World's Best Scientists 2026 revealed!

D-Index & Metrics

Genetics

D-Index
58
Citations
22263
World Ranking
3295
National Ranking
110

Penelope A. Lind 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 Penelope A. Lind 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: 170 publications — 39th percentile

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

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

Penelope A. Lind 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 Penelope A. Lind 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: 58 D-Index — 25th percentile

25% of scientists in this discipline score the same or lower.

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

Overview

Penelope A. Lind is affiliated with the QIMR Berghofer Medical Research Institute in Australia. Their research primarily focuses on areas within biochemistry, genetics, and molecular biology, with a substantial portion also involving medicine.

The scientist's work extends to several specialized subfields including genetics, psychiatry and mental health, molecular biology, pharmacology, and clinical psychology. This diverse expertise is reflected in the range of topics they cover, such as genetic associations and epidemiology, bipolar disorder and treatment, epigenetics and DNA methylation, birth, development, and health, genetic and phenotypic traits in livestock, tryptophan and brain disorders, and genetic mapping and diversity in plants and animals.

Lind has contributed to numerous recent papers published in high-impact journals. Notable publications include:

  • The genetic architecture of the human cerebral cortex, 2020, Science
  • Polygenic prediction of educational attainment within and between families from genome-wide association analyses in 3 million individuals, 2022, Nature Genetics
  • Within-sibship genome-wide association analyses decrease bias in estimates of direct genetic effects, 2022, Nature Genetics
  • A large-scale genome-wide association study meta-analysis of cannabis use disorder, 2020, The Lancet Psychiatry
  • Genome-wide association analyses of physical activity and sedentary behavior provide insights into underlying mechanisms and roles in disease prevention, 2022, Nature Genetics

The scientist frequently collaborates with a number of researchers, including Sarah E. Medland, Nicholas G. Martin, Ian B. Hickie, Scott D. Gordon, and Enda M. Byrne.

Penelope A. Lind's work is regularly published in venues such as bioRxiv (Cold Spring Harbor Laboratory), UNC Libraries, European Neuropsychopharmacology, Nature Communications, and Nature Genetics. These venues indicate an active engagement with both preprint and peer-reviewed outlets across genetics, neuropsychopharmacology, and broader biomedical research.

Best Publications

  • Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression

    Naomi R. Wray;Stephan Ripke;Stephan Ripke;Stephan Ripke;Manuel Mattheisen;MacIej Trzaskowski

  • Genome-wide association study identifies 74 loci associated with educational attainment

    Aysu Okbay;Jonathan P. Beauchamp;Mark Alan Fontana;James J. Lee

  • Genetic variants associated with subjective well-being, depressive symptoms, and neuroticism identified through genome-wide analyses

    Aysu Okbay;Bart M L Baselmans;Jan-Emmanuel De Neve;Patrick Turley

  • GWAS of 126,559 Individuals Identifies Genetic Variants Associated with Educational Attainment

    Cornelius A. Rietveld;Sarah E. Medland;Jaime Lane Derringer;Jian Yang

  • The genetic architecture of the human cerebral cortex

    Katrina L. Grasby;Neda Jahanshad;Jodie N. Painter;Lucía Colodro-Conde

  • Transancestral GWAS of alcohol dependence reveals common genetic underpinnings with psychiatric disorders

    Raymond K. Walters;Raymond K. Walters;Renato Polimanti;Emma C. Johnson;Jeanette N. McClintick

  • Genomic analyses identify hundreds of variants associated with age at menarche and support a role for puberty timing in cancer risk

    Felix R. Day;Deborah J. Thompson;Hannes Helgason;Hannes Helgason;Daniel I. Chasman

  • Maternal and fetal genetic effects on birth weight and their relevance to cardio-metabolic risk factors

    Nicole M Warrington;Robin N Beaumont;Momoko Horikoshi;Felix R Day

  • LRRTM1 on chromosome 2p12 is a maternally suppressed gene that is associated paternally with handedness and schizophrenia

    Clyde Francks;S. Maegawa;J. Laurén;B. S. Abrahams

  • A large-scale genome-wide association study meta-analysis of cannabis use disorder

    Emma C Johnson;Ditte Demontis;Thorgeir E Thorgeirsson;Raymond K Walters

  • Identification of heart rate–associated loci and their effects on cardiac conduction and rhythm disorders

    Marcel Den Hoed;Mark Eijgelsheim;Tõnu Esko;Bianca J J M Brundel

  • Genome-wide analysis identifies 12 loci influencing human reproductive behavior

    Nicola Barban;Rick Jansen;Ronald De Vlaming;Ahmad Vaez;Ahmad Vaez

  • Genetic evidence for causal relationships between maternal obesity-related traits and birth weight

    Jessica Tyrrell;Jessica Tyrrell;Rebecca C. Richmond;Rebecca C. Richmond;Tom M. Palmer;Tom M. Palmer;Bjarke Feenstra

  • Associations of ADH and ALDH2 gene variation with self report alcohol reactions, consumption and dependence: an integrated analysis

    Stuart Macgregor;Penelope A. Lind;Kathleen K. Bucholz;Narelle K. Hansell

  • A quantitative-trait genome-wide association study of alcoholism risk in the community: findings and implications.

    Andrew C. Heath;John B. Whitfield;Nicholas G. Martin;Michele L. Pergadia

  • Directional dominance on stature and cognition in diverse human populations

    Peter K. Joshi;Tonu Esko;Hannele Mattsson;Niina Eklund

  • Genome-wide association study of offspring birth weight in 86 577 women identifies five novel loci and highlights maternal genetic effects that are independent of fetal genetics

    Robin N Beaumont;Nicole M Warrington;Alana Cavadino;Jessica Tyrrell;Jessica Tyrrell

  • A meta-analysis of genome-wide association studies identifies novel variants associated with osteoarthritis of the hip

    Evangelos Evangelou;Evangelos Evangelou;Hanneke J Kerkhof;Unnur Styrkarsdottir;Evangelia E Ntzani

  • Genome-wide association study identifies 74 loci associated with educational attainment

    Aysu Okbay;Jonathan P. Beauchamp;Mark Alan Fontana;James J. Lee

  • Genetic variants associated with subjective well-being, depressive symptoms, and neuroticism identified through genome-wide analyses

    Aysu Okbay;Bart M. L. Baselmans;Jan-Emmanuel De Neve;Patrick Turley

Frequent Co-Authors

Nicholas G. Martin
Nicholas G. Martin QIMR Berghofer Medical Research Institute
Grant W. Montgomery
Grant W. Montgomery University of Queensland
Sarah E. Medland
Sarah E. Medland QIMR Berghofer Medical Research Institute
Jouke-Jan Hottenga
Jouke-Jan Hottenga Hamad bin Khalifa University
Dorret I. Boomsma
Dorret I. Boomsma Vrije Universiteit Amsterdam
Gonneke Willemsen
Gonneke Willemsen Vrije Universiteit Amsterdam
Johan G. Eriksson
Johan G. Eriksson National University of Singapore
Caroline Hayward
Caroline Hayward University of Edinburgh
Tonu Esko
Tonu Esko University of Tartu
Patrik K. E. Magnusson
Patrik K. E. Magnusson Karolinska Institute

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