Shixin Chang

1.1k total citations
29 papers, 630 citations indexed

About

Shixin Chang is a scholar working on Orthopedics and Sports Medicine, Epidemiology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Shixin Chang has authored 29 papers receiving a total of 630 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Orthopedics and Sports Medicine, 8 papers in Epidemiology and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Shixin Chang's work include Bone and Joint Diseases (13 papers), Bone health and osteoporosis research (10 papers) and Advanced MRI Techniques and Applications (6 papers). Shixin Chang is often cited by papers focused on Bone and Joint Diseases (13 papers), Bone health and osteoporosis research (10 papers) and Advanced MRI Techniques and Applications (6 papers). Shixin Chang collaborates with scholars based in China, United States and South Korea. Shixin Chang's co-authors include Guanwu Li, Zheng Xu, Yanan Tian, Shi Xiao, Xuefeng Li, Wei Yuan, Tian Liu, Lei Zhou, Qianfeng Wang and Mengchao Pei and has published in prestigious journals such as PLoS ONE, Endocrinology and Magnetic Resonance in Medicine.

In The Last Decade

Shixin Chang

27 papers receiving 623 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shixin Chang China 15 279 188 147 81 72 29 630
Wichana Chamroonrat United States 14 90 0.3× 299 1.6× 86 0.6× 49 0.6× 184 2.6× 51 814
Giovanni Quarta United Kingdom 18 234 0.8× 634 3.4× 170 1.2× 126 1.6× 223 3.1× 27 2.2k
Isabelle C. Van Gelder Netherlands 26 159 0.6× 142 0.8× 472 3.2× 73 0.9× 155 2.2× 68 3.0k
Samuel P. Yap United States 8 706 2.5× 235 1.3× 243 1.7× 124 1.5× 216 3.0× 9 1.1k
Luís R. Lopes United Kingdom 26 55 0.2× 186 1.0× 606 4.1× 251 3.1× 163 2.3× 134 1.9k
Myung‐Hoon Han South Korea 14 46 0.2× 81 0.4× 72 0.5× 84 1.0× 157 2.2× 54 634
Kensuke Nishimiya Japan 17 52 0.2× 334 1.8× 81 0.6× 50 0.6× 325 4.5× 48 840
R. D. Gunasekera United Kingdom 14 25 0.1× 243 1.3× 55 0.4× 52 0.6× 142 2.0× 24 728
Azim Çelik United States 16 85 0.3× 598 3.2× 47 0.3× 573 7.1× 223 3.1× 27 1.2k
Mateen Moghbel United States 15 18 0.1× 271 1.4× 52 0.4× 51 0.6× 63 0.9× 27 573

Countries citing papers authored by Shixin Chang

Since Specialization
Citations

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

Fields of papers citing papers by Shixin Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shixin Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Shixin Chang. A scholar is included among the top collaborators of Shixin Chang 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 Shixin Chang. Shixin Chang 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.
Zhang, Zhengxiang, Hui Xu, Lei Chen, et al.. (2025). Explainable CT-based deep learning model for predicting hematoma expansion including intraventricular hemorrhage growth. iScience. 28(7). 112888–112888.
2.
Shi, Dan, et al.. (2025). Association of the Chinese visceral adiposity index with marrow adiposity in postmenopausal females. Frontiers in Endocrinology. 16. 1542516–1542516.
3.
Li, Xuefeng, Lu Li, Ying Wang, et al.. (2024). Vertebral marrow fat fraction is associated with circulating RANKL in postmenopausal females. Frontiers in Endocrinology. 15. 1442046–1442046. 2 indexed citations
4.
Chen, Lei, et al.. (2023). CT-based deep learning model for predicting hospital discharge outcome in spontaneous intracerebral hemorrhage. European Radiology. 34(7). 4417–4426. 17 indexed citations
5.
Li, Guanwu, et al.. (2022). Comparison of Sensory Observation and Somatosensory Stimulation in Mirror Neurons and the Sensorimotor Network: A Task-Based fMRI Study. Frontiers in Neurology. 13. 916990–916990. 8 indexed citations
6.
7.
Li, Guanwu, et al.. (2018). Association between insulin resistance and the magnetic resonance spectroscopy-determined marrow fat fraction in nondiabetic postmenopausal women. Menopause The Journal of The North American Menopause Society. 25(6). 676–682. 7 indexed citations
8.
Li, Guanwu, Zheng Xu, Shixin Chang, et al.. (2017). Magnetic Resonance Spectroscopy-Detected Change in Marrow Adiposity Is Strongly Correlated to Postmenopausal Breast Cancer Risk. Clinical Breast Cancer. 17(3). 239–244. 17 indexed citations
9.
Li, Guanwu, Zheng Xu, Wei Yuan, et al.. (2016). Short- and midterm reproducibility of marrow fat measurements using mDixon imaging in healthy postmenopausal women. Skeletal Radiology. 45(10). 1385–1390. 4 indexed citations
10.
Chang, Shixin, Jingwei Zhang, Tian Liu, et al.. (2015). Quantitative Susceptibility Mapping of Intracerebral Hemorrhages at Various Stages. Journal of Magnetic Resonance Imaging. 44(2). 420–425. 35 indexed citations
11.
Wang, Yi, et al.. (2015). Panax notoginseng saponins mitigate ovariectomy-induced bone loss and inhibit marrow adiposity in rats. Menopause The Journal of The North American Menopause Society. 22(12). 1343–1350. 21 indexed citations
12.
Li, Guanwu, et al.. (2014). Icariin prevents ovariectomy-induced bone loss and lowers marrow adipogenesis. Menopause The Journal of The North American Menopause Society. 21(9). 1007–1016. 45 indexed citations
13.
Li, Guanwu, Zheng Xu, Shixin Chang, et al.. (2014). Influence of Early Zoledronic Acid Administration on Bone Marrow Fat in Ovariectomized Rats. Endocrinology. 155(12). 4731–4738. 35 indexed citations
14.
Li, Jianqi, Shixin Chang, Tian Liu, et al.. (2014). Phase-corrected bipolar gradients in multi-echo gradient-echo sequences for quantitative susceptibility mapping. Magnetic Resonance Materials in Physics Biology and Medicine. 28(4). 347–355. 22 indexed citations
15.
Li, Guanwu, et al.. (2013). The temporal characterization of marrow lipids and adipocytes in a rabbit model of glucocorticoid-induced osteoporosis. Skeletal Radiology. 42(9). 1235–1244. 40 indexed citations
16.
17.
Chang, Shixin, Guanwu Li, Yao Chen, et al.. (2013). Characterizing Venous Vasculatures of Hepatocellular Carcinoma Using a Multi-Breath-Hold Two-Dimensional Susceptibility Weighted Imaging. PLoS ONE. 8(6). e65895–e65895. 10 indexed citations
18.
Li, Guanwu, Shixin Chang, Zheng Xu, et al.. (2012). Prediction of hip osteoporotic fractures from composite indices of femoral neck strength. Skeletal Radiology. 42(2). 195–201. 30 indexed citations
19.
Li, Jianqi, Shixin Chang, Tian Liu, et al.. (2012). Reducing the object orientation dependence of susceptibility effects in gradient echo MRI through quantitative susceptibility mapping. Magnetic Resonance in Medicine. 68(5). 1563–1569. 92 indexed citations
20.

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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