Ruxi Liu
China Medical University (PRC)
7 Papers
7 Citations
Ruxi Liu is an academic researcher from China Medical University (PRC). The author has contributed to research in topics: Bibliometrics & Cohort study. The author has an hindex of 3, co-authored 7 publications.
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Papers
Association between biomass fuel use and risk of hypertension among Chinese older people: A cohort study.
TL;DR: The use of biomass fuel for cooking was associated with greater hypertension risk, and the risk may be higher among those who switched from clean fuels to biomass fuels in the Chinese elderly population.
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Cooking with biomass fuels increased the risk for cognitive impairment and cognitive decline among the oldest-old Chinese adults (2011-2018): A prospective cohort study.
TL;DR: Wang et al. as discussed by the authors explored the relationship between cooking with biomass fuel and cognitive impairment and cognitive decline using a Cox proportional hazards model and further assessed the correlation of biomass fuels and cognitive score using a generalized estimating equation.
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Predictions of the dysregulated competing endogenous RNA signature involved in the progression of human lung adenocarcinoma.
TL;DR: The lncRNA-miRNA-mRNA ceRNA network plays an essential role in predicting the progression of LUAD and suggested that LUAD patients who had the high-risk score always suffered from a poorer overall survival.
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E-Index—A Bibliometric Index of Research Efficiency
Bo Wu,Fengrong Ou,Yan Deng,Ruxi Liu,Hui Hua,Rentong Chen,Yuyuan Guan,Dan Yang,Lars Gjesteby,Jiansheng Yang,Michael W. Vannier,Ge Wang,Yang Liu +12 more
TL;DR: The proposed inline-formula-index incorporates both IF-citation-based output and “total equivalent time” that the principal investigator’s team takes to deliver the output so that the bibliometric output can be normalized by the involved research time.
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Identification of hub genes and therapeutic drugs in rheumatoid arthritis patients
TL;DR: Zhang et al. as mentioned in this paper used gene expression profiles obtained from Gene Expression Omnibus (GEO) to identify differentially expressed genes (DEGs) in control and RA samples using GEO2R, followed by other bioinformatics methods, including functional enrichment analysis, protein-protein interaction (PPI) networks, miRNA-hub gene network, and drug hub gene interactions.
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