Bao, Yuqian

Genome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility

DIAbetes Genetics Replication And Meta-analysis (DIAGRAM) Consortium, Mahajan, A., Asian Genetic Epidemiology Network Type 2 Diabetes (AGEN-T2D) Consortium, South Asian Type 2 Diabetes (SAT2D) Consortium, Mexican American Type 2 Diabetes (MAT2D) Consortium, Type 2 Diabetes Genetic Exploration by Next-generation sequencing in multi-Ethnic Samples (T2D-GENES) Consortium, Go, M. J., Zhang, W., Below, J. E., Gaulton, K. J., et al. (2014) · Nature Genetics

Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals

Cited by 1,034

Low-dose metformin targets the lysosomal AMPK pathway through PEN2

Ma, T., Tian, X., Zhang, B., Li, M., Wang, Y., Yang, C., Wu, J., Wei, X., Qu, Q., Yu, Y., et al. (2022) · Nature

Metabolism, Diabetes, and CancerAutophagy in Disease and Therapy

Cited by 644

Association of time in range, as assessed by continuous glucose monitoring, with diabetic retinopathy in type 2 diabetes

Lu, J., Ma, X., Zhou, J., Zhang, L., Mo, Y., Ying, L., Lu, W., Zhu, W., Bao, Y., Vigersky, R. A., et al. (2018) · Diabetes Care

Diabetes Management and ResearchRetinal Diseases and Treatments

Cited by 517

Integrated image-based deep learning and language models for primary diabetes care

Li, J., Guan, Z., Wang, J., Cheung, C. Y., Zheng, Y., Lim, L.-L., Lim, C. C., Ruamviboonsuk, P., Raman, R., Corsino, L., et al. (2024) · Nature Medicine

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 250

Fibroblast growth factor 21 increases insulin sensitivity through specific expansion of subcutaneous fat

Li, H., Wu, G., Fang, Q., Zhang, M., Hui, X., Sheng, B., Wu, L., Bao, Y., Li, P., Xu, A., et al. (2018) · Nature Communications

Fibroblast Growth Factor ResearchAdipokines, Inflammation, and Metabolic Diseases

Cited by 178

Inverse relationship between serum osteocalcin levels and visceral fat area in Chinese men

Bao, Y., Ma, X., Yang, R., Wang, F., Hao, Y., Dou, J., He, H., & Jia, W. (2013) · The Journal of Clinical Endocrinology & Metabolism

Bone health and osteoporosis researchBone Metabolism and Diseases

Cited by 116

Dorzagliatin monotherapy in chinese patients with type 2 diabetes: A dose-ranging, randomised, double-blind, placebo-controlled, phase 2 study

Zhu, D., Gan, S., Liu, Y., Ma, J., Dong, X., Song, W., Zeng, J., Wang, G., Zhao, W., Zhang, Q., et al. (2018) · The Lancet Diabetes & Endocrinology

Diabetes Treatment and ManagementDiabetes Management and Research

Cited by 96

Glycemic variability modifies the relationship between time in range and hemoglobin A1c estimated from continuous glucose monitoring: a preliminary study

Lu, J., Ma, X., Zhang, L., Mo, Y., Lu, W., Zhu, W., Bao, Y., Jia, W., & Zhou, J. (2020) · Diabetes Research and Clinical Practice

Diabetes Management and ResearchDiabetes Treatment and Management

Cited by 49

Performance of a new real‐time continuous glucose monitoring system: A multicenter pilot study

Zhou, J., Zhang, S., Li, L., Wang, Y., Lu, W., Sheng, C., Li, Y., Bao, Y., & Jia, W. (2018) · Journal of Diabetes Investigation

Diabetes Management and ResearchDiabetes Treatment and Management

Cited by 22

Contribution of structured self-monitoring of blood glucose to the glycemic control and the quality of life in both insulin- and noninsulin-treated patients with poorly controlled diabetes

Kan, K., Zhu, W., Lu, F., Shen, Y., Gao, F., Mo, Y., He, X., Bao, Y., Zhou, J., & Jia, W. (2017) · Diabetes Technology & Therapeutics

Diabetes Management and ResearchDiabetes Management and Education

Cited by 16