Kai Y. Xu

110 papers receiving 5.4k citations

Kai Y. Xu's Hit Papers

Immune evasion, infectivity, and fusogenicity of SARS-CoV-2 BA.2.86 and FLip variants 2024 · 101 citations
1010+1+2Years since publication50100150200

Peers

Kai Y. Xu
Comparison fields: 5 of 117
  • Virology 1.1k
  • Infectious Diseases 1.6k
  • Immunology 838
  • Epidemiology 1.1k
  • Radiology, Nuclear Medicine and Imaging 744
Replace Mary K. Collins with:
Mary K. Collins United Kingdom
Philip J. Barr United States
Jin Zhong China
Don J. Diamond United States
Susan Rae Ross United States
Bruce E. Torbett United States
Marlène Dreux France
Apurva Sarin India
Masakazu Hatanaka Japan
Kohji Moriishi Japan
Kai Y. Xu relative to Mary K. Collins United Kingdom Mary K. Collins's profile →
Citations per field
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Citations per year

Countries citing papers authored by Kai Y. Xu

Since Specialization
Citations

This map shows the geographic impact of Kai Y. 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 Y. 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 Y. Xu more than expected).

Fields of papers citing papers by Kai Y. Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 113 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999422
2 2016295
3 2005286
4 1997241
5 2018234
6 2010216
7
Enhanced neutralization resistance of SARS-CoV-2 Omicron subvariants BQ.1, BQ.1.1, BA.4.6, BF.7, and BA.2.75.2
Hit paper breakdown →
2022208
8 2021183
9 2008177
10 2017148
11 2014143
12
Enhanced evasion of neutralizing antibody response by Omicron XBB.1.5, CH.1.1, and CA.3.1 variants
Hit paper breakdown →
2023129
13 2013113
14 2019107
15 2022104
16
Immune evasion, infectivity, and fusogenicity of SARS-CoV-2 BA.2.86 and FLip variants
Hit paper breakdown →
2024101
17 201987
18 201585
19 201780
20 201378

About Kai Y. Xu

Kai Y. Xu is a scholar working on Virology, Infectious Diseases, Epidemiology, Radiology, Nuclear Medicine and Imaging and Molecular Biology, having authored 113 papers that have together received 5.5k indexed citations. Recurring topics across this work include HIV Research and Treatment (26 papers), Virology and Viral Diseases (17 papers), Monoclonal and Polyclonal Antibodies Research (16 papers), SARS-CoV-2 and COVID-19 Research (12 papers), vaccines and immunoinformatics approaches (12 papers), Ion channel regulation and function (9 papers), Cardiac electrophysiology and arrhythmias (8 papers) and Ion Transport and Channel Regulation (8 papers). The work is most often cited by research in Virology (1.1k citations), Infectious Diseases (1.6k citations), Immunology (838 citations), Epidemiology (1.1k citations) and Radiology, Nuclear Medicine and Imaging (744 citations). Kai Y. Xu has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Dimitar B. Nikolov, Lewis C. Becker, Christopher C. Broder, Juha P. Himanen, Ted M. Dawson, David S. Bredt, David L. Huso, Jay Louis Zweier, Kanagalaghatta Ramabhatta Rajashankar and Yi-Min Zheng. Their work appears in journals such as Proceedings of the National Academy of Sciences, Biochemical and Biophysical Research Communications, Cell Reports, Nature Communications and Journal of Virology.

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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