World's Best Scientists 2026 revealed!

D-Index & Metrics

Medicine

D-Index
102
Citations
67327
World Ranking
7485
National Ranking
22

E. Shyong Tai 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 E. Shyong Tai 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: 387 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.

E. Shyong Tai 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 E. Shyong Tai 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: 102 D-Index — 63rd percentile

63% of scientists in this discipline score the same or lower.

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

Overview

E. Shyong Tai is affiliated with the National University of Singapore. Their research spans several key areas within medicine, biochemistry, genetics, and molecular biology, with a focus on genetics, physiology, molecular biology, endocrinology, diabetes, metabolism, and epidemiology.

Their work prominently covers topics such as genetic associations and epidemiology, diet and metabolism studies, metabolomics and mass spectrometry studies, liver disease diagnosis and treatment, adipose tissue and metabolism, metabolism related to diabetes and cancer, and nutritional studies and diet.

Frequent coauthors in their research include:

  • Xueling Sim
  • Rob M. van Dam
  • Ching-Yu Cheng
  • Chin Meng Khoo
  • Charumathi Sabanayagam

Their publications have appeared in notable venues including:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Nature Communications
  • Scientific Reports
  • Current Developments in Nutrition
  • UNC Libraries

Among their recent scholarly works are:

  • A deep learning algorithm to detect chronic kidney disease from retinal photographs in community-based populations, 2020, The Lancet Digital Health
  • A Randomized Controlled Trial to Evaluate the Effects of a Smartphone Application-Based Lifestyle Coaching Program on Gestational Weight Gain, Glycemic Control, and Maternal and Neonatal Outcomes in Women With Gestational Diabetes Mellitus: The SMART-GDM Study, 2020, Diabetes Care
  • An atlas of genetic scores to predict multi-omic traits, 2023, Nature
  • Neutrophil-to-Lymphocyte Ratio Predicts Development of Immune-Related Adverse Events and Outcomes from Immune Checkpoint Blockade: A Case-Control Study, 2021, Cancers
  • The Singapore National Precision Medicine Strategy, 2023, Nature Genetics

Best Publications

  • Worldwide trends in body-mass index, underweight, overweight, and obesity from 1975 to 2016: a pooled analysis of 2416 population-based measurement studies in 128·9 million children, adolescents, and adults

    Leandra Abarca-Gómez;Ziad A Abdeen;Zargar Abdul Hamid;Niveen M Abu-Rmeileh

  • Trends in adult body-mass index in 200 countries from 1975 to 2014: A pooled analysis of 1698 population-based measurement studies with 19.2 million participants

    Mariachiara Di Cesare;Mariachiara Di Cesare;James Bentham;Gretchen A Stevens;Bin Zhou

  • Worldwide trends in diabetes since 1980: a pooled analysis of 751 population-based studies with 4.4 million participants

    Bin Zhou;Yuan Lu;Kaveh Hajifathalian;James Bentham

  • Worldwide trends in hypertension prevalence and progress in treatment and control from 1990 to 2019: a pooled analysis of 1201 population-representative studies with 104 million participants

    Bin Zhou;Rodrigo M Carrillo-Larco;Goodarz Danaei;Leanne M Riley

  • Worldwide trends in blood pressure from 1975 to 2015: a pooled analysis of 1479 population-based measurement studies with 19·1 million participants

    Bin Zhou;James Bentham;Mariachiara Di Cesare;Honor Bixby

  • Genetic variants in novel pathways influence blood pressure and cardiovascular disease risk

    Georg B. Ehret;Georg B. Ehret;Georg B. Ehret;Patricia B. Munroe;Kenneth M. Rice;Murielle Bochud

  • Six new loci associated with blood low-density lipoprotein cholesterol, high-density lipoprotein cholesterol or triglycerides in humans.

    Sekar Kathiresan;Sekar Kathiresan;Olle Melander;Candace Guiducci;Aarti Surti

  • A century of trends in adult human height

    James Bentham;Mariachiara Di Cesare;Mariachiara Di Cesare;Gretchen A. Stevens;Bin Zhou

  • The genetic architecture of type 2 diabetes

    Christian Fuchsberger;Christian Fuchsberger;Jason A. Flannick;Jason A. Flannick;Tanya M. Teslovich;Anubha Mahajan

  • Can We Apply the National Cholesterol Education Program Adult Treatment Panel Definition of the Metabolic Syndrome to Asians

    Chee Eng Tan;Stefan Ma;Daniel Wai;Suok Kai Chew

  • Novel genetic associations for blood pressure identified via gene-alcohol interaction in up to 570K individuals across multiple ancestries

    Mary F. Feitosa;Aldi T. Kraja;Daniel I. Chasman;Yun J. Sung

  • Genome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility.

    Anubha Mahajan;Min Jin Go;Weihua Zhang;Jennifer E. Below

  • SNPs in KCNQ1 are associated with susceptibility to type 2 diabetes in East Asian and European populations

    Hiroyuki Unoki;Atsushi Takahashi;Takahisa Kawaguchi;Kazuo Hara

  • Cardiovascular disease, chronic kidney disease, and diabetes mortality burden of cardiometabolic risk factors from 1980 to 2010: a comparative risk assessment.

    Goodarz Danaei;Yuan Lu;Gitanjali M. Singh;Emily Carnahan

  • Meta-analysis of genome-wide association studies identifies eight new loci for type 2 diabetes in east Asians

    Yoon Shin Cho;Chien Hsiun Chen;Chien Hsiun Chen;Cheng Hu;Jirong Long

  • Physical activity attenuates the influence of FTO variants on obesity risk: A meta-analysis of 218,166 adults and 19,268 children

    Tuomas O. Kilpeläinen;Lu Qi;Soren Brage;Stephen J. Sharp

  • Meta-analysis of genome-wide association studies identifies common variants associated with blood pressure variation in east Asians

    Norihiro Kato;Fumihiko Takeuchi;Yasuharu Tabara;Tanika N. Kelly

  • Genome-wide association study in individuals of South Asian ancestry identifies six new type 2 diabetes susceptibility loci

    Jaspal S Kooner;Danish Saleheen;Xueling Sim;Joban Sehmi;Joban Sehmi

  • The genetic architecture of type 2 diabetes

    Christian Fuchsberger;Jason Flannick;Tanya M. Teslovich;Anubha Mahajan

  • Genome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility

    Anubha Mahajan;Min Jin Go;Weihua Zhang;Jennifer E. Below

Frequent Co-Authors

Tien Yin Wong
Tien Yin Wong Tsinghua University
Ching-Yu Cheng
Ching-Yu Cheng National University of Singapore
Jianjun Liu
Jianjun Liu Genome Institute of Singapore
Rob M. van Dam
Rob M. van Dam George Washington University
Xueling Sim
Xueling Sim National University of Singapore
Tin Aung
Tin Aung National University of Singapore
Chiea Chuen Khor
Chiea Chuen Khor Agency for Science, Technology and Research
Yik Ying Teo
Yik Ying Teo National University of Singapore
Jie Jin Wang
Jie Jin Wang University of Sydney
John C. Chambers
John C. Chambers Guy's and St Thomas' NHS Foundation Trust

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