1. Jiang P#, Chen Z#, Hippe DS, Watase H, Sun B, Lin R, Yang Z, Xue Y*, Zhao X*, Yuan C. Association Between Carotid Bifurcation Geometry and Atherosclerotic Plaque Vulnerability: A Chinese Atherosclerosis Risk Evaluation Study. Arterioscler Thromb Vasc Biol. 2020 Mar 12. [Epub ahead of print] (Impact factor: 6.086)

2. Li J#, Li D#, Yang D, Huo R, Chen X, Xu Y, Dai W, Zhou D, Zhao X*. Co-existing cerebrovascular atherosclerosis predicts subsequent vascular event: a multi-contrast cardiovascular magnetic resonance imaging study. J Cardiovasc Magn Reson. 2020 Jan 13;22(1):4. (Impact factor: 5.457)

3. Han Y#, Zhu Z#, Guan M, Yang D, Wang W, Li C, Chen H, Zhao X*. Diabetes-specific characteristics of atherosclerotic plaques in femoral arteries determined by three-dimensional magnetic resonance vessel wall imaging. Diabetes Metab Res Rev. 2020 Jan;36(1):e3201. (Impact factor: 4.758)

4. Liu Y#, Wang M#, Zhang B*, Wang W, Xu Y, Han Y, Yuan C, Zhao X*. Size of carotid artery intraplaque hemorrhage and acute ischemic stroke: a cardiovascular magnetic resonance Chinese atherosclerosis risk evaluation study. J Cardiovasc Magn Reson. 2019 Jul 1;21(1):36. (Impact factor: 5.457)

5. Gao X, Song J, Watase H, Hippe DS, Zhao X*, Canton G, Tian F, Du R, Ji S*, Yuan C; CARE-II Investigators. Differences in Carotid Plaques Between Symptomatic Patients with and Without Diabetes Mellitus. Arterioscler Thromb Vasc Biol. 2019 Jun;39(6):1234-1239. (Impact factor: 6.086)

6. Han H#, Zhang R#, Liu G*, Qiao H, Chen Z, Liu Y, Chen X, Li D, Wang Y, Zhao X*. Reduction of cerebral blood flow in community-based adults with subclinical cerebrovascular atherosclerosis: A 3.0T magnetic resonance imaging study. Neuroimage. 2019 Mar;188:302-308. (Impact factor: 5.426)

7. Li D, Dai W, Cai Y, Han Y, Yao G, Chen H, Yuan C, Zhao X*. Atherosclerosis in Stroke-related Vascular Beds and Stroke Risk: A 3D MR Vessel Wall Imaging Study. Ann Clin Transl Neurol. 2018 Oct 22;5(12):1599-1610. (Impact factor: 4.649)

8. Zhou C, Yuan C, Li R, Wang W, Li C, Zhao X*, on behalf of the CARE-II study collaborators. Association between Incomplete Circle of Willis and Carotid Vulnerable Atherosclerotic Plaques: A Chinese Atherosclerosis Risk Evaluation Study. Arterioscler Thromb Vasc Biol. 2018 Nov;38(11):2744-2749. (Impact factor: 6.086)

9. Han Y, Guan M, Zhu Z, Li D, Chen H, Yuan C, Li C, Wang W, Zhao X*. Assessment of longitudinal distribution of subclinical atherosclerosis in femoral arteries by three-dimensional cardiovascular magnetic resonance vessel wall imaging. J Cardiovasc Magn Reson. 2018 Sep 3;20(1):60. (Impact factor: 5.457)

10. Xu Y, Li D, Yuan C, Zhou Z, He L, Li R, Cui Y, Li Q, Zheng Z, Zhao X*. Association of severity between carotid and intracranial artery atherosclerosis. Ann Clin Transl Neurol. 2018 Jun 4;5(7):843-849. (Impact factor: 4.649)

11. Li D, Zhao H, Chen X, Chen S, Qiao H, He L, Li R, Xu J, Yuan C, Zhao X*. Identification of intraplaque haemorrhage in carotid artery by simultaneous non-contrast angiography and intraPlaque haemorrhage (SNAP) imaging: a magnetic resonance vessel wall imaging study. Eur Radiol. 2018 Apr;28(4):1681-1686. (Impact factor: 4.027)

12. Chen Z, Zhao X*, Zhang X, Guo R, Teeuwisse WM, Zhang B, Koken P, Smink J, Yuan C, van Osch MJP. Simultaneous measurement of brain perfusion and labeling efficiency in a single pseudo-continuous arterial spin labeling scan. Magn Reson Med. 2018 Apr;79(4):1922-1930. (Impact factor: 4.082)

13. Lu M, Peng P, Cui Y, Qiao H, Li D, Cai J*, Zhao X*. Association of Progression of Carotid Artery Wall Volume and Recurrent Transient Ischemic Attack or Stroke: A Magnetic Resonance Imaging Study. Stroke. 2018 Mar;49(3):614-620. (Impact factor: 6.239)

14. Zhao X, Hippe DS, Li R, Canton GM, Sui B, Song Y, Li F, Xue Y, Sun J, Yamada K, Hatsukami TS, Xu D, Wang M, Yuan C*, CARE‐II Study Collaborators. Prevalence and Characteristics of Carotid Artery High-Risk Atherosclerotic Plaques in Chinese Patients with Cerebrovascular Symptoms: A Chinese Atherosclerosis Risk Evaluation II Study. J Am Heart Assoc. 2017 Aug 14;6(8). pii: e005831. (Impact factor: 4.450)

15. Lin R, Chen S, Liu G, Xue Y*, Zhao X*. Association Between Carotid Atherosclerotic Plaque Calcification and Intraplaque Hemorrhage: A Magnetic Resonance Imaging Study. Arterioscler Thromb Vasc Biol. 2017 Jun;37(6):1228-1233. (Impact factor: 6.086)

16. Chen Z, Zhang X, Yuan C, Zhao X*, van Osch MJ. Measuring the labeling efficiency of pseudocontinuous arterial spin labeling. Magn Reson Med. 2017 May;77(5):1841-1852. (Impact factor: 4.082)

17. Wang X#, Sun J#, Zhao X#, Hippe DS, Hatsukami TS, Liu J, Li R, Canton G, Song Y, Yuan C*; CARE-II study investigators. Ipsilateral plaques display higher T1 signals than contralateral plaques in recently symptomatic patients with bilateral carotid intraplaque hemorrhage. Atherosclerosis. 2017 Feb;257:78-85. (Impact factor: 4.467)

18. Xu Y, Yuan C, Zhou Z, He L, Mi D, Li R, Cui Y, Wang Y, Wang Y, Liu G, Zheng Z, Zhao X*. Co-existing intracranial and extracranial carotid artery atherosclerotic plaques and recurrent stroke risk: a three-dimensional multicontrast cardiovascular magnetic resonance study. J Cardiovasc Magn Reson. 2016 Dec 2;18(1):90. (Impact factor: 5.457)

19. Zhao X, Underhill HR, Cai J, Zhao Q, Li F, Oikawa M, Dong L, Ota H, Hatsukami TS, Yuan C. Discriminating Carotid Atherosclerotic Lesion Severity by Luminal Stenosis and Plaque Burden: A Comparison Utilizing High-Resolution Magnetic Resonance Imaging at 3.0 Tesla. Stroke. 2011 Feb;42(2):347-353. (Impact factor: 6.239)

20. Zhao X, Zhao Q, Chu B, Li F, Cai J, Cai Z, Yuan C. Prevalence of Compositional Features in Subclinical Carotid Atherosclerosis Determined by High-resolution Magnetic Resonance Imaging in Chinese Patients with Coronary Artery Disease. Stroke. 2010 Jun;41(6):1157-1162. (Impact factor: 6.239)

21. Zhao X, Underhill H, Chun Y, Oikawa M, Dong L, Ota H, Hatsukami TS, Wang Q, Ma L, Cai J. Minimization of MR Contrast Weightings for the Comprehensive Evaluation of Carotid Atherosclerotic Disease. Invest Radiol. 2010 Jan;45(1):36-41. (Impact factor: 6.224)