Qiangjun Zhou

2.7k total citations · 1 hit paper
39 papers, 1.9k citations indexed

About

Qiangjun Zhou is a scholar working on Molecular Biology, Cell Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Qiangjun Zhou has authored 39 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 19 papers in Cell Biology and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in Qiangjun Zhou's work include Cellular transport and secretion (19 papers), Lipid Membrane Structure and Behavior (13 papers) and Neuroscience and Neuropharmacology Research (7 papers). Qiangjun Zhou is often cited by papers focused on Cellular transport and secretion (19 papers), Lipid Membrane Structure and Behavior (13 papers) and Neuroscience and Neuropharmacology Research (7 papers). Qiangjun Zhou collaborates with scholars based in United States, China and Germany. Qiangjun Zhou's co-authors include Axel T. Brünger, Minglei Zhao, Ying Lai, Ucheor B. Choi, Sandro Vivona, Richard A. Pfuetzner, Jeremy Leitz, Jiajie Diao, Thomas C. Südhof and Fei Sun and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Qiangjun Zhou

37 papers receiving 1.9k citations

Hit Papers

ATG14 promotes membrane tethering and fusion of autophago... 2015 2026 2018 2022 2015 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Qiangjun Zhou United States 22 1.3k 938 384 379 228 39 1.9k
Wei Feng China 32 1.8k 1.4× 1.2k 1.3× 447 1.2× 360 0.9× 119 0.5× 90 3.1k
Elena V. Polishchuk Italy 21 1.2k 0.9× 805 0.9× 195 0.5× 156 0.4× 141 0.6× 29 2.1k
Michael J. Ragusa United States 18 1.1k 0.9× 582 0.6× 135 0.4× 625 1.6× 141 0.6× 41 1.8k
Song Liu China 21 1.1k 0.9× 589 0.6× 303 0.8× 358 0.9× 58 0.3× 61 1.9k
Francesca Giordano France 20 1.7k 1.3× 1.2k 1.3× 241 0.6× 397 1.0× 152 0.7× 34 2.3k
Louise Lucast United States 17 1.5k 1.1× 1.2k 1.2× 219 0.6× 155 0.4× 176 0.8× 18 2.0k
Alexey Rak Germany 24 1.7k 1.3× 1.1k 1.1× 112 0.3× 142 0.4× 188 0.8× 53 2.4k
Daniel W. Summers United States 17 1.1k 0.8× 429 0.5× 537 1.4× 250 0.7× 284 1.2× 24 2.1k
Brooke J. Bevis United States 12 1.5k 1.1× 1.0k 1.1× 306 0.8× 142 0.4× 63 0.3× 15 2.1k
Carlos M. Guardia United States 20 967 0.7× 871 0.9× 213 0.6× 630 1.7× 322 1.4× 33 2.0k

Countries citing papers authored by Qiangjun Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Qiangjun Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qiangjun Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Qiangjun Zhou. A scholar is included among the top collaborators of Qiangjun Zhou based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Qiangjun Zhou. Qiangjun Zhou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Mueller, Benjamin K., Ali İ. Kaya, Marian F. Young, et al.. (2025). Molecular basis for Gβγ-SNARE-mediated inhibition of synaptic vesicle fusion. Journal of Biological Chemistry. 301(8). 110377–110377.
3.
Sun, Rong, et al.. (2025). The postsynaptic density in excitatory synapses is composed of clustered, heterogeneous nanoblocks. The Journal of Cell Biology. 224(6). 2 indexed citations
4.
Zhou, Qiangjun. (2023). Calcium Sensors of Neurotransmitter Release. Advances in neurobiology. 33. 119–138. 1 indexed citations
5.
Pi, Hualiang, Rong Sun, James R. McBride, et al.. (2023). Clostridioides difficile ferrosome organelles combat nutritional immunity. Nature. 623(7989). 1009–1016. 35 indexed citations
6.
Lai, Ying, Michael J. Tuvim, Jeremy Leitz, et al.. (2022). Screening of Hydrocarbon-Stapled Peptides for Inhibition of Calcium-Triggered Exocytosis. Frontiers in Pharmacology. 13. 891041–891041. 7 indexed citations
7.
Zhou, Qiangjun, Ok‐Ho Shin, Luis Esquivies, et al.. (2020). Role of Aberrant Spontaneous Neurotransmission in SNAP25-Associated Encephalopathies. Neuron. 109(1). 59–72.e5. 47 indexed citations
8.
Brünger, Axel T., Ucheor B. Choi, Ying Lai, et al.. (2019). The pre-synaptic fusion machinery. Current Opinion in Structural Biology. 54. 179–188. 64 indexed citations
9.
Zhou, Qiangjun, Peng Zhou, Austin L. Wang, et al.. (2017). The primed SNARE–complexin–synaptotagmin complex for neuronal exocytosis. Nature. 548(7668). 420–425. 195 indexed citations
10.
Zhou, Qiangjun, et al.. (2016). Influence of Soil Surface Sodium Ion and Soil pH on Dispersion of Cohesive Soil. SHILAP Revista de lepidopterología. 2 indexed citations
11.
Zeldin, Oliver B., Aaron S. Brewster, Johan Hattne, et al.. (2015). Data Exploration Toolkitfor serial diffraction experiments. Acta Crystallographica Section D Biological Crystallography. 71(2). 352–356. 21 indexed citations
12.
Zhao, Minglei, Shenping Wu, Qiangjun Zhou, et al.. (2015). Mechanistic insights into the recycling machine of the SNARE complex. Nature. 518(7537). 61–67. 194 indexed citations
13.
Diao, Jiajie, Rong Liu, Yueguang Rong, et al.. (2015). ATG14 promotes membrane tethering and fusion of autophagosomes to endolysosomes. Nature. 520(7548). 563–566. 443 indexed citations breakdown →
14.
Zhou, Qiangjun, Ying Lai, Taulant Bacaj, et al.. (2015). Architecture of the synaptotagmin–SNARE machinery for neuronal exocytosis. Nature. 525(7567). 62–67. 250 indexed citations
15.
Zhou, Qiangjun, Hang Yu, Yujia Zhai, et al.. (2014). Molecular insights into the membrane-associated phosphatidylinositol 4-kinase IIα. Nature Communications. 5(1). 3552–3552. 47 indexed citations
16.
Sun, Fei, et al.. (2013). Revealing various coupling of electron transfer and proton pumping in mitochondrial respiratory chain. Current Opinion in Structural Biology. 23(4). 526–538. 40 indexed citations
17.
Bai, Ming, Xiaoyun Pang, Jizhong Lou, et al.. (2012). Mechanistic Insights into Regulated Cargo Binding by ACAP1 Protein. Journal of Biological Chemistry. 287(34). 28675–28685. 26 indexed citations
18.
Zhou, Qiangjun, Yujia Zhai, Jizhong Lou, et al.. (2011). Thiabendazole inhibits ubiquinone reduction activity of mitochondrial respiratory complex II via a water molecule mediated binding feature. Protein & Cell. 2(7). 531–542. 38 indexed citations
19.
Huo, Yanwu, Kai Zhang, Li Wang, et al.. (2010). Crystal Structure of Group II Chaperonin in the Open State. Structure. 18(10). 1270–1279. 30 indexed citations
20.
Chao, Lijun, Qiangjun Zhou, Shuai Chen, & Shuang Cui. (2006). Speciation Distribution of Lead and Zinc in Soil Profiles of the Shenyang Smeltery in Northeast China. Bulletin of Environmental Contamination and Toxicology. 77(6). 874–881. 5 indexed citations

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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