Yu Fu

2.4k total citations
83 papers, 1.7k citations indexed

About

Yu Fu is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Yu Fu has authored 83 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 19 papers in Cancer Research and 13 papers in Oncology. Recurrent topics in Yu Fu's work include MicroRNA in disease regulation (13 papers), RNA modifications and cancer (9 papers) and Cancer-related molecular mechanisms research (9 papers). Yu Fu is often cited by papers focused on MicroRNA in disease regulation (13 papers), RNA modifications and cancer (9 papers) and Cancer-related molecular mechanisms research (9 papers). Yu Fu collaborates with scholars based in China, United States and Australia. Yu Fu's co-authors include Hongbing Jiang, Rongyao Xu, Jie Cheng, Ping Zhang, Weiwen Zhu, Laikui Liu, Yifei Du, Tao Xiao, Xiang Shen and Xiaoming Zhou and has published in prestigious journals such as Analytical Chemistry, Cancer Research and The FASEB Journal.

In The Last Decade

Yu Fu

79 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu Fu China 23 945 511 225 149 144 83 1.7k
Viviana Costa Italy 25 1.1k 1.1× 823 1.6× 214 1.0× 82 0.6× 136 0.9× 53 1.8k
Li Zhong China 22 910 1.0× 513 1.0× 262 1.2× 58 0.4× 71 0.5× 93 1.9k
Mohammad Amin Kerachian Iran 24 752 0.8× 433 0.8× 448 2.0× 113 0.8× 465 3.2× 86 1.8k
Mário Pérez‐Sayáns Spain 28 1.1k 1.2× 567 1.1× 477 2.1× 39 0.3× 111 0.8× 178 2.6k
Aki Yoshida Japan 33 1.3k 1.4× 525 1.0× 552 2.5× 131 0.9× 110 0.8× 115 3.0k
Sang‐Hun Shin South Korea 23 482 0.5× 141 0.3× 244 1.1× 82 0.6× 87 0.6× 77 1.4k
Chao Tu China 26 975 1.0× 484 0.9× 285 1.3× 29 0.2× 41 0.3× 117 2.3k
Vivek Mahajan India 15 1.2k 1.3× 699 1.4× 63 0.3× 87 0.6× 225 1.6× 62 2.2k
Takashi Ando Japan 29 620 0.7× 365 0.7× 451 2.0× 92 0.6× 155 1.1× 93 2.5k
Aina He China 32 900 1.0× 405 0.8× 891 4.0× 250 1.7× 158 1.1× 83 2.8k

Countries citing papers authored by Yu Fu

Since Specialization
Citations

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

Fields of papers citing papers by Yu Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Fu. A scholar is included among the top collaborators of Yu 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 Yu Fu. Yu Fu 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.
2.
Fu, Yu, et al.. (2024). Multi-scale nonlinear reservoir flow simulation based on digital core reconstruction. Geoenergy Science and Engineering. 242. 213218–213218. 4 indexed citations
3.
Fu, Yu, Yu Zhang, Tian Yin, et al.. (2024). Eudragit L100-coated nintedanib nanocrystals improve oral bioavailability by reducing drug particle size and maintaining drug supersaturation. International Journal of Pharmaceutics. 658. 124196–124196. 1 indexed citations
4.
Feng, Lei, Yi Wang, Yu Fu, et al.. (2023). A simple and efficient strategy for cell‐based and cell‐free‐based therapies in acute liver failure: hUCMSCs bioartificial liver. Bioengineering & Translational Medicine. 8(5). e10552–e10552. 6 indexed citations
5.
Fu, Yu, et al.. (2023). Mesenchymal Stem Cell Utilization for In Vitro Donor Liver Machine Perfusion Preservation: Current Status and Future Directions. Stem Cells Translational Medicine. 12(10). 665–675. 4 indexed citations
6.
Wang, Chenxing, Rongyao Xu, Jie Cheng, et al.. (2023). circFNDC3B Accelerates Vasculature Formation and Metastasis in Oral Squamous Cell Carcinoma. Cancer Research. 83(9). 1459–1475. 52 indexed citations
7.
Guo, Zeyi, Qingyu Xie, Yanping Wu, et al.. (2023). Aberrant expression of circular RNA DHPR facilitates tumor growth and metastasis by regulating the RASGEF1B/RAS/MAPK axis in hepatocellular carcinoma. Cellular Oncology. 46(5). 1333–1350. 10 indexed citations
8.
Fu, Yu, Mingsheng Chen, & Lei Si. (2022). Multimorbidity and catastrophic health expenditure among patients with diabetes in China: a nationwide population-based study. BMJ Global Health. 7(2). e007714–e007714. 27 indexed citations
9.
10.
Feng, Lei, Yi Wang, Yu Fu, et al.. (2021). UGT1A Gene Family Members Serve as Potential Targets and Prognostic Biomarkers for Pancreatic Cancer. BioMed Research International. 2021(1). 6673125–6673125. 5 indexed citations
11.
Chen, Xin, Weiwen Zhu, Rongyao Xu, et al.. (2021). Geranylgeraniol Restores Zoledronic Acid-Induced Efferocytosis Inhibition in Bisphosphonate-Related Osteonecrosis of the Jaw. Frontiers in Cell and Developmental Biology. 9. 770899–770899. 11 indexed citations
12.
Li, Xiang, Yu Fu, Ping Zhang, et al.. (2021). miR-34a-5p functions as a tumor suppressor in head and neck squamous cell cancer progression by targeting Flotillin-2. International Journal of Biological Sciences. 17(15). 4327–4339. 26 indexed citations
13.
Xiao, Qiong, Peng Gao, Xuanzhang Huang, et al.. (2021). tRFTars: predicting the targets of tRNA-derived fragments. Journal of Translational Medicine. 19(1). 88–88. 23 indexed citations
14.
Bi, Xia-an, et al.. (2020). The exploration of Parkinson’s disease: a multi-modal data analysis of resting functional magnetic resonance imaging and gene data. Brain Imaging and Behavior. 15(4). 1986–1996. 10 indexed citations
15.
Zhang, Xinyi, Yu Fu, Xiaoyan Nie, et al.. (2020). The impact of the clinical pharmacist-led interventions in China: A systematic review and Meta-Analysis. International Journal of Clinical Pharmacy. 42(2). 366–377. 16 indexed citations
16.
Liu, Xue, Yu Fu, Jiadong Huang, et al.. (2019). ADAR1 promotes the epithelial-to-mesenchymal transition and stem-like cell phenotype of oral cancer by facilitating oncogenic microRNA maturation. Journal of Experimental & Clinical Cancer Research. 38(1). 315–315. 39 indexed citations
17.
Huang, Xinwei, et al.. (2018). Methylation analysis for multiple gene promoters in non-small cell lung cancers in high indoor air pollution region in China. Bulletin du Cancer. 105(9). 746–754. 18 indexed citations
18.
Chen, Wenjun, Rong Chen, Jian Li, et al.. (2017). Pharmacokinetic/Pharmacodynamic Modeling of Schedule-Dependent Interaction between Docetaxel and Cabozantinib in Human Prostate Cancer Xenograft Models. Journal of Pharmacology and Experimental Therapeutics. 364(1). 13–25. 4 indexed citations
19.
Zhou, Cheng, et al.. (2014). Lithium chloride promotes the odontoblast differentiation of hair follicle neural crest cells by activating Wnt/β‐catenin signaling. Cell Biology International. 39(1). 35–43. 16 indexed citations
20.
Dong, Weijie, Jie Ge, Ping Zhang, et al.. (2014). Phenotypic characterization of craniofacial bone marrow stromal cells: unique properties of enhanced osteogenesis, cell recruitment, autophagy, and apoptosis resistance. Cell and Tissue Research. 358(1). 165–175. 21 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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