Wei Hu, Ph.D.

2009 Stanford University, Palo Alto, CA 
Materials Science, Electrical Engineering, Radiology
"Wei Hu"
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Shan Xiang Wang grad student 2009 Stanford
 (High moment synthetic magnetic nanoparticles for biomedical applications.)
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Wang C, Liu X, Zhang P, et al. (2019) Bacillus licheniformis escapes from Myxococcus xanthus predation by deactivating myxovirescin A through enzymatic glucosylation. Environmental Microbiology
Hu W, Huang Y, Bai H, et al. (2019) Influence of drought stress on pistil physiology and reproductive success of two Gossypium hirsutum cultivars differing in drought tolerance. Physiologia Plantarum
Ma Q, Qi X, Lin X, et al. (2019) LncRNA SNHG3 promotes cell proliferation and invasion through the miR-384/hepatoma-derived growth factor axis in breast cancer. Human Cell
Wang Y, Shi L, Wu H, et al. (2019) Graphene Oxide-IPDI-Ag/ZnO@Hydroxypropyl Cellulose Nanocomposite Films for Biological Wound-Dressing Applications. Acs Omega. 4: 15373-15381
Chen P, Wei BY, Hu W, et al. (2019) Liquid-Crystal-Mediated Geometric Phase: From Transmissive to Broadband Reflective Planar Optics. Advanced Materials (Deerfield Beach, Fla.). e1903665
Qiu S, Hu W, Ma Q, et al. (2019) TIPE1 suppresses the invasion and migration of breast cancer cells and inhibits epithelial-to-mesenchymal transition primarily via the ERK signaling pathway. Acta Biochimica Et Biophysica Sinica
Lu C, Yang Y, Zhang Q, et al. (2019) Pharmacokinetic and bioequivalence study of emtricitabine/tenofovir disoproxil fumarate tablets in healthy Chinese subjects
. International Journal of Clinical Pharmacology and Therapeutics
Hu W, Huang X, Huang X, et al. (2019) Chimeric antigen receptor modified T cell (CAR-T) co-expressed with ICOSL-41BB promote CAR-T proliferation and tumor rejection. Biomedicine & Pharmacotherapy = Biomedecine & Pharmacotherapie. 118: 109333
Seow WJ, Shu XO, Nicholson JK, et al. (2019) Association of Untargeted Urinary Metabolomics and Lung Cancer Risk Among Never-Smoking Women in China. Jama Network Open. 2: e1911970
Hu W, Ye S, Zhang Y, et al. (2019) Machine Learning Protocol for Surface Enhanced Raman Spectroscopy. The Journal of Physical Chemistry Letters
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