Fang-Xia Guan

416 total citations
10 papers, 305 citations indexed

About

Fang-Xia Guan is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Molecular Biology. According to data from OpenAlex, Fang-Xia Guan has authored 10 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Cardiology and Cardiovascular Medicine, 2 papers in Surgery and 2 papers in Molecular Biology. Recurrent topics in Fang-Xia Guan's work include Alzheimer's disease research and treatments (2 papers), Neurogenesis and neuroplasticity mechanisms (2 papers) and Pregnancy and preeclampsia studies (1 paper). Fang-Xia Guan is often cited by papers focused on Alzheimer's disease research and treatments (2 papers), Neurogenesis and neuroplasticity mechanisms (2 papers) and Pregnancy and preeclampsia studies (1 paper). Fang-Xia Guan collaborates with scholars based in China and Australia. Fang-Xia Guan's co-authors include Qu Xing, Bo Yang, Min Liu, Wei Cao, Ning Yao, Wei Qin, Greta Yang, Kun Zhang, Tuanjie Huang and Nan Huang and has published in prestigious journals such as PLoS ONE, Behavioural Brain Research and Critical Care.

In The Last Decade

Fang-Xia Guan

10 papers receiving 302 citations

Peers

Fang-Xia Guan

MB

SURGE

GENET

EPIDE

DN

Guifeng Zhao China

Ana Šepac Croatia

С. М. Минасян Russia

Ibrahim Mortada Lebanon

Farhana Akter China

Asrin Babahajian Iran

Giovanna Ramirez-Barbieri United States

Hong Ran China

Barbara Cavalieri Italy

Guifeng Zhao China

Fang-Xia Guan

183 ×2.1

MB

104 ×1.2

SURGE

48 ×0.8

GENET

51 ×0.9

EPIDE

9 ×0.2

DN

Citations per year, relative to Fang-Xia Guan Fang-Xia Guan (= 1×) peers Guifeng Zhao

Countries citing papers authored by Fang-Xia Guan

Since Specialization

Citations

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

Fields of papers citing papers by Fang-Xia Guan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fang-Xia Guan. 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 Fang-Xia Guan. The network helps show where Fang-Xia Guan may publish in the future.

Co-authorship network of co-authors of Fang-Xia Guan

This figure shows the co-authorship network connecting the top 25 collaborators of Fang-Xia Guan. A scholar is included among the top collaborators of Fang-Xia Guan 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 Fang-Xia Guan. Fang-Xia Guan 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:

10 of 10 papers shown

1.

Guan, Fang-Xia, et al.. (2017). Prenatal Exposure to LPS Alters The Intrarenal RAS in Offspring, Which Is Ameliorated by Adipose Tissue-Derived Mesenchymal Stem Cells. American Journal of Hypertension. 30(12). 1211–1219. 4 indexed citations

2.

Xing, Qu, et al.. (2017). Pharmacological activation of the Nrf2 pathway by 3H-1, 2-dithiole-3-thione is neuroprotective in a mouse model of Alzheimer disease. Behavioural Brain Research. 336. 219–226. 44 indexed citations

3.

Zhang, Kun, et al.. (2016). Constructing bio-layer of heparin and type IV collagen on titanium surface for improving its endothelialization and blood compatibility. Journal of Materials Science Materials in Medicine. 27(4). 81–81. 22 indexed citations

4.

Guan, Fang-Xia, et al.. (2016). The Effects of Intra-Aortic Balloon Pumps on Mortality in Patients Undergoing High-Risk Coronary Revascularization: A Meta-Analysis of Randomized Controlled Trials of Coronary Artery Bypass Grafting and Stenting Era. PLoS ONE. 11(1). e0147291–e0147291. 21 indexed citations

5.

Cao, Wei, Min Liu, Qu Xing, et al.. (2016). Human umbilical cord mesenchymal stem cells transplantation improves cognitive function in Alzheimer’s disease mice by decreasing oxidative stress and promoting hippocampal neurogenesis. Behavioural Brain Research. 320. 291–301. 119 indexed citations

6.

Guan, Fang-Xia, et al.. (2014). Biocompatibility of nano-hydroxyapatite/Mg-Zn-Ca alloy composite scaffolds to human umbilical cord mesenchymal stem cells from Wharton’s jelly in vitro. Science China Life Sciences. 57(2). 181–187. 7 indexed citations

7.

Guan, Fang-Xia, et al.. (2014). Effect of statin therapy on mortality from infection and sepsis: a meta-analysis of randomized and observational studies. Critical Care. 18(2). R71–R71. 66 indexed citations

8.

Yao, Rui, et al.. (2014). Serum total bilirubin and long-term outcome in patients undergoing percutaneous coronary intervention. Clinical and investigative medicine. 37(5). E345–E351. 3 indexed citations

9.

Hu, Wei, et al.. (2013). New methods for inducing the differentiation of amniotic-derived mesenchymal stem cells into motor neuron precursor cells. Tissue and Cell. 45(5). 295–305. 9 indexed citations

10.

Wu, Qiong, et al.. (2012). The predictive value of plasma cystatin C for acute coronary syndrome treated with percutaneous coronary intervention. Heart & Lung. 41(5). 456–462. 10 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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