Liu Qing‐Xiu

591 total citations
9 papers, 431 citations indexed

About

Liu Qing‐Xiu is a scholar working on Physiology, Neuropsychology and Physiological Psychology and Health. According to data from OpenAlex, Liu Qing‐Xiu has authored 9 papers receiving a total of 431 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Physiology, 3 papers in Neuropsychology and Physiological Psychology and 3 papers in Health. Recurrent topics in Liu Qing‐Xiu's work include Aging and Gerontology Research (3 papers), Health disparities and outcomes (3 papers) and Sodium Intake and Health (2 papers). Liu Qing‐Xiu is often cited by papers focused on Aging and Gerontology Research (3 papers), Health disparities and outcomes (3 papers) and Sodium Intake and Health (2 papers). Liu Qing‐Xiu collaborates with scholars based in China. Liu Qing‐Xiu's co-authors include Birong Dong, Jirong Yue, Xuemei Zeng, Zhenchan Lu, Yonghong Li, Huang Changquan, Zhengrong Wang, Hui Wang, Chaomin Wan and Xiaodong Peng and has published in prestigious journals such as Age and Ageing, American Journal of Geriatric Psychiatry and International Journal of Clinical Practice.

In The Last Decade

Liu Qing‐Xiu

9 papers receiving 419 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liu Qing‐Xiu China 7 174 103 96 68 57 9 431
Teiji Sakagami Japan 9 178 1.0× 115 1.1× 89 0.9× 43 0.6× 75 1.3× 12 452
Sandra Eifflaender‐Gorfer Germany 9 135 0.8× 107 1.0× 228 2.4× 44 0.6× 65 1.1× 10 456
Masayuki Ishine Japan 14 228 1.3× 147 1.4× 121 1.3× 101 1.5× 98 1.7× 30 674
Kristen Suthers United States 6 134 0.8× 57 0.6× 149 1.6× 96 1.4× 42 0.7× 7 530
Eeshwar K Chandrasekar United States 9 127 0.7× 67 0.7× 59 0.6× 49 0.7× 34 0.6× 14 454
Barbara Marquart Austria 6 104 0.6× 102 1.0× 207 2.2× 33 0.5× 90 1.6× 10 420
Floor Holvast Netherlands 9 124 0.7× 81 0.8× 68 0.7× 52 0.8× 87 1.5× 9 408
Lauren Brown United States 12 153 0.9× 101 1.0× 65 0.7× 81 1.2× 77 1.4× 28 532
A. G. S. Lôbo United Kingdom 2 177 1.0× 108 1.0× 115 1.2× 33 0.5× 80 1.4× 2 374
Birong Dong China 5 88 0.5× 60 0.6× 46 0.5× 71 1.0× 44 0.8× 9 420

Countries citing papers authored by Liu Qing‐Xiu

Since Specialization
Citations

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

Fields of papers citing papers by Liu Qing‐Xiu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liu Qing‐Xiu

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

All Works

9 of 9 papers shown
1.
Li, Yonghong, et al.. (2021). Ghrelin improves cognition via activation of the cAMP- CREB signalling pathway in depressed male C57BL/6J mice. International Journal of Neuroscience. 133(11). 1233–1241. 6 indexed citations
2.
Qing‐Xiu, Liu, et al.. (2014). The polymorphism of ARNTL2 (BMAL2) gene rs2306074 C>T is associated with susceptibility of Alzheimer disease in Chinese population. Neurological Sciences. 35(11). 1743–1747. 3 indexed citations
3.
Zhao, Dongqing, Huang Changquan, Yanling Zhang, Birong Dong, & Liu Qing‐Xiu. (2013). Cigarette smoking is associated with increased diastolic blood pressure among Chinese nonagenarians/centenarians. Blood Pressure. 23(3). 168–173. 9 indexed citations
4.
Li, Yonghong, Xiaodong Peng, Huang Changquan, Bo Yang, & Liu Qing‐Xiu. (2013). Hypothalamic-Pituitary-Thyroid Axis in Patients with Alzheimer Disease (AD). Journal of Investigative Medicine. 61(3). 578–581. 27 indexed citations
5.
Wang, Hui, et al.. (2011). The association of antihypertensive medication use with risk of cognitive decline and dementia: a meta-analysis of longitudinal studies. International Journal of Clinical Practice. 65(12). 1295–1305. 65 indexed citations
6.
Wang, Hui, et al.. (2011). Association of Serum Lipid/Lipoprotein with Pro12Ala Polymorphism in PPAR-γ2 Among Chinese Nonagenarians/Centenarians. Archives of Medical Research. 42(7). 613–619. 1 indexed citations
7.
Changquan, Huang, et al.. (2010). Education and Risk for Late Life Depression: A Meta-Analysis of Published Literature. The International Journal of Psychiatry in Medicine. 40(1). 109–124. 103 indexed citations
8.
Yue, Jirong, et al.. (2010). Cognitive Impairment and Depression Among Chinese Nonagenarians/Centenarians. American Journal of Geriatric Psychiatry. 18(4). 297–304. 11 indexed citations
9.
Zeng, Xuemei, et al.. (2009). Health status and risk for depression among the elderly: a meta-analysis of published literature. Age and Ageing. 39(1). 23–30. 206 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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