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Genetics
Singapore
2026
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Genetics and Molecular Biology
Singapore
2024

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Medicine 102 7518 7065 23 22 343 54704
Genetics 100 746 703 3 2 290 46134

Yik Ying Teo publications per year

The chart shows the history of publications by Yik Ying Teo between 2003 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Yik Ying Teo published across 23 years, from 2003 to 2025, averaging 15 papers a year. Output peaked at 39 publications in 2014. 4 of the 344 publications appeared in the last two years.

No. of publications
10 20 30
Bar chart. Horizontal axis: year, 2003 to 2025. Vertical axis: number of publications, 0 to 39. Peak 39 publications in 2014. 2003: 3 publications 2004: 3 publications 2005: 2 publications 2006: 3 publications 2007: 7 publications 2008: 7 publications 2009: 16 publications 2010: 15 publications 2011: 16 publications 2012: 22 publications 2013: 29 publications 2014: 39 publications 2015: 29 publications 2016: 32 publications 2017: 22 publications 2018: 20 publications 2019: 20 publications 2020: 20 publications 2021: 25 publications 2022: 7 publications 2023: 3 publications 2024: 3 publications 2025: 1 publication
2003 2025

344 publications in total across all disciplines

View publications per year as a table
Yik Ying Teo: publications per year, 2003 to 2025
Year Publications
2003 3
2004 3
2005 2
2006 3
2007 7
2008 7
2009 16
2010 15
2011 16
2012 22
2013 29
2014 39
2015 29
2016 32
2017 22
2018 20
2019 20
2020 20
2021 25
2022 7
2023 3
2024 3
2025 1
Total 344
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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.

No. of scientists
50 100 150 200
Bar chart with 67 bars. Horizontal axis: publications, 45–54 to 703+. Vertical axis: number of scientists, 0 to 217. Most scientists, 217, have 125–134 publications. The last bar groups every scientist with 703 publications or more. The highlighted bar, 285–294 publications, is where this scientist sits. 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
45–54 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.

View publications distribution as a table
Number of Genetics scientists by publication count, Research.com 2026 ranking edition. Based on 4,342 ranked scientists.
Publications Scientists This scientist
45–54 6
55–64 10
65–74 35
75–84 84
85–94 102
95–104 151
105–114 175
115–124 203
125–134 217
135–144 205
145–154 193
155–164 188
165–174 170
175–184 178
185–194 164
195–204 173
205–214 159
215–224 134
225–234 143
235–244 105
245–254 114
255–264 92
265–274 88
275–284 87
285–294 80 290
295–304 62
305–314 75
315–324 67
325–334 60
335–344 52
345–354 40
355–364 48
365–374 47
375–384 46
385–394 31
395–404 27
405–414 40
415–424 30
425–434 43
435–444 29
445–454 14
455–464 28
465–474 21
475–484 21
485–494 22
495–504 17
505–514 12
515–524 11
525–534 8
535–544 8
545–554 14
555–564 4
565–574 11
575–584 5
585–594 11
595–604 12
605–614 7
615–624 6
625–634 10
635–644 9
645–654 10
655–664 6
665–674 6
675–684 6
685–694 4
695–702 6
703+ 100
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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.

No. of scientists
50 100 150
Bar chart with 61 bars. Horizontal axis: D-Index, 40–41 to 160+. Vertical axis: number of scientists, 0 to 191. Most scientists, 191, have 62–63 D-Index. The last bar groups every scientist with 160 D-Index or more. The highlighted bar, 100–101 D-Index, is where this scientist sits. 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
40–41 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.

View D-Index distribution as a table
Number of Genetics scientists by D-index, Research.com 2026 ranking edition. Based on 4,342 ranked scientists.
D-Index Scientists This scientist
40–41 24
42–43 52
44–45 84
46–47 112
48–49 118
50–51 141
52–53 143
54–55 145
56–57 179
58–59 162
60–61 175
62–63 191
64–65 172
66–67 184
68–69 164
70–71 158
72–73 150
74–75 136
76–77 127
78–79 127
80–81 111
82–83 110
84–85 110
86–87 84
88–89 102
90–91 66
92–93 72
94–95 70
96–97 54
98–99 60
100–101 49 100
102–103 55
104–105 45
106–107 42
108–109 28
110–111 39
112–113 25
114–115 31
116–117 29
118–119 34
120–121 29
122–123 29
124–125 18
126–127 27
128–129 22
130–131 16
132–133 11
134–135 17
136–137 12
138–139 21
140–141 4
142–143 9
144–145 14
146–147 6
148–149 10
150–151 7
152–153 9
154–155 8
156–157 8
158–159 9
160+ 96
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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

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