Cheng, Ching-Yu
National University of Singapore · Singapore National Eye Center · Singapore Eye Research Institute
42 papers on CoChatORCID 0000-0003-0655-885X
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 Prevalence of Glaucoma and Projections of Glaucoma Burden through 2040
Tham, Y.-C., Li, X., Wong, T. Y., Quigley, H. A., Aung, T., & Cheng, C.-Y. (2014) · Ophthalmology
Glaucoma and retinal disordersOphthalmology and Visual Impairment Studies
Cited by 7,159
- Verified
Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks for 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017
Stanaway, J. D., Afshin, A., Gakidou, E., Lim, S. S., Abate, D., Abate, K. H., Abbafati, C., Abbasi, N., Abbastabar, H., Abd-Allah, F., et al. (2018) · The Lancet
Cardiovascular Health and Risk FactorsOccupational Health and Global Justice
Cited by 4,943
- Verified
Worldwide trends in hypertension prevalence and progress in treatment and control from 1990 to 2019: a pooled analysis of 1201 population-representative studies with 104 million participants
Zhou, B., Carrillo-Larco, R. M., Danaei, G., Riley, L. M., Paciorek, C. J., Stevens, G. A., Gregg, E. W., Bennett, J. E., Solomon, B., Singleton, R. K., et al. (2021) · The Lancet
Blood Pressure and Hypertension StudiesSodium Intake and Health
Cited by 3,902
- Verified
Global burden of 288 causes of death and life expectancy decomposition in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021
Naghavi, M., Ong, K. L., Aali, A., Ababneh, H. S., Abate, Y. H., Abbafati, C., Abbasgholizadeh, R., Abbasian, M., Abbasi-Kangevari, M., Abbastabar, H., et al. (2024) · The Lancet
Insurance, Mortality, Demography, Risk ManagementGlobal Health and Epidemiology
Cited by 2,889
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Global burden and strength of evidence for 88 risk factors in 204 countries and 811 subnational locations, 1990–2021: A systematic analysis for the Global Burden of Disease Study 2021
Brauer, M., Roth, G. A., Aravkin, A. Y., Zheng, P., Abate, K. H., Abate, Y. H., Abbafati, C., Abbasgholizadeh, R., Abbasi, M. A., Abbasian, M., et al. (2024) · The Lancet
Cardiovascular Health and Risk FactorsGlobal Public Health Policies and Epidemiology
Cited by 2,884
- Verified
Worldwide trends in blood pressure from 1975 to 2015: a pooled analysis of 1479 population-based measurement studies with 19·1 million participants
Zhou, B., Bentham, J., Di Cesare, M., Bixby, H., Danaei, G., Cowan, M. J., Paciorek, C. J., Singh, G., Hajifathalian, K., Bennett, J. E., et al. (2017) · The Lancet
Blood Pressure and Hypertension StudiesSodium Intake and Health
Cited by 2,579
- Verified
Worldwide trends in underweight and obesity from 1990 to 2022: a pooled analysis of 3663 population-representative studies with 222 million children, adolescents, and adults
Phelps, N. H., Singleton, R. K., Zhou, B., Heap, R. A., Mishra, A., Bennett, J. E., Paciorek, C. J., Lhoste, V. P., Carrillo-Larco, R. M., Stevens, G. A., et al. (2024) · The Lancet
Obesity, Physical Activity, DietDiabetes, Cardiovascular Risks, and Lipoproteins
Cited by 2,544
- Verified · note
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
- Verified
Development and validation of a deep learning system for diabetic retinopathy and related eye diseases using retinal images from multiethnic populations with diabetes
Ting, D. S. W., Cheung, C. Y.-L., Lim, G., Tan, G. S. W., Quang, N. D., Gan, A., Hamzah, H., Garcia-Franco, R., San Yeo, I. Y., Lee, S. Y., et al. (2017) · JAMA
Retinal Imaging and AnalysisRetinal Diseases and Treatments
Cited by 2,402
- 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 genetic architecture of type 2 diabetes
Fuchsberger, C., Flannick, J., Teslovich, T. M., Mahajan, A., Agarwala, V., Gaulton, K. J., Ma, C., Fontanillas, P., Moutsianas, L., McCarthy, D. J., et al. (2016) · Nature
Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals
Cited by 1,051
- 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
- Verified
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
- Verified
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
- Verified
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
- Verified
Genome-wide meta-analyses of multiancestry cohorts identify multiple new susceptibility loci for refractive error and myopia
Consortium for Refractive Error and Myopia (CREAM), Verhoeven, V. J. M., The Diabetes Control and Complications Trial/Epidemiology of Diabetes Interventions and Complications (DCCT/EDIC) Research Group, Wellcome Trust Case Control Consortium 2 (WTCCC2), The Fuchs' Genetics Multi-Center Study Group, Hysi, P. G., Wojciechowski, R., Fan, Q., Guggenheim, J. A., Höhn, R., et al. (2013) · Nature Genetics
Ophthalmology and Visual Impairment StudiesGenetic Associations and Epidemiology
Cited by 487
- Verified
Reduced Neutrophil Count in People of African Descent Is Due To a Regulatory Variant in the Duffy Antigen Receptor for Chemokines Gene
Reich, D., Nalls, M. A., Kao, W. H. L., Akylbekova, E. L., Tandon, A., Patterson, N., Mullikin, J., Hsueh, W.-C., Cheng, C.-Y., Coresh, J., et al. (2009) · PLoS Genetics
Genetic Associations and EpidemiologyRace, Genetics, and Society
Cited by 423
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Impact of common genetic determinants of hemoglobin A1c on type 2 diabetes risk and diagnosis in ancestrally diverse populations: A transethnic genome-wide meta-analysis
Wheeler, E., Leong, A., Liu, C.-T., Hivert, M.-F., Strawbridge, R. J., Podmore, C., Li, M., Yao, J., Sim, X., Hong, J., et al. (2017) · PLOS Medicine
Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals
Cited by 408
- Verified
Estimated Glomerular Filtration Rate, Albuminuria, and Adverse Outcomes: An Individual-Participant Data Meta-Analysis
Writing Group for the CKD Prognosis Consortium, Appel, L. J., Grams, M., Woodward, M., Harris, K., Arima, H., Chalmers, J., Yatsuya, H., Tamakoshi, K., Li, Y., et al. (2023) · JAMA
Chronic Kidney Disease and DiabetesAcute Kidney Injury Research
Cited by 396
- Verified
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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Exome sequencing of 20,791 cases of type 2 diabetes and 24,440 controls
Platform, B. G., Flannick, J., DiscovEHR Collaboration, CHARGE, LuCamp, ProDiGY, GoT2D, ESP, SIGMA-T2D, T2D-GENES, et al. (2019) · Nature
Genetic Associations and EpidemiologyGenomics and Rare Diseases
Cited by 304
- Verified
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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