Tianfu Yu

1.6k total citations
35 papers, 1.2k citations indexed

About

Tianfu Yu is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Tianfu Yu has authored 35 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 22 papers in Cancer Research and 8 papers in Genetics. Recurrent topics in Tianfu Yu's work include MicroRNA in disease regulation (18 papers), Cancer-related molecular mechanisms research (12 papers) and Circular RNAs in diseases (11 papers). Tianfu Yu is often cited by papers focused on MicroRNA in disease regulation (18 papers), Cancer-related molecular mechanisms research (12 papers) and Circular RNAs in diseases (11 papers). Tianfu Yu collaborates with scholars based in China and United States. Tianfu Yu's co-authors include Yingyi Wang, Junxia Zhang, Yongping You, Tongle Zhi, Weining Wu, Er Nie, Ning Liu, Kuan Jiang, Youzhi Wu and Qi Hu and has published in prestigious journals such as Oncogene, Scientific Reports and Clinical Cancer Research.

In The Last Decade

Tianfu Yu

32 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tianfu Yu China 21 985 767 173 153 107 35 1.2k
Tongle Zhi China 20 767 0.8× 602 0.8× 113 0.7× 87 0.6× 73 0.7× 28 957
Zhumei Shi China 22 1.3k 1.4× 1.1k 1.4× 204 1.2× 142 0.9× 115 1.1× 35 1.7k
Xiaobai Liu China 25 1.2k 1.2× 1.1k 1.4× 146 0.8× 107 0.7× 77 0.7× 46 1.6k
Jianxing Yin China 14 1.1k 1.1× 986 1.3× 123 0.7× 69 0.5× 66 0.6× 20 1.3k
Lynette M. Moore United States 10 648 0.7× 481 0.6× 146 0.8× 175 1.1× 64 0.6× 12 899
Genaro R. Villa United States 7 539 0.5× 304 0.4× 126 0.7× 100 0.7× 83 0.8× 10 719
Alangar S. Hegde India 19 673 0.7× 478 0.6× 283 1.6× 135 0.9× 128 1.2× 23 1.1k
Yukuan Feng China 18 596 0.6× 389 0.5× 70 0.4× 212 1.4× 94 0.9× 40 946
Fatima W. Khwaja United States 7 496 0.5× 440 0.6× 272 1.6× 185 1.2× 94 0.9× 7 872
Jizong Zhao China 16 479 0.5× 448 0.6× 254 1.5× 145 0.9× 133 1.2× 38 887

Countries citing papers authored by Tianfu Yu

Since Specialization
Citations

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

Fields of papers citing papers by Tianfu Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tianfu Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Tianfu Yu. A scholar is included among the top collaborators of Tianfu Yu 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 Tianfu Yu. Tianfu Yu 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.
Wan, Yuhui, Xin Wang, Xinshi Wang, et al.. (2025). Cannabidiol Protects Against Neurotoxic Reactive Astrocytes‐Induced Neuronal Death in Mouse Model of Epilepsy. Journal of Neurochemistry. 169(3). e70038–e70038.
2.
Sun, T., Tianfu Yu, & Pengcheng Liu. (2025). Global, regional, and national burden of epilepsy, 1990–2021: a systematic analysis for the Global Burden of Disease Study in 2021. Cost Effectiveness and Resource Allocation. 23(1). 28–28.
3.
Yu, Tianfu, Fengqi Zhou, Wei Tian, et al.. (2022). EZH2 interacts with HP1BP3 to epigenetically activate WNT7B that promotes temozolomide resistance in glioblastoma. Oncogene. 42(6). 461–470. 18 indexed citations
4.
Zhou, Fengqi, Fan Xiao, Zhiqiang Wu, et al.. (2022). Diverse Macrophages Constituted the Glioma Microenvironment and Influenced by PTEN Status. Frontiers in Immunology. 13. 841404–841404. 14 indexed citations
5.
Yu, Tianfu, Dong Liu, Xiao‐Fei Qiao, et al.. (2021). NR4A1 enhances MKP7 expression to diminish JNK activation induced by ROS or ER-stress in pancreatic β cells for surviving. Cell Death Discovery. 7(1). 133–133. 12 indexed citations
6.
Zhou, Fengqi, Binbin Wang, Hong Wang, et al.. (2021). circMELK promotes glioblastoma multiforme cell tumorigenesis through the miR-593/EphB2 axis. Molecular Therapy — Nucleic Acids. 25. 25–36. 26 indexed citations
7.
Han, Dongfeng, Tianfu Yu, Nan Dong, et al.. (2019). Napabucasin, a novel STAT3 inhibitor suppresses proliferation, invasion and stemness of glioblastoma cells. Journal of Experimental & Clinical Cancer Research. 38(1). 289–289. 73 indexed citations
8.
Wu, Weining, Tianfu Yu, Youzhi Wu, et al.. (2019). The miR155HG/miR-185/ANXA2 loop contributes to glioblastoma growth and progression. Journal of Experimental & Clinical Cancer Research. 38(1). 133–133. 95 indexed citations
9.
Zhou, Fengqi, Ran Xu, Junxia Zhang, et al.. (2019). MicroRNA-206 attenuates glioma cell proliferation, migration, and invasion by blocking the WNT/β-catenin pathway via direct targeting of Frizzled 7 mRNA.. PubMed. 11(7). 4584–4601. 17 indexed citations
10.
Nie, Er, Xin Jin, Weining Wu, et al.. (2018). Fstl1/DIP2A/MGMT signaling pathway plays important roles in temozolomide resistance in glioblastoma. Oncogene. 38(15). 2706–2721. 37 indexed citations
11.
Yu, Tianfu, Xiefeng Wang, Tongle Zhi, et al.. (2018). Delivery of MGMT mRNA to glioma cells by reactive astrocyte-derived exosomes confers a temozolomide resistance phenotype. Cancer Letters. 433. 210–220. 82 indexed citations
12.
Jin, Xin, Er Nie, Xu Zhou, et al.. (2017). Fstl1 Promotes Glioma Growth Through the BMP4/Smad1/5/8 Signaling Pathway. Cellular Physiology and Biochemistry. 44(4). 1616–1628. 26 indexed citations
13.
Hu, Qi, Weining Wu, Ailiang Zeng, et al.. (2017). Polycomb group expression signatures in the malignant progression of gliomas. Oncology Letters. 13(4). 2583–2590. 3 indexed citations
14.
Wang, Yingyi, Tianfu Yu, Er Nie, et al.. (2017). Blocking MIR155HG/miR-155 axis inhibits mesenchymal transition in glioma. Neuro-Oncology. 19(9). 1195–1205. 109 indexed citations
15.
Wu, Weining, Qi Hu, Er Nie, et al.. (2017). Hypoxia induces H19 expression through direct and indirect Hif-1α activity, promoting oncogenic effects in glioblastoma. Scientific Reports. 7(1). 45029–45029. 106 indexed citations
16.
Wu, Weining, Xu Zhou, Tianfu Yu, et al.. (2017). The malignancy of miR-18a in human glioblastoma via directly targeting CBX7.. PubMed. 7(1). 64–76. 22 indexed citations
17.
Yu, Tianfu, Yingyi Wang, Qi Hu, et al.. (2017). The EZH2 inhibitor GSK343 suppresses cancer stem-like phenotypes and reverses mesenchymal transition in glioma cells. Oncotarget. 8(58). 98348–98359. 59 indexed citations
18.
Nie, Er, Xin Jin, Weining Wu, et al.. (2017). MiR-198 enhances temozolomide sensitivity in glioblastoma by targeting MGMT. Journal of Neuro-Oncology. 133(1). 59–68. 37 indexed citations
19.
Nie, Er, Xin Jin, Weining Wu, et al.. (2016). BACH1 Promotes Temozolomide Resistance in Glioblastoma through Antagonizing the Function of p53. Scientific Reports. 6(1). 39743–39743. 32 indexed citations
20.
Han, Dongfeng, Wenjin Wei, Xincheng Chen, et al.. (2015). NF-κB/RelA-PKM2 mediates inhibition of glycolysis by fenofibrate in glioblastoma cells. Oncotarget. 6(28). 26119–26128. 45 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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