World's Best Scientists 2026 revealed!

D-Index & Metrics

Medicine

D-Index
94
Citations
43828
World Ranking
10300
National Ranking
5298

Chun Yuan 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 Chun Yuan 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: 617 publications — 73rd percentile

73% of scientists in this discipline score the same or lower.

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

Chun Yuan 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 Chun Yuan 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: 94 D-Index — 49th percentile

49% of scientists in this discipline score the same or lower.

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

Overview

Chun Yuan is a researcher affiliated with the University of Utah in the United States. Their work primarily spans the field of medicine, with notable contributions to pulmonary and respiratory medicine, cardiology and cardiovascular medicine, radiology, nuclear medicine and imaging, epidemiology, and neurology.

The scientist's research topics include cerebrovascular and carotid artery diseases, cardiovascular health and disease prevention, acute ischemic stroke management, advanced MRI techniques and applications, cardiac imaging and diagnostics, intracranial aneurysms treatment and complications, and retinal imaging and analysis.

Frequent research collaborators of Chun Yuan include Thomas S. Hatsukami, Niranjan Balu, Gádor Cantón, Daniel S. Hippe, and Mahmud Mossa-Basha.

Chun Yuan has published extensively in several academic venues, with significant numbers of papers appearing in the following journals and conferences:

  • arXiv (Cornell University)
  • 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
  • American Journal of Neuroradiology
  • Journal of Magnetic Resonance Imaging
  • Magnetic Resonance Imaging

Representative recent publications include:

  • Vascular contributions to cognitive impairment and dementia (VCID): A report from the 2018 National Heart, Lung, and Blood Institute and National Institute of Neurological Disorders and Stroke Workshop, 2020, Alzheimer s & Dementia
  • Carotid Plaque-RADS, 2023, JACC. Cardiovascular imaging
  • A standard system phantom for magnetic resonance imaging, 2021, Magnetic Resonance in Medicine
  • Complicated Carotid Artery Plaques as a Cause of Cryptogenic Stroke, 2020, Journal of the American College of Cardiology
  • Personalized Intervention Based on Early Detection of Atherosclerosis, 2024, Journal of the American College of Cardiology

Best Publications

  • From vulnerable plaque to vulnerable patient: a call for new definitions and risk assessment strategies: Part II.

    Morteza Naghavi;Peter Libby;Erling Falk;S. Ward Casscells;S. Ward Casscells

  • Cardiomyocytes derived from human embryonic stem cells in pro-survival factors enhance function of infarcted rat hearts

    Michael A. Laflamme;Kent Y Chen;Anna Naumova;Veronica Muskheli

  • Classification of human carotid atherosclerotic lesions with in vivo multicontrast magnetic resonance imaging.

    Jian Ming Cai;Thomas S. Hatsukami;Marina S. Ferguson;Randy Small

  • In vivo accuracy of multispectral magnetic resonance imaging for identifying lipid-rich necrotic cores and intraplaque hemorrhage in advanced human carotid plaques.

    Chun Yuan;Lee M. Mitsumori;Marina S. Ferguson;Nayak L. Polissar

  • Association Between Carotid Plaque Characteristics and Subsequent Ischemic Cerebrovascular Events A Prospective Assessment With MRI—Initial Results

    Norihide Takaya;Chun Yuan;Baocheng Chu;Tobias Saam

  • Visualization of Fibrous Cap Thickness and Rupture in Human Atherosclerotic Carotid Plaque In Vivo With High-Resolution Magnetic Resonance Imaging

    Thomas S. Hatsukami;Russell Ross;Nayak L. Polissar;Chun Yuan

  • Quantitative Evaluation of Carotid Plaque Composition by In Vivo MRI

    T. Saam;M. S. Ferguson;V. L. Yarnykh;N. Takaya

  • In Vivo Quantitative Measurement of Intact Fibrous Cap and Lipid-Rich Necrotic Core Size in Atherosclerotic Carotid Plaque: Comparison of High-Resolution, Contrast-Enhanced Magnetic Resonance Imaging and Histology

    Jianming Cai;Thomas S. Hatsukami;Marina S. Ferguson;William S. Kerwin

  • Presence of Intraplaque Hemorrhage Stimulates Progression of Carotid Atherosclerotic Plaques A High-Resolution Magnetic Resonance Imaging Study

    Norihide Takaya;Chun Yuan;Baocheng Chu;Tobias Saam

  • Identification of Fibrous Cap Rupture With Magnetic Resonance Imaging Is Highly Associated With Recent Transient Ischemic Attack or Stroke

    Chun Yuan;Shao Xiong Zhang;Nayak L. Polissar;Denise Echelard

  • Carotid Atherosclerotic Plaque: Noninvasive MR Characterization and Identification of Vulnerable Lesions

    Chun Yuan;Lee M. Mitsumori;Kirk W. Beach;Kenneth R. Maravilla

  • Hemorrhage in the Atherosclerotic Carotid Plaque: A High-Resolution MRI Study

    Baocheng Chu;Annette Kampschulte;Marina S. Ferguson;William S. Kerwin

  • Contrast-enhanced high resolution MRI for atherosclerotic carotid artery tissue characterization.

    Chun Yuan;William S. Kerwin;Marina S. Ferguson;Nayak Polissar

  • Quantitative Magnetic Resonance Imaging Analysis of Neovasculature Volume in Carotid Atherosclerotic Plaque

    William Kerwin;Andrew C. Hooker;Mary Spilker;Paolo Vicini

  • The Vulnerable, or High-Risk, Atherosclerotic Plaque: Noninvasive MR Imaging for Characterization and Assessment

    Tobias Saam;Thomas S. Hatsukami;Norihide Takaya;Baocheng Chu

  • Measurement of Atherosclerotic Carotid Plaque Size In Vivo Using High Resolution Magnetic Resonance Imaging

    Chun Yuan;Kirk W. Beach;Llewellyn Hillyer Smith;Thomas S. Hatsukami

  • MR angiography by multiple thin slab 3D acquisition

    Dennis L. Parker;Chun Yuan;Duane D. Blatter

  • Inflammation in carotid atherosclerotic plaque: a dynamic contrast-enhanced MR imaging study.

    William S. Kerwin;Kevin D. O'Brien;Marina S. Ferguson;Nayak Polissar

  • Imaging biomarkers of vulnerable carotid plaques for stroke risk prediction and their potential clinical implications.

    Luca Saba;Tobias Saam;H Rolf Jäger;Chun Yuan

  • Effect of rosuvastatin therapy on carotid plaque morphology and composition in moderately hypercholesterolemic patients: a high-resolution magnetic resonance imaging trial.

    Hunter R. Underhill;Chun Yuan;Xue Qiao Zhao;Larry W. Kraiss

Frequent Co-Authors

Nayak L. Polissar
Nayak L. Polissar University of Washington
Jenq-Neng Hwang
Jenq-Neng Hwang University of Washington
Le He
Le He Soochow University
Kevin D. O'Brien
Kevin D. O'Brien University of Washington
Maximilian F. Reiser
Maximilian F. Reiser Ludwig-Maximilians-Universität München
Mary M. McDermott
Mary M. McDermott Northwestern University
Michael H. Criqui
Michael H. Criqui University of California, San Diego
Jack M. Guralnik
Jack M. Guralnik University of Maryland, Baltimore
Christopher M. Kramer
Christopher M. Kramer University of Virginia Health System
John R. Crouse
John R. Crouse Wake Forest University

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