Ouxuan Liu

456 total citations
19 papers, 246 citations indexed

About

Ouxuan Liu is a scholar working on Molecular Biology, Cancer Research and Reproductive Medicine. According to data from OpenAlex, Ouxuan Liu has authored 19 papers receiving a total of 246 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 9 papers in Cancer Research and 8 papers in Reproductive Medicine. Recurrent topics in Ouxuan Liu's work include Ovarian cancer diagnosis and treatment (8 papers), Ferroptosis and cancer prognosis (6 papers) and Cancer-related molecular mechanisms research (5 papers). Ouxuan Liu is often cited by papers focused on Ovarian cancer diagnosis and treatment (8 papers), Ferroptosis and cancer prognosis (6 papers) and Cancer-related molecular mechanisms research (5 papers). Ouxuan Liu collaborates with scholars based in China, Germany and United States. Ouxuan Liu's co-authors include Yuexin Hu, Bei Lin, Rui Gou, Mingjun Zheng, Hui Dong, Xiao Li, Juanjuan Liu, Lingling Gao, Shuang Wang and Xin Nie and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Life Sciences and Genomics.

In The Last Decade

Ouxuan Liu

18 papers receiving 244 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ouxuan Liu China 11 151 91 70 66 30 19 246
Shu‐Guang Su China 9 193 1.3× 98 1.1× 44 0.6× 40 0.6× 18 0.6× 13 262
Yasuko Oguri Japan 9 129 0.9× 60 0.7× 43 0.6× 74 1.1× 50 1.7× 20 229
Naziha Mansuri Finland 8 123 0.8× 92 1.0× 83 1.2× 113 1.7× 46 1.5× 9 272
Monika Kowal Poland 9 141 0.9× 53 0.6× 42 0.6× 53 0.8× 31 1.0× 15 258
Edyta Vieth United States 7 267 1.8× 113 1.2× 38 0.5× 72 1.1× 26 0.9× 7 328
Tracy Litzi United States 10 192 1.3× 110 1.2× 30 0.4× 63 1.0× 25 0.8× 14 313
Stefanie Schrauwen Belgium 7 135 0.9× 80 0.9× 56 0.8× 97 1.5× 11 0.4× 7 267
David T. Hoang United States 5 114 0.8× 64 0.7× 113 1.6× 76 1.2× 14 0.5× 7 256
Jianli Zhao China 6 100 0.7× 66 0.7× 44 0.6× 110 1.7× 12 0.4× 19 252
J. Schwarz Germany 7 165 1.1× 71 0.8× 69 1.0× 61 0.9× 22 0.7× 9 308

Countries citing papers authored by Ouxuan Liu

Since Specialization
Citations

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

Fields of papers citing papers by Ouxuan Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ouxuan Liu

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

All Works

19 of 19 papers shown
1.
Shi, Benkang, Juanjuan Liu, Yuexin Hu, et al.. (2025). Random forest-based model for the recurrence prediction of borderline ovarian tumor: clinical development and validation. Journal of Cancer Research and Clinical Oncology. 151(5). 160–160.
2.
Li, Xiao, et al.. (2025). PSAT1 regulated by STAT4 enhances the proliferation, invasion and migration of ovarian cancer cells via the PI3K/AKT pathway. International Journal of Molecular Medicine. 55(6). 1–12. 1 indexed citations
3.
Nie, Xin, Lingling Gao, Mingjun Zheng, et al.. (2024). ST14 interacts with TMEFF1 and is a predictor of poor prognosis in ovarian cancer. BMC Cancer. 24(1). 330–330. 2 indexed citations
4.
5.
Zheng, Mingjun, Yuexin Hu, Ouxuan Liu, et al.. (2023). Oxidative Stress Response Biomarkers of Ovarian Cancer Based on Single-Cell and Bulk RNA Sequencing. Oxidative Medicine and Cellular Longevity. 2023. 1–22. 16 indexed citations
6.
Wang, Shuang, et al.. (2022). miRNA-651-3p regulates EMT in ovarian cancer cells by targeting ZNF703 and via the MEK/ERK pathway. Biochemical and Biophysical Research Communications. 619. 76–83. 9 indexed citations
7.
Gou, Rui, Xiao Li, Hui Dong, et al.. (2022). RAD21 Confers Poor Prognosis and Affects Ovarian Cancer Sensitivity to Poly(ADP-Ribose)Polymerase Inhibitors Through DNA Damage Repair. Frontiers in Oncology. 12. 936550–936550. 9 indexed citations
8.
Nie, Xin, Dawo Liu, Mingjun Zheng, et al.. (2022). HERPUD1 promotes ovarian cancer cell survival by sustaining autophagy and inhibit apoptosis via PI3K/AKT/mTOR and p38 MAPK signaling pathways. BMC Cancer. 22(1). 1338–1338. 14 indexed citations
9.
Li, Siting, Yuexin Hu, Ouxuan Liu, Xiao Li, & Bei Lin. (2022). Prognostic biomarker MCP-4 triggers epithelial-mesenchymal transition via the p38 MAPK pathway in ovarian cancer. Frontiers in Oncology. 12. 1034737–1034737. 3 indexed citations
10.
Gou, Rui, Mingjun Zheng, Yuexin Hu, et al.. (2022). Identification and clinical validation of NUSAP1 as a novel prognostic biomarker in ovarian cancer. BMC Cancer. 22(1). 690–690. 15 indexed citations
11.
Hu, Yuexin, Mingjun Zheng, Shuang Wang, et al.. (2021). Identification of a five-gene signature of the RGS gene family with prognostic value in ovarian cancer. Genomics. 113(4). 2134–2144. 43 indexed citations
12.
Gou, Rui, Yuexin Hu, Ouxuan Liu, et al.. (2021). PGK1 Is a Key Target for Anti-Glycolytic Therapy of Ovarian Cancer: Based on the Comprehensive Analysis of Glycolysis-Related Genes. Frontiers in Oncology. 11. 682461–682461. 24 indexed citations
13.
Wang, Shuang, Caixia Wang, Ouxuan Liu, et al.. (2021). Prognostic value of immune-related cells and genes in the tumor microenvironment of ovarian cancer, especially CST4. Life Sciences. 277. 119461–119461. 9 indexed citations
14.
Li, Xiao, Caixia Wang, Shuang Wang, et al.. (2021). YWHAE as an HE4 interacting protein can influence the malignant behaviour of ovarian cancer by regulating the PI3K/AKT and MAPK pathways. Cancer Cell International. 21(1). 15 indexed citations
15.
Liu, Ouxuan, Caixia Wang, Shuang Wang, et al.. (2021). Keratin 80 regulated by miR-206/ETS1 promotes tumor progression via the MEK/ERK pathway in ovarian cancer. Journal of Cancer. 12(22). 6835–6850. 18 indexed citations
16.
Hu, Yuexin, Mingjun Zheng, Dandan Zhang, et al.. (2021). Identification of the prognostic value of a 2-gene signature of the WNT gene family in UCEC using bioinformatics and real-world data. Cancer Cell International. 21(1). 516–516. 10 indexed citations
17.
Zheng, Mingjun, Yuexin Hu, Rui Gou, et al.. (2020). Identification of immune‐enhanced molecular subtype associated with BRCA1 mutations, immune checkpoints and clinical outcome in ovarian carcinoma. Journal of Cellular and Molecular Medicine. 24(5). 2819–2831. 22 indexed citations
18.
Wang, Shuang, Caixia Wang, Yuexin Hu, et al.. (2020). ZNF703 promotes tumor progression in ovarian cancer by interacting with HE4 and epigenetically regulating PEA15. Journal of Experimental & Clinical Cancer Research. 39(1). 264–264. 19 indexed citations
19.
Hu, Yuexin, Mingjun Zheng, Caixia Wang, et al.. (2020). Identification of KIF23 as a prognostic signature for ovarian cancer based on large-scale sampling and clinical validation.. PubMed. 12(9). 4955–4976. 15 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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