Xiaopeng Cui

899 total citations
35 papers, 676 citations indexed

About

Xiaopeng Cui is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Xiaopeng Cui has authored 35 papers receiving a total of 676 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 16 papers in Oncology and 13 papers in Cancer Research. Recurrent topics in Xiaopeng Cui's work include Cancer-related Molecular Pathways (9 papers), RNA modifications and cancer (7 papers) and Cancer Mechanisms and Therapy (5 papers). Xiaopeng Cui is often cited by papers focused on Cancer-related Molecular Pathways (9 papers), RNA modifications and cancer (7 papers) and Cancer Mechanisms and Therapy (5 papers). Xiaopeng Cui collaborates with scholars based in China and United States. Xiaopeng Cui's co-authors include Xianjuan Shen, Song He, Runzhou Ni, Cuihua Lu, Aiguo Shen, Chun Cheng, Qing Ke, Mudan Lu, Shaoqing Ju and Jinxia Liu and has published in prestigious journals such as International Journal of Molecular Sciences, Quarterly Journal of the Royal Meteorological Society and Journal of Cellular Biochemistry.

In The Last Decade

Xiaopeng Cui

34 papers receiving 667 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaopeng Cui China 17 470 244 137 78 77 35 676
Su Lu China 17 537 1.1× 337 1.4× 158 1.2× 72 0.9× 90 1.2× 32 794
Shashirekha Shetty United States 10 584 1.2× 269 1.1× 214 1.6× 118 1.5× 98 1.3× 31 856
Leilei Niu China 12 425 0.9× 215 0.9× 106 0.8× 68 0.9× 39 0.5× 21 602
Lixiang Wang China 17 685 1.5× 318 1.3× 102 0.7× 66 0.8× 56 0.7× 21 867
Mingsong Wang China 17 549 1.2× 284 1.2× 106 0.8× 42 0.5× 50 0.6× 33 761
Haihua Qian China 17 500 1.1× 311 1.3× 261 1.9× 53 0.7× 140 1.8× 29 828
Shi‐Juan Mai China 15 375 0.8× 225 0.9× 133 1.0× 51 0.7× 57 0.7× 32 572
Antoine L’Hermitte United States 8 391 0.8× 204 0.8× 151 1.1× 38 0.5× 62 0.8× 10 672
Frauke Goeman Italy 18 407 0.9× 186 0.8× 161 1.2× 58 0.7× 101 1.3× 32 625
Zhu Mei China 13 609 1.3× 331 1.4× 206 1.5× 30 0.4× 94 1.2× 22 850

Countries citing papers authored by Xiaopeng Cui

Since Specialization
Citations

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

Fields of papers citing papers by Xiaopeng Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaopeng Cui

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaopeng Cui. A scholar is included among the top collaborators of Xiaopeng 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 Xiaopeng Cui. Xiaopeng 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.
2.
Zhang, Yong, et al.. (2025). Adaptive temporal fusion network with depth supervision and modulation for robust three-dimensional object detection in complex scenes. Engineering Applications of Artificial Intelligence. 144. 109988–109988. 2 indexed citations
3.
Zhang, Chengchen, Jibin Liu, Jun Wu, et al.. (2024). Key molecular DNA damage responses of human cells to radiation. Frontiers in Cell and Developmental Biology. 12. 1422520–1422520. 4 indexed citations
4.
Xu, Feifan, Haiyun Zhang, Xiaoyan Si, et al.. (2021). Assessment of CD27 expression on T-cells as a diagnostic and therapeutic tool for patients with smear-negative pulmonary tuberculosis. BMC Immunology. 22(1). 41–41. 6 indexed citations
5.
6.
Chen, Xin, Jing Li, Xunlei Zhang, et al.. (2020). Prognostic and clinicopathological significance of pretreatment mean platelet volume in cancer: a meta-analysis. BMJ Open. 10(10). e037614–e037614. 8 indexed citations
7.
Li, Jing, Jingjing Shao, Xunlei Zhang, et al.. (2020). Prognostic Value of the Pretreatment Systemic Immune-Inflammation Index in Patients with Colorectal Cancer. Gastroenterology Research and Practice. 2020. 1–8. 7 indexed citations
8.
Chen, Juan, Ziheng Wang, Xianjuan Shen, Xiaopeng Cui, & Yuehua Guo. (2019). Identification of novel biomarkers and small molecule drugs in human colorectal cancer by microarray and bioinformatics analysis. Molecular Genetics & Genomic Medicine. 7(7). e00713–e00713. 37 indexed citations
9.
Yin, Qingqing, Xianjuan Shen, Xiaopeng Cui, & Shaoqing Ju. (2019). Elevated serum lncRNA TUG1 levels are a potential diagnostic biomarker of multiple myeloma. Experimental Hematology. 79. 47–55.e2. 27 indexed citations
10.
Liu, Jinxia, Wenkai Ni, Lishuai Qu, et al.. (2016). Decreased Expression of EHD2 Promotes Tumor Metastasis and Indicates Poor Prognosis in Hepatocellular Carcinoma. Digestive Diseases and Sciences. 61(9). 2554–2567. 14 indexed citations
11.
Cui, Xiaopeng, Ji Qian, Qianqian Ji, et al.. (2016). The suppressor of cytokine signaling SOCS1 promotes apoptosis of intestinal epithelial cells via p53 signaling in Crohn's disease. Experimental and Molecular Pathology. 101(1). 1–11. 19 indexed citations
12.
Cui, Xiaopeng, Zhipeng Lin, Yuyan Chen, et al.. (2016). Upregulated TRIM32 correlates with enhanced cell proliferation and poor prognosis in hepatocellular carcinoma. Molecular and Cellular Biochemistry. 421(1-2). 127–137. 36 indexed citations
13.
Lu, Hua, Baoying Hu, Jinxia Liu, et al.. (2016). Upregulated expression of Nucleostemin/GNL3 is associated with poor prognosis and Sorafenib Resistance in Hepatocellular Carcinoma. Pathology - Research and Practice. 213(6). 688–697. 11 indexed citations
14.
Huang, Wei, Xiaopeng Cui, Yuyan Chen, et al.. (2015). High VRK1 expression contributes to cell proliferation and survival in hepatocellular carcinoma. Pathology - Research and Practice. 212(3). 171–178. 22 indexed citations
15.
Lu, Cuihua, Guoliang Liu, Xiaopeng Cui, et al.. (2013). Expression of SGTA Correlates with Prognosis and Tumor Cell Proliferation in Human Hepatocellular Carcinoma. Pathology & Oncology Research. 20(1). 51–60. 15 indexed citations
16.
Liu, Guoliang, Xiaodong Huang, Xiaopeng Cui, et al.. (2013). High SKIP expression is correlated with poor prognosis and cell proliferation of hepatocellular carcinoma. Medical Oncology. 30(3). 537–537. 11 indexed citations
17.
Liu, Yanhua, Xiaopeng Cui, Cuihua Lu, et al.. (2013). Upregulated expression of CAP1 is associated with tumor migration and metastasis in hepatocellular carcinoma. Pathology - Research and Practice. 210(3). 169–175. 26 indexed citations
18.
Lu, Mudan, Jianbo Ma, Chun Cheng, et al.. (2009). The Expression and Prognosis of FOXO3a and Skp2 in Human Hepatocellular Carcinoma. Pathology & Oncology Research. 15(4). 679–687. 57 indexed citations
19.
Ke, Qing, Juling Ji, Chun Cheng, et al.. (2009). Expression and prognostic role of Spy1 as a novel cell cycle protein in hepatocellular carcinoma. Experimental and Molecular Pathology. 87(3). 167–172. 38 indexed citations
20.
Lu, Mudan, Min Fei, You Wang, et al.. (2008). Mutant p27Kip1 and its Potential Effect as Hepatocellular Gene Therapy. Archives of Medical Research. 39(6). 573–581. 6 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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