Beibei Mao

788 total citations
26 papers, 560 citations indexed

About

Beibei Mao is a scholar working on Molecular Biology, Cancer Research and Cell Biology. According to data from OpenAlex, Beibei Mao has authored 26 papers receiving a total of 560 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 7 papers in Cancer Research and 6 papers in Cell Biology. Recurrent topics in Beibei Mao's work include RNA modifications and cancer (5 papers), Hippo pathway signaling and YAP/TAZ (5 papers) and Circular RNAs in diseases (4 papers). Beibei Mao is often cited by papers focused on RNA modifications and cancer (5 papers), Hippo pathway signaling and YAP/TAZ (5 papers) and Circular RNAs in diseases (4 papers). Beibei Mao collaborates with scholars based in China, United States and Russia. Beibei Mao's co-authors include Zengqiang Yuan, Yuhao Gao, Yujie Bai, Wenzhi Bi, Guangju Ji, Junbing Wu, Qi Xie, Wufan Tao, Yan Wang and Fang Yuan and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

Beibei Mao

23 papers receiving 554 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Beibei Mao China 13 349 203 100 69 68 26 560
Yongli Dong China 11 319 0.9× 224 1.1× 64 0.6× 75 1.1× 111 1.6× 19 550
Vittoria Zinzalla Italy 9 651 1.9× 114 0.6× 54 0.5× 57 0.8× 87 1.3× 12 737
Qin Yu United States 13 393 1.1× 130 0.6× 145 1.4× 145 2.1× 69 1.0× 21 665
Chih‐Sheng Yang United States 11 524 1.5× 235 1.2× 90 0.9× 75 1.1× 35 0.5× 14 647
Brian Frederick United States 8 321 0.9× 121 0.6× 65 0.7× 26 0.4× 62 0.9× 10 474
Rachel S. Salamon United States 9 317 0.9× 69 0.3× 42 0.4× 69 1.0× 66 1.0× 10 436
Raquela J. Thomas United States 8 479 1.4× 70 0.3× 83 0.8× 83 1.2× 72 1.1× 10 595
Bruno D. Fonseca Canada 8 477 1.4× 92 0.5× 49 0.5× 74 1.1× 59 0.9× 8 600
Sang‐Min Jang South Korea 16 507 1.5× 69 0.3× 106 1.1× 126 1.8× 38 0.6× 44 634
Eun Jeong Kwon South Korea 7 371 1.1× 134 0.7× 121 1.2× 115 1.7× 38 0.6× 9 538

Countries citing papers authored by Beibei Mao

Since Specialization
Citations

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

Fields of papers citing papers by Beibei Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Beibei Mao

This figure shows the co-authorship network connecting the top 25 collaborators of Beibei Mao. A scholar is included among the top collaborators of Beibei Mao 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 Beibei Mao. Beibei Mao 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.
2.
3.
Mao, Beibei, et al.. (2024). Multi-Frequency Noise Reduction Method for Underwater Radiated Noise of Autonomous Underwater Vehicles. Journal of Marine Science and Engineering. 12(5). 705–705. 1 indexed citations
4.
Wang, Zhenghang, Xue Zheng, Xicheng Wang, et al.. (2021). Genetic differences between lung metastases and liver metastases from left-sided microsatellite stable colorectal cancer: next generation sequencing and clinical implications. Annals of Translational Medicine. 9(12). 967–967. 9 indexed citations
5.
Zhang, Dainan, Shunchang Ma, Chuanbao Zhang, et al.. (2021). MicroRNA-935 Directly Targets FZD6 to Inhibit the Proliferation of Human Glioblastoma and Correlate to Glioma Malignancy and Prognosis. Frontiers in Oncology. 11. 566492–566492. 13 indexed citations
6.
Wang, Yangyang, Wenjianlong Zhou, Shunchang Ma, et al.. (2021). Identification of a Glycolysis-Related LncRNA Signature to Predict Survival in Diffuse Glioma Patients. Frontiers in Oncology. 10. 597877–597877. 15 indexed citations
7.
Chen, Gang, et al.. (2020). Comparative molecular profiling of distant metastatic and non-distant metastatic lung adenocarcinoma.. Neoplasma. 68(2). 253–261. 1 indexed citations
8.
Dai, Bin, Zhiyong Xiao, Beibei Mao, et al.. (2020). <p>WD Repeat Domain 5 Promotes Invasion, Metastasis and Tumor Growth in Glioma Through Up-Regulated Zinc Finger E-Box Binding Homeobox 1 Expression</p>. Cancer Management and Research. Volume 12. 3223–3235. 5 indexed citations
9.
Kang, Zhuang, Junting Zhang, Nina Xue, et al.. (2019). KLF7 promotes polyamine biosynthesis and glioma development through transcriptionally activating ASL. Biochemical and Biophysical Research Communications. 514(1). 51–57. 32 indexed citations
10.
Kang, Zhuang, Liang Wang, Ke Wang, et al.. (2019). Retinol dehydrogenase 10 promotes metastasis of glioma cells via the transforming growth factor-β/SMAD signaling pathway. Chinese Medical Journal. 132(20). 2430–2437. 8 indexed citations
11.
Qu, Fei, Beibei Mao, Fangfang Xue, et al.. (2018). Photoinduced electron transfer from polymer-templated Ag nanoclusters to G-quadruplex-hemin complexes for the construction of versatile biosensors and logic gate applications. Analytical and Bioanalytical Chemistry. 410(8). 2211–2219. 7 indexed citations
12.
Wang, Ting, Beibei Mao, Junling Gao, et al.. (2018). YAP promotes breast cancer metastasis by repressing growth differentiation factor-15. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1864(5). 1744–1753. 54 indexed citations
13.
Mao, Beibei, et al.. (2017). Design, synthesis, and biological evaluation of imidazo[1,2- b ]pyridazine derivatives as mTOR inhibitors. European Journal of Medicinal Chemistry. 129. 135–150. 28 indexed citations
14.
Wang, Dong‐Yu, Yanan Wu, Junqi Huang, et al.. (2016). Hippo/YAP signaling pathway is involved in osteosarcoma chemoresistance. Chinese Journal of Cancer. 35(1). 47–47. 51 indexed citations
15.
Mao, Beibei, Jinbo Cheng, Yuhao Gao, et al.. (2015). YAP Enhances Autophagic Flux to Promote Breast Cancer Cell Survival in Response to Nutrient Deprivation. PLoS ONE. 10(3). e0120790–e0120790. 50 indexed citations
16.
Mao, Beibei, Yuhao Gao, Yujie Bai, & Zengqiang Yuan. (2014). Hippo signaling in stress response and homeostasis maintenance. Acta Biochimica et Biophysica Sinica. 47(1). 2–9. 42 indexed citations
17.
Zhou, Junzhi, Beibei Mao, Qi Zhou, et al.. (2013). Endoplasmic reticulum stress activates telomerase. Aging Cell. 13(1). 197–200. 30 indexed citations
18.
Jiang, Cheng‐Ying, Fangke Hu, Yanhong Tai, et al.. (2012). The tumor suppressor role of Src homology phosphotyrosine phosphatase 2 in hepatocellular carcinoma. Journal of Cancer Research and Clinical Oncology. 138(4). 637–646. 43 indexed citations
19.
Yuan, Fang, Qi Xie, Junbing Wu, et al.. (2011). MST1 Promotes Apoptosis through Regulating Sirt1-dependent p53 Deacetylation. Journal of Biological Chemistry. 286(9). 6940–6945. 81 indexed citations
20.
Mao, Beibei, Zhihong Zhang, Zhongli Hu, et al.. (2003). Characterization of QTLs for harvest index and source-sink characters in a DH population of rice (Oryza sativa L.).. PubMed. 30(12). 1118–26. 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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