World's Best Scientists 2026 revealed!
Award Badge
Genetics
Singapore
2026
Award Badge
Genetics and Molecular Biology
Singapore
2024

D-Index & Metrics

Genetics

D-Index
100
Citations
46134
World Ranking
746
National Ranking
3

Medicine

D-Index
102
Citations
54704
World Ranking
7519
National Ranking
23

Yik Ying Teo publication distribution in Genetics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Genetics in 2026. The highlighted bar marks where Yik Ying Teo sits on this spectrum.

45–54 publications: 6 scientists 55–64 publications: 10 scientists 65–74 publications: 35 scientists 75–84 publications: 84 scientists 85–94 publications: 102 scientists 95–104 publications: 151 scientists 105–114 publications: 175 scientists 115–124 publications: 203 scientists 125–134 publications: 217 scientists 135–144 publications: 205 scientists 145–154 publications: 193 scientists 155–164 publications: 188 scientists 165–174 publications: 170 scientists 175–184 publications: 178 scientists 185–194 publications: 164 scientists 195–204 publications: 173 scientists 205–214 publications: 159 scientists 215–224 publications: 134 scientists 225–234 publications: 143 scientists 235–244 publications: 105 scientists 245–254 publications: 114 scientists 255–264 publications: 92 scientists 265–274 publications: 88 scientists 275–284 publications: 87 scientists 285–294 publications: 80 scientists 295–304 publications: 62 scientists 305–314 publications: 75 scientists 315–324 publications: 67 scientists 325–334 publications: 60 scientists 335–344 publications: 52 scientists 345–354 publications: 40 scientists 355–364 publications: 48 scientists 365–374 publications: 47 scientists 375–384 publications: 46 scientists 385–394 publications: 31 scientists 395–404 publications: 27 scientists 405–414 publications: 40 scientists 415–424 publications: 30 scientists 425–434 publications: 43 scientists 435–444 publications: 29 scientists 445–454 publications: 14 scientists 455–464 publications: 28 scientists 465–474 publications: 21 scientists 475–484 publications: 21 scientists 485–494 publications: 22 scientists 495–504 publications: 17 scientists 505–514 publications: 12 scientists 515–524 publications: 11 scientists 525–534 publications: 8 scientists 535–544 publications: 8 scientists 545–554 publications: 14 scientists 555–564 publications: 4 scientists 565–574 publications: 11 scientists 575–584 publications: 5 scientists 585–594 publications: 11 scientists 595–604 publications: 12 scientists 605–614 publications: 7 scientists 615–624 publications: 6 scientists 625–634 publications: 10 scientists 635–644 publications: 9 scientists 645–654 publications: 10 scientists 655–664 publications: 6 scientists 665–674 publications: 6 scientists 675–684 publications: 6 scientists 685–694 publications: 4 scientists 695–702 publications: 6 scientists 703+ publications: 100 scientists
45 publications 703+

This scientist: 290 publications — 74th percentile

74% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 703 publications or more.

Yik Ying Teo D-index placement in Genetics in 2026

The chart shows the D-index (discipline H-index) distribution of Genetics scientists ranked by Research.com in 2026. The highlighted bar marks where Yik Ying Teo sits on this spectrum.

40–41 D-Index: 24 scientists 42–43 D-Index: 52 scientists 44–45 D-Index: 84 scientists 46–47 D-Index: 112 scientists 48–49 D-Index: 118 scientists 50–51 D-Index: 141 scientists 52–53 D-Index: 143 scientists 54–55 D-Index: 145 scientists 56–57 D-Index: 179 scientists 58–59 D-Index: 162 scientists 60–61 D-Index: 175 scientists 62–63 D-Index: 191 scientists 64–65 D-Index: 172 scientists 66–67 D-Index: 184 scientists 68–69 D-Index: 164 scientists 70–71 D-Index: 158 scientists 72–73 D-Index: 150 scientists 74–75 D-Index: 136 scientists 76–77 D-Index: 127 scientists 78–79 D-Index: 127 scientists 80–81 D-Index: 111 scientists 82–83 D-Index: 110 scientists 84–85 D-Index: 110 scientists 86–87 D-Index: 84 scientists 88–89 D-Index: 102 scientists 90–91 D-Index: 66 scientists 92–93 D-Index: 72 scientists 94–95 D-Index: 70 scientists 96–97 D-Index: 54 scientists 98–99 D-Index: 60 scientists 100–101 D-Index: 49 scientists 102–103 D-Index: 55 scientists 104–105 D-Index: 45 scientists 106–107 D-Index: 42 scientists 108–109 D-Index: 28 scientists 110–111 D-Index: 39 scientists 112–113 D-Index: 25 scientists 114–115 D-Index: 31 scientists 116–117 D-Index: 29 scientists 118–119 D-Index: 34 scientists 120–121 D-Index: 29 scientists 122–123 D-Index: 29 scientists 124–125 D-Index: 18 scientists 126–127 D-Index: 27 scientists 128–129 D-Index: 22 scientists 130–131 D-Index: 16 scientists 132–133 D-Index: 11 scientists 134–135 D-Index: 17 scientists 136–137 D-Index: 12 scientists 138–139 D-Index: 21 scientists 140–141 D-Index: 4 scientists 142–143 D-Index: 9 scientists 144–145 D-Index: 14 scientists 146–147 D-Index: 6 scientists 148–149 D-Index: 10 scientists 150–151 D-Index: 7 scientists 152–153 D-Index: 9 scientists 154–155 D-Index: 8 scientists 156–157 D-Index: 8 scientists 158–159 D-Index: 9 scientists 160+ D-Index: 96 scientists
40 D-Index 160+

This scientist: 100 D-Index — 83rd percentile

83% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 160 D-Index or more.

Research.com Recognitions

  • 2026 - Research.com Genetics in Singapore Leader Award
  • 2025 - Research.com Genetics in Singapore Leader Award
  • 2024 - Research.com Genetics and Molecular Biology in Singapore Leader Award
  • 2022 - Research.com Genetics and Molecular Biology in Singapore Leader Award

Overview

Yik Ying Teo is affiliated with the National University of Singapore in Singapore and has contributed extensively to fields involving biochemistry, genetics, molecular biology, and medicine.

Their research spans several subfields, including:

  • Genetics
  • Infectious Diseases
  • Epidemiology
  • Molecular Medicine
  • Molecular Biology

The main topics of their work cover areas such as:

  • Antibiotic Resistance in Bacteria
  • COVID-19 epidemiological studies
  • Genetic Associations and Epidemiology
  • Mycobacterium research and diagnosis
  • COVID-19 and Mental Health
  • COVID-19 Clinical Research Studies
  • SARS-CoV-2 and COVID-19 Research

Yik Ying Teo's published papers include notable works such as:

  • "Lessons learnt from easing COVID-19 restrictions: an analysis of countries and regions in Asia Pacific and Europe" (2020, The Lancet)
  • "Potential Rapid Diagnostics, Vaccine and Therapeutics for 2019 Novel Coronavirus (2019-nCoV): A Systematic Review" (2020, Journal of Clinical Medicine)
  • "Are high-performing health systems resilient against the COVID-19 epidemic?" (2020, The Lancet)
  • "Health system resilience in managing the COVID-19 pandemic: lessons from Singapore" (2020, BMJ Global Health)
  • "Severity of gastric intestinal metaplasia predicts the risk of gastric cancer: a prospective multicentre cohort study (GCEP)" (2021, Gut)

Their frequent co-authors include:

  • Li Yang Hsu
  • Yichen Ding
  • Linda Wei Lin Tan
  • Niranjan Nagarajan
  • Henning Seedorf

Yik Ying Teo publishes regularly in venues such as:

  • The Lancet
  • bioRxiv (Cold Spring Harbor Laboratory)
  • UNC Libraries
  • Microbiology Spectrum
  • BMJ Global Health

The scope of their work reflects an interdisciplinary approach combining molecular biology and epidemiological methods to address pressing public health challenges, particularly those related to infectious diseases and antibiotic resistance.

Best Publications

  • Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls

    Paul R. Burton;David G. Clayton;Lon R. Cardon;Nick Craddock

  • Global surveillance of trends in cancer survival 2000-14 (CONCORD-3): analysis of individual records for 37 513 025 patients diagnosed with one of 18 cancers from 322 population-based registries in 71 countries.

    Claudia Allemani;Tomohiro Matsuda;Veronica Di Carlo;Rhea Harewood

  • Genome-wide association study identifies eight loci associated with blood pressure

    Christopher Newton-Cheh;Christopher Newton-Cheh;Toby Johnson;Toby Johnson;Vesela Gateva;Martin D. Tobin

  • Association scan of 14,500 nonsynonymous SNPs in four diseases identifies autoimmunity variants

    Paul R Burton;David G Clayton;Lon R Cardon;Nick Craddock

  • The genetic architecture of type 2 diabetes

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

  • 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

  • A structural variation reference for medical and population genetics

    Ryan L Collins;Ryan L Collins;Harrison Brand;Harrison Brand;Konrad J Karczewski;Konrad J Karczewski;Xuefang Zhao;Xuefang Zhao

  • 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

  • Lessons learnt from easing COVID-19 restrictions: an analysis of countries and regions in Asia Pacific and Europe.

    Emeline Han;Melisa Mei Jin Tan;Eva Turk;Eva Turk;Devi Sridhar

  • Genome-Wide Association Study of Retinopathy in Individuals Without Diabetes

    Richard A. Jensen;Xueling Sim;Xiaohui Li;Mary Frances Cotch

  • Localization of type 1 diabetes susceptibility to the MHC class I genes HLA-B and HLA-A

    Sergey Nejentsev;Joanna M. M. Howson;Neil M. Walker;Jeffrey Szeszko

  • 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

  • Multiple independent variants at the TERT locus are associated with telomere length and risks of breast and ovarian cancer

    Stig E. Bojesen;Stig E. Bojesen;Karen A. Pooley;Sharon E. Johnatty;Jonathan Beesley

  • Maternal and fetal genetic effects on birth weight and their relevance to cardio-metabolic risk factors

    Nicole M Warrington;Robin N Beaumont;Momoko Horikoshi;Felix R Day

  • 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

  • Potential Rapid Diagnostics, Vaccine and Therapeutics for 2019 Novel Coronavirus (2019-nCoV): A Systematic Review

    Junxiong Pang;Min Xian Wang;Ian Yi Han Ang;Sharon Hui Xuan Tan

  • Are high-performing health systems resilient against the COVID-19 epidemic?

    Helena Legido-Quigley;Nima Asgari;Yik Ying Teo;Gabriel M Leung

  • 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
Chiea Chuen Khor
Chiea Chuen Khor Agency for Science, Technology and Research
Tin Aung
Tin Aung National University of Singapore
Ching-Yu Cheng
Ching-Yu Cheng National University of Singapore
Jianjun Liu
Jianjun Liu Genome Institute of Singapore
Xueling Sim
Xueling Sim National University of Singapore
John C. Chambers
John C. Chambers Guy's and St Thomas' NHS Foundation Trust
E. Shyong Tai
E. Shyong Tai National University of Singapore
Andrew P. Morris
Andrew P. Morris University of Liverpool

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring Genetics opens doors to a variety of rewarding careers in healthcare and research. Many students interested in Genetics also consider fields such as nursing, where online learning has made advanced education more accessible and affordable.

There are online np programs designed for those pursuing specialized practice. If cost is a major concern, cheap online nursing programs help reduce financial barriers and make education more attainable for future healthcare professionals.

For those aiming for leadership or advanced clinical roles, the best online dnp programs offer a path to a Doctor of Nursing Practice degree. Additionally, registered nurses can take advantage of the cheapest accredited online rn to bsn programs to complete their Bachelor’s degree conveniently and at a lower cost.

Combining a background in Genetics with healthcare training can lead to unique career opportunities at the intersection of research, clinical care, and innovation.

Best Scientists Citing Yik Ying Teo

Trending Scientists

Recently Published Articles