Qingshan Fu

1.2k total citations
32 papers, 868 citations indexed

About

Qingshan Fu is a scholar working on Molecular Biology, Virology and Infectious Diseases. According to data from OpenAlex, Qingshan Fu has authored 32 papers receiving a total of 868 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 8 papers in Virology and 5 papers in Infectious Diseases. Recurrent topics in Qingshan Fu's work include HIV Research and Treatment (8 papers), Lipid Membrane Structure and Behavior (6 papers) and HIV/AIDS drug development and treatment (4 papers). Qingshan Fu is often cited by papers focused on HIV Research and Treatment (8 papers), Lipid Membrane Structure and Behavior (6 papers) and HIV/AIDS drug development and treatment (4 papers). Qingshan Fu collaborates with scholars based in China, United States and United Kingdom. Qingshan Fu's co-authors include James J. Chou, Alessandro Piai, Jyoti Dev, Bing Chen, Zhijun Liu, Tian‐Min Fu, Hao Wu, Michael S. Seaman, Wen Chen and Fadi Ghantous and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Qingshan Fu

31 papers receiving 861 citations

Peers

Qingshan Fu

IMMUN

VIROL

ONCOL

Víctor Buzón Spain

Alessandro Piai United States

Henry J. George United States

Paul Tawa United States

Mayuko Nishi Japan

Simone Kunzelmann United Kingdom

Henry C. Nguyen United States

Andrew V. Oleinikov United States

Dawn L. Hall United States

Mihai L. Azoitei United States

Víctor Buzón Spain

Qingshan Fu

453 ×0.8

125 ×0.7

IMMUN

229 ×1.5

VIROL

103 ×0.8

26 ×0.3

ONCOL

Citations per year, relative to Qingshan Fu Qingshan Fu (= 1×) peers Víctor Buzón

Countries citing papers authored by Qingshan Fu

Since Specialization

Citations

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

Fields of papers citing papers by Qingshan Fu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qingshan Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Qingshan Fu. A scholar is included among the top collaborators of Qingshan Fu 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 Qingshan Fu. Qingshan Fu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Xie, Junqiu, et al.. (2025). Strategies for Tag Design and Removal in the Expression and Purification of Recombinant Proteins. 4–4. 1 indexed citations

Wei, Huan, et al.. (2024). Identification of immune patterns in idiopathic pulmonary fibrosis patients driven by PLA2G7-positive macrophages using an integrated machine learning survival framework. Scientific Reports. 14(1). 22369–22369. 4 indexed citations

Chen, Jiali, et al.. (2023). Interaction between membrane curvature sensitive factors SpoVM and SpoIVA in Bicelle condition. Biochemical and Biophysical Research Communications. 694. 149395–149395. 2 indexed citations

Liu, Zhen, Qingshan Fu, Yu Wang, et al.. (2020). Synergy between vinorelbine and afatinib in the inhibition of non-small cell lung cancer progression by EGFR and p53 signaling pathways. Biomedicine & Pharmacotherapy. 134. 111144–111144. 15 indexed citations

Zhao, Linlin, Qingshan Fu, Liqiang Pan, Alessandro Piai, & James J. Chou. (2020). The Diversity and Similarity of Transmembrane Trimerization of TNF Receptors. Frontiers in Cell and Developmental Biology. 8. 569684–569684. 20 indexed citations

Xiao, Tianshu, Gary Frey, Qingshan Fu, et al.. (2020). HIV-1 fusion inhibitors targeting the membrane-proximal external region of Env spikes. Nature Chemical Biology. 16(5). 529–537. 29 indexed citations

Liu, Hongyu, et al.. (2020). Anti-tubulin agent vinorelbine inhibits metastasis of cancer cells by regulating epithelial-mesenchymal transition. European Journal of Medicinal Chemistry. 200. 112332–112332. 23 indexed citations

Piai, Alessandro, Qingshan Fu, Yongfei Cai, et al.. (2020). Structural basis of transmembrane coupling of the HIV-1 envelope glycoprotein. Nature Communications. 11(1). 2317–2317. 33 indexed citations

Chen, Wen, Yongfei Cai, Qingshan Fu, et al.. (2019). Unidirectional Presentation of Membrane Proteins in Nanoparticle‐Supported Liposomes. Angewandte Chemie. 131(29). 9971–9975. 1 indexed citations

10.

Chen, Wen, Yongfei Cai, Qingshan Fu, et al.. (2019). Unidirectional Presentation of Membrane Proteins in Nanoparticle‐Supported Liposomes. Angewandte Chemie International Edition. 58(29). 9866–9870. 14 indexed citations

11.

Fu, Qingshan, Alessandro Piai, Wen Chen, Ke Xia, & James J. Chou. (2019). Structure determination protocol for transmembrane domain oligomers. Nature Protocols. 14(8). 2483–2520. 35 indexed citations

12.

Pan, Liqiang, Tian‐Min Fu, Wenbin Zhao, et al.. (2019). Higher-Order Clustering of the Transmembrane Anchor of DR5 Drives Signaling. Cell. 176(6). 1477–1489.e14. 105 indexed citations

13.

Fu, Qingshan, Tian‐Min Fu, Anthony Cruz, et al.. (2016). Structural Basis and Functional Role of Intramembrane Trimerization of the Fas/CD95 Death Receptor. Molecular Cell. 61(4). 602–613. 135 indexed citations

14.

Liu, Shuai, Qingshan Fu, Jian Zhao, & Hong‐Yu Hu. (2013). Structural and mechanistic insights into the arginine/lysine-rich peptide motifs that interact with P97/VCP. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1834(12). 2672–2678. 19 indexed citations

15.

Fu, Qingshan, Ai‐Xin Song, & Hong‐Yu Hu. (2012). Structural Aspects of Ubiquitin Binding Specificities. Current Protein and Peptide Science. 13(5). 482–489. 10 indexed citations

16.

Song, Ai‐Xin, Chenjie Zhou, Yu Peng, et al.. (2010). Structural Transformation of the Tandem Ubiquitin-Interacting Motifs in Ataxin-3 and Their Cooperative Interactions with Ubiquitin Chains. PLoS ONE. 5(10). e13202–e13202. 38 indexed citations

17.

Fu, Qingshan, Ai‐Xin Song, Su‐Xia Li, & Hong‐Yu Hu. (2009). The Small GTPase Activity of the ROC Domain from LRRK2, a Parkinsons Disease Related Protein. Protein and Peptide Letters. 16(12). 1442–1446. 2 indexed citations

18.

Fu, Qingshan, et al.. (2009). Structural Basis for Ubiquitin Recognition by a Novel Domain from Human Phospholipase A2-activating Protein. Journal of Biological Chemistry. 284(28). 19043–19052. 19 indexed citations

19.

Wu, Hao, Yan Yang, Ling‐Ling Chen, et al.. (2005). DCCP and DICP: Construction and Analyses of Databases for Copper- and Iron-Chelating Proteins. Genomics Proteomics & Bioinformatics. 3(1). 52–57. 3 indexed citations

20.

Fu, Qingshan, Feng Li, & Lingling Chen. (2005). Gene expression analysis of six GC-rich Gram-negative phytopathogens. Biochemical and Biophysical Research Communications. 332(2). 380–387. 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.

Explore authors with similar magnitude of impact