Minya Yao

1.4k total citations
29 papers, 1.1k citations indexed

About

Minya Yao is a scholar working on Cancer Research, Molecular Biology and Oncology. According to data from OpenAlex, Minya Yao has authored 29 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cancer Research, 14 papers in Molecular Biology and 8 papers in Oncology. Recurrent topics in Minya Yao's work include MicroRNA in disease regulation (8 papers), Cancer-related molecular mechanisms research (7 papers) and Circular RNAs in diseases (6 papers). Minya Yao is often cited by papers focused on MicroRNA in disease regulation (8 papers), Cancer-related molecular mechanisms research (7 papers) and Circular RNAs in diseases (6 papers). Minya Yao collaborates with scholars based in China, Madagascar and United States. Minya Yao's co-authors include Peifen Fu, Peifen Fu, Weimin Fan, Kezhen Lv, Chengyong Du, Feiya Du, Bajin Wei, Yu Liu, Shuqian Wang and Weiyang Lou and has published in prestigious journals such as Oncogene, Biochemical and Biophysical Research Communications and Science Advances.

In The Last Decade

Minya Yao

27 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Minya Yao China 20 635 500 359 187 91 29 1.1k
Dengbo Ji China 16 498 0.8× 366 0.7× 328 0.9× 130 0.7× 85 0.9× 30 916
Jinglei Qu China 19 611 1.0× 297 0.6× 469 1.3× 183 1.0× 213 2.3× 50 1.1k
Shengni Hua China 16 829 1.3× 587 1.2× 253 0.7× 76 0.4× 122 1.3× 22 1.1k
Juan Moreno‐Rubio Spain 19 634 1.0× 393 0.8× 288 0.8× 86 0.5× 162 1.8× 35 1.1k
Yansu Chen China 20 664 1.0× 312 0.6× 349 1.0× 124 0.7× 120 1.3× 39 1.0k
Yefei Rong China 20 719 1.1× 469 0.9× 509 1.4× 256 1.4× 104 1.1× 41 1.3k
Changjie Lou China 16 468 0.7× 337 0.7× 271 0.8× 123 0.7× 82 0.9× 33 820
Yu Qi China 19 599 0.9× 305 0.6× 234 0.7× 211 1.1× 147 1.6× 55 951
Xuequan Yao China 20 494 0.8× 305 0.6× 313 0.9× 145 0.8× 172 1.9× 37 921

Countries citing papers authored by Minya Yao

Since Specialization
Citations

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

Fields of papers citing papers by Minya Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minya Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Minya Yao. A scholar is included among the top collaborators of Minya Yao 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 Minya Yao. Minya Yao 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.
Guo, Jiabao, et al.. (2022). Contrast-enhanced ultrasonography for early prediction of response of neoadjuvant chemotherapy in breast cancer. Frontiers in Oncology. 12. 1026647–1026647. 6 indexed citations
2.
Yao, Minya, Shuqian Wang, Luyan Chen, Bajin Wei, & Peifen Fu. (2021). Research on correlations of miR-585 expression with progression and prognosis of triple-negative breast cancer. Clinical and Experimental Medicine. 22(2). 201–207. 11 indexed citations
3.
Liu, Ping, Minya Yao, Xue Song, et al.. (2021). Benchmarking the Human Leukocyte Antigen Typing Performance of Three Assays and Seven Next-Generation Sequencing-Based Algorithms. Frontiers in Immunology. 12. 652258–652258. 21 indexed citations
4.
Weng, Tian-Hao, Minya Yao, Chen-Yu Hu, et al.. (2020). RON and MET Co-overexpression Are Significant Pathological Characteristics of Poor Survival and Therapeutic Targets of Tyrosine Kinase Inhibitors in Triple-Negative Breast Cancer. Cancer Research and Treatment. 52(3). 973–986. 21 indexed citations
5.
Wang, Shuqian, Yinan Yao, Minya Yao, Peifen Fu, & Weilin Wang. (2018). Interleukin-22 promotes triple negative breast cancer cells migration and paclitaxel resistance through JAK-STAT3/MAPKs/AKT signaling pathways. Biochemical and Biophysical Research Communications. 503(3). 1605–1609. 48 indexed citations
6.
Yao, Minya & Peifen Fu. (2018). Advances in anti-HER2 therapy in metastatic breast cancer. Chinese Clinical Oncology. 7(3). 27–27. 20 indexed citations
7.
Shen, Jiaying, Chengyong Du, Danni Chen, et al.. (2017). A miR-20a/MAPK1/c-Myc regulatory feedback loop regulates breast carcinogenesis and chemoresistance. Cell Death and Differentiation. 25(2). 406–420. 78 indexed citations
8.
Shen, Jiaying, Jie Pan, Chengyong Du, et al.. (2017). Silencing NKG2D ligand-targeting miRNAs enhances natural killer cell-mediated cytotoxicity in breast cancer. Cell Death and Disease. 8(4). e2740–e2740. 73 indexed citations
9.
Yao, Minya, Yun Hong, Yu Liu, Wei Chen, & Weilin Wang. (2017). N1-guanyl-1, 7-diaminoheptane enhances the sensitivity of pancreatic ductal adenocarcinoma cells to gemcitabine via the inhibition of eukaryotic translation initiation factor 5A2. Experimental and Therapeutic Medicine. 14(3). 2101–2107. 7 indexed citations
10.
Pan, Jie, Jiaying Shen, Chengyong Du, et al.. (2017). Resveratrol promotes MICA/B expression and natural killer cell lysis of breast cancer cells by suppressing c-Myc/miR-17 pathway. Oncotarget. 8(39). 65743–65758. 58 indexed citations
11.
Fu, Peifen, Feiya Du, Yu Liu, et al.. (2017). WP1130 increases cisplatin sensitivity through inhibition of usp9x in estrogen receptor-negative breast cancer cells.. PubMed. 9(4). 1783–1791. 30 indexed citations
12.
Wei, Haiyan, Peifen Fu, Minya Yao, Yaomin Chen, & Linlin Du. (2016). Breast cancer stem cells phenotype and plasma cell-predominant breast cancer independently indicate poor survival. Pathology - Research and Practice. 212(4). 294–301. 20 indexed citations
13.
Wei, Bajin, Minya Yao, Chunyang Xing, et al.. (2016). The neutrophil lymphocyte ratio is associated with breast cancer prognosis: an updated systematic review and meta-analysis. OncoTargets and Therapy. Volume 9. 5567–5575. 116 indexed citations
14.
15.
16.
Fu, Peifen, Minya Yao, Yu Liu, et al.. (2014). Prognostic value of preoperative inflammatory markers in Chinese patients with breast cancer. OncoTargets and Therapy. 7. 1743–1743. 75 indexed citations
17.
Fu, Peifen, Feiya Du, Minya Yao, Kezhen Lv, & Yu Liu. (2014). MicroRNA-185 inhibits proliferation by targeting c-Met in human breast cancer cells. Experimental and Therapeutic Medicine. 8(6). 1879–1883. 29 indexed citations
18.
Li, Yu, Feiya Du, Wei Chen, et al.. (2014). EIF5A2 is a novel chemoresistance gene in breast cancer. Breast Cancer. 22(6). 602–607. 27 indexed citations
19.
Liu, Yu, Feiya Du, Wei Chen, et al.. (2013). Knockdown of dual specificity phosphatase 4 enhances the chemosensitivity of MCF-7 and MCF-7/ADR breast cancer cells to doxorubicin. Experimental Cell Research. 319(20). 3140–3149. 33 indexed citations
20.
Wang, Weilin, Xiaofeng Tang, Minya Yao, et al.. (2008). Safety and efficiency of left hemihepatectomy combined with hepatic artery resection for hilar cholangiocarcinoma with artery infiltration: report of 2 cases.. PubMed. 51(4). 305–7. 3 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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