World's Best Scientists 2026 revealed!
Jennifer L. Moran

Jennifer L. Moran

D-Index & Metrics

Genetics

D-Index
67
Citations
58318
World Ranking
2466
National Ranking
1104

Jennifer L. Moran 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 Jennifer L. Moran 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: 134 publications — 23rd percentile

23% of scientists in this discipline score the same or lower.

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

Jennifer L. Moran 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 Jennifer L. Moran 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: 67 D-Index — 43rd percentile

43% of scientists in this discipline score the same or lower.

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

Overview

Jennifer L. Moran is affiliated with the Broad Institute in the United States. Their research spans several interconnected fields, with a primary focus on medicine and biochemistry, genetics, and molecular biology.

The scientist's work extensively covers genetics and related subfields, including epidemiology and molecular biology, with additional interests in infectious diseases and rehabilitation.

Key topics addressed in their research include:

  • Genomics and Rare Diseases
  • Genetic Associations and Epidemiology
  • Ubiquitin and Proteasome Pathways
  • Genetics and Neurodevelopmental Disorders
  • Acute Ischemic Stroke Management
  • Autophagy in Disease and Therapy
  • Tuberculosis Research and Epidemiology

Jennifer L. Moran has published in various prominent venues, with the most frequent being UNC Libraries. Other publication venues include:

  • Stroke
  • Molecular Psychiatry
  • Nature Neuroscience
  • Developmental Cell

Their recent notable papers demonstrate a breadth of topics and contributions in multiple areas of biomedicine and molecular research:

  • Exome sequencing in schizophrenia-affected parent-offspring trios reveals risk conferred by protein-coding de novo mutations, 2020, Nature Neuroscience
  • Functional Diversification of SRSF Protein Kinase to Control Ubiquitin-Dependent Neurodevelopmental Signaling, 2020, Developmental Cell
  • Duration of Exposure Among Close Contacts of Patients With Infectious Tuberculosis and Risk of Latent Tuberculosis Infection, 2020, Clinical Infectious Diseases
  • High-throughput matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) mass spectrometry-based deubiquitylating enzyme assay for drug discovery, 2020, Nature Protocols
  • Predictors of Outcomes in Patients With Mild Ischemic Stroke Symptoms: MaRISS, 2021, Stroke

Collaboration is a notable aspect of the scientist's work, with frequent co-authors including Steven A. McCarroll, Benjamin M. Neale, Pamela Sklar, Shaun Purcell, and Giulio Genovese. These collaborations indicate active engagement in large-scale genetic studies and interdisciplinary teams.

Best Publications

  • Biological insights from 108 schizophrenia-associated genetic loci

    Stephan Ripke;Stephan Ripke;Benjamin M. Neale;Benjamin M. Neale;Aiden Corvin;James T. R. Walters

  • Common polygenic variation contributes to risk of schizophrenia and bipolar disorder

    Shaun M. Purcell;Shaun M. Purcell;Naomi R. Wray;Jennifer L. Stone;Jennifer L. Stone;Peter M. Visscher

  • Clonal Hematopoiesis and Blood-Cancer Risk Inferred from Blood DNA Sequence

    Giulio Genovese;Anna K. Kähler;Robert E. Handsaker;Johan Lindberg

  • An integrated encyclopedia of DNA elements in the human genome

    Ian Dunham;Anshul Kundaje;Shelley F. Aldred;Patrick J. Collins

  • Genetic relationship between five psychiatric disorders estimated from genome-wide SNPs

    S. Hong Lee;Stephan Ripke;Stephan Ripke;Benjamin M. Neale;Benjamin M. Neale;Stephen V. Faraone

  • Discovery of the first genome-wide significant risk loci for attention deficit/hyperactivity disorder

    Ditte Demontis;Ditte Demontis;Raymond K Walters;Raymond K Walters;Joanna Martin;Joanna Martin;Joanna Martin;Manuel Mattheisen

  • Large-Scale Exome Sequencing Study Implicates Both Developmental and Functional Changes in the Neurobiology of Autism

    F. Kyle Satterstrom;F. Kyle Satterstrom;Jack A. Kosmicki;Jiebiao Wang;Michael S. Breen

  • De novo mutations in schizophrenia implicate synaptic networks

    Menachem Fromer;Andrew Pocklington;David Kavanagh;Hywel John Williams

  • Genome-wide association analysis identifies 13 new risk loci for schizophrenia

    Stephan Ripke;Stephan Ripke;Colm T. O'Dushlaine;Kimberly D. Chambert;Jennifer L. Moran

  • A polygenic burden of rare disruptive mutations in schizophrenia

    Shaun M Purcell;Jennifer L Moran;Menachem Fromer;Douglas Ruderfer

  • Large-scale genome-wide association analysis of bipolar disorder identifies a new susceptibility locus near ODZ4

    Pamela Sklar;Pamela Sklar;Stephan Ripke;Stephan Ripke;Laura J. Scott;Ole A. Andreassen

  • Modeling Linkage Disequilibrium Increases Accuracy of Polygenic Risk Scores

    Bjarni J. Vilhjálmsson;Jian Yang;Hilary K. Finucane;Alexander Gusev

  • Genome-wide association study of more than 40,000 bipolar disorder cases provides new insights into the underlying biology

    Niamh Mullins;Andreas J. Forstner;Andreas J. Forstner;Andreas J. Forstner;Kevin S. O'Connell;Kevin S. O'Connell;Brandon Coombes

  • Genomic Relationships, Novel Loci, and Pleiotropic Mechanisms across Eight Psychiatric Disorders

    Phil H. Lee;Verneri Anttila;Hyejung Won;Yen-Chen A. Feng

  • Contribution of copy number variants to schizophrenia from a genome-wide study of 41,321 subjects

    Christian R Marshall;Daniel P Howrigan;Daniel P Howrigan;Daniele Merico;Bhooma Thiruvahindrapuram

  • De Novo CNV Analysis Implicates Specific Abnormalities of Postsynaptic Signalling Complexes in the Pathogenesis of Schizophrenia

    George Kirov;Andrew Pocklington;Peter Alan Holmans;Dobril Ivanov

  • Genomic Dissection of Bipolar Disorder and Schizophrenia, Including 28 Subphenotypes

    Douglas M. Ruderfer;Stephan Ripke;Stephan Ripke;Stephan Ripke;Andrew McQuillin;James Boocock

  • Psychiatric genome-wide association study analyses implicate neuronal, immune and histone pathways

    Colm O'Dushlaine;Lizzy Rossin;Phil H. Lee;Laramie Duncan;Laramie Duncan

  • Discovery and Statistical Genotyping of Copy-Number Variation from Whole-Exome Sequencing Depth

    Menachem Fromer;Jennifer L. Moran;Kimberly Chambert;Eric Banks

  • Genome wide meta-analysis identifies genomic relationships, novel loci, and pleiotropic mechanisms across eight psychiatric disorders

    Lee Ph;Anttila;Won H

Frequent Co-Authors

Shaun Purcell
Shaun Purcell Harvard Medical School
Steven A. McCarroll
Steven A. McCarroll Harvard University
Pamela Sklar
Pamela Sklar Icahn School of Medicine at Mount Sinai
Patrick F. Sullivan
Patrick F. Sullivan University of North Carolina at Chapel Hill
Benjamin M. Neale
Benjamin M. Neale Harvard University
Douglas M. Ruderfer
Douglas M. Ruderfer Vanderbilt University Medical Center
Michael Conlon O'Donovan
Michael Conlon O'Donovan Cardiff University
Stephan Ripke
Stephan Ripke Massachusetts General Hospital
Michael John Owen
Michael John Owen Cardiff University
Sarah E. Bergen
Sarah E. Bergen Karolinska Institute

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