Fandan Meng

1.1k total citations
41 papers, 823 citations indexed

About

Fandan Meng is a scholar working on Infectious Diseases, Epidemiology and Animal Science and Zoology. According to data from OpenAlex, Fandan Meng has authored 41 papers receiving a total of 823 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Infectious Diseases, 17 papers in Epidemiology and 16 papers in Animal Science and Zoology. Recurrent topics in Fandan Meng's work include Viral gastroenteritis research and epidemiology (16 papers), Animal Virus Infections Studies (16 papers) and Virus-based gene therapy research (12 papers). Fandan Meng is often cited by papers focused on Viral gastroenteritis research and epidemiology (16 papers), Animal Virus Infections Studies (16 papers) and Virus-based gene therapy research (12 papers). Fandan Meng collaborates with scholars based in China, Germany and United States. Fandan Meng's co-authors include Georg Herrler, Peter Valentin‐Weigand, Xiaofeng Ren, Maren Seitz, Yan‐Dong Tang, Guangxing Li, Xuehui Cai, Nai‐Huei Wu, Xunliang Li and Wei Yang and has published in prestigious journals such as PLoS ONE, Journal of Virology and Scientific Reports.

In The Last Decade

Fandan Meng

40 papers receiving 818 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fandan Meng China 18 424 341 258 222 110 41 823
Mathias Martins United States 16 467 1.1× 308 0.9× 139 0.5× 156 0.7× 54 0.5× 38 733
Lindsey A. Moser United States 12 413 1.0× 222 0.7× 226 0.9× 200 0.9× 109 1.0× 16 758
Yeonsu Oh South Korea 16 433 1.0× 442 1.3× 86 0.3× 299 1.3× 38 0.3× 96 839
Hongbo Guo China 16 476 1.1× 355 1.0× 586 2.3× 166 0.7× 36 0.3× 31 1.1k
Obdulio García-Nicolás Switzerland 16 486 1.1× 150 0.4× 101 0.4× 117 0.5× 346 3.1× 41 715
Christine C. Yokoyama United States 12 541 1.3× 161 0.5× 454 1.8× 130 0.6× 49 0.4× 17 965
István Kiss Hungary 21 601 1.4× 586 1.7× 437 1.7× 290 1.3× 32 0.3× 63 1.2k
Jiexiong Xie China 20 493 1.2× 440 1.3× 225 0.9× 287 1.3× 23 0.2× 47 760
Zhuoming Qin China 15 264 0.6× 255 0.7× 441 1.7× 50 0.2× 82 0.7× 38 712
Sateesh Krishnamurthy United States 16 372 0.9× 262 0.8× 723 2.8× 289 1.3× 37 0.3× 20 1.1k

Countries citing papers authored by Fandan Meng

Since Specialization
Citations

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

Fields of papers citing papers by Fandan Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fandan Meng

This figure shows the co-authorship network connecting the top 25 collaborators of Fandan Meng. A scholar is included among the top collaborators of Fandan Meng 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 Fandan Meng. Fandan Meng 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.
Zhou, Zhi, Jianqiang Zhang, Xinyi Huang, et al.. (2025). Refining Lineage Classification and Updated RFLP Patterns of PRRSV‐2 Revealed Viral Spatiotemporal Distribution Characteristics in China in 1991–2023. Transboundary and Emerging Diseases. 2025(1). 9977088–9977088. 4 indexed citations
2.
An, Tongqing, et al.. (2025). Epitope Mapping of Senecavirus A 3A Protein Using Monoclonal Antibodies. Transboundary and Emerging Diseases. 2025(1). 3398924–3398924. 1 indexed citations
3.
Huang, Rui, Meng Chen, Jinmei Peng, et al.. (2024). MARCH8 inhibits pseudorabies virus replication by trapping the viral cell-to-cell fusion complex in the trans-Golgi network. International Journal of Biological Macromolecules. 274(Pt 2). 133463–133463. 6 indexed citations
4.
Yang, Yongbo, Shujie Wang, Haiwei Wang, et al.. (2024). Lipid A-modified Escherichia coli can produce porcine parvovirus virus-like particles with high immunogenicity and minimal endotoxin activity. Microbial Cell Factories. 23(1). 222–222. 3 indexed citations
5.
Li, Xin, Jin Chen, Wei Yang, et al.. (2024). Cell-penetrating peptides TAT and 8R functionalize P22 virus-like particles to enhance tissue distribution and retention in vivo. Frontiers in Veterinary Science. 11. 1460973–1460973. 1 indexed citations
6.
Sun, Mingxia, Wei Yang, Lan Yang, et al.. (2024). Identification of a linear B-cell epitope on the “puff” loop of the Senecavirus A VP2 protein involved in receptor binding. Frontiers in Microbiology. 15. 1387309–1387309. 2 indexed citations
7.
Huang, Rui, Changqing Yu, Meng Chen, et al.. (2024). MARCH1 and MARCH2 inhibit pseudorabies virus replication by trapping the viral cell-to-cell fusion complex in trans-Golgi network. Veterinary Microbiology. 295. 110164–110164. 4 indexed citations
8.
Sun, Mingxia, Linlin Hou, Huan Song, et al.. (2022). The relationship between autophagy and apoptosis during pseudorabies virus infection. Frontiers in Veterinary Science. 9. 1064433–1064433. 8 indexed citations
9.
Qin, Lei, Fandan Meng, Yongbo Yang, et al.. (2022). A Virulent Trueperella pyogenes Isolate, Which Causes Severe Bronchoconstriction in Porcine Precision-Cut Lung Slices. Frontiers in Veterinary Science. 8. 824349–824349. 6 indexed citations
10.
Zhang, Yuyuan, Mingxia Sun, Tong-Yun Wang, et al.. (2022). CRISPR-Cas13d Exhibits Robust Antiviral Activity Against Seneca Valley Virus. Frontiers in Microbiology. 13. 835040–835040. 6 indexed citations
11.
Fu, Yuguang, et al.. (2018). The Sialic Acid Binding Activity of Human Parainfluenza Virus 3 and Mumps Virus Glycoproteins Enhances the Adherence of Group B Streptococci to HEp-2 Cells. Frontiers in Cellular and Infection Microbiology. 8. 280–280. 14 indexed citations
12.
Fu, Yuguang, et al.. (2018). Ciliostasis of airway epithelial cells facilitates influenza A virus infection. Veterinary Research. 49(1). 65–65. 21 indexed citations
13.
Yang, Wei, Sarah R. Leist, Jürgen Stech, et al.. (2017). Increased virulence of a PB2/HA mutant of an avian H9N2 influenza strain after three passages in porcine differentiated airway epithelial cells. Veterinary Microbiology. 211. 129–134. 5 indexed citations
14.
Wu, Nai‐Huei, Wei Yang, Andreas Beineke, et al.. (2016). The differentiated airway epithelium infected by influenza viruses maintains the barrier function despite a dramatic loss of ciliated cells. Scientific Reports. 6(1). 39668–39668. 83 indexed citations
15.
16.
Cong, Yingying, Xiaoxue Li, Xiaonan Lv, et al.. (2015). Porcine aminopeptidase N mediated polarized infection by porcine epidemic diarrhea virus in target cells. Virology. 478. 1–8. 30 indexed citations
17.
Meng, Fandan, et al.. (2014). A phage-displayed peptide recognizing porcine aminopeptidase N is a potent small molecule inhibitor of PEDV entry. Virology. 456-457. 20–27. 19 indexed citations
18.
19.
Meng, Fandan, Isabel Hennig‐Pauka, Christel Schwegmann‐Weßels, et al.. (2013). Replication characteristics of swine influenza viruses in precision-cut lung slices reflect the virulence properties of the viruses. Veterinary Research. 44(1). 110–110. 34 indexed citations
20.
Ren, Xiaofeng, Fandan Meng, Jiechao Yin, et al.. (2011). Action Mechanisms of Lithium Chloride on Cell Infection by Transmissible Gastroenteritis Coronavirus. PLoS ONE. 6(5). e18669–e18669. 48 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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