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D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Genetics 89 1107 1047 7 6 220 37689

Xueling Sim publications per year

The chart shows the history of publications by Xueling Sim between 2006 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Xueling Sim published across 21 years, from 2006 to 2026, averaging 14.2 papers a year. Output peaked at 28 publications in 2019. 24 of the 298 publications appeared in the last two years.

No. of publications
5 10 15 20 25
Bar chart. Horizontal axis: year, 2006 to 2026. Vertical axis: number of publications, 0 to 28. Peak 28 publications in 2019. 2006: 1 publication 2007: 0 publications 2008: 4 publications 2009: 2 publications 2010: 10 publications 2011: 17 publications 2012: 13 publications 2013: 18 publications 2014: 10 publications 2015: 6 publications 2016: 14 publications 2017: 20 publications 2018: 25 publications 2019: 28 publications 2020: 20 publications 2021: 24 publications 2022: 19 publications 2023: 23 publications 2024: 20 publications 2025: 23 publications 2026: 1 publication
2006 2026

298 publications in total across all disciplines

View publications per year as a table
Xueling Sim: publications per year, 2006 to 2026
Year Publications
2006 1
2007 0
2008 4
2009 2
2010 10
2011 17
2012 13
2013 18
2014 10
2015 6
2016 14
2017 20
2018 25
2019 28
2020 20
2021 24
2022 19
2023 23
2024 20
2025 23
2026 1
Total 298
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Xueling Sim 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 Xueling Sim 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, 215–224 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: 220 publications — 58th percentile

58% 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
215–224 134 220
225–234 143
235–244 105
245–254 114
255–264 92
265–274 88
275–284 87
285–294 80
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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Xueling Sim 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 Xueling Sim 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, 88–89 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: 89 D-Index — 75th percentile

75% 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 89
90–91 66
92–93 72
94–95 70
96–97 54
98–99 60
100–101 49
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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Overview

Xueling Sim is a researcher affiliated with the National University of Singapore. Their work is primarily situated within the fields of Biochemistry, Genetics and Molecular Biology, and Medicine. The scientist's subfields of expertise include Genetics, Molecular Biology, Physiology, Endocrinology, Diabetes and Metabolism, and Epidemiology.

Their research focuses on various topics including Genetic Associations and Epidemiology, Genomics and Rare Diseases, Liver Disease Diagnosis and Treatment, Diet and Metabolism Studies, BRCA Gene Mutations in Cancer, Diabetes, Cardiovascular Risks, and Lipoproteins, as well as Metabolomics and Mass Spectrometry Studies.

Xueling Sim has contributed to numerous publications, with recent notable papers including:

  • The trans-ancestral genomic architecture of glycemic traits (2021, Nature Genetics)
  • A saturated map of common genetic variants associated with human height (2022, Nature)
  • Discovery of rare variants associated with blood pressure regulation through meta-analysis of 1.3 million individuals (2020, Nature Genetics)
  • Pathology of Tumors Associated With Pathogenic Germline Variants in 9 Breast Cancer Susceptibility Genes (2022, JAMA Oncology)
  • Genetics in chronic kidney disease: conclusions from a Kidney Disease: Improving Global Outcomes (KDIGO) Controversies Conference (2022, Kidney International)

The scientist frequently publishes in venues such as UNC Libraries, bioRxiv (Cold Spring Harbor Laboratory), Nature Genetics, Nature Communications, and The Journal of Clinical Endocrinology & Metabolism.

Collaborations are a notable aspect of their career, with frequent co-authors including Rob M. van Dam, E Shyong Tai, Jin Fang Chai, Ching-Yu Cheng, and Jianjun Liu.

Best Publications

  • Biological, clinical and population relevance of 95 loci for blood lipids

    Tanya M. Teslovich;Kiran Musunuru;Albert V. Smith;Andrew C. Edmondson

  • 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

  • Fine-mapping type 2 diabetes loci to single-variant resolution using high-density imputation and islet-specific epigenome maps.

    Anubha Mahajan;Daniel Taliun;Matthias Thurner;Neil R. Robertson

  • 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

  • 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

  • Seven new loci associated with age-related macular degeneration

    Lars G. Fritsche;Lars G. Fritsche;Wei Chen;Wei Chen;Matthew Schu;Brian L. Yaspan

  • The trans-ancestral genomic architecture of glycemic traits

    Ji Chen;Ji Chen;Cassandra N. Spracklen;Cassandra N. Spracklen;Gaëlle Marenne;Gaëlle Marenne;Arushi Varshney

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

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

  • 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

  • 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

  • Exome-wide association study of plasma lipids in > 300,000 individuals

    Dajiang J Liu;Gina M Peloso;Gina M Peloso;Haojie Yu;Adam S Butterworth;Adam S Butterworth

  • Novel Loci for Adiponectin Levels and Their Influence on Type 2 Diabetes and Metabolic Traits: A Multi-Ethnic Meta-Analysis of 45,891 Individuals

    Z Dastani;Hivert M-F.;Hivert M-F.;N Timpson;Perry Jrb.;Perry Jrb.

  • Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function

    Cristian Pattaro;Alexander Teumer;Mathias Gorski;Audrey Y. Chu

  • Distribution and Medical Impact of Loss-of-Function Variants in the Finnish Founder Population

    Elaine T. Lim;Peter Würtz;Peter Würtz;Peter Würtz;Aki S. Havulinna;Priit Palta;Priit Palta

  • The genetics of blood pressure regulation and its target organs from association studies in 342,415 individuals

    Georg B. Ehret;Georg B. Ehret;Teresa Ferreira;Daniel I. Chasman;Anne U. Jackson

  • Meta-analysis identifies common variants associated with body mass index in east Asians

    Wanqing Wen;Yoon Shin Cho;Wei Zheng;Rajkumar Dorajoo;Rajkumar Dorajoo

  • 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
Jianjun Liu
Jianjun Liu Genome Institute of Singapore
John C. Chambers
John C. Chambers Guy's and St Thomas' NHS Foundation Trust
Jaspal S. Kooner
Jaspal S. Kooner Imperial College London
Weihua Zhang
Weihua Zhang Imperial College London
Andrew P. Morris
Andrew P. Morris University of Liverpool
Chiea Chuen Khor
Chiea Chuen Khor Agency for Science, Technology and Research
Yik Ying Teo
Yik Ying Teo National University of Singapore
Ching-Yu Cheng
Ching-Yu Cheng National University of Singapore

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Related Online Degrees & Career Pathways

For students passionate about Genetics, there are a variety of related online degrees and career pathways to explore in allied healthcare fields. One popular option for those seeking entry-level roles is to take medical coding courses. These courses can open doors to medical records and health information positions, which are in demand across hospitals and clinics.

If you are looking for a clinical pathway, some of the easiest nursing schools to get into now offer flexible online learning options. This can be ideal for those who want to blend a genetics background with hands-on patient care.

For those interested in leadership or administration, consider enrolling in healthcare administration degree programs. These programs provide valuable skills in healthcare management and policy—perfect for Genetics graduates aiming for supervisory roles. To maximize affordability and accreditation, look for a healthcare administration degree online accredited, which can further enhance your credentials and open up more career opportunities.

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