Kun Qu
Impact in
- Structural Biology top 1%
- Advanced Electron Microscopy Techniques and Applications
- Biochemistry top 1%
- Sulfur Compounds in Biology
Papers in
- Virology 4
- HIV Research and Treatment 4
- Co-authors
- John A. G. BriggsHans‐Georg KräusslichZunlong KeJoaquı́n OtónJasenko ZivanovSjors H. W. ScheresPeter T.‐H. WongChristopher Chen
- Journals
- Nature (3 papers)International Journal of Biological Macromolecules (1 paper)Science Advances (1 paper)International Journal of Molecular Sciences (1 paper)Molecular Cell (1 paper)
- Partner nations
- United KingdomGermanySingapore
In The Last Decade
Kun Qu
16 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Structural Biology 137
- Biochemistry 445
- Infectious Diseases 688
- Endocrine and Autonomic Systems 168
- Virology 75
Countries citing papers authored by Kun Qu
This map shows the geographic impact of Kun 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 Kun Qu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Qu more than expected).
Fields of papers citing papers by Kun Qu
This network shows the impact of papers produced by Kun 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 Kun Qu. The network helps show where Kun Qu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kun Qu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 5 | |
| 5 | A Bayesian approach to single-particle electron cryo-tomography in RELION-4.0 Hit paper breakdown → | 2022 | 170 |
| 6 | 2022 | 17 | |
| 7 | 2022 | 16 | |
| 8 | 2021 | 74 | |
| 9 | Structures and distributions of SARS-CoV-2 spike proteins on intact virions Hit paper breakdown → | 2020 | 740 |
| 10 | 2020 | 62 | |
| 11 | 2018 | 79 | |
| 12 | 2018 | 64 | |
| 13 | 2014 | 4 | |
| 14 | 2011 | 3 | |
| 15 | 2007 | 230 | |
| 16 | 2006 | 54 | |
| 17 | 2006 | 244 |
About Kun Qu
Kun Qu is a scholar working on Structural Biology, Virology, Biochemistry, Radiation and Infectious Diseases, having authored 17 papers that have together received 1.8k indexed citations. Recurring topics across this work include HIV Research and Treatment (4 papers), RNA and protein synthesis mechanisms (4 papers), interferon and immune responses (3 papers), Sulfur Compounds in Biology (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Advanced X-ray Imaging Techniques (2 papers), Lipid Membrane Structure and Behavior (2 papers) and HIV/AIDS drug development and treatment (2 papers). The work is most often cited by research in Structural Biology (137 citations), Biochemistry (445 citations), Infectious Diseases (688 citations), Endocrine and Autonomic Systems (168 citations) and Virology (75 citations). Kun Qu has collaborated with scholars based in United Kingdom, Germany and Singapore. Frequent co-authors include John A. G. Briggs, Hans‐Georg Kräusslich, Zunlong Ke, Joaquı́n Otón, Jasenko Zivanov, Sjors H. W. Scheres, Peter T.‐H. Wong, Christopher Chen, Barry Halliwell and Vojtěch Žíla. Their work appears in journals such as Nature, International Journal of Biological Macromolecules, Science Advances, International Journal of Molecular Sciences and Molecular Cell.
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.