J
Jun Xia
Researcher at Shenzhen University
Publications - 64
Citations - 2907
Jun Xia is an academic researcher from Shenzhen University. The author has contributed to research in topics: Medicine & Internal medicine. The author has an hindex of 12, co-authored 43 publications receiving 1537 citations. Previous affiliations of Jun Xia include Huazhong University of Science and Technology.
Papers
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Clinical characteristics and phase transition of chronic hepatitis B patients with HBeAg and anti-HBe coexistence
Ruifei Xue,Jian Wang,Jie Zhang,Zhiyi Zhang,Su-Yu Jiang,Jun Xia,Weimao Ding,Jie Liu,Rui Huang +8 more
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Susceptibility-weighted imaging is suitable for evaluating signal strength in different brain regions of a rabbit model of acute hemorrhagic anemia
TL;DR: Susceptibility-weighted imaging is a novel, non-invasive method for detecting changes in cerebral oxygen levels that may provide more detailed information regarding cerebral blood flow in patients with hemorrhage and in the present study, this technique was used to detect cerebral changes in an animal model of acute hemorrhagic anemia.
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Clinical features of chronic hepatitis B patients with lean nonalcoholic fatty liver disease
Jian Wang,Jiacheng Liu,Yilin Liu,Ruifei Xue,Jie Zhang,Su-Yu Jiang,Li Wang,Xiaomin Yan,Yali Xiong,Jun Xia,Shengxia Yin,Xin Tong,Yuxin Chen,Jie Liu,Rui Huang,Chao Wu +15 more
TL;DR: In this paper , the clinical features have been well described in obese chronic hepatitis B (CHB) patients with non-alcoholic fatty liver disease (NAFLD), but little is known about the clinical feature of lean CHB•NA FLD patients.
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Quantification of changes in white matter tract fibers in idiopathic normal pressure hydrocephalus based on diffusion spectrum imaging.
Xiaolin Yang,Hongbing Li,Wen-jie He,Minrui Lv,Hong Zhang,Xiang Zhao,Haihua Wei,Boyan Xu,Jiakuan Chen,Haiqin Ma,Jun Xia,Guang Yang +11 more
TL;DR: In this article , the authors quantitatively analyzed whether iNPH-tract abnormalities are confined to specific sections or involve entire fibers based on diffusion spectrum imaging (DSI) and found that most fiber abnormalities were confined to particular areas, and different parts of the same fasciculus showed diverse diffusion alterations in few cases.