Yu Liu

9.3k total citations
219 papers, 5.7k citations indexed

About

Yu Liu is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Yu Liu has authored 219 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 113 papers in Molecular Biology, 70 papers in Oncology and 49 papers in Cancer Research. Recurrent topics in Yu Liu's work include MicroRNA in disease regulation (20 papers), Cancer-related molecular mechanisms research (20 papers) and Circular RNAs in diseases (13 papers). Yu Liu is often cited by papers focused on MicroRNA in disease regulation (20 papers), Cancer-related molecular mechanisms research (20 papers) and Circular RNAs in diseases (13 papers). Yu Liu collaborates with scholars based in China, United States and Hong Kong. Yu Liu's co-authors include Michael A. Bolognese, Paul D. Miller, E. Michael Lewiecki, Michael R. McClung, James H. Hurley, Arnold E. Ruoho, V. Rao, Matthew Austin, Javier San Martín and Beiying Ding and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nucleic Acids Research.

In The Last Decade

Yu Liu

212 papers receiving 5.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu Liu China 41 3.2k 1.7k 948 567 557 219 5.7k
Robert Morris United States 42 2.2k 0.7× 1.2k 0.7× 719 0.8× 577 1.0× 443 0.8× 195 6.0k
Jeanette M. Wood Switzerland 45 3.7k 1.2× 2.0k 1.2× 846 0.9× 372 0.7× 321 0.6× 103 7.5k
Hironori Nakagami Japan 50 3.6k 1.1× 973 0.6× 873 0.9× 303 0.5× 1.1k 2.0× 228 8.6k
Zhiyuan Zhang China 34 2.6k 0.8× 1.3k 0.8× 1.3k 1.4× 169 0.3× 409 0.7× 188 5.1k
Jason Chen United States 32 1.5k 0.5× 746 0.4× 456 0.5× 358 0.6× 270 0.5× 130 4.5k
Johannes Grillari Austria 45 4.6k 1.4× 553 0.3× 2.0k 2.1× 317 0.6× 640 1.1× 215 7.3k
Mo Chen China 41 4.9k 1.5× 958 0.6× 1.6k 1.7× 121 0.2× 509 0.9× 180 7.5k
Dae Young Jung United States 42 4.0k 1.3× 769 0.4× 538 0.6× 843 1.5× 611 1.1× 108 8.2k
Mi‐Hye Lee South Korea 42 3.6k 1.1× 1.5k 0.9× 577 0.6× 125 0.2× 286 0.5× 131 6.1k
Junfeng Zhang China 47 3.2k 1.0× 737 0.4× 1.8k 1.9× 104 0.2× 911 1.6× 119 6.5k

Countries citing papers authored by Yu Liu

Since Specialization
Citations

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

Fields of papers citing papers by Yu Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Liu. A scholar is included among the top collaborators of Yu Liu 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 Yu Liu. Yu Liu 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.
Liu, Yu, Xuan Li, Xiaoyue Li, et al.. (2024). Platelet-derived Growth Factor Receptor-α Induces Contraction Knots and Inflammatory Pain–like Behavior in a Rat Model of Myofascial Trigger Points. Anesthesiology. 141(5). 929–945. 3 indexed citations
3.
Li, Meng, et al.. (2024). PHD2 safeguards modest mesendoderm development. Communications Biology. 7(1). 1100–1100.
4.
5.
Wang, Shennan, et al.. (2023). SOX2 Promotes Radioresistance in Non-small Cell Lung Cancer by Regulating Tumor Cells Dedifferentiation. International Journal of Medical Sciences. 20(6). 781–796. 9 indexed citations
6.
Liu, Renbin, et al.. (2022). Development and Validation of a New Multiparametric Random Survival Forest Predictive Model for Breast Cancer Recurrence with a Potential Benefit to Individual Outcomes. SHILAP Revista de lepidopterología. 7 indexed citations
7.
Stewart, C. Allison, M. Stewart, Ying Wang, et al.. (2022). Chronic Estrus Disrupts Uterine Gland Development and Homeostasis. Endocrinology. 163(3). 3 indexed citations
8.
Luo, Yuanming, Huiqing Ge, Huiguo Liu, et al.. (2022). Superior Predictive Value of D-Dimer to the Padua Prediction Score for Venous Thromboembolism in Inpatients with AECOPD: A Multicenter Cohort Study. International Journal of COPD. Volume 17. 2711–2722. 1 indexed citations
9.
Yu, Yang, et al.. (2021). Prediction of clinical prognosis in cutaneous melanoma using an immune-related gene pair signature. Bioengineered. 12(1). 1803–1812. 5 indexed citations
10.
Reesor-Oyer, Layton, Rosenda Murillo, Emily C. LaVoy, et al.. (2021). Evaluation of the Role of Leisure Time Physical Activity and Sedentary Behavior Simultaneously on the Income-Overweight/Obesity Relationship. International Journal of Environmental Research and Public Health. 18(6). 3127–3127. 6 indexed citations
11.
Liu, Yu, Jingxuan Fu, Chengeng Liu, et al.. (2020). Preliminary study on the function of the POLD1 (CDC2) EXON2 c.56G>A mutation. Molecular Genetics & Genomic Medicine. 8(8). e1280–e1280. 4 indexed citations
12.
Xu, Feng, Meng Li, Shen Wu, et al.. (2020). miR-322/-503 rescues myoblast defects in myotonic dystrophy type 1 cell model by targeting CUG repeats. Cell Death and Disease. 11(10). 891–891. 14 indexed citations
13.
Yang, Jiao, Xiaoman Zhang, Zheling Chen, et al.. (2019). Angiomotin-p130 inhibits β-catenin stability by competing with Axin for binding to tankyrase in breast cancer. Cell Death and Disease. 10(3). 179–179. 14 indexed citations
14.
Liu, Yu, Samuel I. Bloom, & Anthony J. Donato. (2018). The role of senescence, telomere dysfunction and shelterin in vascular aging. Microcirculation. 26(2). e12487–e12487. 54 indexed citations
15.
Mao, Xiaona, Pingping Li, Yaochun Wang, et al.. (2017). CRB3 regulates contact inhibition by activating the Hippo pathway in mammary epithelial cells. Cell Death and Disease. 8(1). e2546–e2546. 36 indexed citations
16.
He, Shuwen, Yu Liu, Yalong Wang, et al.. (2017). SKAP2 regulates Arp2/3 complex for actin-mediated asymmetric cytokinesis by interacting with WAVE2 in mouse oocytes. Cell Cycle. 16(23). 2272–2281. 8 indexed citations
17.
Song, Tingting, Dan Li, Shaoping Huang, et al.. (2016). [Effects of cyclooxygenase-2 selective inhibitor celecoxib on the expression of major vault protein in rats with status epilepticus].. PubMed. 18(5). 440–5. 3 indexed citations
18.
Liu, Xiaoguang, Yu Liu, Linlin Zhao, et al.. (2016). Macrophage depletion impairs skeletal muscle regeneration: The roles of regulatory factors for muscle regeneration. Cell Biology International. 41(3). 228–238. 55 indexed citations
19.
Zhang, Xiaoying, et al.. (2013). Role of Wnt/β-catenin signaling pathway in proliferation of neural stem cells of neonatal rats in vitro after hyperbaric oxygen therapy. Zhonghua shiyong erke linchuang zazhi. 28(12). 912–916. 1 indexed citations
20.
Tao, Yanmei, Penggao Dai, Yu Liu, et al.. (2009). Erbin regulates NRG1 signaling and myelination. Proceedings of the National Academy of Sciences. 106(23). 9477–9482. 62 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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