Hongquan Wan

5.0k citations
49 papers · 3.5k indexed · 1 hit paper · h-index 25
Topics
Influenza Virus Research Studies (39 papers)Respiratory viral infections research (23 papers)Animal Disease Management and Epidemiology (12 papers)

In The Last Decade

Hongquan Wan

48 papers receiving 3.5k citations

Hit Papers

Structural and functional bases for broad-spectrum neutra...20092026201420202009250500750

Peers

Hongquan Wan
Comparison fields: 5 of 78
  • Epidemiology 3.2k
  • Agronomy and Crop Science 1.1k
  • Infectious Diseases 1.1k
  • Immunology 746
  • Molecular Biology 535
Replace Yumiko Matsuoka with:
Yumiko Matsuoka United States
Tatyana Matrosovich Germany
Rodney S. Daniels United Kingdom
Othmar G. Engelhardt United Kingdom
Xiangjie Sun United States
Raffael Nachbagauer United States
Claudia Pappas United States
Neal Van Hoeven United States
Seiya Yamayoshi Japan
Joost H. C. M. Kreijtz Netherlands
Hongquan Wan relative to Yumiko Matsuoka United States Yumiko Matsuoka's profile →
Citations per field
00.5×1.5×2.0×
Yumiko Matsuoka · 1×
Citations per year

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
#WorkIndexed citations
1 4
2 13
3 4
4 12
5 12
6 4
7 202
8 17
9 8
10 78
11 68
12 31
13 86
14 110
15 94
16 53
17
Structural and functional bases for broad-spectrum neutralization of avian and human influenza A virusesbreakdown →
923
18 21
19 82
20 224

About Hongquan Wan

Hongquan Wan is a scholar working on Epidemiology, Agronomy and Crop Science and Endocrinology, having authored 49 papers that have together received 3.5k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (39 papers), Respiratory viral infections research (23 papers) and Animal Disease Management and Epidemiology (12 papers). The work is most often cited by research in Agronomy and Crop Science (1.1k citations), Epidemiology (3.2k citations) and Infectious Diseases (1.1k citations). Hongquan Wan has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Daniel R. Pérez, Maryna C. Eichelberger, Yantao Wu, Li‐Mei Chen, Rubén O. Donis, Haichen Song, Erin M. Sorrell, Daniel Aird, Nancy J. Cox and Wayne A. Marasco. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

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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