Xiaoping Liu

1.8k total citations
31 papers, 1.4k citations indexed

About

Xiaoping Liu is a scholar working on Molecular Biology, Cancer Research and Cellular and Molecular Neuroscience. According to data from OpenAlex, Xiaoping Liu has authored 31 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 19 papers in Cancer Research and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Xiaoping Liu's work include MicroRNA in disease regulation (19 papers), Cancer-related molecular mechanisms research (14 papers) and Circular RNAs in diseases (13 papers). Xiaoping Liu is often cited by papers focused on MicroRNA in disease regulation (19 papers), Cancer-related molecular mechanisms research (14 papers) and Circular RNAs in diseases (13 papers). Xiaoping Liu collaborates with scholars based in China, United States and France. Xiaoping Liu's co-authors include Hailin Tang, Xiaoming Xie, Minghua Wu, Lu Yang, Xinhua Xie, Qing Liu, Bo Chen, Zeyou Wang, Cailu Song and Minqing Wu and has published in prestigious journals such as Nature Genetics, PLoS ONE and Scientific Reports.

In The Last Decade

Xiaoping Liu

31 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoping Liu China 18 1.1k 841 118 84 80 31 1.4k
Kai Su Greene United States 11 738 0.7× 392 0.5× 75 0.6× 106 1.3× 82 1.0× 14 1.0k
Kaowen Yan China 17 907 0.8× 388 0.5× 118 1.0× 25 0.3× 115 1.4× 26 1.2k
Shijun Lu China 18 724 0.7× 265 0.3× 143 1.2× 117 1.4× 40 0.5× 29 965
Alexander K. Ebralidze United States 19 1.6k 1.5× 505 0.6× 156 1.3× 140 1.7× 77 1.0× 25 1.9k
Haofei Wang China 17 1.0k 0.9× 365 0.4× 155 1.3× 100 1.2× 78 1.0× 49 1.5k
Yifeng Lin China 19 726 0.7× 377 0.4× 184 1.6× 83 1.0× 57 0.7× 42 1.4k
Francesca Biagioni Italy 21 950 0.9× 568 0.7× 265 2.2× 64 0.8× 116 1.4× 35 1.4k
Satoshi Muraoka Japan 15 883 0.8× 274 0.3× 65 0.6× 42 0.5× 171 2.1× 32 1.1k
Qinbo Zhou United States 20 871 0.8× 509 0.6× 95 0.8× 162 1.9× 113 1.4× 26 1.4k

Countries citing papers authored by Xiaoping Liu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoping Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoping Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoping Liu. A scholar is included among the top collaborators of Xiaoping Liu 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 Xiaoping Liu. Xiaoping Liu 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.
Wen, Liangjian, Gailian Zhang, Xiaoping Liu, et al.. (2025). Regulation of reactive oxygen species and the role of mitochondrial apoptotic-related genes in rheumatoid arthritis. Scientific Reports. 15(1). 2165–2165. 3 indexed citations
2.
Liu, Xiaoping, et al.. (2025). Advances and challenges in cell therapy for neuropathic pain based on mesenchymal stem cells. Frontiers in Cell and Developmental Biology. 13. 1536566–1536566. 1 indexed citations
3.
4.
Xu, Leilei, Changhua Li, Hua Fu, & Xiaoping Liu. (2021). The CXCL12/CXCR7 signalling axis promotes proliferation and metastasis in cervical cancer. Medical Oncology. 38(5). 58–58. 15 indexed citations
5.
Ruan, Xiaolan, Xiaoping Liu, Haoli Ma, et al.. (2020). Analysis of the Interaction Network of Hub miRNAs-Hub Genes, Being Involved in Idiopathic Pulmonary Fibers and Its Emerging Role in Non-small Cell Lung Cancer. Frontiers in Genetics. 11. 302–302. 34 indexed citations
6.
Yu, Donghu, Wei Li, Xiaoping Liu, et al.. (2020). Screening and Functional Analysis of Hub MicroRNAs Related to Tumor Development in Colon Cancer. BioMed Research International. 2020(1). 3981931–3981931. 5 indexed citations
7.
Bi, Xiaobao, et al.. (2019). <p>Dexmedetomidine protects PC12 cells from lidocaine-induced cytotoxicity via downregulation of Stathmin 1</p>. Drug Design Development and Therapy. Volume 13. 2067–2079. 14 indexed citations
8.
Ji, Jia, Hao Chen, Xiaoping Liu, et al.. (2018). A miRNA Combination as Promising Biomarker for Hepatocellular Carcinoma Diagnosis: A Study Based on Bioinformatics Analysis. Journal of Cancer. 9(19). 3435–3446. 19 indexed citations
9.
Liu, Xiaoping, et al.. (2016). Modulation of Wnt Signaling Enhances Inner Ear Organoid Development in 3D Culture. PLoS ONE. 11(9). e0162508–e0162508. 56 indexed citations
10.
Cao, Weiwei, et al.. (2015). Protective effect of 2-deoxy-D-glucose on the cytotoxicity of cyclosporin A in vitro. Molecular Medicine Reports. 12(2). 2814–2820. 1 indexed citations
11.
Zhu, Haitao, Zhichao Zheng, Jianjun Zhang, et al.. (2015). Anticancer effect of 2,7-dihydroxy-3-methylanthraquinone on human gastric cancer SGC-7901 cellsin vitroandin vivo. Pharmaceutical Biology. 54(2). 285–292. 8 indexed citations
12.
Tang, Hailin, Qing Liu, Xiaoping Liu, et al.. (2015). Plasma miR-185 as a predictive biomarker for prognosis of malignant glioma. Journal of Cancer Research and Therapeutics. 11(3). 630–634. 49 indexed citations
13.
Tang, Hailin, Peng Liu, Lu Yang, et al.. (2014). miR-185 Suppresses Tumor Proliferation by Directly Targeting E2F6 and DNMT1 and Indirectly Upregulating BRCA1 in Triple-Negative Breast Cancer. Molecular Cancer Therapeutics. 13(12). 3185–3197. 101 indexed citations
14.
Song, Hongtao, Xinyang Sun, Liang Zhang, et al.. (2014). A preliminary analysis of association between the down-regulation of microRNA-181b expression and symptomatology improvement in schizophrenia patients before and after antipsychotic treatment. Journal of Psychiatric Research. 54. 134–140. 75 indexed citations
15.
Sun, Yingnan, Shourong Shen, Xiaoping Liu, et al.. (2014). miR-429 inhibits cells growth and invasion and regulates EMT-related marker genes by targeting Onecut2 in colorectal carcinoma. Molecular and Cellular Biochemistry. 390(1-2). 19–30. 119 indexed citations
16.
Tang, Hailin, Zeyou Wang, Qing Liu, et al.. (2014). Disturbing miR-182 and -381 Inhibits BRD7 Transcription and Glioma Growth by Directly Targeting LRRC4. PLoS ONE. 9(1). e84146–e84146. 52 indexed citations
17.
Feng, Ye, Hailin Tang, Qing Liu, et al.. (2014). miR-200b as a prognostic factor in breast cancer targets multiple members of RAB family. Journal of Translational Medicine. 12(1). 17–17. 67 indexed citations
18.
Chen, Bo, Hailin Tang, Xiaoping Liu, et al.. (2014). miR-22 as a prognostic factor targets glucose transporter protein type 1 in breast cancer. Cancer Letters. 356(2). 410–417. 83 indexed citations
19.
Liu, Qing, Hailin Tang, Xiaoping Liu, et al.. (2014). miR-200b as a prognostic factor targets multiple members of RAB family in glioma. Medical Oncology. 31(3). 859–859. 33 indexed citations
20.
Tang, Hailin, Xiaoping Liu, Xiaoling She, et al.. (2011). Interaction of hsa-miR-381 and glioma suppressor LRRC4 is involved in glioma growth. Brain Research. 1390. 21–32. 83 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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