Xiaowang Qu

2.1k citations
35 papers · 1.0k indexed · 1 hit paper · h-index 15

Xiaowang Qu

34 papers receiving 996 citations

Hit Papers

The significant immune escape of pseudotyped SARS-CoV-2 v...248202120262022202450100150200

Peers

Xiaowang Qu
Comparison fields: 5 of 89
  • Infectious Diseases 660
  • Hepatology 80
  • Virology 47
  • Neurology 142
  • Epidemiology 309
Replace Bi-Hung Peng with:
Bi-Hung Peng United States
Emanuela Pelosi United Kingdom
Jingyou Yu United States
James T. Earnest United States
Florian Wrensch Germany
Sandra Lester United States
Emma S. Winkler United States
Wenjing Wang China
Daniel Limonta Canada
Chris Chung‐Sing Chan Hong Kong
Xiaowang Qu relative to Bi-Hung Peng United States Bi-Hung Peng's profile →
Citations per field
00.5×2.8×
Bi-Hung Peng · 1×
Citations per year

Countries citing papers authored by Xiaowang Qu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaowang Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20255
2 20242
3 20243
4 20241
5 20226
6 202213
7
The significant immune escape of pseudotyped SARS-CoV-2 variant Omicronbreakdown →
2021248
8 202113
9 202123
10 201944
11 20199
12 201814
13 20179
14 201631
15 201618
16 201334
17 200942
18 200739
19
Human Bocavirus Infection among the Hospitalized Children with Acute Respiratory Tract Disease in China
20060
20
Phylogenetic and Sequence Analyses of the N and S Genes of Coronavirus HKU1,a Novel Human Coronavirus in Mainland China
20061

About Xiaowang Qu

Xiaowang Qu is a scholar working on Hepatology, Infectious Diseases and Epidemiology, having authored 35 papers that have together received 1.0k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (11 papers), Hepatitis C virus research (10 papers), Respiratory viral infections research (8 papers), COVID-19 Clinical Research Studies (6 papers), Hepatitis B Virus Studies (6 papers), Liver Disease Diagnosis and Treatment (4 papers), Mosquito-borne diseases and control (4 papers) and Parvovirus B19 Infection Studies (4 papers). The work is most often cited by research in Infectious Diseases (660 citations), Hepatology (80 citations) and Virology (47 citations). Xiaowang Qu has collaborated with scholars based in China, United States and New Zealand. Frequent co-authors include Wenpei Liu, Weijin Huang, Jian Zhang, Youchun Wang, Qianqian Li, Bo Wen, Ziteng Liang, Li Zhang, Shuo Liu and Tao Li. Their work appears in journals such as Journal of Virology, Scientific Reports and Biochemical and Biophysical Research 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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