Ge Fu

809 total citations
11 papers, 660 citations indexed

About

Ge Fu is a scholar working on Molecular Biology, Immunology and Epidemiology. According to data from OpenAlex, Ge Fu has authored 11 papers receiving a total of 660 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Immunology and 3 papers in Epidemiology. Recurrent topics in Ge Fu's work include Toxin Mechanisms and Immunotoxins (3 papers), Influenza Virus Research Studies (2 papers) and Immune Response and Inflammation (2 papers). Ge Fu is often cited by papers focused on Toxin Mechanisms and Immunotoxins (3 papers), Influenza Virus Research Studies (2 papers) and Immune Response and Inflammation (2 papers). Ge Fu collaborates with scholars based in China, United States and France. Ge Fu's co-authors include Demin Zhou, Lihe Zhang, Longlong Si, Sulong Xiao, Yiming Wu, Yong Jiang, Ziwei Zhang, Ke‐Wu Zeng, Xiaomin Song and Peng‐Fei Tu and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Biomaterials.

In The Last Decade

Ge Fu

11 papers receiving 657 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ge Fu China 10 371 163 162 70 66 11 660
Yun Xing China 16 404 1.1× 178 1.1× 91 0.6× 54 0.8× 63 1.0× 36 806
Biehuoy Shieh United States 17 266 0.7× 109 0.7× 86 0.5× 29 0.4× 55 0.8× 33 655
Haijun Li China 20 382 1.0× 255 1.6× 271 1.7× 96 1.4× 44 0.7× 50 987
Ram Chawda United States 15 402 1.1× 172 1.1× 91 0.6× 44 0.6× 53 0.8× 21 898
Ramanamurthy Boppana India 15 328 0.9× 239 1.5× 170 1.0× 39 0.6× 24 0.4× 24 961
Saikat Chakrabarti India 19 609 1.6× 99 0.6× 95 0.6× 31 0.4× 48 0.7× 57 1.1k
Hong‐Jin Kim South Korea 19 325 0.9× 106 0.7× 154 1.0× 64 0.9× 44 0.7× 47 838
Zahra Khan South Korea 11 360 1.0× 322 2.0× 93 0.6× 49 0.7× 36 0.5× 17 761
Vijayakumar Gosu South Korea 12 512 1.4× 191 1.2× 63 0.4× 62 0.9× 72 1.1× 25 961
Amy Fung United States 9 361 1.0× 128 0.8× 254 1.6× 62 0.9× 214 3.2× 10 920

Countries citing papers authored by Ge Fu

Since Specialization
Citations

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

Fields of papers citing papers by Ge Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ge Fu

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

All Works

11 of 11 papers shown
1.
Si, Longlong, Kun Meng, Zhenyu Tian, et al.. (2018). Triterpenoids manipulate a broad range of virus-host fusion via wrapping the HR2 domain prevalent in viral envelopes. Science Advances. 4(11). eaau8408–eaau8408. 70 indexed citations
2.
Wang, Lele, Li‐Xi Liao, Hai‐Ning Lv, et al.. (2017). Highly Selective Activation of Heat Shock Protein 70 by Allosteric Regulation Provides an Insight into Efficient Neuroinflammation Inhibition. EBioMedicine. 23. 160–172. 46 indexed citations
3.
Li, Qiuyu, Haiyun Li, Ge Fu, et al.. (2017). Autoantibodies against C-Reactive Protein Influence Complement Activation and Clinical Course in Lupus Nephritis. Journal of the American Society of Nephrology. 28(10). 3044–3054. 45 indexed citations
4.
Wang, Yufei, Xingyu Wu, Xi Chen, et al.. (2017). Eg5 inhibitor YL001 induces mitotic arrest and inhibits tumor proliferation. Oncotarget. 8(26). 42510–42524. 16 indexed citations
5.
Liao, Li‐Xi, Xiaomin Song, Lichao Wang, et al.. (2017). Highly selective inhibition of IMPDH2 provides the basis of antineuroinflammation therapy. Proceedings of the National Academy of Sciences. 114(29). E5986–E5994. 117 indexed citations
6.
Si, Longlong, Huan Xu, Xueying Zhou, et al.. (2016). Generation of influenza A viruses as live but replication-incompetent virus vaccines. Science. 354(6316). 1170–1173. 133 indexed citations
7.
Zhang, Yunpei, Chun‐Shui Pan, Li Yan, et al.. (2016). Catalpol restores LPS-elicited rat microcirculation disorder by regulation of a network of signaling involving inhibition of TLR-4 and SRC. American Journal of Physiology-Gastrointestinal and Liver Physiology. 311(6). G1091–G1104. 30 indexed citations
8.
Xiao, Sulong, Longlong Si, Zhen‐Yu Tian, et al.. (2015). Pentacyclic triterpenes grafted on CD cores to interfere with influenza virus entry: A dramatic multivalent effect. Biomaterials. 78. 74–85. 59 indexed citations
9.
Si, Longlong, Yufei Wang, Yiming Wu, et al.. (2014). Discovery of Pentacyclic Triterpenoids as Potential Entry Inhibitors of Influenza Viruses. Journal of Medicinal Chemistry. 57(23). 10058–10071. 131 indexed citations
10.
Su, S. S., et al.. (2014). A white-box CLEFIA implementation for mobile devices. 27–27. 4 indexed citations
11.

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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