2026 Michael H. Lev: Medicine Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Medicine	90	12255	11530	6276	5806	385	28144

Overview

Michael H. Lev is affiliated with Harvard University in the United States. Their research principally falls within the field of Medicine, with significant contributions to specialized areas such as Radiology, Nuclear Medicine and Imaging, Epidemiology, Neurology, Pulmonary and Respiratory Medicine, and Infectious Diseases.

Their recent scholarly output includes publications on advanced imaging techniques and clinical applications. Notable papers include "A portable scanner for magnetic resonance imaging of the brain" (2020) published in Nature Biomedical Engineering, "Tackling prediction uncertainty in machine learning for healthcare" (2022) also in Nature Biomedical Engineering, "Susceptibility-weighted imaging reveals cerebral microvascular injury in severe COVID-19" (2021) in the Journal of the Neurological Sciences, "Deep learning-based detection and segmentation of diffusion abnormalities in acute ischemic stroke" (2021) in Communications Medicine, and "Effect of Transcranial Low-Level Light Therapy vs Sham Therapy Among Patients With Moderate Traumatic Brain Injury" (2020) in JAMA Network Open.

Frequent collaborators identified in their research include:

Marc D. Succi
John Conklin
R. Gilberto González
Rajiv Gupta
Pamela W. Schaefer

Research publication venues where Michael H. Lev has been notably active include:

American Journal of Neuroradiology
bioRxiv (Cold Spring Harbor Laboratory)
Radiology
PLoS ONE
Research Square (Research Square)

Their main subfields of study encompass:

Radiology, Nuclear Medicine and Imaging
Epidemiology
Neurology
Pulmonary and Respiratory Medicine
Infectious Diseases

Primary topics of research addressed by Michael H. Lev include:

Acute Ischemic Stroke Management
Cerebrovascular and Carotid Artery Diseases
Radiation Dose and Imaging
Advanced MRI Techniques and Applications
Radiomics and Machine Learning in Medical Imaging
Traumatic Brain Injury and Neurovascular Disturbances
Venous Thromboembolism Diagnosis and Management

Best Publications

Recommendations on Angiographic Revascularization Grading Standards for Acute Ischemic Stroke A Consensus Statement

Osama O. Zaidat;Albert J. Yoo;Pooja Khatri;Thomas A. Tomsick

1670
Citations
Hyperacute stroke: evaluation with combined multisection diffusion-weighted and hemodynamically weighted echo-planar MR imaging.

A G Sorensen;F S Buonanno;R G Gonzalez;L H Schwamm

998
Citations
Glial Tumor Grading and Outcome Prediction Using Dynamic Spin-Echo MR Susceptibility Mapping Compared with Conventional Contrast-Enhanced MR: Confounding Effect of Elevated rCBV of Oligodendroglimoas

Michael H. Lev;Yelda Ozsunar;Yelda Ozsunar;John W. Henson;Amjad A. Rasheed

601
Citations
Recommendations for imaging of acute ischemic stroke: A scientific statement from the American Heart Association

Richard E. Latchaw;Mark J. Alberts;Michael H. Lev;John J. Connors

542
Citations
Significance of Large Vessel Intracranial Occlusion Causing Acute Ischemic Stroke and TIA

Wade S. Smith;Michael H. Lev;Joey D. English;Erica C. Camargo

503
Citations
ABC/2 for rapid clinical estimate of infarct, perfusion, and mismatch volumes.

J. R. Sims;L. Rezai Gharai;P. W. Schaefer;M. Vangel

454
Citations
Diagnostic criteria for schwannomatosis

M. MacCollin;E. A. Chiocca;D. G. Evans;J. M. Friedman

443
Citations
CT perfusion scanning with deconvolution analysis: pilot study in patients with acute middle cerebral artery stroke.

James D. Eastwood;Michael H. Lev;Tarek Azhari;Ting-Yim Lee

430
Citations
Collateral Vessels on CT Angiography Predict Outcome in Acute Ischemic Stroke

Matthew B. Maas;Michael H. Lev;Hakan Ay;Aneesh B. Singhal

420
Citations
Utility of Perfusion-Weighted CT Imaging in Acute Middle Cerebral Artery Stroke Treated With Intra-Arterial Thrombolysis: Prediction of Final Infarct Volume and Clinical Outcome

M H Lev;A Z Segal;J Farkas;S T Hossain

411
Citations
Acute Stroke Imaging Research Roadmap II

Max Wintermark;Gregory W. Albers;Andrei V. Alexandrov;Jeffry R. Alger

400
Citations
An explainable deep-learning algorithm for the detection of acute intracranial haemorrhage from small datasets

Hyunkwang Lee;Sehyo Yune;Mohammad Mansouri;Myeongchan Kim

391
Citations
The Pattern of Leptomeningeal Collaterals on CT Angiography Is a Strong Predictor of Long-Term Functional Outcome in Stroke Patients With Large Vessel Intracranial Occlusion

Fabricio O. Lima;Karen L. Furie;Gisele S. Silva;Michael H. Lev

387
Citations
Course of cerebral amyloid angiopathy–related inflammation

C. Kinnecom;M. H. Lev;L. Wendell;E. E. Smith

370
Citations
Theoretic Basis and Technical Implementations of CT Perfusion in Acute Ischemic Stroke, Part 1: Theoretic Basis

A.A. Konstas;G.V. Goldmakher;T.-Y. Lee;M.H. Lev

356
Citations
CONTRAST EXTRAVASATION ON CT ANGIOGRAPHY PREDICTS HEMATOMA EXPANSION IN INTRACEREBRAL HEMORRHAGE

J. N. Goldstein;L. E. Fazen;R. Snider;K. Schwab

356
Citations
CT angiography in the rapid triage of patients with hyperacute stroke to intraarterial thrombolysis: accuracy in the detection of large vessel thrombus.

Michael H. Lev;Jeffrey Farkas;Victor R. Rodriguez;Lee H. Schwamm

341
Citations
Acute stroke: improved nonenhanced CT detection--benefits of soft-copy interpretation by using variable window width and center level settings.

M H Lev;J Farkas;J J Gemmete;S T Hossain

310
Citations
Comparison of Diameter and Perimeter Methods for Tumor Volume Calculation

A. Gregory Sorensen;Shveta Patel;Carla Harmath;Sarah Bridges

296
Citations
Dynamic Magnetic Resonance Perfusion Imaging of Brain Tumors

Diego J. Covarrubias;Bruce R. Rosen;Michael H. Lev

295
Citations

Frequent Co-Authors

Pamela W. Schaefer Harvard University

R. Gilberto Gonzalez Harvard University

Walter J. Koroshetz National Institutes of Health

Lee H. Schwamm Harvard University

Karen L. Furie Brown University

Albert J. Yoo Harvard University

Javier Romero Harvard University

Wade S. Smith University of California, San Francisco

Joshua A Hirsch Harvard University

Elkan F. Halpern Harvard University

External Links

Personal website of Michael H. Lev

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