World's Best Scientists 2026 revealed!

D-Index & Metrics

Medicine

D-Index
76
Citations
17440
World Ranking
18920
National Ranking
9430

Di Yan 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 Di Yan 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: 494 publications — 57th percentile

57% of scientists in this discipline score the same or lower.

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

Di Yan 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 Di Yan 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: 76 D-Index — 8th percentile

8% of scientists in this discipline score the same or lower.

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

Overview

Di Yan is a researcher affiliated with Beaumont Health in the United States, with a focus spanning medicine and engineering. Their extensive work addresses multiple subfields, including radiation, pulmonary and respiratory medicine, electrical and electronic engineering, radiology, nuclear medicine and imaging, and computer vision and pattern recognition.

The researcher's main topics of interest cover various aspects of radiotherapy and medical imaging. These include advanced radiotherapy techniques, radiation therapy and dosimetry, medical imaging techniques and applications, radiomics and machine learning in medical imaging, radiation effects in electronics, and prostate cancer diagnosis and treatment.

Several frequent coauthors have contributed to Di Yan's publications, among them Xuanfeng Ding, Craig Stevens, Lewei Zhao, An Qin, and Weili Zheng. These longstanding collaborations have supported research output across various domains of study.

Di Yan's recent published papers include:

  • Improve the dosimetric outcome in bilateral head and neck cancer (HNC) treatment using spot-scanning proton arc (SPArc) therapy: a feasibility study, 2020, Radiation Oncology
  • Feasibility study: spot-scanning proton arc therapy (SPArc) for left-sided whole breast radiotherapy, 2020, Radiation Oncology
  • A novel energy sequence optimization algorithm for efficient spot-scanning proton arc (SPArc) treatment delivery, 2020, Acta Oncologica
  • Association of meat consumption with the risk of gastrointestinal cancers: a systematic review and meta-analysis, 2023, BMC Cancer
  • A New Framework for Winter Wheat Yield Prediction Integrating Deep Learning and Bayesian Optimization, 2022, Agronomy

Di Yan regularly publishes in several venues, with the most frequent being:

  • International Journal of Radiation Oncology*Biology*Physics (15 publications)
  • arXiv (Cornell University) (10 publications)
  • Frontiers in Oncology (5 publications)
  • Radiotherapy and Oncology (5 publications)
  • Medical Physics (4 publications)

Their work demonstrates integration across the medical and engineering fields, often focusing on improving radiation therapy methods, optimizing imaging techniques, and applying machine learning to medical contexts.

Best Publications

  • Adaptive radiation therapy

    Di Yan;Frank Vicini;John Wong;Alvaro Martinez

  • An off-line strategy for constructing a patient-specific planning target volume in adaptive treatment process for prostate cancer.

    Di Yan;David Lockman;Donald Brabbins;Laura Tyburski

  • Intensity modulation to improve dose uniformity with tangential breast radiotherapy: initial clinical experience.

    Larry L Kestin;Michael B Sharpe;Robert C Frazier;Frank A Vicini

  • Potential for reduced toxicity and dose escalation in the treatment of inoperable non–small-cell lung cancer: A comparison of intensity-modulated radiation therapy (IMRT), 3D conformal radiation, and elective nodal irradiation

    Inga S Grills;Di Yan;Alvaro A Martinez;Frank A Vicini

  • Defining A radiotherapy target with positron emission tomography

    Quinten C. Black;Inga S. Grills;Larry L. Kestin;Ching Yee O. Wong

  • A model to accumulate fractionated dose in a deforming organ

    Di Yan;D.A. Jaffray;J.W. Wong

  • Evaluation of a 2D diode array for IMRT quality assurance

    Daniel Létourneau;Misbah Gulam;Di Yan;Mark Oldham

  • The dose-volume realationship of acute small bowel toxicity from concurrent 5-FU-based chemotherapy and radiation therapy for rectal cancer

    Kathy L Baglan;Robert C Frazier;Di Yan;Raywin R Huang

  • Adaptive modification of treatment planning to minimize the deleterious effects of treatment setup errors.

    Di Yan;John Wong;Frank Vicini;Jeff Michalski

  • Cone-beam-CT guided radiation therapy: A model for on-line application.

    Mark Oldham;Daniel Létourneau;Lindsay Watt;Geoffrey Hugo

  • Image-Guided Radiotherapy via Daily Online Cone-Beam CT Substantially Reduces Margin Requirements for Stereotactic Lung Radiotherapy

    Inga S. Grills;Geoffrey Hugo;Larry L. Kestin;Ana Paula Galerani

  • Adaptive Replanning Strategies Accounting for Shrinkage in Head and Neck IMRT

    Qiuwen Wu;Qiuwen Wu;Yuwei Chi;Peter Y. Chen;Daniel J. Krauss

  • Dose-volume analysis of predictors for chronic rectal toxicity after treatment of prostate cancer with adaptive image-guided radiotherapy.

    Carlos Vargas;Alvaro Martinez;Larry L. Kestin;Di Yan

  • A Collaborative Analysis of Stereotactic Lung Radiotherapy Outcomes for Early-Stage Non–Small-Cell Lung Cancer Using Daily Online Cone-Beam Computed Tomography Image-Guided Radiotherapy

    Inga Siiner Grills;Andrew J. Hope;Matthias Guckenberger;Larry L. Kestin

  • Improvement in dose escalation using the process of adaptive radiotherapy combined with three-dimensional conformal or intensity-modulated beams for prostate cancer

    Alvaro A Martinez;Di Yan;David Lockman;Donald Brabbins

  • Online image-guided intensity-modulated radiotherapy for prostate cancer: How much improvement can we expect? A theoretical assessment of clinical benefits and potential dose escalation by improving precision and accuracy of radiation delivery.

    Michel Ghilezan;Di Yan;Jian Liang;David Jaffray

  • Automatic Delineation of On-Line Head-And-Neck Computed Tomography Images: Toward On-Line Adaptive Radiotherapy

    Tiezhi Zhang;Yuwei Chi;Elisa Meldolesi;Di Yan

  • Computed tomography guided management of interfractional patient variation.

    Di Yan;David Lockman;Alvaro Martinez;John Wong

  • Assessment of residual error for online cone-beam CT-guided treatment of prostate cancer patients

    Daniel Létourneau;Alvaro A. Martinez;David Lockman;Di Yan

  • Setup error in radiotherapy: on-line correction using electronic kilovoltage and megavoltage radiographs

    Laura Pisani;Laura Pisani;David Lockman;David Jaffray;David Jaffray;Di Yan;Di Yan

Frequent Co-Authors

Alvaro Martinez
Alvaro Martinez Beaumont Health
Larry L. Kestin
Larry L. Kestin Beaumont Health
John Wong
John Wong Johns Hopkins University
Frank A. Vicini
Frank A. Vicini Beaumont Health
David A. Jaffray
David A. Jaffray The University of Texas MD Anderson Cancer Center
George D. Wilson
George D. Wilson Beaumont Health
Matthias Guckenberger
Matthias Guckenberger University of Zurich
Chirag Shah
Chirag Shah University of Washington
Jeff M. Michalski
Jeff M. Michalski Washington University in St. Louis
Jia Li
Jia Li Pennsylvania State University

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