Wang, Ya Xing
Beijing Tongren Hospital · Capital Medical University · Wake Forest University Health Sciences · Wake Forest University
17 papers on CoChatORCID 0000-0003-2749-7793
Most cited papers
- Verified
Worldwide trends in body-mass index, underweight, overweight, and obesity from 1975 to 2016: a pooled analysis of 2416 population-based measurement studies in 128·9 million children, adolescents, and adults
Abarca-Gómez, L., Abdeen, Z. A., Hamid, Z. A., Abu-Rmeileh, N. M., Acosta-Cazares, B., Acuin, C., Adams, R. J., Aekplakorn, W., Afsana, K., Aguilar-Salinas, C. A., et al. (2017) · The Lancet
Obesity, Physical Activity, DietCancer Risks and Factors
Cited by 7,482
- Verified
Global causes of blindness and distance vision impairment 1990–2020: a systematic review and meta-analysis
Flaxman, S. R., Bourne, R. R. A., Resnikoff, S., Ackland, P., Braithwaite, T., Cicinelli, M. V., Das, A., Jonas, J. B., Keeffe, J., Kempen, J. H., et al. (2017) · The Lancet Global Health
Ophthalmology and Visual Impairment StudiesGlaucoma and retinal disorders
Cited by 3,477
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Causes of blindness and vision impairment in 2020 and trends over 30 years, and prevalence of avoidable blindness in relation to VISION 2020: the Right to Sight: an analysis for the Global Burden of Disease Study
Steinmetz, J. D., Bourne, R. R. A., Briant, P. S., Flaxman, S. R., Taylor, H. R. B., Jonas, J. B., Abdoli, A. A., Abrha, W. A., Abualhasan, A., Abu-Gharbieh, E. G., et al. (2021) · The Lancet Global Health
Ophthalmology and Visual Impairment StudiesGlaucoma and retinal disorders
Cited by 3,189
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Global Prevalence of Diabetic Retinopathy and Projection of Burden through 2045
Teo, Z. L., Tham, Y.-C., Yu, M., Chee, M. L., Rim, T. H., Cheung, N., Bikbov, M. M., Wang, Y. X., Tang, Y., Lu, Y., et al. (2021) · Ophthalmology
Retinal Diseases and TreatmentsRetinal Imaging and Analysis
Cited by 2,420
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Magnitude, temporal trends, and projections of the global prevalence of blindness and distance and near vision impairment: a systematic review and meta-analysis
Bourne, R. R. A., Flaxman, S. R., Braithwaite, T., Cicinelli, M. V., Das, A., Jonas, J. B., Keeffe, J., Kempen, J. H., Leasher, J., Limburg, H., et al. (2017) · The Lancet Global Health
Ophthalmology and Visual Impairment StudiesGlaucoma and retinal disorders
Cited by 2,213
- Verified
Trends in prevalence of blindness and distance and near vision impairment over 30 years: an analysis for the Global Burden of Disease Study
Bourne, R., Steinmetz, J. D., Flaxman, S., Briant, P. S., Taylor, H. R., Resnikoff, S., Casson, R. J., Abdoli, A., Abu-Gharbieh, E., Afshin, A., et al. (2021) · The Lancet Global Health
Ophthalmology and Visual Impairment StudiesGlaucoma and retinal disorders
Cited by 1,431
- Verified
The power of genetic diversity in genome-wide association studies of lipids
Graham, S. E., Clarke, S. L., Wu, K.-H. H., Kanoni, S., Zajac, G. J. M., Ramdas, S., Surakka, I., Ntalla, I., Vedantam, S., Winkler, T. W., et al. (2021) · Nature
Genetic Associations and EpidemiologyLipoproteins and Cardiovascular Health
Cited by 972
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A saturated map of common genetic variants associated with human height
Yengo, L., Vedantam, S., Marouli, E., Sidorenko, J., Bartell, E., Sakaue, S., Graff, M., Eliasen, A. U., Jiang, Y., Raghavan, S., et al. (2022) · Nature
Genetic Associations and EpidemiologyGenetics and Physical Performance
Cited by 825
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Rising rural body-mass index is the main driver of the global obesity epidemic in adults
NCD Risk Factor Collaboration (NCD-RisC), Bixby, H., Bentham, J., Zhou, B., Di Cesare, M., Paciorek, C. J., Bennett, J. E., Taddei, C., Stevens, G. A., Rodriguez-Martinez, A., et al. (2019) · Nature
Obesity, Physical Activity, DietIndigenous Health and Education
Cited by 735
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Multi-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translation
Mahajan, A., Spracklen, C. N., Zhang, W., Ng, M. C. Y., Petty, L. E., Kitajima, H., Yu, G. Z., Rüeger, S., Speidel, L., Kim, Y. J., et al. (2022) · Nature Genetics
Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals
Cited by 704
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Genetic drivers of heterogeneity in type 2 diabetes pathophysiology
Suzuki, K., Hatzikotoulas, K., Southam, L., Taylor, H. J., Yin, X., Lorenz, K. M., Mandla, R., Huerta-Chagoya, A., Melloni, G. E. M., Kanoni, S., et al. (2024) · Nature
Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals
Cited by 606
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A deep learning system for predicting time to progression of diabetic retinopathy
Dai, L., Sheng, B., Chen, T., Wu, Q., Liu, R., Cai, C., Wu, L., Yang, D., Hamzah, H., Liu, Y., et al. (2024) · Nature Medicine
Retinal Imaging and AnalysisRetinal Diseases and Treatments
Cited by 339
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A deep learning algorithm to detect chronic kidney disease from retinal photographs in community-based populations
Sabanayagam, C., Xu, D., Ting, D. S. W., Nusinovici, S., Banu, R., Hamzah, H., Lim, C., Tham, Y.-C., Cheung, C. Y., Tai, E. S., et al. (2020) · The Lancet Digital Health
Retinal Imaging and AnalysisChronic Kidney Disease and Diabetes
Cited by 279
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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
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Large language models and their impact in ophthalmology
Betzler, B. K., Chen, H., Cheng, C.-Y., Lee, C. S., Ning, G., Song, S. J., Lee, A. Y., Kawasaki, R., van Wijngaarden, P., Grzybowski, A., et al. (2023) · The Lancet Digital Health
Artificial Intelligence in Healthcare and EducationOphthalmology and Visual Health Research
Cited by 161
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Evaluation of Shared Genetic Susceptibility to High and Low Myopia and Hyperopia
Tideman, J. W. L., Pärssinen, O., Haarman, A. E. G., Khawaja, A. P., Wedenoja, J., Williams, K. M., Biino, G., Ding, X., Kähönen, M., Lehtimäki, T., et al. (2021) · JAMA Ophthalmology
Ophthalmology and Visual Impairment StudiesGenetic Associations and Epidemiology
Cited by 56
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A multi-ancestry genome-wide study incorporating gene–smoking interactions identifies multiple new loci for pulse pressure and mean arterial pressure
Sung, Y. J., de las Fuentes, L., Winkler, T. W., Chasman, D. I., Bentley, A. R., Kraja, A. T., Ntalla, I., Warren, H. R., Guo, X., Schwander, K., et al. (2019) · Human Molecular Genetics
Genetic Associations and EpidemiologyBlood Pressure and Hypertension Studies
Cited by 43
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