World's Best Scientists 2026 revealed!
Jin-Tai Yu

Jin-Tai Yu

D-Index & Metrics

Medicine

D-Index
103
Citations
37811
World Ranking
7388
National Ranking
83

Jin-Tai Yu 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 Jin-Tai Yu 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: 553 publications — 66th percentile

66% of scientists in this discipline score the same or lower.

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

Jin-Tai Yu 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 Jin-Tai Yu 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: 103 D-Index — 65th percentile

65% of scientists in this discipline score the same or lower.

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

Overview

Jin-Tai Yu is a researcher affiliated with Fudan University in China, specializing primarily in the field of Medicine, with an emphasis on physiology, neurology, psychiatry and mental health, molecular biology, and genetics. Their scholarly work is mainly concentrated on Alzheimer's disease research and treatments, dementia and cognitive impairment research, neurological disease mechanisms and treatments, genetic associations and epidemiology, Parkinson's disease mechanisms and treatments, neuroinflammation and neurodegeneration mechanisms, as well as diet and metabolism studies.

Their frequent publication venues include:

  • Alzheimer s & Dementia
  • Journal of Alzheimer s Disease
  • Research Square (Research Square)
  • Neurology
  • Alzheimer s Research & Therapy

Significant recent papers authored or co-authored by Jin-Tai Yu include:

  • Evidence-based prevention of Alzheimer's disease: systematic review and meta-analysis of 243 observational prospective studies and 153 randomised controlled trials, 2020, Journal of Neurology Neurosurgery & Psychiatry
  • Blood Pressure and Risks of Cognitive Impairment and Dementia, 2020, Hypertension
  • Tauopathies: new perspectives and challenges, 2022, Molecular Neurodegeneration
  • White matter hyperintensities and risks of cognitive impairment and dementia: A systematic review and meta-analysis of 36 prospective studies, 2020, Neuroscience & Biobehavioral Reviews
  • Association of body mass index with risk of cognitive impairment and dementia: A systematic review and meta-analysis of prospective studies, 2020, Neuroscience & Biobehavioral Reviews

Frequent co-authors contributing to Jin-Tai Yu's research include:

  • Lan Tan
  • Qiang Dong
  • Xue-Ning Shen
  • Ya-Hui Ma
  • Wei Xu

The scope of Jin-Tai Yu's research integrates multiple subfields of medical science, reflecting a multidisciplinary approach to understanding and addressing neurological diseases and age-related cognitive disorders.

Best Publications

  • Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition)

    Daniel J. Klionsky;Kotb Abdelmohsen;Akihisa Abe;Joynal Abedin

  • Role of pro-inflammatory cytokines released from microglia in Alzheimer's disease.

    Wen-Ying Wang;Meng-Shan Tan;Jin-Tai Yu;Lan Tan

  • The prevalence of neuropsychiatric symptoms in Alzheimer's disease: Systematic review and meta-analysis

    Qing-Fei Zhao;Lan Tan;Lan Tan;Lan Tan;Hui-Fu Wang;Teng Jiang

  • Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition)

    Daniel J. Klionsky;Kotb Abdelmohsen;Akihisa Abe;Joynal Abedin

  • Meta-analysis of modifiable risk factors for Alzheimer's disease

    Wei Xu;Lan Tan;Hui-Fu Wang;Teng Jiang

  • Post-stroke cognitive impairment: epidemiology, mechanisms and management

    Jia-Hao Sun;Lan Tan;Jin-Tai Yu

  • Efficacy and safety of donepezil, galantamine, rivastigmine, and memantine for the treatment of Alzheimer's disease: a systematic review and meta-analysis.

    Chen-Chen Tan;Jin-Tai Yu;Hui-Fu Wang;Meng-Shan Tan

  • Apolipoprotein E in Alzheimer's Disease: An Update

    Jin-Tai Yu;Lan Tan;John Hardy

  • Evidence-based prevention of Alzheimer's disease: systematic review and meta-analysis of 243 observational prospective studies and 153 randomised controlled trials

    Jin-Tai Yu;Wei Xu;Chen-Chen Tan;Sandrine Andrieu

  • Diabetes mellitus and risks of cognitive impairment and dementia: A systematic review and meta-analysis of 144 prospective studies.

    Mei Xue;Wei Xu;Ya-Nan Ou;Xi-Peng Cao

  • Amyloid-β induces NLRP1-dependent neuronal pyroptosis in models of Alzheimer's disease.

    Tan Ms;Tan L;Jiang T;Zhu Xc

  • Risk factors for predicting progression from mild cognitive impairment to Alzheimer’s disease: a systematic review and meta-analysis of cohort studies

    Jie-Qiong Li;Lan Tan;Hui-Fu Wang;Meng-Shan Tan

  • Upregulation of TREM2 Ameliorates Neuropathology and Rescues Spatial Cognitive Impairment in a Transgenic Mouse Model of Alzheimer's Disease

    Teng Jiang;Lan Tan;Xi-Chen Zhu;Qiao-Quan Zhang

  • Advances in progressive supranuclear palsy: new diagnostic criteria, biomarkers, and therapeutic approaches.

    Adam L Boxer;Jin-Tai Yu;Lawrence I Golbe;Irene Litvan

  • The Prevalence of Dementia: A Systematic Review and Meta-Analysis.

    Qing Cao;Chen-Chen Tan;Wei Xu;Hao Hu

  • Inflammatory markers in Alzheimer's disease and mild cognitive impairment: A meta-analysis and systematic review of 170 studies

    Xue‐Ning Shen;Xue‐Ning Shen;Li‐Dong Niu;Yanjiang Wang;Xi‐Peng Cao

  • Cognitive Reserve and Alzheimer’s Disease

    Wei Xu;Jin-Tai Yu;Jin-Tai Yu;Jin-Tai Yu;Meng-Shan Tan;Meng-Shan Tan;Lan Tan;Lan Tan;Lan Tan

  • The NLRP3 Inflammasome in Alzheimer’s Disease

    Meng-Shan Tan;Jin-Tai Yu;Jin-Tai Yu;Jin-Tai Yu;Teng Jiang;Xi-Chen Zhu

  • Acute metformin preconditioning confers neuroprotection against focal cerebral ischaemia by pre-activation of AMPK-dependent autophagy.

    Teng Jiang;Jin-Tai Yu;Jin-Tai Yu;Jin-Tai Yu;Xi-Chen Zhu;Hui-Fu Wang

  • Anti-inflammatory drugs and risk of Alzheimer's disease: an updated systematic review and meta-analysis.

    Jun Wang;Lan Tan;Hui-Fu Wang;Chen-Chen Tan

Frequent Co-Authors

Lan Tan
Lan Tan Qingdao University
Teng Jiang
Teng Jiang Nanjing Medical University
John Suckling
John Suckling University of Cambridge
Daoqiang Zhang
Daoqiang Zhang Nanjing University of Aeronautics and Astronautics
Vincent Mok
Vincent Mok Chinese University of Hong Kong
An Pan
An Pan Huazhong University of Science and Technology
Paul S. Aisen
Paul S. Aisen University of Southern California
Anis Larbi
Anis Larbi Agency for Science, Technology and Research
Yong Liu
Yong Liu Beijing University of Posts and Telecommunications
Günter U. Höglinger
Günter U. Höglinger Ludwig Maximilian University of Munich

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