediated lactate facilitates virus replication by targeting MAVS. Veterinary Microbiology. 284. 109846–109846. 14 indexed citations
4.
Laven, Richard, et al.. (2023). Comparison of four clinical sample types for detection and investigation of PCV3 prevalence in the pig farrowing room. Preventive Veterinary Medicine. 221. 106076–106076. 1 indexed citations
5.
Sun, Yangyang, Yanni Gao, Juan Bai, et al.. (2023). Porcine reproductive and respiratory syndrome virus infection triggers autophagy via ER stress-induced calcium signaling to facilitate virus replication. PLoS Pathogens. 19(3). e1011295–e1011295. 40 indexed citations
6.
Li, Jian, Junfang Yan, Yanni Gao, et al.. (2023). Identification of new conserved linear B-cell epitopes in the 3AB and 3C protein of Senecavirus A. Veterinary Microbiology. 283. 109780–109780.
7.
Jiang, Ping, et al.. (2023). The hierarchical organization of the precuneus captured by functional gradients. Brain Structure and Function. 228(6). 1561–1572. 7 indexed citations
8.
Gao, Yanni, et al.. (2023). Novel Epitope Mapping of African Swine Fever Virus pI215L Protein Using Monoclonal Antibodies. Viruses. 15(10). 2081–2081. 1 indexed citations
9.
Wang, Liyuan, Yanping Li, Ping Jiang, et al.. (2018). Identification and characterization of microRNA in the lung tissue of pigs with different susceptibilities to PCV2 infection. Veterinary Research. 49(1). 18–18. 19 indexed citations
10.
Liu, Jie, Xuliang Zhang, Chang Ma, et al.. (2017). The Hsp90 inhibitor 17-DMAG decreases infection of porcine circovirus type 2 in mice. Microbial Pathogenesis. 109. 248–252. 5 indexed citations
11.
Shi, Dongmei, et al.. (2016). Characteristics of Runoff and Sediment,Nitrogen and Phosphorus Losses under Soil Management Measures in Sloping Farmland. 30(5). 40. 5 indexed citations
12.
Fan, Baochao, et al.. (2016). Full-length genome sequencing analysis of avian infectious bronchitis virus isolate associated with nephropathogenic infection. Poultry Science. 95(12). 2921–2929. 13 indexed citations
13.
Wang, Haiyan, Juan Bai, Baochao Fan, et al.. (2015). The Interferon-Induced Mx2 Inhibits Porcine Reproductive and Respiratory Syndrome Virus Replication. Journal of Interferon & Cytokine Research. 36(2). 129–139. 40 indexed citations
14.
Jiang, Ping. (2011). Pathogenicity of Porcine Reproductive and Respiratory Syndrome Virus Isolates with Different NSP2 Variation in Piglets. Xumu shouyi xuebao. 2 indexed citations
15.
Shao, Xiaohou, et al.. (2008). Effect of EM Bokashi application on control of secondary soil salinization. SHILAP Revista de lepidopterología. 27 indexed citations
16.
Jiang, Ping. (2008). Development and biological characterization of monoclonal antibody with neutralization activity against GP5 protein of porcine reproduction and respiratory syndrome virus. Nanjing Nongye Daxue xuebao. 1 indexed citations
17.
18.
Li, Yufeng, et al.. (2006). Construction and Immunogenecity of GP5 Recombinant Adenovirus of Porcine Reproductive and Respira- tory Syndrome virus. Virologica Sinica. 21(4). 364–367.
19.
Li, Yufeng, et al.. (2006). Genomic Sequencing of S1 Strain of a Porcine Reproductive and Respiratory Syndrome Virus Isolate. Virologica Sinica. 21(5). 490–493. 1 indexed citations
20.
Shi, Juan, et al.. (2005). Niche characteristics of boring insects within Pinus massoniana infected by Bursaphelenchus xylophilus.. Beijing Linye Daxue xuebao. 27(6). 108–111. 2 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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