Lin Mu

896 total citations
51 papers, 678 citations indexed

About

Lin Mu is a scholar working on Molecular Biology, Reproductive Medicine and Cancer Research. According to data from OpenAlex, Lin Mu has authored 51 papers receiving a total of 678 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 11 papers in Reproductive Medicine and 10 papers in Cancer Research. Recurrent topics in Lin Mu's work include Endometriosis Research and Treatment (10 papers), Cancer-related molecular mechanisms research (7 papers) and MicroRNA in disease regulation (6 papers). Lin Mu is often cited by papers focused on Endometriosis Research and Treatment (10 papers), Cancer-related molecular mechanisms research (7 papers) and MicroRNA in disease regulation (6 papers). Lin Mu collaborates with scholars based in China, United States and Maldives. Lin Mu's co-authors include Wei Zheng, Hongjian He, Jianhui Zhong, Yuhui Yuan, Suzhan Zhang, Tianjiao Wang, Giovanni Schifitto, Liang Wang, Jing Ding and Xiaoyan Ding and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and The American Journal of Sports Medicine.

In The Last Decade

Lin Mu

47 papers receiving 665 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lin Mu China	17	245	161	129	118	113	51	678
Yasunari Matsuzaka Japan	19	491 2.0×	47 0.3×	140 1.1×	23 0.2×	145 1.3×	58	862
Hao Yin Canada	21	572 2.3×	68 0.4×	223 1.7×	47 0.4×	96 0.8×	76	1.2k
R. Kudo Japan	15	289 1.2×	179 1.1×	124 1.0×	83 0.7×	62 0.5×	70	908
Xin Cheng China	19	207 0.8×	27 0.2×	62 0.5×	19 0.2×	114 1.0×	60	853
Yuxiu Huang China	12	133 0.5×	77 0.5×	53 0.4×	59 0.5×	76 0.7×	25	382
Xinhui Zhou China	20	498 2.0×	106 0.7×	198 1.5×	30 0.3×	210 1.9×	48	1.1k
Piotr Donizy Poland	18	427 1.7×	56 0.3×	157 1.2×	26 0.2×	187 1.7×	90	1.0k
Tao Meng China	17	376 1.5×	23 0.1×	308 2.4×	301 2.6×	169 1.5×	58	1.1k
Xiaoqing Zhu China	17	389 1.6×	27 0.2×	176 1.4×	10 0.1×	231 2.0×	54	757

Countries citing papers authored by Lin Mu

Since Specialization

Citations

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

Fields of papers citing papers by Lin Mu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lin Mu

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Chen, Zheng, et al.. (2024). Automated Detection and Characterization of Singularities in Functions Using Neural Networks-From FFT Signals. 21(5). 629–651.

Jiang, Mingshun, et al.. (2024). Data-Driven Method for Predicting Remaining Useful Life of Bearings Based on Multi-Layer Perception Neural Network and Bidirectional Long Short-Term Memory Network. Structural durability & health monitoring. 19(2). 365–383. 1 indexed citations

Mu, Lin, et al.. (2022). Abnormal Levels of Serum Ferroptosis-Related Biomarkers in Diabetic Retinopathy. Journal of Ophthalmology. 2022. 1–7. 18 indexed citations

Wang, Zhe, Lin Mu, Feng He, et al.. (2022). Expression patterns of platinum resistance-related genes in lung adenocarcinoma and related clinical value models. Frontiers in Genetics. 13. 993322–993322. 3 indexed citations

Lan, Lei, et al.. (2020). The influence of pollution accumulation on coating aging of UHV line insulators with different suspension height in coal-ash polluted area. Archives of Electrical Engineering. 39–56. 5 indexed citations

Lan, Lei, et al.. (2020). Study on dry band discharge of wet polluted surface with float potential metal by electro-thermal synchronous observation. IET Science Measurement & Technology. 14(9). 789–796. 1 indexed citations

Wang, Xun, Lin Mu, Yueyue Wang, et al.. (2020). Steroid receptor coactivator‐1 enhances the stemness of glioblastoma by activating long noncoding RNA XIST/miR‐152/KLF4 pathway. Cancer Science. 112(2). 604–618. 21 indexed citations

Wang, Junming, et al.. (2020). Application of BDS/GPS Fusion Relative Positioning in Slope Deformation Monitoring. 48. 340–344. 1 indexed citations

Ding, Jing, Xiaoyan Cheng, Shuang Liu, et al.. (2019). Apatinib exerts anti-tumour effects on ovarian cancer cells. Gynecologic Oncology. 153(1). 165–174. 23 indexed citations

10.

Gao, Ce, Di Zhao, Qing Zhao, et al.. (2019). Microarray profiling and co-expression network analysis of lncRNAs and mRNAs in ovarian cancer. Cell Death Discovery. 5(1). 93–93. 18 indexed citations

11.

Liu, Shuang, Lin Mu, Jing Ding, et al.. (2019). RRBP1 overexpression is associated with progression and prognosis in endometrial endometrioid adenocarcinoma. Diagnostic Pathology. 14(1). 7–7. 11 indexed citations

12.

Luo, Mao, Lin Mu, Yulin Luo, et al.. (2017). MiRNA-21 mediates the antiangiogenic activity of metformin through targeting PTEN and SMAD7 expression and PI3K/AKT pathway. Scientific Reports. 7(1). 43427–43427. 62 indexed citations

13.

Wang, Tianjiao, Peng Zhang, Yueyue Wang, et al.. (2017). Effect of arenobufagin on human pancreatic carcinoma cells. Oncology Letters. 14(4). 4971–4976. 12 indexed citations

14.

Mu, Lin, et al.. (2016). β-Elemene enhances the efficacy of gefitinib on glioblastoma multiforme cells through the inhibition of the EGFR signaling pathway. International Journal of Oncology. 49(4). 1427–1436. 44 indexed citations

15.

Wang, Tianjiao, Lin Mu, Haifeng Jin, et al.. (2015). The effects of bufadienolides on HER2 overexpressing breast cancer cells. Tumor Biology. 37(6). 7155–7163. 13 indexed citations

16.

Mu, Lin, Wei‐Min Chen, Yanyan Ma, & Wei Zheng. (2015). Expression of focal adhesion kinase in the eutopic endometrium of women with adenomyosis varies with dysmenorrhea and pelvic pain. Experimental and Therapeutic Medicine. 10(5). 1903–1907. 7 indexed citations

17.

Mu, Lin, et al.. (2009). Decreased expression of Beclin 1 in eutopic endometrium of women with adenomyosis. Archives of Gynecology and Obstetrics. 282(4). 401–406. 29 indexed citations

18.

Mu, Lin, Wei Zheng, Liang Wang, Xuejun Chen, & Jianhua Yang. (2008). Focal adhesion kinase expression in ovarian endometriosis. International Journal of Gynecology & Obstetrics. 101(2). 161–165. 9 indexed citations

19.

Wang, Liang, Wei Zheng, Lin Mu, & Suzhan Zhang. (2008). Identifying biomarkers of endometriosis using serum protein fingerprinting and artificial neural networks. International Journal of Gynecology & Obstetrics. 101(3). 253–258. 34 indexed citations

20.

Wang, Liang, Wei Zheng, Jiekai Yu, et al.. (2007). Artificial neural networks combined with surface-enhanced laser desorption/ionization mass spectra distinguish endometriosis from healthy population. Fertility and Sterility. 88(6). 1700–1702. 16 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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