World's Best Scientists 2026 revealed!

D-Index & Metrics

Medicine

D-Index
91
Citations
29306
World Ranking
11794
National Ranking
6047

Yi Wang 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 Yi Wang 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: 573 publications — 68th percentile

68% of scientists in this discipline score the same or lower.

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

Yi Wang 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 Yi Wang 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: 91 D-Index — 43rd percentile

43% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2007 - Fellow of the Indian National Academy of Engineering (INAE)

Overview

Yi Wang is affiliated with Cornell University in the United States and has a pronounced focus in the field of Medicine, contributing extensively to Radiology, Nuclear Medicine and Imaging, Neurology, Pathology and Forensic Medicine, Biomedical Engineering, and Molecular Biology.

Their research work predominantly addresses advanced MRI techniques and applications, advanced neuroimaging techniques and applications, MRI in cancer diagnosis, functional brain connectivity studies, multiple sclerosis research studies, radiomics and machine learning in medical imaging, and broader medical imaging techniques and applications.

Yi Wang has published in a variety of venues, with frequent contributions to:

  • Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
  • Magnetic Resonance in Medicine
  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Journal of Neuroimaging

Recent notable publications include:

  • Recommended implementation of quantitative susceptibility mapping for clinical research in the brain: A consensus of the ISMRM electro-magnetic tissue properties study group, 2024, Magnetic Resonance in Medicine
  • QSM is an imaging biomarker for chronic glial activation in multiple sclerosis lesions, 2021, Annals of Clinical and Translational Neurology
  • Fidelity imposed network edit (FINE) for solving ill-posed image reconstruction, 2020, NeuroImage
  • Cerebral oxygen extraction fraction (OEF): Comparison of challenge-free gradient echo QSM+qBOLD (QQ) with 15O PET in healthy adults, 2020, Journal of Cerebral Blood Flow & Metabolism
  • Impact of Sacubitril/Valsartan Versus Ramipril on Total Heart Failure Events in the PARADISE-MI Trial, 2021, Circulation

Yi Wang has collaborated frequently with the following co-authors:

  • Pascal Spincemaille
  • Thanh D. Nguyen
  • Alexey Dimov
  • Junghun Cho
  • Susan A. Gauthier

Awards received include recognition as a Fellow of the Indian National Academy of Engineering (INAE) in 2007.

Best Publications

  • Quantitative susceptibility mapping (QSM): Decoding MRI data for a tissue magnetic biomarker.

    Yi Wang;Tian-Yu Liu

  • Quantitative susceptibility map reconstruction from MR phase data using bayesian regularization: validation and application to brain imaging.

    Ludovic de Rochefort;Tian Liu;Bryan Kressler;Jing Liu

  • The updated biology of hypoxia‐inducible factor

    Samantha N Greer;Julie L Metcalf;Yi Wang;Michael Ohh

  • Calculation of susceptibility through multiple orientation sampling (COSMOS): a method for conditioning the inverse problem from measured magnetic field map to susceptibility source image in MRI.

    Tian Liu;Pascal Spincemaille;Ludovic de Rochefort;Bryan Kressler

  • Respiratory motion of the heart: kinematics and the implications for the spatial resolution in coronary imaging

    Yi Wang;Stephen J. Riederer;Richard L. Ehman

  • Morphology Enabled Dipole Inversion for Quantitative Susceptibility Mapping Using Structural Consistency Between the Magnitude Image and the Susceptibility Map

    Jing Liu;Tian Liu;Ludovic de Rochefort;James Ledoux

  • A novel background field removal method for MRI using projection onto dipole fields (PDF).

    Tian Liu;Ildar Khalidov;Ludovic de Rochefort;Pascal Spincemaille

  • Navigator-echo-based real-time respiratory gating and triggering for reduction of respiration effects in three-dimensional coronary MR angiography.

    Yi Wang;Phillip J. Rossman;Roger C. Grimm;Stephen J. Riederer

  • Morphology enabled dipole inversion (MEDI) from a single‐angle acquisition: Comparison with COSMOS in human brain imaging

    Tian Liu;Jing Liu;Ludovic de Rochefort;Ludovic de Rochefort;Pascal Spincemaille

  • Nonlinear formulation of the magnetic field to source relationship for robust quantitative susceptibility mapping.

    Tian Liu;Cynthia Wisnieff;Min Lou;Weiwei Chen

  • Cardiac motion of coronary arteries: variability in the rest period and implications for coronary MR angiography.

    Yi Wang;Erez Vidan;Geoffrey W. Bergman

  • Benign Prostatic Hyperplasia: Prostatic Arterial Embolization versus Transurethral Resection of the Prostate—A Prospective, Randomized, and Controlled Clinical Trial

    Yuan-an Gao;Yan Huang;Rui Zhang;Yu-dong Yang

  • Quantitative MR susceptibility mapping using piece-wise constant regularized inversion of the magnetic field

    Ludovic de Rochefort;Ryan Brown;Martin R. Prince;Yi Wang

  • Analysis of temperature modulation of plant defense against biotrophic microbes.

    Yi Wang;Zhilong Bao;Ying Zhu;Jian Hua

  • Quantitative Susceptibility Mapping in Multiple Sclerosis

    Christian Langkammer;Tian Liu;Michael Khalil;Christian Enzinger

  • Nonlinear Regularization for Per Voxel Estimation of Magnetic Susceptibility Distributions From MRI Field Maps

    B. Kressler;L. de Rochefort;Tian Liu;P. Spincemaille

  • Intracranial Calcifications and Hemorrhages: Characterization with Quantitative Susceptibility Mapping

    Weiwei Chen;Wenzhen Zhu;IIhami Kovanlikaya;Arzu Kovanlikaya

  • Orbital navigator echoes for motion measurements in magnetic resonance imaging

    Zhuo Wu Fu;Yi Wang;Roger C. Grimm;Phillip J. Rossman

  • Assessment of chronic hepatitis and fibrosis: comparison of MR elastography and diffusion-weighted imaging.

    Yi Wang;Daniel R. Ganger;Josh Levitsky;Laura A. Sternick

  • Quantitative Susceptibility Mapping of Multiple Sclerosis Lesions at Various Ages

    Weiwei Chen;Susan A. Gauthier;Ajay Gupta;Joseph Comunale

Frequent Co-Authors

Martin R. Prince
Martin R. Prince Cornell University
Nathaniel Reichek
Nathaniel Reichek Stony Brook University
Richard B. Devereux
Richard B. Devereux Cornell University
Louis A. Matis
Louis A. Matis Alexion Pharma (Switzerland)
Ramin Zabih
Ramin Zabih Cornell University
Mert R. Sabuncu
Mert R. Sabuncu Cornell University
Yonatan H. Grad
Yonatan H. Grad Harvard University
Richard L. Ehman
Richard L. Ehman Mayo Clinic
Frank H. Miller
Frank H. Miller Northwestern University
Robert K. Heaton
Robert K. Heaton University of California, San Diego

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