Peng-Fei Fu

34 total papers · 426 total citations
24 papers, 328 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 328 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, Jiang Wang, Bei‐Bei Chu, Guo‐Yu Yang, Lan‐Lan Zheng, Fang Liu, Shucheng Huang and Qinqin Cao 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 326 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Peng-Fei Fu 121 119 80 76 70 24 328
Zongyi Bo 133 1.1× 108 0.9× 99 1.2× 76 1.0× 47 0.7× 29 311
Xianwei Wang 106 0.9× 174 1.5× 150 1.9× 60 0.8× 120 1.7× 25 340
Minxun Song 137 1.1× 195 1.6× 173 2.2× 44 0.6× 64 0.9× 27 360
Sujie Dong 75 0.6× 146 1.2× 138 1.7× 87 1.1× 91 1.3× 20 354
Narayan Ramamurthy 163 1.3× 78 0.7× 49 0.6× 66 0.9× 54 0.8× 24 315
Li-Ting Cheng 126 1.0× 51 0.4× 83 1.0× 62 0.8× 45 0.6× 25 323
Qunxing Pan 60 0.5× 99 0.8× 60 0.8× 82 1.1× 51 0.7× 25 293
Kexiang Yu 73 0.6× 143 1.2× 185 2.3× 49 0.6× 62 0.9× 28 316
Qi Wang 140 1.2× 78 0.7× 66 0.8× 98 1.3× 37 0.5× 22 324
Panrao Liu 87 0.7× 140 1.2× 132 1.6× 89 1.2× 117 1.7× 18 334

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

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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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