World's Best Scientists 2026 revealed!
Anne H. O’Donnell-Luria

Anne H. O’Donnell-Luria

D-Index & Metrics

Genetics

D-Index
51
Citations
35731
World Ranking
3818
National Ranking
1646

Anne H. O’Donnell-Luria 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 Anne H. O’Donnell-Luria 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: 212 publications — 55th percentile

55% of scientists in this discipline score the same or lower.

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

Anne H. O’Donnell-Luria 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 Anne H. O’Donnell-Luria 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: 51 D-Index — 12th percentile

12% of scientists in this discipline score the same or lower.

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

Overview

Anne H. O'Donnell-Luria is affiliated with the Broad Institute in the United States. Their research focuses on genetics and molecular biology, with a significant contribution to the fields of genomics and rare diseases, genomic variations, genetic associations, and cancer genomics.

The main fields of study in their work include biochemistry, genetics, and molecular biology. More specifically, their subfield contributions cover:

  • Genetics
  • Molecular Biology
  • Cancer Research
  • Cell Biology
  • Pediatrics, Perinatology and Child Health

The primary research topics addressed by Anne H. O'Donnell-Luria are:

  • Genomics and Rare Diseases
  • Genomic variations and chromosomal abnormalities
  • Genetics and Neurodevelopmental Disorders
  • Cancer Genomics and Diagnostics
  • RNA modifications and cancer
  • Genetic Associations and Epidemiology
  • Genomics and Phylogenetic Studies

The scientist has published extensively, with contributions appearing frequently in several venues, including:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Genetics in Medicine Open
  • The American Journal of Human Genetics
  • Genetics in Medicine
  • Nature

Notable recent publications include:

  • The mutational constraint spectrum quantified from variation in 141,456 humans (2020, Nature)
  • A structural variation reference for medical and population genetics (2020, Nature)
  • Calibration of computational tools for missense variant pathogenicity classification and ClinGen recommendations for PP3/BP4 criteria (2022, The American Journal of Human Genetics)
  • A genome-wide mutational constraint map quantified from variation in 76,156 human genomes (2022, bioRxiv [Cold Spring Harbor Laboratory])
  • Using the ACMG/AMP framework to capture evidence related to predicted and observed impact on splicing: Recommendations from the ClinGen SVI Splicing Subgroup (2023, The American Journal of Human Genetics)

Anne H. O'Donnell-Luria frequently collaborates with other researchers, including:

  • Heidi L. Rehm
  • Daniel G. MacArthur
  • Lynn Pais
  • Ben Weisburd
  • Christina Austin-Tse

The scope of Anne H. O'Donnell-Luria's work spans multiple aspects of genetic variation and its implications in human health, with a solid foundation in molecular biology techniques and computational methods related to genomic data. Their contributions have integrated experimental and analytical approaches to better understand genetic diseases and genomic structures.

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

  • The mutational constraint spectrum quantified from variation in 141,456 humans

    Konrad J. Karczewski;Laurent C. Francioli;Grace Tiao;Beryl B. Cummings

  • 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

  • Improving genetic diagnosis in Mendelian disease with transcriptome sequencing

    Beryl B. Cummings;Beryl B. Cummings;Jamie L. Marshall;Jamie L. Marshall;Taru Tukiainen;Taru Tukiainen;Monkol Lek

  • Quantifying prion disease penetrance using large population control cohorts

    Eric Vallabh Minikel;Eric Vallabh Minikel;Sonia M. Vallabh;Sonia M. Vallabh;Monkol Lek;Monkol Lek;Karol Estrada;Karol Estrada

  • Using high-resolution variant frequencies to empower clinical genome interpretation

    Nicola Whiffin;Nicola Whiffin;Eric Minikel;Eric Minikel;Roddy Walsh;Roddy Walsh;Anne H O’Donnell-Luria;Anne H O’Donnell-Luria

  • Variant interpretation using population databases: lessons from gnomAD

    Sanna Gudmundsson;Moriel Singer-Berk;Nicholas A Watts;William Phu

  • Human knockouts and phenotypic analysis in a cohort with a high rate of consanguinity.

    Danish Saleheen;Pradeep Natarajan;Pradeep Natarajan;Irina M. Armean;Irina M. Armean;Wei Zhao

  • Regional missense constraint improves variant deleteriousness prediction

    Samocha Ke;Kosmicki Ja;Karczewski Kj;Karczewski Kj;O’Donnell-Luria Ah;O’Donnell-Luria Ah;O’Donnell-Luria Ah

  • Health and population effects of rare gene knockouts in adult humans with related parents.

    Vagheesh M. Narasimhan;Karen A. Hunt;Dan Mason;Christopher L. Baker

  • Mammalian cytosine methylation at a glance.

    Steen K. T. Ooi;Anne H. O'Donnell;Timothy H. Bestor

  • Hyperconserved CpG domains underlie Polycomb-binding sites

    Amos Tanay;Anne H. O'Donnell;Marc Damelin;Timothy H. Bestor

  • The Genetic Landscape of Diamond-Blackfan Anemia.

    Jacob C. Ulirsch;Jacob C. Ulirsch;Jeffrey M. Verboon;Jeffrey M. Verboon;Shideh Kazerounian;Michael H. Guo

  • Chromatin and sequence features that define the fine and gross structure of genomic methylation patterns

    John R. Edwards;Anne H. O'Donnell;Robert A. Rollins;Heather E. Peckham

  • Transcript expression-aware annotation improves rare variant interpretation

    Beryl B Cummings;Beryl B Cummings;Konrad J Karczewski;Konrad J Karczewski;Jack A Kosmicki;Jack A Kosmicki;Eleanor G Seaby;Eleanor G Seaby

  • Insights into genetics, human biology and disease gleaned from family based genomic studies.

    Jennifer E. Posey;Anne H. O’Donnell-Luria;Anne H. O’Donnell-Luria;Anne H. O’Donnell-Luria;Jessica X. Chong;Tamar Harel

  • Evaluating potential drug targets through human loss-of-function genetic variation

    EV Minikel;KJ Karczewski;KJ Karczewski;HC Martin;BB Cummings;BB Cummings

  • Estimating the selective effects of heterozygous protein-truncating variants from human exome data

    Christopher A Cassa;Christopher A Cassa;Donate Weghorn;Daniel J Balick;Daniel M Jordan

  • Landscape of multi-nucleotide variants in 125,748 human exomes and 15,708 genomes

    Qingbo Wang;Qingbo Wang;Emma Pierce-Hoffman;Beryl B Cummings;Beryl B Cummings;Jessica Alföldi;Jessica Alföldi

  • The effect of LRRK2 loss-of-function variants in humans

    Nicola Whiffin;Nicola Whiffin;Irina M Armean;Irina M Armean;Aaron Kleinman;Jamie L Marshall

Frequent Co-Authors

Daniel G. MacArthur
Daniel G. MacArthur Garvan Institute of Medical Research
Konrad J. Karczewski
Konrad J. Karczewski Harvard University
Jessica Alföldi
Jessica Alföldi Broad Institute
Mark J. Daly
Mark J. Daly Massachusetts General Hospital
Harrison Brand
Harrison Brand Harvard University
Namrata Gupta
Namrata Gupta Broad Institute
Heidi L. Rehm
Heidi L. Rehm Brigham and Women's Hospital
Michael E. Talkowski
Michael E. Talkowski Harvard University
Benjamin M. Neale
Benjamin M. Neale Harvard University
Eric S. Lander
Eric S. Lander Broad Institute

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