Xiaotang Yu

1.2k total citations
19 papers, 812 citations indexed

About

Xiaotang Yu is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Xiaotang Yu has authored 19 papers receiving a total of 812 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 8 papers in Cancer Research and 7 papers in Oncology. Recurrent topics in Xiaotang Yu's work include MicroRNA in disease regulation (7 papers), Epigenetics and DNA Methylation (5 papers) and Hedgehog Signaling Pathway Studies (4 papers). Xiaotang Yu is often cited by papers focused on MicroRNA in disease regulation (7 papers), Epigenetics and DNA Methylation (5 papers) and Hedgehog Signaling Pathway Studies (4 papers). Xiaotang Yu collaborates with scholars based in China, United States and Canada. Xiaotang Yu's co-authors include Jun Mao, Bo Song, Shujun Fan, Lianhong Li, Wei Ma, Ying Lü, Hui Wang, Qun Zhang, Bo Tang and Jinyao Zhao and has published in prestigious journals such as Journal of Allergy and Clinical Immunology, The International Journal of Biochemistry & Cell Biology and Cell Death and Disease.

In The Last Decade

Xiaotang Yu

19 papers receiving 804 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xiaotang Yu China	14	623	304	291	69	45	19	812
Jing‐Yu Lang China	14	607 1.0×	202 0.7×	202 0.7×	29 0.4×	36 0.8×	23	803
Wen‐Cheng Chou Taiwan	13	441 0.7×	179 0.6×	182 0.6×	36 0.5×	31 0.7×	25	625
Pingli Mo China	16	576 0.9×	171 0.6×	289 1.0×	53 0.8×	29 0.6×	37	789
Eun Ji Ro South Korea	10	412 0.7×	265 0.9×	102 0.4×	81 1.2×	45 1.0×	12	633
Junsheng Fu United States	9	712 1.1×	443 1.5×	145 0.5×	75 1.1×	21 0.5×	12	864
Souzan Najafi Iran	15	416 0.7×	226 0.7×	254 0.9×	53 0.8×	25 0.6×	35	726
Xiaojun Yang China	13	539 0.9×	403 1.3×	406 1.4×	48 0.7×	64 1.4×	28	944
Shangke Huang China	13	421 0.7×	274 0.9×	244 0.8×	52 0.8×	26 0.6×	28	743

Countries citing papers authored by Xiaotang Yu

Since Specialization

Citations

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

Fields of papers citing papers by Xiaotang Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaotang Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaotang Yu. A scholar is included among the top collaborators of Xiaotang 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 Xiaotang Yu. Xiaotang 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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19 of 19 papers shown

Shi, Zhiyong, Xiaotang Yu, Yang Gao, et al.. (2024). DNA-mediated self-assembly oxidative damage amplifier combined with copper and MTH1 inhibitor for cancer therapy. Bioactive Materials. 45. 434–445. 2 indexed citations

Qin, Tao, Qingqing Zhang, Shujun Fan, et al.. (2021). Abnormally elevated ubiquilin‑1 expression in breast cancer regulates metastasis and stemness via AKT signaling. Oncology Reports. 46(5). 7 indexed citations

Yu, Xiaotang, Xinchen Zhang, Bo Wang, et al.. (2020). miR-206 as a prognostic and sensitivity biomarker for platinum chemotherapy in epithelial ovarian cancer. Cancer Cell International. 20(1). 534–534. 15 indexed citations

Zhang, Fan, Bo Wang, Tao Qin, et al.. (2020). IL-6 induces tumor suppressor protein tyrosine phosphatase receptor type D by inhibiting miR-34a to prevent IL-6 signaling overactivation. Molecular and Cellular Biochemistry. 473(1-2). 1–13. 9 indexed citations

Xue, Ke, Cong Li, Jing Li, et al.. (2019). The role and mechanism of transforming growth factor beta 3 in human myocardial infarction‐induced myocardial fibrosis. Journal of Cellular and Molecular Medicine. 23(6). 4229–4243. 35 indexed citations

Qin, Tao, Bai Li, Shujun Fan, et al.. (2018). Abnormally elevated USP37 expression in breast cancer stem cells regulates stemness, epithelial-mesenchymal transition and cisplatin sensitivity. Journal of Experimental & Clinical Cancer Research. 37(1). 287–287. 79 indexed citations

Yu, Xiaotang, Fan Zhang, Jun Mao, et al.. (2017). Protein tyrosine phosphatase receptor-type δ acts as a negative regulator suppressing breast cancer. Oncotarget. 8(58). 98798–98811. 14 indexed citations

Zhao, Henan, Xiaotang Yu, Yanfang Ding, et al.. (2016). MiR-770-5p inhibits cisplatin chemoresistance in human ovarian cancer by targeting ERCC2. PMC. 1 indexed citations

Zhang, Chunying, Ying Lü, Qing Li, et al.. (2016). Salinomycin suppresses TGF-β1-induced epithelial-to-mesenchymal transition in MCF-7 human breast cancer cells. Chemico-Biological Interactions. 248. 74–81. 23 indexed citations

10.

Zhao, Henan, Xiaotang Yu, Yanfang Ding, et al.. (2016). MiR-770-5p inhibits cisplatin chemoresistance in human ovarian cancer by targeting ERCC2. Oncotarget. 7(33). 53254–53268. 63 indexed citations

11.

Zhang, Xinchen, Gordon Guo, Jinyao Zhao, et al.. (2015). Profile of differentially expressed miRNAs in high-grade serous carcinoma and clear cell ovarian carcinoma, and the expression of miR-510 in ovarian carcinoma. Molecular Medicine Reports. 12(6). 8021–8031. 23 indexed citations

12.

Ma, Wei, Gary Guishan Xiao, Jun Mao, et al.. (2015). Dysregulation of the miR-34a-SIRT1 axis inhibits breast cancer stemness. Oncotarget. 6(12). 10432–10444. 66 indexed citations

13.

Lü, Ying, Wei Ma, Jun Mao, et al.. (2014). Salinomycin exerts anticancer effects on human breast carcinoma MCF-7 cancer stem cells via modulation of Hedgehog signaling. Chemico-Biological Interactions. 228. 100–107. 50 indexed citations

14.

Mao, Jun, Shujun Fan, Wei Ma, et al.. (2014). Roles of Wnt/β-catenin signaling in the gastric cancer stem cells proliferation and salinomycin treatment. Cell Death and Disease. 5(1). e1039–e1039. 212 indexed citations

15.

Wang, Lixia, Wei Duan, Le Kang, et al.. (2014). Smoothened activates breast cancer stem-like cell and promotes tumorigenesis and metastasis of breast cancer. Biomedicine & Pharmacotherapy. 68(8). 1099–1104. 26 indexed citations

16.

Mao, Jun, Bo Song, Yu Shi, et al.. (2013). ShRNA targeting Notch1 sensitizes breast cancer stem cell to paclitaxel. The International Journal of Biochemistry & Cell Biology. 45(6). 1064–1073. 31 indexed citations

17.

Yu, Xiaotang, Xinchen Zhang, Yanfang Ding, et al.. (2013). MiRNA expression signature for potentially predicting the prognosis of ovarian serous carcinoma. Tumor Biology. 34(6). 3501–3508. 48 indexed citations

18.

Fan, Shujun, Huan Wang, Jun Mao, et al.. (2013). Genistein decreases the breast cancer stem-like cell population through Hedgehog pathway. Stem Cell Research & Therapy. 4(6). 146–146. 106 indexed citations

19.

Varghese, Santosh T., et al.. (2008). Duration of Action of Mometasone Furoate Nasal Spray in Subjects with Symptoms of Seasonal Allergic Rhinitis Induced in an Environmental Exposure Chamber. Journal of Allergy and Clinical Immunology. 121(2). S54–S54. 2 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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