Xiaobin Yu

489 total citations
19 papers, 327 citations indexed

About

Xiaobin Yu is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Xiaobin Yu has authored 19 papers receiving a total of 327 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Oncology and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Xiaobin Yu's work include Cancer Cells and Metastasis (5 papers), Epigenetics and DNA Methylation (3 papers) and Genomics and Chromatin Dynamics (3 papers). Xiaobin Yu is often cited by papers focused on Cancer Cells and Metastasis (5 papers), Epigenetics and DNA Methylation (3 papers) and Genomics and Chromatin Dynamics (3 papers). Xiaobin Yu collaborates with scholars based in China, United States and Netherlands. Xiaobin Yu's co-authors include Jianming Xu, Jason T. Yustein, Yixiang Xu, Lan Liao, Zhangwei Tong, Li Qin, Tao He, Yang Yu, David M. Lonard and Tao Zeng and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Carbohydrate Polymers.

In The Last Decade

Xiaobin Yu

19 papers receiving 327 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaobin Yu China 12 164 87 65 60 39 19 327
Emilie Evanno France 6 208 1.3× 62 0.7× 72 1.1× 52 0.9× 25 0.6× 7 334
Tiaosi Xing United States 7 197 1.2× 110 1.3× 81 1.2× 43 0.7× 31 0.8× 17 378
Yuexin Lu China 10 234 1.4× 118 1.4× 88 1.4× 98 1.6× 37 0.9× 21 537
Amrik Singh United States 10 382 2.3× 88 1.0× 65 1.0× 56 0.9× 27 0.7× 13 498
Juan Zou China 13 241 1.5× 70 0.8× 147 2.3× 46 0.8× 30 0.8× 36 416
Jidong Shan United States 11 248 1.5× 75 0.9× 55 0.8× 70 1.2× 27 0.7× 18 357
Samuel Amintas France 10 275 1.7× 122 1.4× 88 1.4× 31 0.5× 43 1.1× 27 441
Sijia Wang China 10 228 1.4× 92 1.1× 120 1.8× 72 1.2× 17 0.4× 21 397
Tatyana Kuznetsova United States 7 413 2.5× 34 0.4× 67 1.0× 190 3.2× 40 1.0× 10 576
Manuela Pillinger Austria 6 218 1.3× 149 1.7× 48 0.7× 123 2.0× 18 0.5× 6 434

Countries citing papers authored by Xiaobin Yu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaobin Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaobin Yu

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

All Works

19 of 19 papers shown
2.
Yu, Xiaobin, Tao He, Zhangwei Tong, et al.. (2023). Molecular mechanisms of TWIST1‐regulated transcription in EMT and cancer metastasis. EMBO Reports. 24(11). e56902–e56902. 27 indexed citations
3.
Zhao, Shuangzhi, Leilei Chen, Qingxin Zhou, et al.. (2022). High-level production of pullulan from high concentration of glucose by mutagenesis and adaptive laboratory evolution of Aureobasidium pullulans. Carbohydrate Polymers. 302. 120426–120426. 15 indexed citations
4.
Zhao, Yan, Xiaobin Yu, Wei Zhao, et al.. (2022). Inactivation of Endogenous Pectin Methylesterases by Radio Frequency Heating during the Fermentation of Fruit Wines. Fermentation. 8(6). 265–265. 5 indexed citations
5.
Yu, Xiaobin, Jason T. Yustein, & Jianming Xu. (2021). Research models and mesenchymal/epithelial plasticity of osteosarcoma. Cell & Bioscience. 11(1). 94–94. 44 indexed citations
6.
Lee, Dong-Kee, Zhangwei Tong, Xiaobin Yu, et al.. (2021). Cell lineage tracing links ERα loss in Erbb2-positive breast cancers to the arising of a highly aggressive breast cancer subtype. Proceedings of the National Academy of Sciences. 118(21). 8 indexed citations
7.
Qin, Li, Jianwei Chen, Dong Lu, et al.. (2021). Development of improved SRC-3 inhibitors as breast cancer therapeutic agents. Endocrine Related Cancer. 28(10). 657–670. 12 indexed citations
8.
Yu, Xiaobin & Jianming Xu. (2020). A ‘Goldmine’ for digging cancer-specific targets: the genes essential for embryo development but non-essential for adult life. Journal of Molecular Cell Biology. 12(9). 669–673. 10 indexed citations
9.
Yang, Zhizhou, et al.. (2020). Transcriptome Profiling Reveals Inhibited Immune Responses Associated With Radiation Resistance In Triple-Negative Breast Cancer. International Journal of Radiation Oncology*Biology*Physics. 108(3). e567–e567. 1 indexed citations
10.
Tong, Zhangwei, et al.. (2019). The transcriptional co-activator NCOA6 promotes estrogen-induced GREB1 transcription by recruiting ERα and enhancing enhancer–promoter interactions. Journal of Biological Chemistry. 294(51). 19667–19682. 11 indexed citations
11.
Yu, Xiaobin, Xuesen Li, Bo Luo, et al.. (2018). TNFAIP3 is required for FGFR1 activation-promoted proliferation and tumorigenesis of premalignant DCIS.COM human mammary epithelial cells. Breast Cancer Research. 20(1). 97–97. 13 indexed citations
12.
Zeng, Tao, et al.. (2018). Inhibition of cell migration and invasion and promotion of cell apoptosis by overexpression of programmed cell death 4 (PDCD4) in cervical cancer Siha cells.. PubMed. 11(9). 4676–4683. 7 indexed citations
13.
Wang, Xiaogang, et al.. (2018). In Vivo Corneal Confocal Microscopy Detects Improvement of Corneal Nerve Parameters following Glycemic Control in Patients with Type 2 Diabetes. Journal of Diabetes Research. 2018. 1–8. 29 indexed citations
14.
Huang, Senlin, Hong-Yi Gao, Xiaoming Ouyang, et al.. (2017). Upregulation of KIN17 is associated with non-small cell lung cancer invasiveness. Oncology Letters. 13(4). 2274–2280. 17 indexed citations
15.
Gao, Hong-Yi, et al.. (2017). Elevated Expression of Kin17 in Cervical Cancer and Its Association With Cancer Cell Proliferation and Invasion. International Journal of Gynecological Cancer. 27(4). 628–633. 14 indexed citations
16.
Qin, Li, Yixiang Xu, Xiaobin Yu, et al.. (2017). The histone demethylase Kdm3a is required for normal epithelial proliferation, ductal elongation and tumor growth in the mouse mammary gland. Oncotarget. 8(49). 84761–84775. 19 indexed citations
17.
Wu, Hongmei, Jiong Bi, Yan Peng, et al.. (2017). Nuclear receptor NR4A1 is a tumor suppressor down-regulated in triple-negative breast cancer. Oncotarget. 8(33). 54364–54377. 33 indexed citations
18.
Yin, Xiaofeng, et al.. (2016). Interleukin-17A-Induced Epithelial-Mesenchymal Transition of Human Intrahepatic Biliary Epithelial Cells: Implications for Primary Biliary Cirrhosis. The Tohoku Journal of Experimental Medicine. 240(4). 269–275. 25 indexed citations
19.
Ma, Gang, Jianjun He, Yang Yu, et al.. (2015). Tamoxifen Inhibits ER-negative Breast Cancer Cell Invasion and Metastasis by Accelerating Twist1 Degradation. International Journal of Biological Sciences. 11(5). 618–628. 30 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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