Linbing Qu

1.1k citations
35 papers · 763 · h-index 19

Impact in

Papers in

    • SARS-CoV-2 and COVID-19 Research 9
    • Viral Infections and Vectors 8
    • COVID-19 Clinical Research Studies 4
    • Virology and Viral Diseases 5
    • Respiratory viral infections research 3

Linbing Qu

34 papers receiving 752 citations

Peers

Linbing Qu
Comparison fields: 5 of 81
  • Infectious Diseases 307
  • Immunology 122
  • Public Health, Environmental and Occupational Health 156
  • Epidemiology 178
  • Virology 23
Replace Husni Elbahesh with:
Husni Elbahesh Germany
Young‐Chan Kwon South Korea
Kan Xing Wu Singapore
Inna Ricardo-Lax United States
Chuan Young Ng Singapore
Miao Jiang China
Esther Furrer Switzerland
C J Chen Taiwan
Nadine M. Turza Germany
Linbing Qu relative to Husni Elbahesh Germany Husni Elbahesh's profile →
Citations per field
00.5×1.5×2.2×
Husni Elbahesh · 1×
Citations per year

Countries citing papers authored by Linbing Qu

Since Specialization
Citations

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

Fields of papers citing papers by Linbing Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202062
2 202060
3 201054
4 201952
5 201836
6 201736
7 201333
8 202133
9 202432
10 202131
11 202130
12 202129
13 202328
14 201927
15 201923
16 201722
17 202021
18 200919
19 202419
20 201818

About Linbing Qu

Linbing Qu is a scholar working on Infectious Diseases, Epidemiology, Public Health, Environmental and Occupational Health, Immunology and Genetics, having authored 35 papers that have together received 763 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (9 papers), Viral Infections and Vectors (8 papers), Mosquito-borne diseases and control (8 papers), Virology and Viral Diseases (5 papers), COVID-19 Clinical Research Studies (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Respiratory viral infections research (3 papers) and Virus-based gene therapy research (3 papers). The work is most often cited by research in Infectious Diseases (307 citations), Immunology (122 citations), Public Health, Environmental and Occupational Health (156 citations), Epidemiology (178 citations) and Virology (23 citations). Linbing Qu has collaborated with scholars based in China, Australia and Hong Kong. Frequent co-authors include Ling Chen, Min Guan, Wenjuan Tan, Chi‐Wai Wong, Liqiang Feng, Changhua Yi, Xianmiao Ye, Jinsong Liu, Feng Li and Pingchao Li. Their work appears in journals such as Emerging Microbes & Infections, Journal of Virology, Antiviral Research, Signal Transduction and Targeted Therapy and The FASEB Journal.

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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