World's Best Scientists 2026 revealed!

D-Index & Metrics

Medicine

D-Index
90
Citations
28144
World Ranking
12255
National Ranking
6276

Michael H. Lev publication distribution in Medicine in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Medicine in 2026. The highlighted bar marks where Michael H. Lev sits on this spectrum.

101–120 publications: 5 scientists 121–140 publications: 26 scientists 141–160 publications: 73 scientists 161–180 publications: 155 scientists 181–200 publications: 230 scientists 201–220 publications: 363 scientists 221–240 publications: 487 scientists 241–260 publications: 545 scientists 261–280 publications: 722 scientists 281–300 publications: 768 scientists 301–320 publications: 834 scientists 321–340 publications: 895 scientists 341–360 publications: 922 scientists 361–380 publications: 838 scientists 381–400 publications: 861 scientists 401–420 publications: 918 scientists 421–440 publications: 806 scientists 441–460 publications: 771 scientists 461–480 publications: 751 scientists 481–500 publications: 713 scientists 501–520 publications: 617 scientists 521–540 publications: 611 scientists 541–560 publications: 537 scientists 561–580 publications: 504 scientists 581–600 publications: 509 scientists 601–620 publications: 396 scientists 621–640 publications: 386 scientists 641–660 publications: 371 scientists 661–680 publications: 340 scientists 681–700 publications: 336 scientists 701–720 publications: 307 scientists 721–740 publications: 259 scientists 741–760 publications: 230 scientists 761–780 publications: 228 scientists 781–800 publications: 217 scientists 801–820 publications: 204 scientists 821–840 publications: 186 scientists 841–860 publications: 177 scientists 861–880 publications: 155 scientists 881–900 publications: 139 scientists 901–920 publications: 145 scientists 921–940 publications: 116 scientists 941–960 publications: 133 scientists 961–980 publications: 91 scientists 981–1,000 publications: 96 scientists 1,001–1,020 publications: 77 scientists 1,021–1,040 publications: 70 scientists 1,041–1,060 publications: 63 scientists 1,061–1,080 publications: 77 scientists 1,081–1,100 publications: 49 scientists 1,101–1,120 publications: 54 scientists 1,121–1,140 publications: 49 scientists 1,141–1,160 publications: 51 scientists 1,161–1,180 publications: 35 scientists 1,181–1,200 publications: 39 scientists 1,201–1,220 publications: 26 scientists 1,221–1,240 publications: 37 scientists 1,241–1,260 publications: 36 scientists 1,261–1,280 publications: 27 scientists 1,281–1,300 publications: 32 scientists 1,301–1,320 publications: 28 scientists 1,321–1,340 publications: 17 scientists 1,341–1,360 publications: 30 scientists 1,361–1,380 publications: 28 scientists 1,381–1,400 publications: 17 scientists 1,401–1,420 publications: 21 scientists 1,421–1,440 publications: 15 scientists 1,441–1,460 publications: 12 scientists 1,461–1,480 publications: 12 scientists 1,481–1,500 publications: 18 scientists 1,501–1,520 publications: 14 scientists 1,521–1,540 publications: 17 scientists 1,541–1,560 publications: 15 scientists 1,561–1,580 publications: 6 scientists 1,581–1,600 publications: 2 scientists 1,601–1,620 publications: 12 scientists 1,621–1,640 publications: 11 scientists 1,641–1,660 publications: 8 scientists 1,661–1,680 publications: 5 scientists 1,681–1,700 publications: 5 scientists 1,701–1,720 publications: 10 scientists 1,721–1,740 publications: 12 scientists 1,741–1,760 publications: 14 scientists 1,761–1,780 publications: 6 scientists 1,781–1,795 publications: 5 scientists 1,796+ publications: 100 scientists
101 publications 1,796+

This scientist: 385 publications — 35th percentile

35% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,796 publications or more.

Michael H. Lev D-index placement in Medicine in 2026

The chart shows the D-index (discipline H-index) distribution of Medicine scientists ranked by Research.com in 2026. The highlighted bar marks where Michael H. Lev sits on this spectrum.

70–71 D-Index: 226 scientists 72–73 D-Index: 391 scientists 74–75 D-Index: 574 scientists 76–77 D-Index: 730 scientists 78–79 D-Index: 891 scientists 80–81 D-Index: 972 scientists 82–83 D-Index: 1,027 scientists 84–85 D-Index: 1,003 scientists 86–87 D-Index: 960 scientists 88–89 D-Index: 970 scientists 90–91 D-Index: 922 scientists 92–93 D-Index: 839 scientists 94–95 D-Index: 808 scientists 96–97 D-Index: 779 scientists 98–99 D-Index: 668 scientists 100–101 D-Index: 611 scientists 102–103 D-Index: 630 scientists 104–105 D-Index: 513 scientists 106–107 D-Index: 541 scientists 108–109 D-Index: 445 scientists 110–111 D-Index: 429 scientists 112–113 D-Index: 400 scientists 114–115 D-Index: 393 scientists 116–117 D-Index: 318 scientists 118–119 D-Index: 302 scientists 120–121 D-Index: 287 scientists 122–123 D-Index: 255 scientists 124–125 D-Index: 256 scientists 126–127 D-Index: 252 scientists 128–129 D-Index: 230 scientists 130–131 D-Index: 179 scientists 132–133 D-Index: 168 scientists 134–135 D-Index: 163 scientists 136–137 D-Index: 159 scientists 138–139 D-Index: 134 scientists 140–141 D-Index: 134 scientists 142–143 D-Index: 118 scientists 144–145 D-Index: 109 scientists 146–147 D-Index: 106 scientists 148–149 D-Index: 74 scientists 150–151 D-Index: 79 scientists 152–153 D-Index: 80 scientists 154–155 D-Index: 87 scientists 156–157 D-Index: 57 scientists 158–159 D-Index: 74 scientists 160–161 D-Index: 69 scientists 162–163 D-Index: 60 scientists 164–165 D-Index: 53 scientists 166–167 D-Index: 39 scientists 168–169 D-Index: 42 scientists 170–171 D-Index: 32 scientists 172–173 D-Index: 39 scientists 174–175 D-Index: 40 scientists 176–177 D-Index: 28 scientists 178–179 D-Index: 19 scientists 180–181 D-Index: 23 scientists 182–183 D-Index: 31 scientists 184–185 D-Index: 18 scientists 186–187 D-Index: 20 scientists 188–189 D-Index: 22 scientists 190–191 D-Index: 13 scientists 192–193 D-Index: 21 scientists 194–195 D-Index: 12 scientists 196–197 D-Index: 12 scientists 198–199 D-Index: 14 scientists 200–201 D-Index: 15 scientists 202–203 D-Index: 13 scientists 204–205 D-Index: 10 scientists 206–207 D-Index: 8 scientists 208–209 D-Index: 4 scientists 210–211 D-Index: 12 scientists 212–213 D-Index: 11 scientists 214–215 D-Index: 10 scientists 216 D-Index: 4 scientists 217+ D-Index: 98 scientists
70 D-Index 217+

This scientist: 90 D-Index — 41st percentile

41% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 217 D-Index or more.

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

  • 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

  • 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

  • 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

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

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

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

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

  • Diagnostic criteria for schwannomatosis

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

  • 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

  • Collateral Vessels on CT Angiography Predict Outcome in Acute Ischemic Stroke

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

  • 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

  • Acute Stroke Imaging Research Roadmap II

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

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

    Hyunkwang Lee;Sehyo Yune;Mohammad Mansouri;Myeongchan Kim

  • 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

  • Course of cerebral amyloid angiopathy–related inflammation

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

  • 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

  • CONTRAST EXTRAVASATION ON CT ANGIOGRAPHY PREDICTS HEMATOMA EXPANSION IN INTRACEREBRAL HEMORRHAGE

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

  • 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

  • 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

  • Comparison of Diameter and Perimeter Methods for Tumor Volume Calculation

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

  • Dynamic Magnetic Resonance Perfusion Imaging of Brain Tumors

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

Frequent Co-Authors

Pamela W. Schaefer
Pamela W. Schaefer Harvard University
R. Gilberto Gonzalez
R. Gilberto Gonzalez Harvard University
Walter J. Koroshetz
Walter J. Koroshetz National Institutes of Health
Lee H. Schwamm
Lee H. Schwamm Harvard University
Karen L. Furie
Karen L. Furie Brown University
Albert J. Yoo
Albert J. Yoo Harvard University
Javier Romero
Javier Romero Harvard University
Wade S. Smith
Wade S. Smith University of California, San Francisco
Joshua A Hirsch
Joshua A Hirsch Harvard University
Elkan F. Halpern
Elkan F. Halpern Harvard University

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