Peng-Fei Fu

440 total citations
24 papers, 338 citations indexed

About

Peng-Fei Fu is a scholar working on Animal Science and Zoology, Genetics and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Peng-Fei Fu has authored 24 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Animal Science and Zoology, 12 papers in Genetics and 10 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Peng-Fei Fu's work include Animal Virus Infections Studies (13 papers), Virus-based gene therapy research (11 papers) and Viral Infections and Immunology Research (10 papers). Peng-Fei Fu is often cited by papers focused on Animal Virus Infections Studies (13 papers), Virus-based gene therapy research (11 papers) and Viral Infections and Immunology Research (10 papers). Peng-Fei Fu collaborates with scholars based in China. Peng-Fei Fu's co-authors include Hong‐Ying Chen, Huihua Zheng, Zhenya Wang, Bei‐Bei Chu, Jiang Wang, Guo‐Yu Yang, Lan‐Lan Zheng, Fang Liu, Shucheng Huang and Xuebing Wang and has published in prestigious journals such as PLoS ONE, Journal of Virology and Journal of Agricultural and Food Chemistry.

In The Last Decade

Peng-Fei Fu

23 papers receiving 336 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peng-Fei Fu China 10 123 122 84 77 73 24 338
Zongyi Bo China 10 110 0.9× 136 1.1× 101 1.2× 77 1.0× 47 0.6× 30 320
Xianwei Wang China 12 175 1.4× 107 0.9× 150 1.8× 60 0.8× 120 1.6× 26 343
Minxun Song China 11 199 1.6× 138 1.1× 175 2.1× 44 0.6× 66 0.9× 27 365
Guofu Cheng China 12 142 1.2× 113 0.9× 103 1.2× 70 0.9× 45 0.6× 43 344
Kexiang Yu China 11 145 1.2× 73 0.6× 187 2.2× 49 0.6× 63 0.9× 29 318
Narayan Ramamurthy India 9 82 0.7× 167 1.4× 50 0.6× 66 0.9× 54 0.7× 24 321
Qisheng Zheng China 12 118 1.0× 43 0.4× 142 1.7× 90 1.2× 69 0.9× 41 332
Shaqiu Zhang China 10 68 0.6× 99 0.8× 70 0.8× 43 0.6× 23 0.3× 39 270
Yonghao Hu China 10 80 0.7× 79 0.6× 127 1.5× 71 0.9× 43 0.6× 30 337
Nitin Machindra Kamble South Korea 10 87 0.7× 119 1.0× 90 1.1× 58 0.8× 36 0.5× 26 284

Countries citing papers authored by Peng-Fei Fu

Since Specialization
Citations

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

Fields of papers citing papers by Peng-Fei Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peng-Fei Fu. 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 Peng-Fei Fu. The network helps show where Peng-Fei Fu may publish in the future.

Co-authorship network of co-authors of Peng-Fei Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Peng-Fei Fu. A scholar is included among the top collaborators of Peng-Fei Fu 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 Peng-Fei Fu. Peng-Fei Fu 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.
Fu, Peng-Fei, Yan‐Hong Wang, Dongmei Wang, et al.. (2024). First molecular detection and genetic characterization of porcine circovirus 4 in the Gansu Province of China. PLoS ONE. 19(2). e0293135–e0293135. 4 indexed citations
3.
Sun, Zhongxiang, Tianxiang Xiao, Yaping Chen, et al.. (2023). Genome-Wide Scanning Loci and Differentially Expressed Gene Analysis Unveils the Molecular Mechanism of Chlorantraniliprole Resistance in Spodoptera frugiperda. Journal of Agricultural and Food Chemistry. 71(38). 14092–14107. 8 indexed citations
4.
Fu, Peng-Fei, et al.. (2023). First Molecular Detection and Genetic Analysis of a Novel Porcine Circovirus (Porcine Circovirus 4) in Dogs in the World. Microbiology Spectrum. 11(2). e0433322–e0433322. 6 indexed citations
5.
Cheng, Xuan, et al.. (2023). Gossypol Affects Viral Replication by Inhibiting Pseudorabies Virus Adsorption. Transboundary and Emerging Diseases. 2023. 1–15. 2 indexed citations
6.
Lin, Luxi, Peng-Fei Fu, Chaodong Zhang, et al.. (2023). Evaluation of gut microbiota composition to screening for potential biomarker in AFB1-exposed sheep. 3 Biotech. 13(12). 409–409. 3 indexed citations
7.
Tong, Chao, et al.. (2022). Acute transcriptomic changes in murine RAW 264.7 cells following pseudorabies virus infection. Archives of Virology. 167(12). 2623–2631. 2 indexed citations
8.
Lin, Luxi, Peng-Fei Fu, Qinqin Cao, et al.. (2022). Total flavonoids of Rhizoma Drynariae protect hepatocytes against aflatoxin B1-induced oxidative stress and apoptosis in broiler chickens. Ecotoxicology and Environmental Safety. 230. 113148–113148. 39 indexed citations
9.
Fu, Peng-Fei, Lei Zeng, Xiu‐Qing Li, et al.. (2022). EGCG Restricts PRRSV Proliferation by Disturbing Lipid Metabolism. Microbiology Spectrum. 10(2). e0227621–e0227621. 26 indexed citations
10.
Fu, Peng-Fei, Xuan Cheng, Congrong Wang, et al.. (2021). CRISPR/Cas9-based generation of a recombinant double-reporter pseudorabies virus and its characterization in vitro and in vivo. Veterinary Research. 52(1). 95–95. 15 indexed citations
11.
Fu, Peng-Fei, et al.. (2021). NPC1-regulated dynamic of clathrin-coated pits is essential for viral entry. Science China Life Sciences. 65(2). 341–361. 33 indexed citations
12.
Zheng, Huihua, Linqing Wang, Peng-Fei Fu, et al.. (2020). Characterization of a recombinant pseudorabies virus expressing porcine parvovirus VP2 protein and porcine IL-6. Virology Journal. 17(1). 23 indexed citations
13.
Wang, Jiang, Ying-Qian Han, Sheng‐Li Ming, et al.. (2020). Cyclic GMP-AMP synthase is essential for cytosolic double-stranded DNA and fowl adenovirus serotype 4 triggered innate immune responses in chickens. International Journal of Biological Macromolecules. 146. 497–507. 23 indexed citations
14.
Liu, Fang, Peng-Fei Fu, Qinqin Cao, et al.. (2020). Lactobacillus rhamnosus JYLR-005 Prevents Thiram-Induced Tibial Dyschondroplasia by Enhancing Bone-Related Growth Performance in Chickens. Probiotics and Antimicrobial Proteins. 13(1). 19–31. 15 indexed citations
15.
Fu, Peng-Fei, et al.. (2016). [Immune Response of Recombinant Pseudorabies Virus rPRV-VP2 Expressing VP2 Gene of Porcine Parvovirus in Mice].. PubMed. 32(2). 195–202. 2 indexed citations
16.
Zheng, Lan‐Lan, Peng-Fei Fu, Zhanyong Wei, et al.. (2015). Construction and immunogenicity of a recombinant pseudorabies virus co-expressing porcine circovirus type 2 capsid protein and interleukin 18. Virus Research. 201. 8–15. 18 indexed citations
17.
Chen, Guanglei, et al.. (2014). Immune Responses of Piglets Immunized by a Recombinant Plasmid Containing Porcine Circovirus Type 2 and Porcine Interleukin-18 Genes. Viral Immunology. 27(10). 521–528. 4 indexed citations
18.
Fu, Peng-Fei, et al.. (2014). Bioinformatic characterization of recombinant pseudorabies virus PGO expressing ORF2 gene of porcine circovirus type 2. Zhongguo shouyi xuebao. 848–852. 1 indexed citations
19.
Cheng, Kun, et al.. (2014). Complete Genome Sequence of a Porcine Circovirus 2 Strain Isolated in Central China. Genome Announcements. 2(2). 1 indexed citations
20.
Li, Kun, et al.. (2014). Expression of bioactive porcine interferon-alpha in Lactobacillus casei. World Journal of Microbiology and Biotechnology. 30(9). 2379–2386. 7 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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