Kai Xu

7.4k citations
85 papers · 3.4k indexed · 3 hit papers · h-index 30

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • Viral Infections and Vectors
    • COVID-19 Clinical Research Studies
  • Virology top 5%

Papers in

Kai Xu

81 papers receiving 3.3k citations

Hit Papers

Immune evasion, infectivity, and fusogenicity of SARS-CoV-2 BA.2.86 and FLip variants 2024 · 71 citations
71202220262023202450100150

Peers

Kai Xu
Comparison fields: 5 of 120
  • Infectious Diseases 951
  • Virology 187
  • Cellular and Molecular Neuroscience 481
  • Genetics 258
  • Pathology and Forensic Medicine 391
Replace Kate J. Heesom with:
Kate J. Heesom United Kingdom
James F. Collawn United States
Wilbert C. Boelens Netherlands
Pascale Briand France
Wilfred A. Jefferies Canada
Malcolm R. Wood United States
Hao Xu China
Shu‐Wha Lin Taiwan
Marco Antonio Meraz‐Ríos Mexico
Peng Tan China
Kai Xu relative to Kate J. Heesom United Kingdom Kate J. Heesom's profile →
Citations per field
00.5×4.6×
Kate J. Heesom · 1×
Citations per year

Countries citing papers authored by Kai Xu

Since Specialization
Citations

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

Fields of papers citing papers by Kai Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kai 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 Kai Xu Line = papers co-authored together Kai Xu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20252
4 20250
5 20244
6 20241
7 20246
8
Immune evasion, infectivity, and fusogenicity of SARS-CoV-2 BA.2.86 and FLip variants
Hit paper breakdown →
202471
9 202344
10 202318
11 20216
12 202114
13 202015
14 202020
15 2014129
16 201357
17 201353
18 201326
19 2010208
20 2005253

About Kai Xu

Kai Xu is a scholar working on Virology, Infectious Diseases, Biophysics, Epidemiology and Analytical Chemistry, having authored 85 papers that have together received 3.4k indexed citations. Recurring topics across this work include Virology and Viral Diseases (15 papers), Ion channel regulation and function (10 papers), SARS-CoV-2 and COVID-19 Research (10 papers), Cardiac electrophysiology and arrhythmias (9 papers), HIV Research and Treatment (8 papers), Ion Transport and Channel Regulation (8 papers), Axon Guidance and Neuronal Signaling (7 papers) and Monoclonal and Polyclonal Antibodies Research (7 papers). The work is most often cited by research in Infectious Diseases (951 citations), Virology (187 citations), Cellular and Molecular Neuroscience (481 citations), Genetics (258 citations) and Pathology and Forensic Medicine (391 citations). Kai Xu has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Dimitar B. Nikolov, Lewis C. Becker, Juha P. Himanen, Christopher C. Broder, Ted M. Dawson, David L. Huso, David S. Bredt, Jay L. Zweíer, Kanagalaghatta R. Rajashankar and Yee‐Peng Chan. Their work appears in journals such as Proceedings of the National Academy of Sciences, Biochemical and Biophysical Research Communications, Nature Communications, Viruses and Cell Host & Microbe.

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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2026