Fei Gu

4.5k total citations
91 papers, 3.0k citations indexed

About

Fei Gu is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Fei Gu has authored 91 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Molecular Biology, 20 papers in Oncology and 14 papers in Cancer Research. Recurrent topics in Fei Gu's work include Epigenetics and DNA Methylation (12 papers), Protease and Inhibitor Mechanisms (9 papers) and Peptidase Inhibition and Analysis (9 papers). Fei Gu is often cited by papers focused on Epigenetics and DNA Methylation (12 papers), Protease and Inhibitor Mechanisms (9 papers) and Peptidase Inhibition and Analysis (9 papers). Fei Gu collaborates with scholars based in China, United States and Taiwan. Fei Gu's co-authors include Qing Ma, William T. Pu, Pingzhu Zhou, Jinghai Chen, Zhiqiang Lin, Da‐Zhi Wang, Alexander von Gise, Lingyun Sun, Bin Zhou and Stanisław Pikul and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Fei Gu

85 papers receiving 3.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fei Gu China 31 1.9k 707 480 357 316 91 3.0k
Françoise Bono France 29 1.3k 0.7× 404 0.6× 380 0.8× 272 0.8× 295 0.9× 65 2.7k
Lu Sun China 31 1.4k 0.7× 490 0.7× 545 1.1× 211 0.6× 343 1.1× 127 2.9k
Javier Hernández‐Losa Spain 33 2.1k 1.1× 782 1.1× 982 2.0× 294 0.8× 310 1.0× 115 3.3k
Louis Chesler United Kingdom 35 2.1k 1.1× 1.1k 1.6× 951 2.0× 313 0.9× 181 0.6× 89 3.9k
Kristiina Iljin Finland 30 2.1k 1.1× 763 1.1× 767 1.6× 341 1.0× 166 0.5× 56 3.1k
Paul Dowling Ireland 35 2.5k 1.3× 495 0.7× 456 0.9× 811 2.3× 186 0.6× 132 3.4k
Chryso Kanthou United Kingdom 29 1.7k 0.9× 698 1.0× 614 1.3× 260 0.7× 168 0.5× 61 3.4k
Jacques Pouysségur France 18 1.7k 0.9× 442 0.6× 276 0.6× 358 1.0× 208 0.7× 21 2.3k
Bettina Couderc France 32 1.6k 0.8× 587 0.8× 994 2.1× 265 0.7× 254 0.8× 74 2.9k
József Tóvári Hungary 29 1.7k 0.9× 613 0.9× 1.1k 2.2× 224 0.6× 300 0.9× 143 3.1k

Countries citing papers authored by Fei Gu

Since Specialization
Citations

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

Fields of papers citing papers by Fei Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fei Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Fei Gu. A scholar is included among the top collaborators of Fei Gu 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 Fei Gu. Fei Gu 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.
Han, Xue, Yuxin Fan, Ting Zhang, et al.. (2025). Engineered hybrid cell membrane nanovesicles for potentiated cancer immunotherapy through dual immune checkpoint inhibition. Biomaterials Science. 13(10). 2642–2650. 4 indexed citations
2.
3.
Wang, Lihui, Daosheng Huang, Jie Hu, et al.. (2024). Identification of virus epitopes and reactive T-cell receptors from memory T cells without peptide synthesis. Communications Biology. 7(1). 1432–1432.
4.
5.
Wang, Juanjuan, Yuting Liu, Di Wu, et al.. (2024). OTUB1 Targets CHK1 for Deubiquitination and Stabilization to Facilitate Lung Cancer Progression and Radioresistance. International Journal of Radiation Oncology*Biology*Physics. 119(4). 1222–1233. 8 indexed citations
6.
Li, Xiaoyan, ZhengMing Wu, Jing He, et al.. (2021). OGT regulated O-GlcNAcylation promotes papillary thyroid cancer malignancy via activating YAP. Oncogene. 40(30). 4859–4871. 46 indexed citations
7.
He, Xin, Jianming Liu, Fei Gu, et al.. (2021). Cardiac CIP protein regulates dystrophic cardiomyopathy. Molecular Therapy. 30(2). 898–914. 6 indexed citations
8.
Xu, Hengyi, Han Yang, Lei Zhang, et al.. (2021). The coSIR model predicts effective strategies to limit the spread of SARS-CoV-2 variants with low severity and high transmissibility. Nonlinear Dynamics. 105(3). 2757–2773. 5 indexed citations
9.
Gao, Feng, Masaharu Kataoka, Ning Liu, et al.. (2019). Therapeutic role of miR-19a/19b in cardiac regeneration and protection from myocardial infarction. Nature Communications. 10(1). 1802–1802. 212 indexed citations
10.
Akerberg, Brynn N., Fei Gu, Nathan J. VanDusen, et al.. (2019). A reference map of murine cardiac transcription factor chromatin occupancy identifies dynamic and conserved enhancers. Nature Communications. 10(1). 4907–4907. 84 indexed citations
11.
Ruan, Jianhua, Fei Gu, Chengwei Lei, et al.. (2016). A novel algorithm for network-based prediction of cancer recurrence. Genomics. 111(1). 17–23. 13 indexed citations
12.
Feng, Xuebing, Fei Gu, Weiwei Chen, et al.. (2014). Mizoribine versus mycophenolate mofetil or intravenous cyclophosphamide for induction treatment of active lupus nephritis. Chinese Medical Journal. 127(21). 3718–3723. 17 indexed citations
13.
Li, Jianjun, Hongyu Li, & Fei Gu. (2014). Diagnostic Significance of Serum Osteopontin Level for Pancreatic Cancer: A Meta-Analysis. Genetic Testing and Molecular Biomarkers. 18(8). 580–586. 19 indexed citations
14.
Hsu, Ya‐Ting, Fei Gu, Yi-Wen Huang, et al.. (2013). Promoter Hypomethylation of EpCAM-Regulated Bone Morphogenetic Protein Gene Family in Recurrent Endometrial Cancer. Clinical Cancer Research. 19(22). 6272–6285. 36 indexed citations
15.
Zhou, Pingzhu, Yijing Zhang, Qing Ma, et al.. (2013). Interrogating translational efficiency and lineage-specific transcriptomes using ribosome affinity purification. Proceedings of the National Academy of Sciences. 110(38). 15395–15400. 98 indexed citations
16.
Huang, Tze‐Ta, Cara B. Gonzales, Fei Gu, et al.. (2013). Epigenetic deregulation of the anaplastic lymphoma kinase gene modulates mesenchymal characteristics of oral squamous cell carcinomas. Carcinogenesis. 34(8). 1717–1727. 17 indexed citations
17.
Rao, Xi, Jared M. Evans, Han–Jung Chae, et al.. (2012). CpG island shore methylation regulates caveolin-1 expression in breast cancer. Oncogene. 32(38). 4519–4528. 93 indexed citations
18.
Zuo, Tao, Xun Lan, Yu‐I Weng, et al.. (2011). Epigenetic Silencing Mediated through Activated PI3K/AKT Signaling in Breast Cancer. Cancer Research. 71(5). 1752–1762. 52 indexed citations
19.
Gu, Fei, et al.. (2010). Inference of hierarchical regulatory network of estrogen-dependent breast cancer through ChIP-based data. BMC Systems Biology. 4(1). 170–170. 36 indexed citations
20.
De, Biswanath, Michael G. Natchus, Stanisław Pikul, et al.. (1999). The Next Generation of MMP Inhibitors: Design and Synthesis. Annals of the New York Academy of Sciences. 878(1). 40–60. 28 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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