World's Best Scientists 2026 revealed!

D-Index & Metrics

Genetics

D-Index
74
Citations
52493
World Ranking
1924
National Ranking
882

Medicine

D-Index
78
Citations
53443
World Ranking
17783
National Ranking
8873

Gina M. Peloso 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 Gina M. Peloso 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: 230 publications — 61st percentile

61% of scientists in this discipline score the same or lower.

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

Gina M. Peloso 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 Gina M. Peloso 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: 74 D-Index — 56th percentile

56% of scientists in this discipline score the same or lower.

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

Overview

Gina M. Peloso is affiliated with Boston University in the United States and has a significant body of research focusing primarily on biochemistry, genetics, molecular biology, and medicine. Their work spans several specialized subfields including genetics, molecular biology, cardiology and cardiovascular medicine, surgery, and endocrinology, diabetes, and metabolism.

Their recent published papers address various topics in genomics, genetic associations, and disease risk. Notable papers include:

  • Transcriptomic signatures across human tissues identify functional rare genetic variation, 2020, Science
  • Multi-ancestry fine mapping implicates OAS1 splicing in risk of severe COVID-19, 2022, Nature Genetics
  • Genome-wide association analysis and Mendelian randomization proteomics identify drug targets for heart failure, 2023, Nature Communications
  • Non-linear machine learning models incorporating SNPs and PRS improve polygenic prediction in diverse human populations, 2022, Communications Biology
  • Mendelian randomization supports bidirectional causality between telomere length and clonal hematopoiesis of indeterminate potential, 2022, Science Advances

Frequent co-authors of Gina M. Peloso include:

  • Pradeep Natarajan (67 joint publications)
  • Stephen S. Rich (36 joint publications)
  • Joshua C. Bis (35 joint publications)
  • Myriam Fornage (33 joint publications)
  • Eric Boerwinkle (32 joint publications)

Peloso has published extensively in several prominent venues. The most frequent publication platforms are:

  • bioRxiv (Cold Spring Harbor Laboratory) with 34 publications
  • Circulation with 23 publications
  • UNC Libraries with 21 publications
  • Alzheimer's & Dementia with 11 publications
  • JAMA Cardiology with 5 publications

The main topics covered in their research include:

  • Genetic Associations and Epidemiology (118 publications)
  • Lipoproteins and Cardiovascular Health (40 publications)
  • Genomics and Rare Diseases (38 publications)
  • Bioinformatics and Genomic Networks (36 publications)
  • Diabetes, Cardiovascular Risks, and Lipoproteins (24 publications)
  • Epigenetics and DNA Methylation (22 publications)
  • Cardiovascular Health and Risk Factors (18 publications)

Best Publications

  • Analysis of protein-coding genetic variation in 60,706 humans

    Monkol Lek;Konrad J. Karczewski;Konrad J. Karczewski;Eric V. Minikel;Eric V. Minikel;Kaitlin E. Samocha

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

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

  • Discovery and refinement of loci associated with lipid levels

    Cristen J. Willer;Ellen M. Schmidt;Sebanti Sengupta;Gina M. Peloso;Gina M. Peloso;Gina M. Peloso

  • Plasma HDL cholesterol and risk of myocardial infarction: A mendelian randomisation study

    Benjamin F. Voight;Benjamin F. Voight;Benjamin F. Voight;Gina M. Peloso;Gina M. Peloso;Marju Orho-Melander;Ruth Frikke-Schmidt

  • Sequencing of 53,831 diverse genomes from the NHLBI TOPMed Program.

    Daniel Taliun;Daniel N. Harris;Michael D. Kessler;Jedidiah Carlson;Jedidiah Carlson

  • Common variants at 30 loci contribute to polygenic dyslipidemia.

    Sekar Kathiresan;Sekar Kathiresan;Sekar Kathiresan;Cristen J. Willer;Gina M. Peloso;Serkalem Demissie

  • Common variants associated with plasma triglycerides and risk for coronary artery disease

    Ron Do;Cristen J. Willer;Ellen M. Schmidt;Sebanti Sengupta

  • Genetic associations with valvular calcification and aortic stenosis.

    George Thanassoulis;George Thanassoulis;Catherine Y. Campbell;David S. Owens;J. Gustav Smith;J. Gustav Smith

  • Diagnostic Yield and Clinical Utility of Sequencing Familial Hypercholesterolemia Genes in Patients With Severe Hypercholesterolemia

    Amit V. Khera;Amit V. Khera;Hong Hee Won;Gina M. Peloso;Gina M. Peloso;Kim S. Lawson

  • Loss-of-function mutations in APOC3, triglycerides, and coronary disease

    Jacy Crosby;Gina M. Peloso;Gina M. Peloso;Paul L. Auer;David R. Crosslin

  • Exome sequencing, ANGPTL3 mutations, and familial combined hypolipidemia.

    Kiran Musunuru;James P. Pirruccello;James P. Pirruccello;James P. Pirruccello;Ron Do;Ron Do;Ron Do;Gina M. Peloso;Gina M. Peloso

  • Exome sequencing identifies rare LDLR and APOA5 alleles conferring risk for myocardial infarction

    Ron Do;Ron Do;Nathan O. Stitziel;Hong Hee Won;Hong Hee Won;Anders Berg Jørgensen

  • Genetics of blood lipids among ~300,000 multi-ethnic participants of the Million Veteran Program.

    Derek Klarin;Derek Klarin;Scott M Damrauer;Scott M Damrauer;Kelly Cho;Yan V Sun

  • 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.

  • Inactivating mutations in NPC1L1 and protection from coronary heart disease

    Nathan O. Stitziel;Hong Hee Won;Alanna C. Morrison;Gina M. Peloso

  • Rare variant in scavenger receptor BI raises HDL cholesterol and increases risk of coronary heart disease

    Zanoni P;Khetarpal Sa;Larach Db;Hancock-Cerutti Wf

  • Sequencing of 53,831 diverse genomes from the NHLBI TOPMed Program

    Daniel Taliun;Daniel N. Harris;Michael D. Kessler;Jedidiah Carlson;Jedidiah Carlson

  • Coding Variation in ANGPTL4, LPL, and SVEP1 and the Risk of Coronary Disease

    Nathan O. Stitziel;Kathleen E. Stirrups;Nicholas G. D. Masca;Jeanette Erdmann

  • Refining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes

    Anubha Mahajan;Jennifer Wessel;Sara M. Willems;Wei Zhao

Frequent Co-Authors

Sekar Kathiresan
Sekar Kathiresan Harvard University
Eric Boerwinkle
Eric Boerwinkle The University of Texas Health Science Center at Houston
L. Adrienne Cupples
L. Adrienne Cupples Boston University
Nilesh J. Samani
Nilesh J. Samani University of Leicester
John Danesh
John Danesh University of Cambridge
Cristen J. Willer
Cristen J. Willer University of Michigan–Ann Arbor
James G. Wilson
James G. Wilson University of Mississippi Medical Center
Christopher J. O'Donnell
Christopher J. O'Donnell Harvard Medical School
Jerome I. Rotter
Jerome I. Rotter UCLA Medical Center
Gonçalo R. Abecasis
Gonçalo R. Abecasis University of Michigan–Ann Arbor

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Related Online Degrees & Career Pathways

Exploring Genetics often goes hand-in-hand with understanding broader healthcare and life sciences fields. Many students interested in Genetics also consider programs in medical administration, patient care, and health information technology. These areas offer expanding career opportunities and can lay a strong foundation for those who want to work in medical research, hospital administration, or patient support roles.

For those seeking flexibility, online options are increasingly popular. If you’re interested in health data, medical coding classes can lead to roles supporting medical teams and researchers. Meanwhile, students looking for hands-on patient care often research the easiest nursing programs to get into, some of which offer online coursework.

For leadership or administrative roles in healthcare, there are comprehensive online health administration programs and a range of options for those seeking the most affordable healthcare administration degrees online. These degrees can complement Genetics studies by pairing scientific expertise with management and operational skills in medical settings.

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