World's Best Scientists 2026 revealed!

D-Index & Metrics

Genetics

D-Index
65
Citations
28379
World Ranking
2654
National Ranking
1171

Wei-Min Chen 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 Wei-Min Chen 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: 143 publications — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Wei-Min Chen 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 Wei-Min Chen 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: 65 D-Index — 39th percentile

39% of scientists in this discipline score the same or lower.

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

Overview

Wei-Min Chen is affiliated with the University of Virginia in the United States and conducts research primarily in the fields of biochemistry, genetics, and molecular biology, with a significant focus on medicine. Their work encompasses genetics, molecular biology, endocrinology, diabetes and metabolism, surgery, and immunology.

The scientist's research topics include:

  • Genetic Associations and Epidemiology
  • Diabetes and associated disorders
  • Pancreatic function and diabetes
  • Epigenetics and DNA Methylation
  • Diabetes Management and Research
  • Cancer-related molecular mechanisms research
  • Genetic and phenotypic traits in livestock

Wei-Min Chen has contributed to a number of publications in various venues. Frequent publication venues where they have appeared include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • UNC Libraries
  • Nature Communications
  • Diabetes
  • Nature Genetics

The scientist has collaborated extensively with coauthors such as Stephen S. Rich, Suna Önengüt-Gümüşcü, Brian E. Cade, Jennifer A. Brody, and Xiuqing Guo.

Notable publications by Wei-Min Chen include:

  • Genetic drivers of heterogeneity in type 2 diabetes pathophysiology, 2024, Nature
  • Clonal haematopoiesis and risk of chronic liver disease, 2023, Nature
  • Multi-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translation, 2022, Nature Genetics
  • Fine-mapping, trans-ancestral and genomic analyses identify causal variants, cells, genes and drug targets for type 1 diabetes, 2021, Nature Genetics
  • Avoiding dynastic, assortative mating, and population stratification biases in Mendelian randomization through within-family analyses, 2020, Nature Communications

Best Publications

  • Robust relationship inference in genome-wide association studies

    Ani Manichaikul;Josyf C. Mychaleckyj;Stephen S. Rich;Kathy Daly

  • Genome-wide association scan shows genetic variants in the FTO gene are associated with obesity-related traits.

    Angelo Scuteri;Serena Sanna;Wei-Min Chen;Manuela Uda

  • Analysis of shared heritability in common disorders of the brain

    Verneri Anttila;Verneri Anttila;Brendan Bulik-Sullivan;Brendan Bulik-Sullivan;Hilary K. Finucane;Raymond K. Walters;Raymond K. Walters

  • Newly identified loci that influence lipid concentrations and risk of coronary artery disease

    Cristen J. Willer;Serena Sanna;Anne U. Jackson;Angelo Scuteri

  • Variants in MTNR1B influence fasting glucose levels

    Inga Prokopenko;Claudia Langenberg;Jose C. Florez;Jose C. Florez;Richa Saxena;Richa Saxena

  • Genome-wide association study shows BCL11A associated with persistent fetal hemoglobin and amelioration of the phenotype of β-thalassemia

    Manuela Uda;Renzo Galanello;Serena Sanna;Guillaume Lettre;Guillaume Lettre

  • Fine mapping of type 1 diabetes susceptibility loci and evidence for colocalization of causal variants with lymphoid gene enhancers.

    Suna Onengut-Gumuscu;Wei-Min Chen;Oliver Burren;Nick J Cooper

  • Imputing Amino Acid Polymorphisms in Human Leukocyte Antigens

    Xiaoming Jia;Buhm Han;Buhm Han;Suna Onengut-Gumuscu;Wei Min Chen

  • Heritability of Cardiovascular and Personality Traits in 6,148 Sardinians

    Giuseppe Pilia;Wei Min Chen;Angelo Scuteri;Marco Orrú

  • Genetic risk factors for ischaemic stroke and its subtypes (the METASTROKE collaboration): a meta-analysis of genome-wide association studies.

    Matthew Traylor;Martin Farrall;Elizabeth G Holliday;Cathie Sudlow

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

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

  • Family-based association tests for genomewide association scans.

    Wei Min Chen;Gonçalo R. Abecasis

  • Dense genotyping of immune-related disease regions identifies 14 new susceptibility loci for juvenile idiopathic arthritis

    Anne Hinks;Anne Hinks;Joanna E. Cobb;Joanna E. Cobb;Miranda C. Marion;Sampath Prahalad

  • Common variants in the GDF5-UQCC region are associated with variation in human height

    Serena Sanna;Anne U. Jackson;Ramaiah Nagaraja;Cristen J. Willer

  • Impact of common genetic determinants of Hemoglobin A1c on type 2 diabetes risk and diagnosis in ancestrally diverse populations: A transethnic genome-wide meta-analysis

    Eleanor Wheeler;Aaron Leong;Ching-Ti Liu;Marie-France Hivert

  • The GLUT9 Gene Is Associated with Serum Uric Acid Levels in Sardinia and Chianti Cohorts

    Siguang Li;Serena Sanna;Andrea Maschio;Fabio Busonero

  • A meta-analysis identifies new loci associated with body mass index in individuals of African ancestry.

    Keri L. Monda;Keri L. Monda;Gary K. Chen;Kira C. Taylor;Kira C. Taylor;Cameron Palmer;Cameron Palmer

  • Trans-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translation

    Mahajan A;Spracklen Cn;Zhang W;Ng Mc

  • Fine mapping of type 1 diabetes susceptibility loci and evidence for colocalization of causal variants with lymphoid gene enhancers

    Suna Onengut-Gumuscu;Wei-Min Chen;Oliver Burren;Emily Farber

  • Genetic risk factors for ischaemic stroke and its subtypes (the METASTROKE Collaboration): a meta-analysis of genome-wide association studies | NOVA. The University of Newcastle's Digital Repository

    Matthew Traylor;Martin Farrall;Unnur Thorsteinsdottir;Mike A. Nalls

Frequent Co-Authors

Stephen S. Rich
Stephen S. Rich University of Virginia
Michèle M. Sale
Michèle M. Sale University of Virginia
Bruce M. Psaty
Bruce M. Psaty University of Washington
Josyf C. Mychaleckyj
Josyf C. Mychaleckyj University of Virginia
Mike A. Nalls
Mike A. Nalls National Institutes of Health
Gonçalo R. Abecasis
Gonçalo R. Abecasis University of Michigan–Ann Arbor
Myriam Fornage
Myriam Fornage The University of Texas Health Science Center at Houston
Patrick Concannon
Patrick Concannon University of Florida
Joel N. Hirschhorn
Joel N. Hirschhorn Boston Children's Hospital
Jerome I. Rotter
Jerome I. Rotter UCLA Medical Center

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