Xiao-Ning Xu

2.4k citations
7 papers · 1.7k indexed · 1 hit paper · h-index 7
  • Immunology top 5%
    • interferon and immune responses 2
    • Immune Cell Function and Interaction 2
    • SARS-CoV-2 and COVID-19 Research 2
  • Virology top 5%
    • Influenza Virus Research Studies 3
    • Respiratory viral infections research 2
  • Neurology top 10%
    • vaccines and immunoinformatics approaches 1
    • Cell death mechanisms and regulation 1
    • Diabetes and associated disorders 1

Xiao-Ning Xu

7 papers receiving 1.6k citations

Hit Papers

Preexisting influenza-specific CD4+ T cells correlate wit...7662012202620162021250500750

Peers

Xiao-Ning Xu
Comparison fields: 5 of 77
  • Immunology 853
  • Infectious Diseases 676
  • Virology 153
  • Epidemiology 679
  • Neurology 148
Replace Sophie A. Valkenburg with:
Sophie A. Valkenburg Hong Kong
K. Kai McKinstry United States
Bobo Wing-Yee Mok Hong Kong
Gaurav D. Gaiha United States
Hyon‐Xhi Tan Australia
Wen Shi Lee Australia
Sinthujan Jegaskanda Australia
Alina Baum United States
Margherita Rosati United States
Kerrie Vaughan United States
Xiao-Ning Xu relative to Sophie A. Valkenburg Hong Kong Sophie A. Valkenburg's profile →
Citations per field
00.5×4.0×
Sophie A. Valkenburg · 1×
Citations per year

Countries citing papers authored by Xiao-Ning Xu

Since Specialization
Citations

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

Fields of papers citing papers by Xiao-Ning Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiao-Ning Xu. 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 Xiao-Ning Xu. The network helps show where Xiao-Ning Xu may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Xiao-Ning Xu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xiao-Ning Xu Line = papers co-authored together Xiao-Ning Xu links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 201443
2
Preexisting influenza-specific CD4+ T cells correlate with disease protection against influenza challenge in humansbreakdown →
2012766
3 2009103
4 2008365
5 200163
6 1997184
7 1997166

About Xiao-Ning Xu

Xiao-Ning Xu is a scholar working on Virology, Immunology and Infectious Diseases, having authored 7 papers that have together received 1.7k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Respiratory viral infections research (2 papers), interferon and immune responses (2 papers), Immune Cell Function and Interaction (2 papers), vaccines and immunoinformatics approaches (1 paper), Diabetes and associated disorders (1 paper) and Cell death mechanisms and regulation (1 paper). The work is most often cited by research in Immunology (853 citations), Infectious Diseases (676 citations) and Virology (153 citations). Xiao-Ning Xu has collaborated with scholars based in United Kingdom, United States and Taiwan. Frequent co-authors include Andrew J. McMichael, Gavin Screaton, Daniel C. Douek, Tao Dong, Tom Wilkinson, Cecilia Chui, Rob Lambkin‐Williams, John Oxford, Anthony Gilbert and Molly Perkins.

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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