Hongquan Wan

5.0k total citations · 1 hit paper
49 papers, 3.5k citations indexed

About

Hongquan Wan is a scholar working on Epidemiology, Infectious Diseases and Agronomy and Crop Science. According to data from OpenAlex, Hongquan Wan has authored 49 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Epidemiology, 16 papers in Infectious Diseases and 12 papers in Agronomy and Crop Science. Recurrent topics in Hongquan Wan's work include Influenza Virus Research Studies (39 papers), Respiratory viral infections research (23 papers) and Animal Disease Management and Epidemiology (12 papers). Hongquan Wan is often cited by papers focused on Influenza Virus Research Studies (39 papers), Respiratory viral infections research (23 papers) and Animal Disease Management and Epidemiology (12 papers). Hongquan Wan collaborates with scholars based in United States, China and Netherlands. Hongquan Wan's co-authors include Daniel R. Pérez, Maryna C. Eichelberger, Yantao Wu, Rubén O. Donis, Li‐Mei Chen, Haichen Song, Erin M. Sorrell, Boguslaw Stec, Thomas Han and Anuradha Yammanuru and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Hongquan Wan

48 papers receiving 3.5k citations

Hit Papers

Structural and functional bases for broad-spectrum neutra... 2009 2026 2014 2020 2009 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hongquan Wan United States 25 3.2k 1.1k 1.1k 746 535 49 3.5k
Yumiko Matsuoka United States 29 3.0k 0.9× 1.5k 1.3× 1.3k 1.2× 738 1.0× 514 1.0× 59 3.4k
Claudia Pappas United States 27 2.7k 0.9× 1.1k 0.9× 1.0k 0.9× 855 1.1× 436 0.8× 56 3.1k
Othmar G. Engelhardt United Kingdom 25 2.0k 0.6× 375 0.3× 766 0.7× 768 1.0× 831 1.6× 58 2.6k
Neal Van Hoeven United States 25 1.7k 0.6× 647 0.6× 814 0.7× 852 1.1× 570 1.1× 43 2.5k
Aitor Nogales United States 34 1.7k 0.5× 413 0.4× 1.2k 1.1× 911 1.2× 942 1.8× 120 3.2k
Xiangjie Sun United States 26 1.6k 0.5× 603 0.5× 759 0.7× 458 0.6× 573 1.1× 71 2.3k
Jianzhong Shi China 34 3.4k 1.1× 2.2k 2.0× 1.9k 1.7× 614 0.8× 560 1.0× 110 4.2k
Tatyana Matrosovich Germany 16 2.2k 0.7× 455 0.4× 857 0.8× 747 1.0× 602 1.1× 26 2.8k
Rodney S. Daniels United Kingdom 23 2.0k 0.6× 490 0.4× 684 0.6× 484 0.6× 773 1.4× 53 2.5k
Jürgen Stech Germany 25 3.6k 1.1× 2.1k 1.8× 1.5k 1.4× 690 0.9× 582 1.1× 50 3.8k

Countries citing papers authored by Hongquan Wan

Since Specialization
Citations

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

Fields of papers citing papers by Hongquan Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongquan Wan

This figure shows the co-authorship network connecting the top 25 collaborators of Hongquan Wan. A scholar is included among the top collaborators of Hongquan 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 Hongquan Wan. Hongquan 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.
Kang, Hyeog, et al.. (2024). Capsid virus-like particle display improves recombinant influenza neuraminidase antigen stability and immunogenicity in mice. iScience. 27(6). 110038–110038. 4 indexed citations
3.
Klenow, Laura, Jin Gao, Hongquan Wan, et al.. (2023). Influenza virus and pneumococcal neuraminidases enhance catalysis by similar yet distinct sialic acid–binding strategies. Journal of Biological Chemistry. 299(2). 102891–102891. 13 indexed citations
4.
Stadlbauer, Daniel, Meagan McMahon, Hannah L. Turner, et al.. (2022). Antibodies targeting the neuraminidase active site inhibit influenza H3N2 viruses with an S245N glycosylation site. Nature Communications. 13(1). 7864–7864. 12 indexed citations
5.
Gao, Jin, Xing Li, Laura Klenow, et al.. (2022). Antigenic comparison of the neuraminidases from recent influenza A vaccine viruses and 2019–2020 circulating strains. npj Vaccines. 7(1). 79–79. 12 indexed citations
6.
Gentles, Lauren E., Hongquan Wan, Maryna C. Eichelberger, & Jesse D. Bloom. (2020). Antibody Neutralization of an Influenza Virus that Uses Neuraminidase for Receptor Binding. Viruses. 12(6). 597–597. 4 indexed citations
7.
Krammer, Florian, Ron A. M. Fouchier, Maryna C. Eichelberger, et al.. (2018). NAction! How Can Neuraminidase-Based Immunity Contribute to Better Influenza Virus Vaccines?. mBio. 9(2). 202 indexed citations
8.
Wan, Hongquan, et al.. (2017). Assessment of influenza A neuraminidase (subtype N1) potency by ELISA. Journal of Virological Methods. 244. 23–28. 17 indexed citations
9.
Wan, Hongquan, Hua Yang, D.A. Shore, et al.. (2015). Structural characterization of a protective epitope spanning A(H1N1)pdm09 influenza virus neuraminidase monomers. Nature Communications. 6(1). 6114–6114. 78 indexed citations
10.
Eichelberger, Maryna C. & Hongquan Wan. (2014). Influenza Neuraminidase as a Vaccine Antigen. Current topics in microbiology and immunology. 386. 275–299. 68 indexed citations
11.
Wan, Zhimin, Jianqiang Ye, Liangliang Xu, et al.. (2014). Antigenic Mapping of the Hemagglutinin of an H9N2 Avian Influenza Virus Reveals Novel Critical Amino Acid Positions in Antigenic Sites. Journal of Virology. 88(7). 3898–3901. 45 indexed citations
12.
Angel, Matthew, J. Brian Kimble, Lindomar Pena, Hongquan Wan, & Daniel R. Pérez. (2013). In Vivo Selection of H1N2 Influenza Virus Reassortants in the Ferret Model. Journal of Virology. 87(6). 3277–3283. 10 indexed citations
13.
Kimble, J. Brian, Matthew Angel, Hongquan Wan, et al.. (2013). Alternative Reassortment Events Leading to Transmissible H9N1 Influenza Viruses in the Ferret Model. Journal of Virology. 88(1). 66–71. 31 indexed citations
14.
Easterbrook, Judith D., Louis M. Schwartzman, Jin Gao, et al.. (2012). Protection against a lethal H5N1 influenza challenge by intranasal immunization with virus-like particles containing 2009 pandemic H1N1 neuraminidase in mice. Virology. 432(1). 39–44. 86 indexed citations
15.
Gu, Min, Wenbo Liu, Daxin Peng, et al.. (2011). Novel Reassortant Highly Pathogenic Avian Influenza (H5N5) Viruses in Domestic Ducks, China. Emerging infectious diseases. 17(6). 1060–1063. 94 indexed citations
16.
Tang, Yinghua, Peipei Wu, Daxin Peng, et al.. (2009). Characterization of duck H5N1 influenza viruses with differing pathogenicity in mallard (Anas platyrhynchos) ducks. Avian Pathology. 38(6). 457–467. 53 indexed citations
17.
Sui, Jianhua, W.C. Hwang, Sandra Pérez, et al.. (2009). Structural and functional bases for broad-spectrum neutralization of avian and human influenza A viruses. Nature Structural & Molecular Biology. 16(3). 265–273. 923 indexed citations breakdown →
18.
Sorrell, Erin M., et al.. (2009). Minimal molecular constraints for respiratory droplet transmission of an avian–human H9N2 influenza A virus. Proceedings of the National Academy of Sciences. 106(18). 7565–7570. 189 indexed citations
19.
Cao, Dongfeng, Ken-ichiro Fukuchi, Hongquan Wan, Helen Kim, & Ling Li. (2005). Lack of LDL receptor aggravates learning deficits and amyloid deposits in Alzheimer transgenic mice. Neurobiology of Aging. 27(11). 1632–1643. 82 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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