Narula, Jagat

Global, Regional, and National Burden of Cardiovascular Diseases for 10 Causes, 1990 to 2015

Roth, G. A., Johnson, C., Abajobir, A., Abd-Allah, F., Abera, S. F., Abyu, G., Ahmed, M., Aksut, B., Alam, T., Alam, K., et al. (2017) · Journal of the American College of Cardiology

Cardiovascular Health and Risk FactorsHealthcare Systems and Public Health

Cited by 3,791

Apoptosis in Myocytes in End-Stage Heart Failure

Narula, J., Haider, N., Virmani, R., DiSalvo, T. G., Kolodgie, F. D., Hajjar, R. J., Schmidt, U., Semigran, M. J., Dec, G. W., & Khaw, B.-A. (1996) · New England Journal of Medicine

Cell death mechanisms and regulationCardiac Fibrosis and Remodeling

Cited by 1,430

The Role of Endomyocardial Biopsy in the Management of Cardiovascular Disease: A Scientific Statement From the American Heart Association, the American College of Cardiology, and the European Society of Cardiology

Cooper, L. T., Baughman, K. L., Feldman, A. M., Frustaci, A., Jessup, M., Kuhl, U., Levine, G. N., Narula, J., Starling, R. C., Towbin, J., et al. (2007) · Circulation

Cardiomyopathy and Myosin StudiesViral Infections and Immunology Research

Cited by 1,030

Prevalence and Impact of Myocardial Injury in Patients Hospitalized With COVID-19 Infection

Lala, A., Johnson, K. W., Januzzi, J. L., Russak, A. J., Paranjpe, I., Richter, F., Zhao, S., Somani, S., Van Vleck, T., Vaid, A., et al. (2020) · Journal of the American College of Cardiology

COVID-19 Clinical Research StudiesTakotsubo Cardiomyopathy and Associated Phenomena

Cited by 791

Clinical applications of machine learning in cardiovascular disease and its relevance to cardiac imaging

Al’Aref, S. J., Anchouche, K., Singh, G., Slomka, P. J., Kolli, K. K., Kumar, A., Pandey, M., Maliakal, G., van Rosendael, A. R., Beecy, A. N., et al. (2019) · European Heart Journal

Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare

Cited by 534

2016 SCCT/STR guidelines for coronary artery calcium scoring of noncontrast noncardiac chest CT scans: a report of the Society of Cardiovascular Computed Tomography and Society of Thoracic Radiology

Hecht, H. S., Cronin, P., Blaha, M. J., Budoff, M. J., Kazerooni, E. A., Narula, J., Yankelevitz, D., & Abbara, S. (2017) · Journal of Cardiovascular Computed Tomography

Cardiac Imaging and DiagnosticsRadiation Dose and Imaging

Cited by 492

A mouse model of mitochondrial disease reveals germline selection against severe mtDNA mutations

Fan, W., Waymire, K. G., Narula, N., Li, P., Rocher, C., Coskun, P. E., Vannan, M. A., Narula, J., MacGregor, G. R., & Wallace, D. C. (2008) · Science

Mitochondrial Function and PathologyEvolution and Genetic Dynamics

Cited by 466

Coronary atherosclerosis in indigenous South American Tsimane: a cross-sectional cohort study

Kaplan, H., Thompson, R. C., Trumble, B. C., Wann, L. S., Allam, A. H., Beheim, B., Frohlich, B., Sutherland, M. L., Sutherland, J. D., Stieglitz, J., et al. (2017) · The Lancet

Indigenous Health and EducationCardiac Imaging and Diagnostics

Cited by 338

Pathology of Peripheral Artery Disease in Patients With Critical Limb Ischemia

Narula, N., Dannenberg, A. J., Olin, J. W., Bhatt, D. L., Johnson, K. W., Nadkarni, G., Min, J., Torii, S., Poojary, P., Anand, S. S., et al. (2018) · Journal of the American College of Cardiology

Peripheral Artery Disease ManagementAortic Thrombus and Embolism

Cited by 326

Imaging Atherosclerotic Plaque Inflammation by Fluorodeoxyglucose With Positron Emission Tomography

Rudd, J. H. F., Narula, J., Strauss, H. W., Virmani, R., Machac, J., Klimas, M., Tahara, N., Fuster, V., Warburton, E. A., Fayad, Z. A., et al. (2010) · Journal of the American College of Cardiology

Cardiac Imaging and DiagnosticsAtherosclerosis and Cardiovascular Diseases

Cited by 236

U.S. Hospital Use of Echocardiography

Papolos, A., Narula, J., Bavishi, C., Chaudhry, F. A., & Sengupta, P. P. (2016) · Journal of the American College of Cardiology

Healthcare cost, quality, practicesCardiac Imaging and Diagnostics

Cited by 154

2016 SCCT/STR guidelines for coronary artery calcium scoring of noncontrast noncardiac chest CT scans: A report of the Society of Cardiovascular Computed Tomography and Society of Thoracic Radiology

Hecht, H. S., Cronin, P., Blaha, M. J., Budoff, M. J., Kazerooni, E. A., Narula, J., Yankelevitz, D., & Abbara, S. (2017) · Journal of Thoracic Imaging

Cardiac Imaging and DiagnosticsLung Cancer Diagnosis and Treatment

Cited by 127

Estimated Worldwide Mortality Attributed to Secondhand Tobacco Smoke Exposure, 1990-2016

Yousuf, H., Hofstra, M., Tijssen, J., Leenen, B., Lindemans, J. W., van Rossum, A., Narula, J., & Hofstra, L. (2020) · JAMA Network Open

Smoking Behavior and CessationGlobal Cancer Incidence and Screening

Cited by 105

Apoptosis and heart failure: clinical relevance and therapeutic target

GARG, S., NARULA, J., & CHANDRASHEKHAR, Y. (2005) · Journal of Molecular and Cellular Cardiology

Cardiac Fibrosis and RemodelingCell death mechanisms and regulation

Cited by 103

Elimination of Neoangiogenesis for Plaque Stabilization

Kolodgie, F. D., Narula, J., Yuan, C., Burke, A. P., Finn, A. V., & Virmani, R. (2007) · Journal of the American College of Cardiology

Atherosclerosis and Cardiovascular DiseasesCoronary Interventions and Diagnostics

Cited by 96

Early aortic valve inflammation precedes calcification: A longitudinal FDG-PET/CT study

Abdelbaky, A., Corsini, E., Figueroa, A. L., Subramanian, S., Fontanez, S., Emami, H., Hoffmann, U., Narula, J., & Tawakol, A. (2015) · Atherosclerosis

Cardiac Valve Diseases and TreatmentsCardiac Imaging and Diagnostics

Cited by 96

HLA-DR/DQ antigens and reactivity to B cell alloantigen D8/17 in Indian patients with rheumatic heart disease.

Taneja, V, Mehra, N. K., Reddy, K. S., Narula, J., Tandon, R., Vaidya, M. C., & Bhatia, M. L. (1989) · Circulation

Streptococcal Infections and TreatmentsSystemic Lupus Erythematosus Research

Cited by 55

Artificial intelligence applied to coronary artery calcium scans (AI-CAC) significantly improves cardiovascular events prediction

Naghavi, M., Reeves, A. P., Atlas, K., Zhang, C., Atlas, T., Henschke, C. I., Yankelevitz, D. F., Budoff, M. J., Li, D., Roy, S. K., et al. (2024) · npj Digital Medicine

Cardiac Imaging and DiagnosticsArtificial Intelligence in Healthcare and Education

Cited by 45

First Year Medical Students, Personal Handheld Ultrasound Devices, and Introduction of Insonation in Medical Education

Ireson, M., Warring, S., Medina-Inojosa, J. R., O’Malley, M. T., Pawlina, W., Lachman, N., Narula, J., & Bhagra, A. (2019) · Annals of Global Health

Ultrasound in Clinical ApplicationsInnovations in Medical Education

Cited by 37

Multi-center retrospective cohort study applying deep learning to electrocardiograms to identify left heart valvular dysfunction

Vaid, A., Argulian, E., Lerakis, S., Beaulieu-Jones, B. K., Krittanawong, C., Klang, E., Lampert, J., Reddy, V. Y., Narula, J., Nadkarni, G. N., et al. (2023) · Communications Medicine

ECG Monitoring and AnalysisMachine Learning in Healthcare

Cited by 30

Agatston-2.0: A next-generation AI-based coronary calcium quantification approach to improve risk stratification among individuals with zero Agatston scores – Part I

Naghavi, M., Azimi, A., Atlas, K., Reeves, A. P., Zhang, C., Mirjalili, S. R., Mozafarybazargany, M., Jolfayi, A. G., Hashemi, A., Atlas, T., et al. (2026) · American Journal of Preventive Cardiology

Cardiac Imaging and DiagnosticsArtificial Intelligence in Healthcare and Education

Cited by 2