Qing Fan

4.3k total citations
47 papers, 1.9k citations indexed

About

Qing Fan is a scholar working on Molecular Biology, Infectious Diseases and Ecology. According to data from OpenAlex, Qing Fan has authored 47 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 14 papers in Infectious Diseases and 8 papers in Ecology. Recurrent topics in Qing Fan's work include SARS-CoV-2 and COVID-19 Research (12 papers), Microbial Community Ecology and Physiology (7 papers) and Protist diversity and phylogeny (6 papers). Qing Fan is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (12 papers), Microbial Community Ecology and Physiology (7 papers) and Protist diversity and phylogeny (6 papers). Qing Fan collaborates with scholars based in United States, China and Japan. Qing Fan's co-authors include Wayne A. Hendrickson, Don C. Wiley, Eric O. Long, Yong Geng, Lidia Mosyak, Martin Bush, Sigal Lechno‐Yossef, C. Peter Wölk, Henry M. Colecraft and Satoshi Tabata and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Qing Fan

42 papers receiving 1.9k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Qing Fan 1.0k 398 377 255 211 47 1.9k
David J. Palmer 1.1k 1.1× 107 0.3× 149 0.4× 70 0.3× 175 0.8× 42 2.1k
H. Robert Horvitz 2.7k 2.6× 486 1.2× 642 1.7× 40 0.2× 269 1.3× 16 4.3k
Helmut Reiländer 1.2k 1.1× 544 1.4× 94 0.2× 102 0.4× 130 0.6× 49 1.5k
Waleed Danho 2.0k 1.9× 901 2.3× 719 1.9× 41 0.2× 240 1.1× 99 3.5k
Christopher M. Adams 1.1k 1.0× 125 0.3× 84 0.2× 36 0.1× 380 1.8× 29 1.7k
Renaud Legouis 1.6k 1.5× 231 0.6× 130 0.3× 638 2.5× 505 2.4× 58 3.1k
Xinjiang Cai 1.2k 1.1× 379 1.0× 110 0.3× 167 0.7× 99 0.5× 64 2.5k
Liza A. Pon 4.7k 4.6× 799 2.0× 96 0.3× 66 0.3× 180 0.9× 88 5.6k
Charles S. Rubin 2.7k 2.6× 478 1.2× 132 0.4× 166 0.7× 255 1.2× 63 3.6k
Ferenc Orosz 1.3k 1.3× 233 0.6× 104 0.3× 45 0.2× 134 0.6× 78 2.1k

Countries citing papers authored by Qing Fan

Since Specialization
Citations

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

Fields of papers citing papers by Qing Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qing Fan

This figure shows the co-authorship network connecting the top 25 collaborators of Qing Fan. A scholar is included among the top collaborators of Qing Fan 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 Qing Fan. Qing Fan 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
1.
Fan, Qing, Congcong Liu, Huimin Guo, et al.. (2025). A distinctive IGHV3-66 SARS-CoV-2 neutralizing antibody elicited by primary infection with an Omicron variant. Structure. 33(7). 1165–1177.e6.
2.
Wang, Miao, Congcong Liu, Qing Fan, et al.. (2025). Rapid clonal expansion and somatic hypermutation contribute to the fate of SARS-CoV-2 broadly neutralizing antibodies. The Journal of Immunology. 214(2). 278–289.
3.
Gui, Qi, Haiyan Wang, Congcong Liu, et al.. (2025). NIEAs elicited by wild-type SARS-CoV-2 primary infection fail to enhance the infectivity of Omicron variants. Virology Journal. 22(1). 45–45.
4.
Gui, Qi, Congcong Liu, Bing Zhou, et al.. (2025). Structure and function of a pair of non-competing monoclonal antibodies against Langya henipavirus attachment glycoprotein. Cell Reports. 44(10). 116407–116407.
5.
Zuo, Hao, Jinseo Park, Wesley B. Asher, et al.. (2024). Promiscuous G-protein activation by the calcium-sensing receptor. Nature. 629(8011). 481–488. 15 indexed citations
6.
Yang, Haonan, Huimin Guo, Aojie Wang, et al.. (2024). Structural basis for the evolution and antibody evasion of SARS-CoV-2 BA.2.86 and JN.1 subvariants. Nature Communications. 15(1). 7715–7715. 16 indexed citations
7.
Guo, Huimin, Jie Jiang, Xiangyang Ge, et al.. (2023). Additional mutations based on Omicron BA.2.75 mediate its further evasion from broadly neutralizing antibodies. iScience. 26(4). 106283–106283. 8 indexed citations
8.
Ju, Bin, Qing Fan, Congcong Liu, et al.. (2023). Omicron BQ.1.1 and XBB.1 unprecedentedly escape broadly neutralizing antibodies elicited by prototype vaccination. Cell Reports. 42(6). 112532–112532. 14 indexed citations
9.
Zhou, Bing, Shuo Song, Huimin Guo, et al.. (2022). A fourth dose of Omicron RBD vaccine enhances broad neutralization against SARS‐CoV‐2 variants including BA.1 and BA.2 in vaccinated mice. Journal of Medical Virology. 94(8). 3992–3997. 6 indexed citations
10.
Li, Yaning, Qing Fan, Bing Zhou, et al.. (2022). Structural and functional analysis of an inter-Spike bivalent neutralizing antibody against SARS-CoV-2 variants. iScience. 25(6). 104431–104431. 8 indexed citations
11.
Song, Shuo, Bing Zhou, Lin Cheng, et al.. (2022). Sequential immunization with SARS-CoV-2 RBD vaccine induces potent and broad neutralization against variants in mice. Virology Journal. 19(1). 2–2. 12 indexed citations
12.
Fan, Qing, et al.. (2017). Structural biology of GABAB receptor. Neuropharmacology. 136(Pt A). 68–79. 67 indexed citations
13.
Liu, Zhi‐Gang, et al.. (2014). Activation of α7nAChR by Nicotine Reduced the Th17 Response in CD4+T Lymphocytes. Immunological Investigations. 43(7). 667–674. 25 indexed citations
14.
Geng, Yong, et al.. (2013). Structural mechanism of ligand activation in human GABAB receptor. Nature. 504(7479). 254–259. 154 indexed citations
15.
López‐Igual, Rocío, Sigal Lechno‐Yossef, Qing Fan, et al.. (2012). A Major Facilitator Superfamily Protein, HepP, Is Involved in Formation of the Heterocyst Envelope Polysaccharide in the Cyanobacterium Anabaena sp. Strain PCC 7120. Journal of Bacteriology. 194(17). 4677–4687. 17 indexed citations
16.
Fan, Qing & Wayne A. Hendrickson. (2008). Comparative structural analysis of the binding domain of follicle stimulating hormone receptor. Proteins Structure Function and Bioinformatics. 72(1). 393–401. 13 indexed citations
17.
Fan, Qing & Wayne A. Hendrickson. (2005). Structure of human follicle-stimulating hormone in complex with its receptor. Nature. 433(7023). 269–277. 446 indexed citations
18.
Fan, Qing & Wayne A. Hendrickson. (2005). Structural Biology of Glycoprotein Hormones and their Receptors. Endocrine. 26(3). 179–188. 32 indexed citations
19.
Garboczi, David N., et al.. (1998). A mutant human β2-microglobulin can be used to generate diverse multimeric class I peptide complexes as specific probes for T cell receptors. Journal of Immunological Methods. 214(1-2). 41–50. 5 indexed citations
20.
Liu, Jia, Qing Fan, Mikiko Sodeoka, William S. Lane, & Gregory L. Verdine. (1994). DNA binding by an amino acid residue in the C-terminal half of the Rel homology region. Chemistry & Biology. 1(1). 47–55. 14 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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