World's Best Scientists 2026 revealed!

D-Index & Metrics

Medicine

D-Index
114
Citations
61712
World Ranking
4648
National Ranking
2525

Yi Li 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 Li 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: 978 publications — 94th percentile

94% of scientists in this discipline score the same or lower.

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

Yi Li 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 Li 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: 114 D-Index — 77th percentile

77% of scientists in this discipline score the same or lower.

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

Overview

Yi Li is affiliated with the University of Michigan-Ann Arbor in the United States. Their research spans primarily the field of Medicine, with a focus on areas including Cardiology and Cardiovascular Medicine, Molecular Biology, Surgery, Radiology, Nuclear Medicine and Imaging, and Neurology. This diverse scope reflects a multidisciplinary approach to medical science.

The scientist has contributed to several recent publications in notable journals, which include:

  • Neuroimaging manifestations in children with SARS-CoV-2 infection: a multinational, multicentre collaborative study (2020), The Lancet Child & Adolescent Health
  • Association of systemic immune inflammatory index with all-cause and cause-specific mortality in hypertensive individuals: Results from NHANES (2023), Frontiers in Immunology
  • Circular RNA SAMD4A controls adipogenesis in obesity through the miR-138-5p/EZH2 axis (2020), Theranostics
  • Robust Myelination of Regenerated Axons Induced by Combined Manipulations of GPR17 and Microglia (2020), Neuron
  • Ternary ordered assembled piezoelectric composite for self-powered ammonia detection (2024), Nano Energy

Yi Li frequently collaborates with several researchers, including:

  • Yaling Han
  • Liangdong Zhou
  • Mony J. de Leon
  • Tracy Butler
  • Gloria Chiang

The scientist's publication record shows a preference for certain academic venues, reflecting areas of ongoing research interest and influence. These venues include:

  • Alzheimer s & Dementia
  • Research Square (Research Square)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Frontiers in Aging Neuroscience
  • arXiv (Cornell University)

Yi Li's work addresses several main research topics, highlighting key areas of study and application within medicine. These topics are:

  • Cerebrospinal fluid and hydrocephalus
  • Acute Myocardial Infarction Research
  • Antiplatelet Therapy and Cardiovascular Diseases
  • Advanced Neuroimaging Techniques and Applications
  • Dementia and Cognitive Impairment Research
  • Cardiac Imaging and Diagnostics
  • Coronary Interventions and Diagnostics

Best Publications

  • US Renal Data System 2016 Annual Data Report: Epidemiology of Kidney Disease in the United States

    Rajiv Saran;Bruce Robinson;Kevin C. Abbott;Lawrence Y.C. Agodoa

  • US Renal Data System 2015 Annual Data Report: Epidemiology of Kidney Disease in the United States.

    Rajiv Saran;Yi Li;Bruce Robinson;Kevin C. Abbott

  • Knowledge, attitudes, and practices towards COVID-19 among Chinese residents during the rapid rise period of the COVID-19 outbreak: a quick online cross-sectional survey.

    Bao Liang Zhong;Wei Luo;Hai Mei Li;Qian Qian Zhang

  • US Renal Data System 2014 Annual Data Report: Epidemiology of Kidney Disease in the United States

    Rajiv Saran;Yi Li;Bruce Robinson;John Ayanian

  • The mental health of medical workers in Wuhan, China dealing with the 2019 novel coronavirus.

    Lijun Kang;Yi Li;Shaohua Hu;Min Chen

  • An Intergroup Phase III Comparison of Standard Radiation Therapy and Two Schedules of Concurrent Chemoradiotherapy in Patients With Unresectable Squamous Cell Head and Neck Cancer

    David J. Adelstein;Yi Li;George L. Adams;Henry Wagner

  • Image processing and analysis methods for the Adolescent Brain Cognitive Development Study.

    Donald J. Hagler;Sean N. Hatton;M. Daniela Cornejo;Carolina Makowski

  • Measuring sleep: accuracy, sensitivity, and specificity of wrist actigraphy compared to polysomnography.

    Miguel Marino;Miguel Marino;Yi Li;Michael N. Rueschman;J. W. Winkelman

  • Evidence that transgenes encoding components of the Wnt signaling pathway preferentially induce mammary cancers from progenitor cells

    Yi Li;Bryan Welm;Katrina Podsypanina;Shixia Huang

  • Randomized Phase III Evaluation of Cisplatin Plus Fluorouracil Versus Cisplatin Plus Paclitaxel in Advanced Head and Neck Cancer (E1395): An Intergroup Trial of the Eastern Cooperative Oncology Group

    Michael K. Gibson;Yi Li;Barbara Murphy;Maha H.A. Hussain

  • FDG-PET changes in brain glucose metabolism from normal cognition to pathologically verified Alzheimer's disease

    Lisa Mosconi;Rachel Mistur;Remigiusz Switalski;Wai Hon Tsui;Wai Hon Tsui

  • Reduced hippocampal metabolism in MCI and AD Automated FDG-PET image analysis

    L. Mosconi;W. H. Tsui;S. De Santi;J. Li

  • The Genetic Map of Artemisia annua L. Identifies Loci Affecting Yield of the Antimalarial Drug Artemisinin

    Ian A. Graham;Katrin Besser;Susan Blumer;Caroline A. Branigan

  • Induction of ovarian cancer by defined multiple genetic changes in a mouse model system

    Sandra Orsulic;Yi Li;Robert A. Soslow;Lynn A. Vitale-Cross

  • Endothelial infection with KSHV genes in vivo reveals that vGPCR initiates Kaposi's sarcomagenesis and can promote the tumorigenic potential of viral latent genes

    Silvia Montaner;Akrit Sodhi;Akrit Sodhi;Alfredo Molinolo;Thomas H Bugge

  • A fibrillar collagen gene, Col11a1, is essential for skeletal morphogenesis

    Y Li;D.A Lacerda;M.L Warman;D.R Beier

  • Characterization of infectious molecular clones of simian immunodeficiency virus (SIVmac) and human immunodeficiency virus type 2: persistent infection of rhesus monkeys with molecularly cloned SIVmac.

    Y M Naidu;H W Kestler;Y Li;C V Butler

  • Hippocampal hypometabolism predicts cognitive decline from normal aging.

    Lisa Mosconi;Susan De Santi;Juan Li;Wai Hon Tsui;Wai Hon Tsui

  • Prevalence of kidney stones in China: an ultrasonography based cross-sectional study

    Guohua Zeng;Zanlin Mai;Shujie Xia;Zhiping Wang

  • US Renal Data System 2016 Annual Data Report: Epidemiology of Kidney Disease in the United States (vol 69, pg s7, 2017)

    Rajiv Saran;Bruce Robinson;Kevin C Abbott;Lawrence Yc Agodoa

Frequent Co-Authors

Mony J. de Leon
Mony J. de Leon Cornell University
Lidia Glodzik
Lidia Glodzik Cornell University
Xiangshui Miao
Xiangshui Miao Huazhong University of Science and Technology
Henry Rusinek
Henry Rusinek New York University
John D. Murray
John D. Murray Yale University
Kaj Blennow
Kaj Blennow University of Gothenburg
Marshall R. Posner
Marshall R. Posner Icahn School of Medicine at Mount Sinai
Henrik Zetterberg
Henrik Zetterberg University of Gothenburg
Susan G. Hilsenbeck
Susan G. Hilsenbeck Baylor College of Medicine
Ting-Chang Chang
Ting-Chang Chang National Sun Yat-sen University

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