Yane Gao

431 total citations
20 papers, 325 citations indexed

About

Yane Gao is a scholar working on Molecular Biology, Cancer Research and Epidemiology. According to data from OpenAlex, Yane Gao has authored 20 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Cancer Research and 4 papers in Epidemiology. Recurrent topics in Yane Gao's work include Cancer-related molecular mechanisms research (5 papers), Cervical Cancer and HPV Research (4 papers) and Epigenetics and DNA Methylation (3 papers). Yane Gao is often cited by papers focused on Cancer-related molecular mechanisms research (5 papers), Cervical Cancer and HPV Research (4 papers) and Epigenetics and DNA Methylation (3 papers). Yane Gao collaborates with scholars based in China and Australia. Yane Gao's co-authors include Run Tian, Yongkang Yang, Jingyuan Li, Dakang Xu, Qin Li, Wei Liu, Kunzheng Wang, Xiaofang Li, Zongfang Li and Wenjing Lin and has published in prestigious journals such as Scientific Reports, European Journal of Pharmacology and Human Pathology.

In The Last Decade

Yane Gao

18 papers receiving 323 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yane Gao China 10 212 137 56 43 33 20 325
Iris Kufferath Austria 8 265 1.3× 45 0.3× 68 1.2× 53 1.2× 27 0.8× 11 396
Reem K. Shahin Egypt 11 291 1.4× 310 2.3× 57 1.0× 44 1.0× 22 0.7× 14 412
Amir Sadra Zangouei Iran 12 306 1.4× 249 1.8× 48 0.9× 30 0.7× 35 1.1× 28 397
Manuela Lanzafame Italy 11 342 1.6× 200 1.5× 67 1.2× 47 1.1× 55 1.7× 21 496
Da-Li Tian China 11 310 1.5× 198 1.4× 128 2.3× 25 0.6× 50 1.5× 24 447
Jou‐Ho Shih Taiwan 8 222 1.0× 112 0.8× 77 1.4× 16 0.4× 31 0.9× 10 292
Dora Ling Australia 8 266 1.3× 123 0.9× 37 0.7× 52 1.2× 31 0.9× 8 357
Heba M. Midan Egypt 15 374 1.8× 397 2.9× 76 1.4× 58 1.3× 22 0.7× 17 527
Yin‐Ling Xiu China 15 513 2.4× 427 3.1× 69 1.2× 36 0.8× 24 0.7× 23 626

Countries citing papers authored by Yane Gao

Since Specialization
Citations

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

Fields of papers citing papers by Yane Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yane Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Yane Gao. A scholar is included among the top collaborators of Yane Gao 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 Yane Gao. Yane Gao 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.
Yin, Xuewei, Huixia Wei, Lijie Guo, et al.. (2025). Therapeutic effect of miR-30b-5p-loaded lentivirus on experimental autoimmune uveitis via inhibiting Notch signaling activation. Journal of Translational Medicine. 23(1). 426–426.
2.
Wang, Xiaodong, Xiaohui Lv, Jingwen Wang, et al.. (2025). A multimodal uncertainty-aware AI system optimizes ovarian cancer risk assessment workflow. npj Digital Medicine. 8(1). 614–614.
3.
Xu, Shuqin, et al.. (2023). MiR-223-3p attenuates M1 macrophage polarization via suppressing the Notch signaling pathway and NLRP3-mediated pyroptosis in experimental autoimmune uveitis. European Journal of Pharmacology. 960. 176139–176139. 9 indexed citations
4.
Gao, Xiang, Zuoli Sun, Yuhong Li, et al.. (2021). Reduced Plasma Levels of α-Klotho and Their Correlation With Klotho Polymorphisms in Elderly Patients With Major Depressive Disorders. Frontiers in Psychiatry. 12. 682691–682691. 9 indexed citations
5.
Li, Xiaofang, Xiaoling Wu, Yun Li, et al.. (2019). Promoter hypermethylation of SOX11 promotes the progression of cervical cancer in�vitro and in�vivo. Oncology Reports. 41(4). 2351–2360. 12 indexed citations
6.
Tian, Run, Xiaofang Li, Yane Gao, et al.. (2018). Identification and validation of the role of matrix metalloproteinase-1 in cervical cancer. International Journal of Oncology. 52(4). 1198–1208. 42 indexed citations
7.
Li, Xiaofang, Run Tian, Hugh Gao, et al.. (2017). Identification of a histone family gene signature for predicting the prognosis of cervical cancer patients. Scientific Reports. 7(1). 16495–16495. 53 indexed citations
8.
Wang, Yidong, Yane Gao, Mei Gao, et al.. (2017). Msi1 promotes tumor progression by epithelial-to-mesenchymal transition in cervical cancer. Human Pathology. 65. 53–61. 20 indexed citations
9.
Zhang, Wei, Yinghao Jiang, Qingmiao Yu, et al.. (2015). EGFR Promoter Methylation, EGFR Mutation, and HPV Infection in Chinese Cervical Squamous Cell Carcinoma. Applied immunohistochemistry & molecular morphology. 23(9). 661–666. 8 indexed citations
10.
Liu, Tingting, et al.. (2015). Macular Abnormalities in Chinese Patients with Uveitis. Optometry and Vision Science. 92(8). 858–862. 13 indexed citations
11.
Yang, Yongkang, et al.. (2015). MicroRNA-494 promotes cervical cancer proliferation through the regulation of PTEN. Oncology Reports. 33(5). 2393–2401. 49 indexed citations
12.
Zhang, Hang, Zhen Li, Cuili Wang, et al.. (2015). The polycomb group protein enhancer of zeste 2 is a novel therapeutic target for cervical cancer. Clinical and Experimental Pharmacology and Physiology. 42(5). 458–464. 20 indexed citations
13.
Ren, Juan, Yane Gao, Yuelang Zhang, et al.. (2014). Relations between GPR4 Expression, Microvascular Density (MVD) and Clinical Pathological Characteristics of Patients with Epithelial Ovarian Carcinoma (EOC). Current Pharmaceutical Design. 20(11). 1904–1916. 14 indexed citations
14.
Liu, Wei, et al.. (2013). EphB2 promotes cervical cancer progression by inducing epithelial-mesenchymal transition. Human Pathology. 45(2). 372–381. 47 indexed citations
15.
Zhang, Wei, Yane Gao, Yinghao Jiang, et al.. (2013). EGFR Promoter Methylation Detection in Cervical Cancer by a Hybridization-Fluorescence Polarization Assay. Diagnostic Molecular Pathology. 22(2). 102–106. 4 indexed citations
16.
Chen, Kunlun, Yi Wu, Mu Li, et al.. (2013). [La protein expression in cervical cancer tissues and its clinical significance].. PubMed. 33(7). 999–1003. 1 indexed citations
17.
Gao, Yane. (2012). Clinical value of B-type ultrasonography combined with serum levels of OPN and CA125 in the early diagnosis of ovarian cancer. 2 indexed citations
18.
Zhang, Ju, et al.. (2009). Asymmetric GP5+/6+ PCR and hybridization with fluorescence polarization assay of 15 human papillomavirus genotypes in clinical samples. Journal of Clinical Virology. 44(2). 106–110. 15 indexed citations
19.
Gao, Yane, et al.. (2003). Detection and genotyping of human papillomavirus DNA in cervical cancer tissues with fluorescence polarization.. PubMed. 35(11). 1029–34. 3 indexed citations
20.
Zhang, Ju, Xiaojun Yan, Jianzhong Sun, et al.. (2003). A high throughout assay for human papillomavirus genotypes with fluorescence polarization.. PubMed. 116(8). 1137–40. 4 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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