World's Best Scientists 2026 revealed!

D-Index & Metrics

Medicine

D-Index
80
Citations
21844
World Ranking
17185
National Ranking
198

Carol Y. Cheung 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 Carol Y. Cheung 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: 390 publications — 36th percentile

36% of scientists in this discipline score the same or lower.

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

Carol Y. Cheung 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 Carol Y. Cheung 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: 80 D-Index — 16th percentile

16% of scientists in this discipline score the same or lower.

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

Overview

Carol Y. Cheung is affiliated with the Chinese University of Hong Kong in China. Their research primarily focuses on medicine, with a specific emphasis on ophthalmology, radiology, nuclear medicine and imaging, biomedical engineering, computer vision and pattern recognition, and epidemiology.

The work of Carol Y. Cheung covers multiple areas within ophthalmology and related disciplines.

  • Retinal Imaging and Analysis
  • Retinal Diseases and Treatments
  • Glaucoma and retinal disorders
  • Retinal and Optic Conditions
  • Optical Coherence Tomography Applications
  • Ophthalmology and Visual Impairment Studies
  • Artificial Intelligence in Healthcare and Education

Their publications have appeared in key journals including the American Journal of Ophthalmology, Nature Medicine, The Lancet Digital Health, Eye, and Frontiers in Medicine.

  • American Journal of Ophthalmology (4 publications)
  • Nature Medicine (3 publications)
  • The Lancet Digital Health (3 publications)
  • Eye (3 publications)
  • Frontiers in Medicine (3 publications)

Frequent collaborators of Carol Y. Cheung include Tien Yin Wong, Clement C. Tham, An Ran Ran, Ching-Yu Cheng, and Yih Chung Tham.

  • Tien Yin Wong (27 collaborations)
  • Clement C. Tham (19 collaborations)
  • An Ran Ran (16 collaborations)
  • Ching-Yu Cheng (13 collaborations)
  • Yih Chung Tham (12 collaborations)

Among recent notable publications authored or co-authored by Carol Y. Cheung are:

  • "A deep learning model for detection of Alzheimer's disease based on retinal photographs: a retrospective, multicentre case-control study," 2022, The Lancet Digital Health
  • "A deep learning system for predicting time to progression of diabetic retinopathy," 2024, Nature Medicine
  • "Optical coherence tomography angiography in diabetic retinopathy: an updated review," 2020, Eye
  • "The Association of Choroidal Thickening by Atropine With Treatment Effects for Myopia: Two-Year Clinical Trial of the Low-concentration Atropine for Myopia Progression (LAMP) Study," 2021, American Journal of Ophthalmology
  • "Large language models and their impact in ophthalmology," 2023, The Lancet Digital Health

Best Publications

  • Development and Validation of a Deep Learning System for Diabetic Retinopathy and Related Eye Diseases Using Retinal Images From Multiethnic Populations With Diabetes.

    Daniel Shu Wei Ting;Daniel Shu Wei Ting;Carol Yim Lui Cheung;Carol Yim Lui Cheung;Gilbert Lim;Gavin Siew Wei Tan;Gavin Siew Wei Tan

  • Retinal nerve fiber layer imaging with spectral-domain optical coherence tomography: a variability and diagnostic performance study.

    Christopher Kai-shun Leung;Carol Yim-lui Cheung;Robert N. Weinreb;Quanliang Qiu;Quanliang Qiu

  • Retinal nerve fiber layer measurements in myopia: An optical coherence tomography study.

    Christopher Kai-Shun Leung;Christopher Kai-Shun Leung;Shaheeda Mohamed;King Sai Leung;Carol Yim-Lui Cheung

  • Spectral-Domain OCT Measurements in Alzheimer's Disease: A Systematic Review and Meta-analysis.

    Victor T.T. Chan;Zihan Sun;Shumin Tang;Li Jia Chen

  • Evaluation of retinal nerve fiber layer progression in glaucoma: a study on optical coherence tomography guided progression analysis.

    Christopher Kai-shun Leung;Christopher Kai-shun Leung;Carol Yim Lui Cheung;Robert N. Weinreb;Kunliang Qiu;Kunliang Qiu

  • Regional variations in the relationship between macular thickness measurements and myopia.

    Dennis Shun Chiu Lam;King Sai Leung;Shaheeda Mohamed;Wai-man Chan

  • Microvascular network alterations in the retina of patients with Alzheimer's disease.

    Carol Yim-lui Cheung;Yi Ting Ong;M. Kamran Ikram;Shin Yeu Ong

  • Comparison of macular thickness measurements between time domain and spectral domain optical coherence tomography.

    Christopher Kai-shun Leung;Christopher Kai-shun Leung;Carol Yim-lui Cheung;Robert N. Weinreb;Gary Lee

  • Development and Validation of a Deep Learning System to Detect Glaucomatous Optic Neuropathy Using Fundus Photographs.

    Hanruo Liu;Liu Li;I. Michael Wormstone;Chunyan Qiao

  • Retinal Vascular Tortuosity, Blood Pressure, and Cardiovascular Risk Factors

    Carol Yim-lui Cheung;Yingfeng Zheng;Wynne Hsu;Mong Li Lee

  • Retinal Microvasculature as a Model to Study the Manifestations of Hypertension

    Carol Yim-lui Cheung;M. Kamran Ikram;Charumathi Sabanayagam;Tien Yin Wong

  • Artificial Intelligence to Detect Papilledema from Ocular Fundus Photographs

    Dan Milea;Dan Milea;Raymond P. Najjar;Raymond P. Najjar;Jiang Zhubo;Daniel Ting;Daniel Ting

  • Imaging retina to study dementia and stroke

    Carol Yim-lui Cheung;M. Kamran Ikram;Christopher Chen;Tien Yin Wong

  • Quantitative and qualitative retinal microvascular characteristics and blood pressure

    Carol Y Cheung;Wan T Tay;Paul Mitchell;Jie J Wang

  • Retinal Ganglion Cell Analysis Using High-Definition Optical Coherence Tomography in Patients with Mild Cognitive Impairment and Alzheimer's Disease

    Carol Yim-lui Cheung;Yi Ting Ong;Saima Hilal;Saima Hilal;M. Kamran Ikram

  • Relationship between Retinal Nerve Fiber Layer Measurement and Signal Strength in Optical Coherence Tomography

    Carol Yim Lui Cheung;Christopher Kai Shun Leung;Christopher Kai Shun Leung;Dusheung Lin;Dusheung Lin;Chi-Pui Pang

  • Retinal Vascular Caliber Measurements: Clinical Significance, Current Knowledge and Future Perspectives

    Kamran Ikram;Yi Ting Ong;Carol Yim-Lui Cheung;Tien Yin Wong

  • OCT Angiography Metrics Predict Progression of Diabetic Retinopathy and Development of Diabetic Macular Edema: A Prospective Study.

    Zihan Sun;Fang Yao Tang;Raymond Wong;Jerry Lok

  • Retinal vascular tortuosity in persons with diabetes and diabetic retinopathy.

    M. B. Sasongko;T. Y. Wong;T. Y. Wong;T. T. Nguyen;C. Y. Cheung

  • Retinal Vascular Caliber as a Biomarker for Diabetes Microvascular Complications

    Kamran Ikram;Carol Yim-Lui Cheung;Maria Lorenzi;Ronald Klein

Frequent Co-Authors

Tien Yin Wong
Tien Yin Wong Tsinghua University
Tin Aung
Tin Aung National University of Singapore
Ching-Yu Cheng
Ching-Yu Cheng National University of Singapore
Christopher Chen
Christopher Chen National University of Singapore
Jie Jin Wang
Jie Jin Wang University of Sydney
Paul Mitchell
Paul Mitchell University of Sydney
Seang-Mei Saw
Seang-Mei Saw National University of Singapore
Dennis S.C. Lam
Dennis S.C. Lam Chinese University of Hong Kong, Shenzhen
Jiang Liu
Jiang Liu Southern University of Science and Technology
Robert N. Weinreb
Robert N. Weinreb University of California, San Diego

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