Ping Jiang

4.5k total citations · 1 hit paper
135 papers, 3.4k 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 135 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Animal Science and Zoology, 47 papers in Infectious Diseases and 41 papers in Genetics. Recurrent topics in Ping Jiang's work include Animal Virus Infections Studies (51 papers), Viral gastroenteritis research and epidemiology (41 papers) and Virus-based gene therapy research (39 papers). Ping Jiang is often cited by papers focused on Animal Virus Infections Studies (51 papers), Viral gastroenteritis research and epidemiology (41 papers) and Virus-based gene therapy research (39 papers). Ping Jiang collaborates with scholars based in China, United States and Belgium. Ping Jiang's co-authors include Juan Bai, Yufeng Li, Eckard Wimmer, Wenming Jiang, Zhongbao Song, Xianwei Wang, Aniko V. Paul, Xinglong Wang, Xuewei Liu and Xing Liu and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Neuroscience.

In The Last Decade

Ping Jiang

130 papers receiving 3.4k citations

Hit Papers

Phosphatidylserine Vesicles Enable Efficient En Bloc Tran... 2015 2026 2018 2022 2015 100 200 300

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 32 1.5k 1.3k 949 810 682 135 3.4k
Rui Luo China 35 1.7k 1.2× 1.4k 1.1× 815 0.9× 1.0k 1.2× 501 0.7× 169 4.1k
Kevin M. Coombs Canada 33 1.6k 1.1× 570 0.5× 1.0k 1.1× 908 1.1× 918 1.3× 120 3.2k
Takemasa Sakaguchi Japan 36 1.1k 0.7× 566 0.4× 556 0.6× 813 1.0× 1.8k 2.7× 178 4.3k
Judith M. Ball United States 27 1.7k 1.1× 706 0.6× 468 0.5× 798 1.0× 416 0.6× 50 2.9k
Paul Britton United Kingdom 41 4.1k 2.8× 3.9k 3.1× 1.0k 1.1× 754 0.9× 875 1.3× 133 5.6k
P. Martelli Italy 31 900 0.6× 985 0.8× 686 0.7× 329 0.4× 388 0.6× 133 2.7k
Matthias Schweizer Switzerland 38 1.1k 0.8× 467 0.4× 829 0.9× 1.6k 1.9× 840 1.2× 123 5.3k
Sachin Kumar India 30 644 0.4× 796 0.6× 295 0.3× 753 0.9× 1.3k 1.9× 201 2.9k
David A. Stein United States 44 1.8k 1.2× 408 0.3× 750 0.8× 2.2k 2.7× 823 1.2× 91 5.0k
Kai Li China 28 499 0.3× 421 0.3× 478 0.5× 1.3k 1.6× 1.3k 1.9× 199 3.3k

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.
Jiang, Ping, et al.. (2024). A novel directly energy-preserving method for charged particle dynamics. Journal of Computational and Applied Mathematics. 446. 115869–115869.
2.
Liu, Depeng, Lei Guo, Kang Liu, et al.. (2024). Suppression of ZBP1-mediated NLRP3 inflammasome by the tegument protein VP22 facilitates pseudorabies virus infection. mBio. 15(12). e0194524–e0194524. 4 indexed citations
3.
Jiang, Dandan, Chao Sui, Ping Jiang, et al.. (2024). Swine NONO promotes IRF3-mediated antiviral immune response by Detecting PRRSV N protein. PLoS Pathogens. 20(10). e1012622–e1012622. 4 indexed citations
4.
Zhang, Xin, Li Li, Lei Zhao, et al.. (2023). CCL2 Promotes Novel Coronavirus-Mediated Inflammatory Responses on Macrophages. Clinical and investigative medicine. 46(3). E34–E45. 1 indexed citations
6.
Zhu, Ka-Li, Huixia Gao, Yao Lin, et al.. (2022). Delta Infection After Vaccination Elicits Potent Neutralizing Immunity Against Severe Acute Respiratory Syndrome Coronavirus 2 Omicron. The Journal of Infectious Diseases. 226(9). 1551–1555. 4 indexed citations
7.
Bai, Juan, Depeng Liu, Xian‐Wei Wang, et al.. (2022). Tegument protein UL21 of alpha-herpesvirus inhibits the innate immunity by triggering CGAS degradation through TOLLIP-mediated selective autophagy. Autophagy. 19(5). 1512–1532. 63 indexed citations
9.
Wang, Fujiang, Ping Jiang, Zhongbin Zhang, et al.. (2022). Prevalence and associated factors of lower extremity musculoskeletal disorders among manufacturing workers: a cross-sectional study in China. BMJ Open. 12(2). e054969–e054969. 9 indexed citations
10.
Zhang, Dongmei, Yanan Ma, Ping Jiang, et al.. (2022). Ribosomal protein L22-like1 (RPL22L1) mediates sorafenib sensitivity via ERK in hepatocellular carcinoma. Cell Death Discovery. 8(1). 365–365. 14 indexed citations
11.
Liang, Ning, Tingting Li, Ping Jiang, et al.. (2020). Efficacy and safety of edaravone for acute intracerebral haemorrhage: protocol for a systematic review and meta-analysis. BMJ Open. 10(8). e039366–e039366. 9 indexed citations
12.
Lai, Xinxing, Jian Liu, Tianyi Zhang, et al.. (2020). Clinical, laboratory and imaging predictors for critical illness and mortality in patients with COVID-19: protocol for a systematic review and meta-analysis. BMJ Open. 10(12). e039813–e039813. 7 indexed citations
13.
Hwang, Shiow‐Li, et al.. (2019). Effect of Music Therapy on Pain After Orthopedic Surgery—A Systematic Review and Meta‐Analysis. Pain Practice. 20(4). 422–436. 55 indexed citations
14.
Dong, Jing, Ling Jin, Jichun Wang, et al.. (2018). Polymorphisms affecting the gE and gI proteins partly contribute to the virulence of a newly-emergent highly virulent Chinese pseudorabies virus. Virology. 519. 42–52. 13 indexed citations
15.
Zhang, Qiaoya, Xiaojie Xu, Yufeng Li, et al.. (2016). Emerging of two new subgenotypes of porcine reproductive and respiratory syndrome viruses in Southeast China. Microbial Pathogenesis. 97. 27–33. 15 indexed citations
16.
Liu, Ying, Chunling Wang, Mike Strauss, et al.. (2014). An Interaction between Glutathione and the Capsid Is Required for the Morphogenesis of C-Cluster Enteroviruses. PLoS Pathogens. 10(4). e1004052–e1004052. 30 indexed citations
17.
Wang, Xiaoye, Juan Bai, Lili Zhang, et al.. (2012). Poly(A)-binding protein interacts with the nucleocapsid protein of porcine reproductive and respiratory syndrome virus and participates in viral replication. Antiviral Research. 96(3). 315–323. 22 indexed citations
18.
Tang, Fang, et al.. (2009). Construction and immunization of recombinant Adenovirus expressing the B,C antigenic sites of spike gene from Transmissible gastroenteritis virus (TGEV).. Journal of Pharmaceutical and Biomedical Sciences. 17(1). 1–6. 1 indexed citations
19.
Jiang, Ping, et al.. (2004). Humoral immune response induced by oral administration of S. typhimurium containing a DNA vaccine against porcine reproductive and respiratory syndrome virus. Veterinary Immunology and Immunopathology. 102(3). 321–328. 19 indexed citations
20.
Miki, Kenji, Waddah B. Al‐Refaie, Min Xu, et al.. (2000). Methioninase gene therapy of human cancer cells is synergistic with recombinant methioninase treatment.. PubMed. 60(10). 2696–702. 34 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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