Bing Zhao

1.6k total citations
51 papers, 1.2k citations indexed

About

Bing Zhao is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Bing Zhao has authored 51 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 31 papers in Cancer Research and 6 papers in Genetics. Recurrent topics in Bing Zhao's work include Cancer-related molecular mechanisms research (23 papers), MicroRNA in disease regulation (13 papers) and RNA Research and Splicing (13 papers). Bing Zhao is often cited by papers focused on Cancer-related molecular mechanisms research (23 papers), MicroRNA in disease regulation (13 papers) and RNA Research and Splicing (13 papers). Bing Zhao collaborates with scholars based in China and United States. Bing Zhao's co-authors include Erbao Bian, Gang Zong, Hongliang Wang, Chunchun Ma, Yadi Xu, Jia Li, Feng Tang, Xiaojun He, Zhihao Yang and Hongliang Wang and has published in prestigious journals such as Scientific Reports, Chemosphere and Gene.

In The Last Decade

Bing Zhao

49 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bing Zhao China	20	833	608	102	90	84	51	1.2k
Qiao‐Li Lv China	21	767 0.9×	552 0.9×	95 0.9×	73 0.8×	93 1.1×	64	1.1k
Jae Ho Seo United States	20	857 1.0×	413 0.7×	97 1.0×	121 1.3×	72 0.9×	29	1.2k
Chenggui Miao China	21	829 1.0×	502 0.8×	85 0.8×	97 1.1×	172 2.0×	63	1.3k
Dehai Yu China	22	760 0.9×	482 0.8×	172 1.7×	87 1.0×	126 1.5×	46	1.2k
Xinyu Wang China	20	1.0k 1.2×	864 1.4×	181 1.8×	98 1.1×	100 1.2×	69	1.5k
Paul Vesely Austria	16	827 1.0×	378 0.6×	80 0.8×	156 1.7×	160 1.9×	22	1.4k
Tianyu Han China	18	913 1.1×	485 0.8×	110 1.1×	163 1.8×	190 2.3×	48	1.3k
Adriane Feijó Evangelista Brazil	22	834 1.0×	622 1.0×	128 1.3×	77 0.9×	148 1.8×	75	1.4k
Zhenhua Pan China	17	1.1k 1.3×	266 0.4×	110 1.1×	49 0.5×	55 0.7×	43	1.4k

Countries citing papers authored by Bing Zhao

Since Specialization

Citations

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

Fields of papers citing papers by Bing Zhao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bing Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Bing Zhao. A scholar is included among the top collaborators of Bing Zhao 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 Bing Zhao. Bing Zhao 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

Wang, Zhiwei, et al.. (2024). A novel disulfide death-related genes prognostic signature identifies the role of IPO4 in glioma progression. Cancer Cell International. 24(1). 1 indexed citations

Li, Jia, et al.. (2024). Knockdown of CENPF induces cell cycle arrest and inhibits epithelial‑mesenchymal transition progression in glioma. Oncology Letters. 29(1). 61–61.

Chen, Xueran, Meng Cheng, Jiajia Zhao, et al.. (2023). Super-enhancer-driven lncRNA LIMD1-AS1 activated by CDK7 promotes glioma progression. Cell Death and Disease. 14(6). 383–383. 16 indexed citations

Yang, Zhihao, Yinfei Zheng, Jiajia Zhao, et al.. (2023). Integrative analysis of a novel super-enhancer-associated lncRNA prognostic signature and identifying LINC00945 in aggravating glioma progression. Human Genomics. 17(1). 33–33. 9 indexed citations

Zhao, Bing, et al.. (2022). A Machine Learning-Based Approach to Predict Prognosis and Length of Hospital Stay in Adults and Children With Traumatic Brain Injury: Retrospective Cohort Study. Journal of Medical Internet Research. 24(12). e41819–e41819. 24 indexed citations

Yang, Zhihao, Zhigang Chen, Yu Wang, et al.. (2022). A Novel Defined Pyroptosis-Related Gene Signature for Predicting Prognosis and Treatment of Glioma. Frontiers in Oncology. 12. 717926–717926. 16 indexed citations

Ma, Chunchun, Hongliang Wang, Gang Zong, et al.. (2021). EGR1 modulated LncRNA HNF1A-AS1 drives glioblastoma progression via miR-22-3p/ENO1 axis. Cell Death Discovery. 7(1). 350–350. 11 indexed citations

Bian, Erbao, Xueran Chen, Li Cheng, et al.. (2021). Super-enhancer-associated TMEM44-AS1 aggravated glioma progression by forming a positive feedback loop with Myc. Journal of Experimental & Clinical Cancer Research. 40(1). 337–337. 27 indexed citations

Tang, Feng, Yadi Xu, Hongliang Wang, Erbao Bian, & Bing Zhao. (2020). LncRNA-ATB in cancers: what do we know so far?. Molecular Biology Reports. 47(5). 4077–4086. 15 indexed citations

10.

Wang, Hongliang, Feng Tang, Erbao Bian, et al.. (2019). IFITM3/STAT3 axis promotes glioma cells invasion and is modulated by TGF-β. Molecular Biology Reports. 47(1). 433–441. 22 indexed citations

11.

Bian, Erbao, Xueran Chen, Yadi Xu, et al.. (2019). A central role for MeCP2 in the epigenetic repression of miR-200c during epithelial-to-mesenchymal transition of glioma. Journal of Experimental & Clinical Cancer Research. 38(1). 366–366. 12 indexed citations

12.

He, Xiaojun, Erbao Bian, Chunchun Ma, et al.. (2018). Long non-coding RNA SPRY4-IT1 promotes the proliferation and invasion of U251 cells through upregulation of SKA2. Oncology Letters. 15(3). 3977–3984. 12 indexed citations

13.

Bian, Erbao, et al.. (2018). Repression of Dok7 expression mediated by DNMT1 promotes glioma cells proliferation. Biomedicine & Pharmacotherapy. 106. 678–685. 9 indexed citations

14.

Jiang, Tao, Bing Zhao, Xiaocan Li, & Jinghai Wan. (2016). ARPP-19 promotes proliferation and metastasis of human glioma. Neuroreport. 27(13). 960–966. 24 indexed citations

15.

Li, Jia, Erbao Bian, Xiaojun He, et al.. (2015). Epigenetic repression of long non-coding RNA MEG3 mediated by DNMT1 represses the p53 pathway in gliomas. International Journal of Oncology. 48(2). 723–733. 90 indexed citations

16.

Bian, Erbao, Jia Li, Xiaojun He, et al.. (2014). Epigenetic modification in gliomas: role of the histone methyltransferase EZH2. Expert Opinion on Therapeutic Targets. 18(10). 1197–1206. 14 indexed citations

17.

Bian, Erbao, et al.. (2014). LncRNAs: New Players in Gliomas, With Special Emphasis on the Interaction of lncRNAs With EZH2. Journal of Cellular Physiology. 230(3). 496–503. 43 indexed citations

18.

Zhao, Bing, et al.. (2013). Gallic acid reduces cell viability, proliferation, invasion and angiogenesis in human cervical cancer cells. Oncology Letters. 6(6). 1749–1755. 117 indexed citations

19.

Wang, Hongliang, Ping Li, & Bing Zhao. (2013). Knockdown of NOB1 expression by RNAi inhibits cellular proliferation and migration in human gliomas. Gene. 528(2). 146–153. 12 indexed citations

20.

Zhang, Qijun, et al.. (2006). Construction of a Microsatellite Linkage Map with Two Sequenced Rice Varieties. Acta Genetica Sinica. 33(2). 152–160. 4 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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