Mianmian Yin

1.1k total citations
10 papers, 898 citations indexed

About

Mianmian Yin is a scholar working on Cancer Research, Molecular Biology and Immunology. According to data from OpenAlex, Mianmian Yin has authored 10 papers receiving a total of 898 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cancer Research, 4 papers in Molecular Biology and 4 papers in Immunology. Recurrent topics in Mianmian Yin's work include MicroRNA in disease regulation (6 papers), Reproductive System and Pregnancy (3 papers) and Circular RNAs in diseases (2 papers). Mianmian Yin is often cited by papers focused on MicroRNA in disease regulation (6 papers), Reproductive System and Pregnancy (3 papers) and Circular RNAs in diseases (2 papers). Mianmian Yin collaborates with scholars based in China, France and United States. Mianmian Yin's co-authors include Fei Sun, Guidong Yao, Jie Lian, Hui Tian, Meng Liang, Lin Liu, Xin Li, Lin Liu, Yingpu Sun and Xiaorong Wang and has published in prestigious journals such as Cell, Journal of Biological Chemistry and Oncogene.

In The Last Decade

Mianmian Yin

8 papers receiving 894 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mianmian Yin China 8 619 527 194 189 110 10 898
Swamy K. Tripurani United States 16 448 0.7× 219 0.4× 158 0.8× 260 1.4× 160 1.5× 22 743
Jiying Liu China 8 325 0.5× 290 0.6× 113 0.6× 112 0.6× 32 0.3× 21 477
Skye C McIver United States 9 300 0.5× 148 0.3× 71 0.4× 184 1.0× 212 1.9× 10 548
Yitzhak Reizel Israel 14 477 0.8× 103 0.2× 62 0.3× 150 0.8× 74 0.7× 21 665
Juan Hua China 13 245 0.4× 119 0.2× 71 0.4× 131 0.7× 125 1.1× 27 504
Petra Klemmt Germany 11 267 0.4× 105 0.2× 385 2.0× 73 0.4× 455 4.1× 15 870
Sonya Kamdar United States 10 339 0.5× 59 0.1× 210 1.1× 199 1.1× 66 0.6× 15 646
Bela Patel United States 15 484 0.8× 68 0.1× 33 0.2× 300 1.6× 74 0.7× 24 681
Zheng‐Bin Han China 11 288 0.5× 71 0.1× 37 0.2× 321 1.7× 170 1.5× 15 547
Bing Sun China 14 311 0.5× 103 0.2× 184 0.9× 20 0.1× 120 1.1× 51 639

Countries citing papers authored by Mianmian Yin

Since Specialization
Citations

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

Fields of papers citing papers by Mianmian Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mianmian Yin

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

All Works

10 of 10 papers shown
1.
Liu, Ye, Xixi Wang, Xin Wang, et al.. (2025). Acoustic prosodic parameters associated with Parkinson's disease cognitive impairment. Parkinsonism & Related Disorders. 132. 107306–107306.
3.
Tubbs, Anthony, Sriram Sridharan, Niek van Wietmarschen, et al.. (2018). Dual Roles of Poly(dA:dT) Tracts in Replication Initiation and Fork Collapse. Cell. 174(5). 1127–1142.e19. 143 indexed citations
4.
Ding, Keshuo, Guofeng Zhang, Mianmian Yin, et al.. (2015). MicroRNA-320a sensitizes tamoxifen-resistant breast cancer cells to tamoxifen by targeting ARPP-19 and ERRγ*. Scientific Reports. 5(1). 8735–8735. 75 indexed citations
5.
Yin, Mianmian, Xiaorong Wang, Guidong Yao, et al.. (2014). Transactivation of MicroRNA-320 by MicroRNA-383 Regulates Granulosa Cell Functions by Targeting E2F1 and SF-1 Proteins. Journal of Biological Chemistry. 289(26). 18239–18257. 114 indexed citations
6.
Yin, Mianmian, Xiangjuan Ren, Yongde Luo, et al.. (2014). Selective killing of lung cancer cells by miRNA-506 molecule through inhibiting NF-κB p65 to evoke reactive oxygen species generation and p53 activation. Oncogene. 34(6). 691–703. 89 indexed citations
7.
Tian, Hui, Wei‐Ping Liao, Jie Lian, et al.. (2013). The targeting and functions of miRNA-383 are mediated by FMRP during spermatogenesis. Cell Death and Disease. 4(5). e617–e617. 50 indexed citations
8.
Liang, Meng, Guidong Yao, Mianmian Yin, et al.. (2013). Transcriptional cooperation between p53 and NF-κB p65 regulates microRNA-224 transcription in mouse ovarian granulosa cells. Molecular and Cellular Endocrinology. 370(1-2). 119–129. 70 indexed citations
9.
Yin, Mianmian, Guidong Yao, Hui Tian, et al.. (2012). Transactivation of microRNA-383 by Steroidogenic Factor-1 Promotes Estradiol Release from Mouse Ovarian Granulosa Cells by Targeting RBMS1. Molecular Endocrinology. 26(7). 1129–1143. 117 indexed citations
10.
Yao, Guidong, Mianmian Yin, Jie Lian, et al.. (2010). MicroRNA-224 Is Involved in Transforming Growth Factor-β-Mediated Mouse Granulosa Cell Proliferation and Granulosa Cell Function by Targeting Smad4. Molecular Endocrinology. 24(3). 540–551. 240 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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