Erbao Bian

2.0k total citations
61 papers, 1.6k citations indexed

About

Erbao Bian is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Erbao Bian has authored 61 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Molecular Biology, 31 papers in Cancer Research and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Erbao Bian's work include Cancer-related molecular mechanisms research (25 papers), MicroRNA in disease regulation (17 papers) and RNA Research and Splicing (14 papers). Erbao Bian is often cited by papers focused on Cancer-related molecular mechanisms research (25 papers), MicroRNA in disease regulation (17 papers) and RNA Research and Splicing (14 papers). Erbao Bian collaborates with scholars based in China and United States. Erbao Bian's co-authors include Bing Zhao, Cheng Huang, Gang Zong, Chunchun Ma, Xiongwen Lv, Taotao Ma, Hongliang Wang, Hui Tao, Jun Li and Cheng Chang and has published in prestigious journals such as PLoS ONE, Scientific Reports and Chemical Engineering Journal.

In The Last Decade

Erbao Bian

60 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Erbao Bian China 23 1.1k 745 241 168 147 61 1.6k
Kornélia Baghy Hungary 22 645 0.6× 277 0.4× 201 0.8× 220 1.3× 111 0.8× 54 1.3k
Jianyu Liu China 16 910 0.8× 220 0.3× 176 0.7× 87 0.5× 104 0.7× 36 1.3k
Deshui Jia China 17 1.1k 0.9× 717 1.0× 82 0.3× 57 0.3× 112 0.8× 24 1.6k
Amy Brightman United States 7 917 0.8× 725 1.0× 168 0.7× 117 0.7× 33 0.2× 7 1.4k
Juanli Duan China 19 591 0.5× 348 0.5× 270 1.1× 253 1.5× 49 0.3× 34 1.1k
Qinggong Yuan Germany 15 555 0.5× 315 0.4× 152 0.6× 247 1.5× 37 0.3× 33 958
Jian Han China 18 1.2k 1.1× 733 1.0× 88 0.4× 40 0.2× 66 0.4× 50 1.6k
Lishuai Qu China 19 497 0.4× 262 0.4× 376 1.6× 304 1.8× 61 0.4× 48 1.0k

Countries citing papers authored by Erbao Bian

Since Specialization
Citations

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

Fields of papers citing papers by Erbao Bian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erbao Bian

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

All Works

20 of 20 papers shown
1.
Wang, Yunlong, Mengting Wang, Hong Liu, et al.. (2025). Cation-free siRNA micelle knockdown of EPHA2 improves sensitivity of imatinib for osteosarcoma treatment. Chemical Engineering Journal. 513. 162705–162705.
2.
Tian, Dasheng, Fei Huang, Lei Wang, et al.. (2025). Comprehensive analysis of ESCRT transcriptome-associated signatures and identification of the regulatory role of LMO7-AS1 in osteosarcoma. Cancer Cell International. 25(1). 29–29. 1 indexed citations
3.
Zhao, Qingzhong, et al.. (2024). Construction of a 5-Gene super-enhancer-related signature for osteosarcoma prognosis and the regulatory role of TNFRSF11B in osteosarcoma. Translational Oncology. 47. 102047–102047. 2 indexed citations
4.
Chen, Zhigang, Jun Liu, Jiajia Zhao, et al.. (2024). Roles of TRPM channels in glioma. Cancer Biology & Therapy. 25(1). 2338955–2338955. 8 indexed citations
5.
Yang, Zhihao, et al.. (2024). The role and application of small extracellular vesicles in glioma. Cancer Cell International. 24(1). 229–229. 7 indexed citations
6.
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
7.
Zhao, Qingzhong, et al.. (2023). Identification of a novel MYC target gene set signature for predicting the prognosis of osteosarcoma patients. Frontiers in Oncology. 13. 1169430–1169430. 1 indexed citations
8.
Li, Lianxin, Zhihao Yang, Yinfei Zheng, et al.. (2022). Identification of an endoplasmic reticulum stress-related signature associated with clinical prognosis and immune therapy in glioma. BMC Neurology. 22(1). 192–192. 6 indexed citations
9.
Zheng, Yinfei, Zhuang Jia, Yuxiang Chen, et al.. (2022). A Novel Defined Endoplasmic Reticulum Stress-Related lncRNA Signature for Prognosis Prediction and Immune Therapy in Glioma. Frontiers in Oncology. 12. 930923–930923. 7 indexed citations
10.
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
11.
Cheng, Meng, et al.. (2021). A Signature of Nine lncRNA Methylated Genes Predicts Survival in Patients With Glioma. Frontiers in Oncology. 11. 646409–646409. 11 indexed citations
12.
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
13.
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
14.
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
15.
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
16.
Bian, Erbao, Yuan‐Yuan Wang, Yang Yang, et al.. (2016). Hotair facilitates hepatic stellate cells activation and fibrogenesis in the liver. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1863(3). 674–686. 72 indexed citations
17.
Zhang, Hui, Bin Zhao, Cheng Huang, et al.. (2014). Melittin Restores PTEN Expression by Down-Regulating HDAC2 in Human Hepatocelluar Carcinoma HepG2 Cells. PLoS ONE. 9(5). e95520–e95520. 40 indexed citations
18.
Bian, Erbao, Cheng Huang, Hua Wang, et al.. (2013). Repression of Smad7 mediated by DNMT1 determines hepatic stellate cell activation and liver fibrosis in rats. Toxicology Letters. 224(2). 175–185. 69 indexed citations
19.
Bian, Erbao, Cheng Huang, Xiaoxia Chen, et al.. (2013). The role of methyl-CpG binding protein 2 in liver fibrosis. Toxicology. 309. 9–14. 19 indexed citations
20.
Tao, Hui, Cheng Huang, Jingjing Yang, et al.. (2011). MeCP2 controls the expression of RASAL1 in the hepatic fibrosis in rats. Toxicology. 290(2-3). 327–333. 75 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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