Fang Yu

1.7k total citations
48 papers, 1.3k citations indexed

About

Fang Yu is a scholar working on Molecular Biology, Cancer Research and Sensory Systems. According to data from OpenAlex, Fang Yu has authored 48 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 19 papers in Cancer Research and 7 papers in Sensory Systems. Recurrent topics in Fang Yu's work include MicroRNA in disease regulation (13 papers), Cancer-related molecular mechanisms research (12 papers) and Circular RNAs in diseases (9 papers). Fang Yu is often cited by papers focused on MicroRNA in disease regulation (13 papers), Cancer-related molecular mechanisms research (12 papers) and Circular RNAs in diseases (9 papers). Fang Yu collaborates with scholars based in China, United States and Qatar. Fang Yu's co-authors include Khaled Machaca, Lu Sun, Jixin Dong, Xingcheng Chen, Kai Fu, Shuping Yang, Xundi Xu, Ke Qian, Seth Stauffer and Subodh M. Lele and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Fang Yu

48 papers receiving 1.3k citations

Peers

Fang Yu

ONCOL

Christiane Klec Austria

Xiaoping Liu China

Adam F. Odell United Kingdom

Hiroshi Ueda Japan

Cheryl L. Walker United States

Steve Stippec United States

Yasser Riazalhosseini Canada

Nicholas Dean United States

Min Jueng Kang South Korea

Christiane Klec Austria

Fang Yu

966 ×1.0

477 ×1.1

91 ×0.4

48 ×0.4

98 ×0.9

ONCOL

Citations per year, relative to Fang Yu Fang Yu (= 1×) peers Christiane Klec

Countries citing papers authored by Fang Yu

Since Specialization

Citations

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

Fields of papers citing papers by Fang Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fang Yu

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

All Works

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20 of 20 papers shown

Li, Xi, Jiaxin Li, Fang Yu, et al.. (2024). The Untargeted Metabolomics Reveals Differences in Energy Metabolism in Patients with Different Subtypes of Ischemic Stroke. Molecular Neurobiology. 61(8). 5308–5319. 5 indexed citations

Liu, Zeyu, Qin Huang, Xianjing Feng, et al.. (2024). Conicity index and sex differences in relation to carotid plaque instability in Chinese community residents. Journal of Stroke and Cerebrovascular Diseases. 34(2). 108193–108193. 1 indexed citations

Yu, Fang, et al.. (2023). STIM1 signals through NFAT1 independently of Orai1 and SOCE to regulate breast cancer cell migration. Cell Calcium. 114. 102779–102779. 6 indexed citations

Zeng, Yongji, Ling Yin, Yi Xiao, et al.. (2022). MARK2 regulates chemotherapeutic responses through class IIa HDAC-YAP axis in pancreatic cancer. Oncogene. 41(31). 3859–3875. 14 indexed citations

Wu, Feng, Jiani Yang, Zhijia Zhang, et al.. (2022). Exosomal miR‐224‐5p from Colorectal Cancer Cells Promotes Malignant Transformation of Human Normal Colon Epithelial Cells by Promoting Cell Proliferation through Downregulation of CMTM4. Oxidative Medicine and Cellular Longevity. 2022(1). 5983629–5983629. 11 indexed citations

Yin, Ling, Yongji Zeng, Yuanhong Chen, et al.. (2021). Protein kinase RNA-activated controls mitotic progression and determines paclitaxel chemosensitivity through B-cell lymphoma 2 in ovarian cancer. Oncogene. 40(50). 6772–6785. 10 indexed citations

Zhang, Xinyang, Siqi Yang, Wenbo Chen, et al.. (2021). Circular RNA circYPEL2: A Novel Biomarker in Cervical Cancer. Genes. 13(1). 38–38. 9 indexed citations

Wang, Xiao, Songliu Hu, Fang Yu, et al.. (2021). Clinical Significance and Biological Function of miR-1274a in Non-small Cell Lung Cancer. Molecular Biotechnology. 64(1). 9–16. 4 indexed citations

Yang, Lin, et al.. (2021). FOXO3-induced lncRNA LOC554202 contributes to hepatocellular carcinoma progression via the miR-485-5p/BSG axis. Cancer Gene Therapy. 29(3-4). 326–340. 25 indexed citations

10.

Peng, Guangdun, Shengbao Suo, Guizhong Cui, et al.. (2019). Molecular architecture of lineage allocation and tissue organization in early mouse embryo. Nature. 572(7770). 528–532. 158 indexed citations

11.

Cao, Xiaocheng, Fang Yu, Guoxing Liu, et al.. (2018). Transient receptor potential vanilloid-type 2 targeting on stemness in liver cancer. Biomedicine & Pharmacotherapy. 105. 697–706. 34 indexed citations

12.

Wang, Zhongcheng, Jian Fang, Fang Yu, et al.. (2016). Decreased Methylation Level of H3K27me3 Increases Seizure Susceptibility. Molecular Neurobiology. 54(9). 7343–7352. 18 indexed citations

13.

Qian, Ke, Gao Liu, Zhonghua Tang, et al.. (2016). The long non-coding RNA NEAT1 interacted with miR-101 modulates breast cancer growth by targeting EZH2. Archives of Biochemistry and Biophysics. 615. 1–9. 98 indexed citations

14.

Long, Yuming, Qiong Zhan, Mei Yuan, et al.. (2015). The Expression of microRNA-223 and FAM5C in Cerebral Infarction Patients with Diabetes Mellitus. Cardiovascular Toxicology. 17(1). 42–48. 16 indexed citations

15.

Hu, Wentao, Yongjie Xiong, Hong Lu, et al.. (2015). Derivation, Expansion, and Motor Neuron Differentiation of Human-Induced Pluripotent Stem Cells with Non-Integrating Episomal Vectors and a Defined Xenogeneic-free Culture System. Molecular Neurobiology. 53(3). 1589–1600. 24 indexed citations

16.

Hu, Baocheng, Xiaomin Ying, Jian Wang, et al.. (2014). Identification of a Tumor-Suppressive Human-Specific MicroRNA within the FHIT Tumor-Suppressor Gene. Cancer Research. 74(8). 2283–2294. 47 indexed citations

17.

Hu, Wentao, et al.. (2014). Transient folate deprivation in combination with small-molecule compounds facilitates the generation of somatic cell-derived pluripotent stem cells in mice. Journal of Huazhong University of Science and Technology [Medical Sciences]. 34(2). 151–156. 4 indexed citations

18.

Luo, Wei, et al.. (2013). MicroRNA-376a Sensitizes Cells Following DNA Damage by Downregulating MEPE Expression. Cancer Biotherapy and Radiopharmaceuticals. 28(7). 523–529. 7 indexed citations

19.

Huang, Xin, Changhai Tian, Miao Liu, et al.. (2012). Quantitative Proteomic Analysis of Mouse Embryonic Fibroblasts and Induced Pluripotent Stem Cells Using ¹⁶O/¹⁸O Labeling. Journal of Proteome Research. 11(4). 2091–2102. 9 indexed citations

20.

Yu, Fang, et al.. (2011). microRNA-143 Protects Cells from DNA Damage-Induced Killing by Downregulating FHIT Expression. Cancer Biotherapy and Radiopharmaceuticals. 26(3). 365–372. 14 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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