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Q Xu
First name:
Q
Last name:
Xu
Ji, C. ., Xu, Q. ., Guo, L. ., Wang, X. ., Ren, Y. ., Zhang, H. ., … Zhang, Y. . (2018). eEF-2 Kinase-targeted miR-449b confers radiation sensitivity to cancer cells. Cancer Letters. https://doi.org/10.1016/j.canlet.2018.01.014 (Original work published 2018)
Chen, Y. ., Sun, Y. ., Li, W. ., Wei, H. ., Long, T. ., Li, H. ., … Liu, W. . (2017). Systems pharmacology dissection of the anti-stroke mechanism for the Chinese traditional medicine Xing-Nao-Jing. Journal of Pharmacological Sciences. https://doi.org/10.1016/j.jphs.2017.11.005 (Original work published 2017)
Zhao, Q. ., Feng, Q. ., Lu, H. ., Li, Y. ., Wang, A. ., Tian, Q. ., … Huang, X. . (2018). Pan-genome analysis highlights the extent of genomic variation in cultivated and wild rice. Nature Genetics. https://doi.org/10.1038/s41588-018-0041-z (Original work published 2018)
Li, X. ., Wu, L. ., Geng, X. ., Xia, X. ., Wang, X. ., Xu, Z. ., & Xu, Q. . (2018). Deciphering the Environmental Impacts on Rice Quality for Different Rice Cultivated Areas. Rice (New York, N.Y.), 11(1), 7. https://doi.org/10.1186/s12284-018-0198-1 (Original work published 2018)
Dong, L. ., Yang, Y. ., Lu, Y. ., Lu, C. ., Lv, J. ., Jiang, N. ., … Liu, X. . (2018). Radioprotective effects of dammarane sapogenins against <sup>60</sup> Co-induced myelosuppression in mice. Phytotherapy Research : PTR. https://doi.org/10.1002/ptr.6027 (Original work published 2018)
Lu, Q. ., Niu, X. ., Zhang, M. ., Wang, C. ., Xu, Q. ., Feng, Y. ., … Wei, X. . Genome-Wide Association Study of Seed Dormancy and the Genomic Consequences of Improvement Footprints in Rice (<i>Oryza sativa</i> L.). Frontiers in Plant Science, 8, 2213. https://doi.org/10.3389/fpls.2017.02213 (Original work published 2017)
Zhang, P. ., Wang, J. ., Xu, Q. ., Song, Z. ., Dai, J. ., & Wang, J. . (2018). Altered functional connectivity in post-ischemic stroke depression: A resting-state functional magnetic resonance imaging study. European Journal of Radiology. https://doi.org/10.1016/j.ejrad.2018.01.003 (Original work published 2018)
Wang, L. ., Chen, L. ., Jia, F. ., Shi, X. ., Zhang, Y. ., Li, F. ., … Li, T. . (2021). Risk factors and prediction nomogram model for psychosocial and behavioural problems among children and adolescents during the COVID-19 pandemic: A national multicentre study: Risk Factors of Childhood Psychosocial Problems. Journal of Affective Disorders, 294, 128-136. https://doi.org/10.1016/j.jad.2021.06.077 (Original work published 2021)
