Bingshu Xia

447 total citations
13 papers, 347 citations indexed

About

Bingshu Xia is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Bingshu Xia has authored 13 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Cancer Research and 3 papers in Oncology. Recurrent topics in Bingshu Xia's work include Epigenetics and DNA Methylation (3 papers), Cancer and Skin Lesions (2 papers) and Cancer Genomics and Diagnostics (2 papers). Bingshu Xia is often cited by papers focused on Epigenetics and DNA Methylation (3 papers), Cancer and Skin Lesions (2 papers) and Cancer Genomics and Diagnostics (2 papers). Bingshu Xia collaborates with scholars based in China and United States. Bingshu Xia's co-authors include Da Pang, Ming Niu, Xianyu Zhang, Youxue Zhang, Tong Liu, Yang Liu, Dekai Zhang, Ming Shang, Ming Shan and Yanlv Ren and has published in prestigious journals such as PLoS ONE, Nature Structural & Molecular Biology and Oncotarget.

In The Last Decade

Bingshu Xia

13 papers receiving 346 citations

Peers

Bingshu Xia
Michelle Dietzen United Kingdom
Oksana Zagorodna United States
Ruqian Lyu Australia
Les Henderson United States
Michael Peoples United States
Reyka G. Jayasinghe United States
Michelle Dietzen United Kingdom
Bingshu Xia
Citations per year, relative to Bingshu Xia Bingshu Xia (= 1×) peers Michelle Dietzen

Countries citing papers authored by Bingshu Xia

Since Specialization
Citations

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

Fields of papers citing papers by Bingshu Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bingshu Xia

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

All Works

13 of 13 papers shown
1.
Sun, Shanshan, Yuanxi Huang, Min Xiao, et al.. (2022). Correlation analysis between androgen receptor and the clinicopathological features and prognosis of mammary Paget’s disease. Journal of Cancer Research and Clinical Oncology. 149(3). 1175–1184. 2 indexed citations
2.
Xu, Jianping, Zhiping Xie, Jingdong Song, et al.. (2021). [Viral pathogenic spectrum analysis of severe acute respiratory infection cases in Luohe City, Henan province from 2017 to 2019].. PubMed. 55(8). 931–937. 3 indexed citations
3.
Zhang, Jinfeng, Jian Zhang, Shouping Xu, et al.. (2018). Hypoxia-Induced TPM2 Methylation is Associated with Chemoresistance and Poor Prognosis in Breast Cancer. Cellular Physiology and Biochemistry. 45(2). 692–705. 41 indexed citations
4.
Wei, Wei, Xianyu Zhang, Shanshan Sun, et al.. (2018). Assessment of basal-like breast cancer by circulating tumor DNA analysis. Oncology Letters. 15(5). 7389–7396. 3 indexed citations
5.
Huang, Rui, Jiguang Han, Xiaoshuan Liang, et al.. (2017). Androgen Receptor Expression and Bicalutamide Antagonize Androgen Receptor Inhibit β-Catenin Transcription Complex in Estrogen Receptor-Negative Breast Cancer. Cellular Physiology and Biochemistry. 43(6). 2212–2225. 38 indexed citations
6.
Zhang, Guangwen, Bingshu Xia, Tong Liu, et al.. (2016). A High-Quality Biobank Supports Breast Cancer Research in Harbin, China. Biopreservation and Biobanking. 14(5). 375–382. 8 indexed citations
7.
Xia, Bingshu, Ming Shan, Ji Wang, et al.. (2016). Homeobox A11 hypermethylation indicates unfavorable prognosis in breast cancer. Oncotarget. 8(6). 9794–9805. 21 indexed citations
8.
Song, Wen, Jia Wang, Zhifu Han, et al.. (2015). Structural basis for specific recognition of single-stranded RNA by Toll-like receptor 13. Nature Structural & Molecular Biology. 22(10). 782–787. 59 indexed citations
9.
Shan, Ming, Ji Wang, Tong Liu, et al.. (2015). HOXD13 methylation status is a prognostic indicator in breast cancer.. PubMed. 8(9). 10716–24. 16 indexed citations
10.
Zhang, Xianyu, Qian Sun, Ming Shan, et al.. (2013). Promoter Hypermethylation of ARID1A Gene Is Responsible for Its Low mRNA Expression in Many Invasive Breast Cancers. PLoS ONE. 8(1). e53931–e53931. 49 indexed citations
11.
Liu, Tong, Xianyu Zhang, Ming Shang, et al.. (2012). Dysregulated expression of Slug, vimentin, and E‐cadherin correlates with poor clinical outcome in patients with basal‐like breast cancer. Journal of Surgical Oncology. 107(2). 188–194. 90 indexed citations
12.
Song, Yanni, Jingshu Geng, Tong Liu, et al.. (2012). Long CAG Repeat Sequence and Protein Expression of Androgen Receptor Considered as Prognostic Indicators in Male Breast Carcinoma. PLoS ONE. 7(12). e52271–e52271. 15 indexed citations
13.
Zhao, Liu, et al.. (2007). Non-uniform black strings with Schwarzschild–(anti-)de Sitter foliation. Classical and Quantum Gravity. 24(18). 4587–4599. 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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