Kun Qu

3.4k citations
17 papers · 1.8k indexed · 2 hit papers · h-index 11

Impact in

Papers in

Kun Qu

16 papers receiving 1.7k citations

Hit Papers

A Bayesian approach to single-particle electron cryo-tomography in RELION-4.0 2022 · 170 citations
1702020202620222024200400600

Peers

Kun Qu
Comparison fields: 5 of 119
  • Structural Biology 137
  • Biochemistry 445
  • Infectious Diseases 688
  • Endocrine and Autonomic Systems 168
  • Virology 75
Replace Michael Duszenko with:
Michael Duszenko Germany
Dapeng Sun United States
Ray Yu‐Ruei Wang United States
Lijie Wu China
Jiansen Jiang United States
Mazdak Radjainia New Zealand
Yan Tan China
Shaun Rawson United States
Nobuo N. Noda Japan
Francisco Guerra Spain
Kun Qu relative to Michael Duszenko Germany Michael Duszenko's profile →
Citations per field
00.5×7.5×
Michael Duszenko · 1×
Citations per year

Countries citing papers authored by Kun Qu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Kun Qu Line = papers co-authored together Kun Qu links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 20252
2 20250
3 20241
4 20245
5
A Bayesian approach to single-particle electron cryo-tomography in RELION-4.0
Hit paper breakdown →
2022170
6 202217
7 202216
8 202174
9
Structures and distributions of SARS-CoV-2 spike proteins on intact virions
Hit paper breakdown →
2020740
10 202062
11 201879
12 201864
13 20144
14 20113
15 2007230
16 200654
17 2006244

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.

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2026