Changfa Fan

5.9k total citations · 2 hit papers
32 papers, 1.5k citations indexed

About

Changfa Fan is a scholar working on Infectious Diseases, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Changfa Fan has authored 32 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Infectious Diseases, 8 papers in Molecular Biology and 8 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Changfa Fan's work include Viral gastroenteritis research and epidemiology (9 papers), Viral Infections and Immunology Research (8 papers) and SARS-CoV-2 and COVID-19 Research (7 papers). Changfa Fan is often cited by papers focused on Viral gastroenteritis research and epidemiology (9 papers), Viral Infections and Immunology Research (8 papers) and SARS-CoV-2 and COVID-19 Research (7 papers). Changfa Fan collaborates with scholars based in China, United States and Czechia. Changfa Fan's co-authors include Youchun Wang, Weijin Huang, Li Zhang, Qianqian Li, Meng Wang, Jianhui Nie, Jiajing Wu, Haiyang Qin, Qiyu Sun and Xiaoyu Li and has published in prestigious journals such as Scientific Reports, Nature Protocols and Vaccine.

In The Last Decade

Changfa Fan

32 papers receiving 1.5k citations

Hit Papers

Establishment and validation of a pseudovirus neutralizat... 2020 2026 2022 2024 2020 2021 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
Changfa Fan China 14 1.1k 327 212 171 169 32 1.5k
Haiyang Qin China 9 1.5k 1.4× 504 1.5× 139 0.7× 272 1.6× 143 0.8× 16 1.8k
Rebecca Penn United Kingdom 9 1.1k 1.0× 430 1.3× 171 0.8× 156 0.9× 197 1.2× 10 1.5k
Maia Kavanagh Williamson United Kingdom 10 931 0.9× 384 1.2× 150 0.7× 163 1.0× 166 1.0× 13 1.3k
Paul W. Rothlauf United States 9 1.7k 1.6× 535 1.6× 150 0.7× 240 1.4× 206 1.2× 12 2.0k
Masafumi Sakata Japan 10 1.1k 1.0× 243 0.7× 234 1.1× 120 0.7× 114 0.7× 20 1.4k
Javier A. Jaimes United States 14 1.5k 1.4× 372 1.1× 125 0.6× 396 2.3× 140 0.8× 21 1.8k
Anurodh Shankar Agrawal United States 19 1.1k 1.0× 308 0.9× 397 1.9× 268 1.6× 251 1.5× 23 1.6k
Kun Wen China 17 886 0.8× 248 0.8× 131 0.6× 86 0.5× 139 0.8× 37 1.3k
Emma S. Winkler United States 15 1.2k 1.1× 350 1.1× 223 1.1× 166 1.0× 320 1.9× 20 1.7k

Countries citing papers authored by Changfa Fan

Since Specialization
Citations

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

Fields of papers citing papers by Changfa Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changfa Fan

This figure shows the co-authorship network connecting the top 25 collaborators of Changfa Fan. A scholar is included among the top collaborators of Changfa 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 Changfa Fan. Changfa 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.
Wang, Yu, Yong Wu, Yuya Wang, et al.. (2025). CVA16 infection causes neurological injury by engaging TLR2/MYD88/TNF-α/CXCL1 signalling pathway in hSCARB2 knock-in mice. Antiviral Research. 237. 106133–106133. 2 indexed citations
2.
Li, Yanmeng, Anjian Xu, Susu Liu, et al.. (2024). SUGP2 p.(Arg639Gln) variant is involved in the pathogenesis of hemochromatosis via the CIRBP/BMPER signaling pathway. American Journal of Hematology. 99(9). 1691–1703. 1 indexed citations
3.
Yang, Hao, Junbin Wang, Yanan Zhou, et al.. (2024). The inoculum dose of Zika virus can affect the viral replication dynamics, cytokine responses and survival rate in immunocompromised AG129 mice. Molecular Biomedicine. 5(1). 30–30. 1 indexed citations
4.
Chen, Ling, Susu Liu, Yuya Wang, et al.. (2024). Overexpression of wild-type HRAS drives non-alcoholic steatohepatitis to hepatocellular carcinoma in mice. 动物学研究. 45(3). 551–566. 4 indexed citations
5.
Wu, Xi, Ziteng Liang, Jianhui Nie, et al.. (2023). Development of a Bioluminescent Imaging Mouse Model for SARS-CoV-2 Infection Based on a Pseudovirus System. Vaccines. 11(7). 1133–1133. 6 indexed citations
6.
Wang, Yuya, Yan Niu, Bangtao Chen, et al.. (2022). Phosphorylation of enteroviral 2A pro at Ser/Thr125 benefits its proteolytic activity and viral pathogenesis. Journal of Medical Virology. 95(1). e28400–e28400. 9 indexed citations
7.
Fan, Changfa, Yong Wu, Rui Xiong, et al.. (2022). Animal models for COVID-19: advances, gaps and perspectives. Signal Transduction and Targeted Therapy. 7(1). 220–220. 56 indexed citations
8.
Wu, Yong, Zhe Qu, Rui Xiong, et al.. (2021). A practical method for evaluating the in vivo efficacy of EVA-71 vaccine using a hSCARB2 knock-in mouse model. Emerging Microbes & Infections. 10(1). 1180–1190. 11 indexed citations
9.
Shao, Anliang, et al.. (2020). GGTA1/iGb3S Double Knockout Mice: Immunological Properties and Immunogenicity Response to Xenogeneic Bone Matrix. BioMed Research International. 2020(1). 9680474–9680474. 4 indexed citations
10.
Nie, Jianhui, Qianqian Li, Jiajing Wu, et al.. (2020). Quantification of SARS-CoV-2 neutralizing antibody by a pseudotyped virus-based assay. Nature Protocols. 15(11). 3699–3715. 241 indexed citations
11.
Zhu, Junping, Ning Chen, Kai Zheng, et al.. (2018). Severity of enterovirus A71 infection in a human SCARB2 knock-in mouse model is dependent on infectious strain and route. Emerging Microbes & Infections. 7(1). 1–13. 27 indexed citations
12.
Zhou, Bing, Longfa Xu, Rui Zhu, et al.. (2018). A bispecific broadly neutralizing antibody against enterovirus 71 and coxsackievirus A16 with therapeutic potential. Antiviral Research. 161. 28–35. 16 indexed citations
13.
Wu, Xi, Susu Liu, Yanwei Yang, et al.. (2017). Endogenous controls of gene expression in N-methyl-N-nitrosourea-induced T-cell lymphoma in p53-deficient mice. BMC Cancer. 17(1). 545–545. 6 indexed citations
14.
Liu, Qiang, Changfa Fan, Qianqian Li, et al.. (2017). Antibody-dependent-cellular-cytotoxicity-inducing antibodies significantly affect the post-exposure treatment of Ebola virus infection. Scientific Reports. 7(1). 45552–45552. 76 indexed citations
15.
Su, Qiru, Caiyun Ma, Changfa Fan, et al.. (2016). [Epidemic profile of mumps in China during 2004-2013].. PubMed. 50(7). 611–4. 27 indexed citations
16.
Liu, Qiang, Changfa Fan, Junming Guo, et al.. (2015). Bioluminescent imaging of vaccinia virus infection in immunocompetent and immunodeficient rats as a model for human smallpox. Scientific Reports. 5(1). 11397–11397. 18 indexed citations
17.
Fan, Changfa, et al.. (2006). Cytotoxicity and altered c‐myc gene expression by medical polyacrylamide hydrogel. Journal of Biomedical Materials Research Part A. 78A(2). 283–290. 34 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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