Xiu‐Feng Wan

5.9k total citations
153 papers, 4.0k citations indexed

About

Xiu‐Feng Wan is a scholar working on Epidemiology, Agronomy and Crop Science and Molecular Biology. According to data from OpenAlex, Xiu‐Feng Wan has authored 153 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 97 papers in Epidemiology, 53 papers in Agronomy and Crop Science and 50 papers in Molecular Biology. Recurrent topics in Xiu‐Feng Wan's work include Influenza Virus Research Studies (93 papers), Animal Disease Management and Epidemiology (53 papers) and Respiratory viral infections research (43 papers). Xiu‐Feng Wan is often cited by papers focused on Influenza Virus Research Studies (93 papers), Animal Disease Management and Epidemiology (53 papers) and Respiratory viral infections research (43 papers). Xiu‐Feng Wan collaborates with scholars based in United States, China and Canada. Xiu‐Feng Wan's co-authors include Jizhong Zhou, Zhipeng Cai, Dong Xu, Richard J. Webby, Li-Ping Long, Tong Zhang, Xueduan Liu, Liyou Wu, William B. Epperson and Sung‐Keun Rhee and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Bioinformatics.

In The Last Decade

Xiu‐Feng Wan

152 papers receiving 3.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiu‐Feng Wan United States 33 2.1k 1.3k 1.1k 1.0k 414 153 4.0k
Yīmíng Bào China 34 1.5k 0.7× 2.1k 1.7× 1.1k 1.0× 499 0.5× 318 0.8× 102 4.7k
Junzhi Wang China 39 1.4k 0.7× 1.8k 1.4× 1.9k 1.7× 570 0.6× 825 2.0× 274 5.4k
Rebecca Halpin United States 40 2.5k 1.2× 962 0.8× 2.3k 2.1× 904 0.9× 378 0.9× 92 4.7k
Aeron C. Hurt Australia 44 4.9k 2.4× 1.2k 0.9× 1.7k 1.5× 1.0k 1.0× 1.1k 2.6× 136 6.1k
Dong‐Hun Lee South Korea 40 3.3k 1.6× 598 0.5× 2.3k 2.1× 2.0k 1.9× 412 1.0× 260 5.3k
Paul Warrener United States 29 1.3k 0.6× 1.6k 1.3× 1.4k 1.3× 222 0.2× 426 1.0× 42 4.2k
Anice C. Lowen United States 39 4.7k 2.3× 861 0.7× 2.3k 2.1× 1.6k 1.6× 1.1k 2.7× 95 6.8k
Yi‐Mo Deng Australia 29 2.0k 1.0× 704 0.6× 743 0.7× 490 0.5× 635 1.5× 88 3.1k
Konstantin Chumakov United States 39 934 0.5× 1.6k 1.3× 2.2k 2.0× 352 0.3× 507 1.2× 173 4.9k
Miguel Ángel Martı́nez Spain 43 1.0k 0.5× 1.8k 1.4× 2.0k 1.8× 961 0.9× 391 0.9× 172 6.0k

Countries citing papers authored by Xiu‐Feng Wan

Since Specialization
Citations

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

Fields of papers citing papers by Xiu‐Feng Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiu‐Feng Wan. 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 Xiu‐Feng Wan. The network helps show where Xiu‐Feng Wan may publish in the future.

Co-authorship network of co-authors of Xiu‐Feng Wan

This figure shows the co-authorship network connecting the top 25 collaborators of Xiu‐Feng Wan. A scholar is included among the top collaborators of Xiu‐Feng Wan 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 Xiu‐Feng Wan. Xiu‐Feng Wan 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.
Goel, Varun, et al.. (2025). Ecological drivers of evolution of swine influenza in the United States: a review. Emerging Microbes & Infections. 14(1). 2455598–2455598. 3 indexed citations
2.
Wen, Feng, Minhui Guan, Lei Li, et al.. (2024). MAIVeSS: streamlined selection of antigenically matched, high-yield viruses for seasonal influenza vaccine production. Nature Communications. 15(1). 1128–1128. 2 indexed citations
3.
He, Ying, Muthana Al‐Amidie, Amjed Abdullah, et al.. (2023). A microfluidic biosensor architecture for the rapid detection of COVID-19. Analytica Chimica Acta. 1275. 341378–341378. 15 indexed citations
4.
Cao, Xuefeng, Shuaishuai Wang, Madhusudhan Reddy Gadi, et al.. (2022). Systematic synthesis of bisected N-glycans and unique recognitions by glycan-binding proteins. Chemical Science. 13(25). 7644–7656. 12 indexed citations
5.
Wan, Xiu‐Feng, et al.. (2022). Influenza Virus Infections in Polarized Cells. Viruses. 14(6). 1307–1307. 3 indexed citations
6.
Wang, Shuaishuai, Congcong Chen, Minhui Guan, et al.. (2021). Terminal Epitope-Dependent Branch Preference of Siglecs Toward N-Glycans. Frontiers in Molecular Biosciences. 8. 645999–645999. 10 indexed citations
7.
Han, Lei, et al.. (2021). Triple reassortment increases compatibility among viral ribonucleoprotein genes of contemporary avian and human influenza A viruses. PLoS Pathogens. 17(10). e1009962–e1009962. 3 indexed citations
8.
Criado, Miriã F., Mariana Sá e Silva, Dong‐Hun Lee, et al.. (2020). Cross-Protection by Inactivated H5 Prepandemic Vaccine Seed Strains against Diverse Goose/Guangdong Lineage H5N1 Highly Pathogenic Avian Influenza Viruses. Journal of Virology. 94(24). 15 indexed citations
9.
Zhang, Xiaojian, Hailiang Sun, Fred L. Cunningham, et al.. (2018). Tissue tropisms opt for transmissible reassortants during avian and swine influenza A virus co-infection in swine. PLoS Pathogens. 14(12). e1007417–e1007417. 18 indexed citations
10.
Li, Lei, Thomas J. DeLiberto, Mary Lea Killian, Mia Kim Torchetti, & Xiu‐Feng Wan. (2018). Evolutionary pathway for the 2017 emergence of a novel highly pathogenic avian influenza A(H7N9) virus among domestic poultry in Tennessee, United States. Virology. 525. 32–39. 5 indexed citations
11.
Wu, Zhigang, Yunpeng Liu, Lei Li, et al.. (2017). Decoding glycan protein interactions by a new class of asymmetric N-glycans. Organic & Biomolecular Chemistry. 15(42). 8946–8951. 10 indexed citations
12.
Luo, Junrong, Lucas Ferguson, David R. Smith, et al.. (2016). Serological evidence for high prevalence of Influenza D Viruses in Cattle, Nebraska, United States, 2003–2004. Virology. 501. 88–91. 46 indexed citations
13.
Su, Wen, Chengmin Wang, Jing Luo, et al.. (2015). Testing the Effect of Internal Genes Derived from a Wild-Bird-Origin H9N2 Influenza A Virus on the Pathogenicity of an A/H7N9 Virus. Cell Reports. 12(11). 1831–1841. 13 indexed citations
14.
Ye, Jianqiang, Feng Wen, Yifei Xu, et al.. (2015). Error-prone pcr-based mutagenesis strategy for rapidly generating high-yield influenza vaccine candidates. Virology. 482. 234–243. 13 indexed citations
15.
Ferguson, Lucas, William B. Epperson, Li-Ping Long, et al.. (2015). Influenza D virus infection in Mississippi beef cattle. Virology. 486. 28–34. 104 indexed citations
16.
Yang, Jialiang, et al.. (2014). Sequence-Based Antigenic Change Prediction by a Sparse Learning Method Incorporating Co-Evolutionary Information. PLoS ONE. 9(9). e106660–e106660. 23 indexed citations
17.
Ye, Jianqiang, Yifei Xu, Hailiang Sun, et al.. (2013). Mutation from arginine to lysine at the position 189 of hemagglutinin contributes to the antigenic drift in H3N2 swine influenza viruses. Virology. 446(1-2). 225–229. 14 indexed citations
18.
Chen, Guangjie, et al.. (2007). CodonO: codon usage bias analysis within and across genomes. Nucleic Acids Research. 35(Web Server). W132–W136. 100 indexed citations
19.
Wu, Xiao‐Meng, Xiu‐Feng Wan, Gang Wu, Dong Xu, & Guohui Lin. (2006). Phylogenetic analysis using complete signature information of whole genomes and clustered Neighbour-Joining method. International Journal of Bioinformatics Research and Applications. 2(3). 219–219. 43 indexed citations
20.
Wan, Xiu‐Feng, et al.. (2002). INTERACTIVE CLUSTERING FOR EXPLORATION OF GENOMIC DATA. 1 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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