Pengyu Yang, Ph.D.
Affiliations: | 2011-2017 | Chemistry | Scripps Research Institute, La Jolla, La Jolla, CA, United States |
Area:
Chemistry, Chemical Biology, Translational MedicineGoogle:
"Pengyu Yang"Mean distance: (not calculated yet)
Parents
Sign in to add mentorShao Qin Yao | grad student | 2006-2011 | National University of Singapore |
Peter G. Schultz | post-doc | 2011-2017 | Scripps Institute |
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Publications
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Cheng P, Yang P, Zhang H, et al. (2023) Prediction Models for Return of Spontaneous Circulation in Patients with Cardiac Arrest: A Systematic Review and Critical Appraisal. Emergency Medicine International. 2023: 6780941 |
Ren X, Chang C, Qi T, et al. (2023) Clusterin Is a Prognostic Biomarker of Lower-Grade Gliomas and Is Associated with Immune Cell Infiltration. International Journal of Molecular Sciences. 24 |
Sun K, Zhang Y, Li Y, et al. (2023) Biochemical Targets and Molecular Mechanism of Matrine against Aging. International Journal of Molecular Sciences. 24 |
Li H, Ren X, Pang X, et al. (2023) LacNAc modification in bone marrow stromal cells enhances resistance of myelodysplastic syndrome cells to chemotherapeutic drugs. Biochimica Et Biophysica Acta. Molecular Cell Research. 119492 |
Shu W, Wang Y, Li C, et al. (2023) Single-cell Expression Atlas Reveals Cell Heterogeneity in the Creeping Fat of Crohn's Disease. Inflammatory Bowel Diseases |
Yu S, Wang J, Zeng L, et al. (2022) The prevalence of social frailty among older adults: A systematic review and meta-analysis. Geriatric Nursing (New York, N.Y.). 49: 101-108 |
Cui Z, Yang P, Li X, et al. (2022) An alternative excitation method for electrical impedance tomography. The Review of Scientific Instruments. 93: 044710 |
Zhang L, Yang P, Feng H, et al. (2021) Using Network Distance Analysis to Predict lncRNA-miRNA Interactions. Interdisciplinary Sciences, Computational Life Sciences |
Shalhout SZ, Yang PY, Grzelak EM, et al. (2021) YAP-dependent proliferation by a small molecule targeting annexin A2. Nature Chemical Biology |
Feng H, Zhang L, Li S, et al. (2021) Predicting the Reproductive Toxicity of Chemicals Using Ensemble Learning Methods and Molecular Fingerprints. Toxicology Letters |