Binbin Cui

1.1k total citations
53 papers, 743 citations indexed

About

Binbin Cui is a scholar working on Oncology, Pathology and Forensic Medicine and Surgery. According to data from OpenAlex, Binbin Cui has authored 53 papers receiving a total of 743 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Oncology, 19 papers in Pathology and Forensic Medicine and 12 papers in Surgery. Recurrent topics in Binbin Cui's work include Genetic factors in colorectal cancer (16 papers), Colorectal Cancer Screening and Detection (10 papers) and Ferroptosis and cancer prognosis (9 papers). Binbin Cui is often cited by papers focused on Genetic factors in colorectal cancer (16 papers), Colorectal Cancer Screening and Detection (10 papers) and Ferroptosis and cancer prognosis (9 papers). Binbin Cui collaborates with scholars based in China, Australia and Singapore. Binbin Cui's co-authors include Yanlong Liu, Yashuang Zhao, Yongmin Li, Lin Zhu, Yanlong Liu, Bojian Xie, Junnan Guo, Xinshu Dong, Shuangyu Lv and Fulan Hu and has published in prestigious journals such as PLoS ONE, Scientific Reports and Frontiers in Immunology.

In The Last Decade

Binbin Cui

48 papers receiving 727 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Binbin Cui China 16 267 244 145 134 132 53 743
Lei Xue China 20 474 1.8× 194 0.8× 234 1.6× 206 1.5× 216 1.6× 56 1.0k
Yen‐Hao Su Taiwan 17 474 1.8× 290 1.2× 266 1.8× 195 1.5× 274 2.1× 54 1.1k
Chang Pan China 18 450 1.7× 116 0.5× 161 1.1× 107 0.8× 136 1.0× 45 869
Aman Xu China 12 209 0.8× 242 1.0× 176 1.2× 180 1.3× 192 1.5× 28 873
In Hee Lee South Korea 14 424 1.6× 182 0.7× 101 0.7× 58 0.4× 106 0.8× 55 920
Nicole Huttary Austria 19 439 1.6× 352 1.4× 185 1.3× 71 0.5× 281 2.1× 32 1.1k
Xiaojun Zhou China 16 269 1.0× 126 0.5× 150 1.0× 96 0.7× 149 1.1× 69 708
Huilai Miao China 16 428 1.6× 139 0.6× 180 1.2× 74 0.6× 73 0.6× 36 771

Countries citing papers authored by Binbin Cui

Since Specialization
Citations

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

Fields of papers citing papers by Binbin Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Binbin Cui

This figure shows the co-authorship network connecting the top 25 collaborators of Binbin Cui. A scholar is included among the top collaborators of Binbin Cui 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 Binbin Cui. Binbin Cui 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.
Lou, Shenghan, et al.. (2025). Gene Swin transformer: new deep learning method for colorectal cancer prognosis using transcriptomic data. Briefings in Bioinformatics. 26(3). 1 indexed citations
2.
3.
Cui, Binbin, et al.. (2023). Cuproplasia characterization in colon cancer assists to predict prognosis and immunotherapeutic response. Frontiers in Oncology. 13. 1061084–1061084. 7 indexed citations
4.
Xia, Tianyi, et al.. (2022). A Novel Quantification System Combining iTRAQ Technology and Multi-Omics Assessment to Predict Prognosis and Immunotherapy Efficacy in Colon Cancer. Frontiers in Bioengineering and Biotechnology. 10. 862619–862619. 3 indexed citations
5.
Jiang, Xiufeng, et al.. (2022). Exploring biomarkers for prognosis and neoadjuvant chemosensitivity in rectal cancer: Multi-omics and ctDNA sequencing collaboration. Frontiers in Immunology. 13. 1013828–1013828. 5 indexed citations
6.
Cui, Binbin, Mengjun Liu, Qing Li, et al.. (2022). Pharmacological inhibition of SMYD2 protects against cisplatin-induced acute kidney injury in mice. Frontiers in Pharmacology. 13. 829630–829630. 12 indexed citations
7.
Liu, Feng, Binbin Cui, Yanfen Wu, et al.. (2021). Correlation of Serum Adropin Levels with Risk Factors of Cardiovascular Disease in Hemodialysis Patients. Metabolic Syndrome and Related Disorders. 19(7). 401–408. 9 indexed citations
8.
Chen, Chen, Yanlong Liu, Peng Han, & Binbin Cui. (2021). Research Progress of Preoperative FPR, FAR or AFR in Patients with Colorectal Cancer. Cancer Management and Research. Volume 13. 1791–1801. 13 indexed citations
9.
Huang, Hao, Jinming Fu, Lei Zhang, et al.. (2021). Integrative Analysis of Identifying Methylation-Driven Genes Signature Predicts Prognosis in Colorectal Carcinoma. Frontiers in Oncology. 11. 629860–629860. 12 indexed citations
10.
Wang, Jianyi, Minghui Zhang, Shuoshuo Wang, et al.. (2021). Comprehensive Analysis of Subtype-Specific Molecular Characteristics of Colon Cancer: Specific Genes, Driver Genes, Signaling Pathways, and Immunotherapy Responses. Frontiers in Cell and Developmental Biology. 9. 758776–758776. 15 indexed citations
11.
12.
Li, Jingwen, Yongmin Li, He Liu, Yanlong Liu, & Binbin Cui. (2017). The four-transmembrane protein MAL2 and tumor protein D52 (TPD52) are highly expressed in colorectal cancer and correlated with poor prognosis. PLoS ONE. 12(5). e0178515–e0178515. 38 indexed citations
13.
Li, Guangxiao, Fulan Hu, Jialong Fan, et al.. (2015). Intronic and promoter polymorphisms of hMLH1/hMSH2 and colorectal cancer risk in Heilongjiang Province of China. Journal of Cancer Research and Clinical Oncology. 141(8). 1393–1404. 3 indexed citations
14.
Ge, Jie, Lin Zhu, Junde Zhou, et al.. (2015). Association between co-inhibitory molecule gene tagging single nucleotide polymorphisms and the risk of colorectal cancer in Chinese. Journal of Cancer Research and Clinical Oncology. 141(9). 1533–1544. 36 indexed citations
15.
Wang, Yibaina, Dandan Li, Xia Li, et al.. (2014). Prognostic significance of hMLH1/hMSH2 gene mutations and hMLH1 promoter methylation in sporadic colorectal cancer. Medical Oncology. 31(7). 39–39. 10 indexed citations
16.
Zhu, Lin, Yibaina Wang, Jie Ge, et al.. (2014). Association between Toll-like receptor 4 and interleukin 17 gene polymorphisms and colorectal cancer susceptibility in Northeast China. Medical Oncology. 31(10). 73–73. 11 indexed citations
17.
Chen, Gang, Zheng Liu, Peng Han, Jingwen Li, & Binbin Cui. (2013). The Learning Curve for the Laparoscopic Approach for Colorectal Cancer: A Single Institution's Experience. Journal of Laparoendoscopic & Advanced Surgical Techniques. 23(1). 17–21. 10 indexed citations
18.
Jin, Ketao, et al.. (2013). Learning curve for endoscopic thyroidectomy: a single teaching hospital study. OncoTargets and Therapy. 6. 47–47. 22 indexed citations
19.
Zhu, Lin, Fan Wang, Fulan Hu, et al.. (2013). Association between MTHFR polymorphisms and overall survival of colorectal cancer patients in Northeast China. Medical Oncology. 30(1). 467–467. 9 indexed citations
20.
Li, Shuying, Xiaojuan Zhao, Zhiwei Wu, et al.. (2013). Polymorphisms in arachidonic acid metabolism-related genes and the risk and prognosis of colorectal cancer. Familial Cancer. 12(4). 755–765. 17 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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