Rahmati, Masoud

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

Burden of 375 diseases and injuries, risk-attributable burden of 88 risk factors, and healthy life expectancy in 204 countries and territories, including 660 subnational locations, 1990–2023: a systematic analysis for the Global Burden of Disease Study 2023

Hay, S. I., Ong, K. L., Santomauro, D. F., A, B., Aalipour, M. A., Aalruz, H., Ababneh, H. S., Abaraogu, U. O., Abate, B. B., Abbafati, C., et al. (2025) · The Lancet

Global Health and EpidemiologyCardiovascular Health and Risk Factors

Cited by 916

Global fertility in 204 countries and territories, 1950–2021, with forecasts to 2100: a comprehensive demographic analysis for the Global Burden of Disease Study 2021

Bhattacharjee, N. V., Schumacher, A. E., Aali, A., Abate, Y. H., Abbasgholizadeh, R., Abbasian, M., Abbasi-Kangevari, M., Abbastabar, H., Abd ElHafeez, S., Abd-Elsalam, S., et al. (2024) · The Lancet

Insurance, Mortality, Demography, Risk ManagementDemographic Trends and Gender Preferences

Cited by 629

Global, regional, and national incidence and mortality burden of non-COVID-19 lower respiratory infections and aetiologies, 1990–2021: a systematic analysis from the Global Burden of Disease Study 2021

Bender, R. G., Sirota, S. B., Swetschinski, L. R., Dominguez, R.-M. V., Novotney, A., Wool, E. E., Ikuta, K. S., Vongpradith, A., Rogowski, E. L. B., Doxey, M., et al. (2024) · The Lancet Infectious Diseases

Pneumonia and Respiratory InfectionsRespiratory viral infections research

Cited by 596

Global burden of 292 causes of death in 204 countries and territories and 660 subnational locations, 1990–2023: a systematic analysis for the Global Burden of Disease Study 2023

Naghavi, M., Kyu, H. H., A, B., Aalipour, M. A., Aalruz, H., Ababneh, H. S., Abafita, B. J., Abaraogu, U. O., Abbafati, C., Abbasi, M., et al. (2025) · The Lancet

Insurance, Mortality, Demography, Risk ManagementGlobal Health and Epidemiology

Cited by 595

The global, regional, and national burden of cancer, 1990–2023, with forecasts to 2050: a systematic analysis for the Global Burden of Disease Study 2023

Force, L. M., Kocarnik, J. M., May, M. L., Bhangdia, K., Crist, A., Penberthy, L., Pritchett, N., Acheson, A., Deitesfeld, L., A, B., et al. (2025) · The Lancet

Global Cancer Incidence and ScreeningColorectal Cancer Screening and Detection

Cited by 494

The global epidemiology and health burden of the autism spectrum: findings from the Global Burden of Disease Study 2021.

Santomauro, D. F., Erskine, H. E., Mantilla Herrera, A. M., Miller, P. A., Shadid, J., Hagins, H., Addo, I. Y., Adnani, Q. E. S., Ahinkorah, B. O., Ahmed, A., et al. (2025) · The Lancet Psychiatry

Autism Spectrum Disorder ResearchDown syndrome and intellectual disability research

Cited by 223

Global age-sex-specific all-cause mortality and life expectancy estimates for 204 countries and territories and 660 subnational locations, 1950–2023: a demographic analysis for the Global Burden of Disease Study 2023

Schumacher, A. E., Zheng, P., Barber, R. M., A, B., Aalipour, M. A., Aalruz, H., Ababneh, H. S., Abaraogu, U. O., Abbafati, C., Abbas, N., et al. (2025) · The Lancet

Insurance, Mortality, Demography, Risk ManagementGlobal Cancer Incidence and Screening

Cited by 209

Global, regional, and national age-specific progress towards the 2020 milestones of the WHO End TB Strategy: a systematic analysis for the Global Burden of Disease Study 2021

Ledesma, J. R., Ma, J., Zhang, M., Basting, A. V. L., Chu, H. T., Vongpradith, A., Novotney, A., LeGrand, K. E., Xu, Y. Y., Dai, X., et al. (2024) · The Lancet Infectious Diseases

Tuberculosis Research and EpidemiologyHIV, TB, and STIs Epidemiology

Cited by 146

Prediction model for cardiovascular disease in patients with diabetes using machine learning derived and validated in two independent Korean cohorts

Sang, H., Lee, H., Lee, M., Park, J., Kim, S., Woo, H. G., Rahmati, M., Koyanagi, A., Smith, L., Lee, S., et al. (2024) · Scientific Reports

Artificial Intelligence in HealthcareDiabetes, Cardiovascular Risks, and Lipoproteins

Cited by 36

Factors Affecting Global Adherence for the Uptake of Diabetic Retinopathy Screening: A Systematic Review and Meta-Analysis

RAHMATI, M., SMITH, L., BOYER, L., FOND, G., YON, D. K., LEE, H., SOYSAL, P., PIYASENA, M. P., & PARDHAN, S. (2024) · American Journal of Ophthalmology

Retinal Imaging and AnalysisRetinal Diseases and Treatments

Cited by 34

Global time trends of perceived loneliness among adolescents from 28 countries in Africa, Asia, and the Americas

Smith, L., López Sánchez, G. F., Pizzol, D., Yon, D. K., Oh, H., Kostev, K., Gawronska, J., Rahmati, M., Butler, L., Barnett, Y., et al. (2024) · Journal of Affective Disorders

Health disparities and outcomesChild and Adolescent Psychosocial and Emotional Development

Cited by 17

Artificial Intelligence improves follow-up appointment uptake for diabetic retinal assessment: a systematic review and meta-analysis

Rahmati, M., Smith, L., Piyasena, M. P., Bowen, M., Boyer, L., Fond, G., Kazemi, A., Yon, D. K., Lee, H., Sehmbi, T., et al. (2025) · Eye

Retinal Imaging and AnalysisRetinal Diseases and Treatments

Cited by 11