D-Index & Metrics Best Publications
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D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Biology and Biochemistry D-index 77 Citations 28,744 208 World Ranking 2020 National Ranking 50
Best female scientists D-index 109 Citations 47,626 510 World Ranking 571 National Ranking 19

Research.com Recognitions

Awards & Achievements

2022 - Research.com Best Female Scientist Award

2019 - Fellow of the Australian Academy of Health and Medical Science

Overview

What is she best known for?

The fields of study she is best known for:

  • Gene
  • Internal medicine
  • Genetics

Sarah E. Medland focuses on Genome-wide association study, Genetics, Genetic association, Single-nucleotide polymorphism and Candidate gene. The concepts of her Genome-wide association study study are interwoven with issues in Schizophrenia, Bipolar disorder, Quantitative trait locus, Genetic architecture and Meta-analysis. Sarah E. Medland combines subjects such as Depression and Clinical psychology, Attention deficit hyperactivity disorder with her study of Meta-analysis.

Her Genetic association research is multidisciplinary, incorporating elements of Genome, Genomics and Computational biology. Sarah E. Medland interconnects Multiple comparisons problem, Memoria, Effects of sleep deprivation on cognitive performance, Genetic epidemiology and Allele in the investigation of issues within Single-nucleotide polymorphism. Her Candidate gene study combines topics in areas such as International HapMap Project, Phenotype and Imputation.

Her most cited work include:

  • Genetic relationship between five psychiatric disorders estimated from genome-wide SNPs (1634 citations)
  • Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression (1310 citations)
  • Genetic studies of body mass index yield new insights for obesity biology (1003 citations)

What are the main themes of her work throughout her whole career to date?

Sarah E. Medland mostly deals with Genome-wide association study, Genetics, Genetic association, Heritability and Single-nucleotide polymorphism. Her research integrates issues of Candidate gene, Meta-analysis, Evolutionary biology and Genetic architecture in her study of Genome-wide association study. Her research related to Quantitative trait locus, Allele, Linkage disequilibrium, Locus and SNP might be considered part of Genetics.

The Heritability study combines topics in areas such as Demography and Genetic correlation, Genetic variation. Demography is frequently linked to Body mass index in her study. The study incorporates disciplines such as Developmental psychology, Clinical psychology and Cohort in addition to Twin study.

She most often published in these fields:

  • Genome-wide association study (44.04%)
  • Genetics (37.89%)
  • Genetic association (17.19%)

What were the highlights of her more recent work (between 2019-2021)?

  • Genome-wide association study (44.04%)
  • Depression (9.30%)
  • Clinical psychology (13.86%)

In recent papers she was focusing on the following fields of study:

Her primary areas of investigation include Genome-wide association study, Depression, Clinical psychology, Genetics and Cohort. Her studies in Genome-wide association study integrate themes in fields like Evolutionary biology, Mendelian randomization, Genetic correlation, Genetic association and Genetic architecture. Her Genetic association study combines topics from a wide range of disciplines, such as Odds ratio, Internal medicine, Brain morphometry and Heritability.

The various areas that Sarah E. Medland examines in her Clinical psychology study include Major depressive disorder, Miscarriage, Mendelian Randomization Analysis and Genetic testing. Meta-analysis and Brain asymmetry is closely connected to Neuroimaging in her research, which is encompassed under the umbrella topic of Major depressive disorder. Her biological study spans a wide range of topics, including Bipolar disorder, Disease and Schizophrenia.

Between 2019 and 2021, her most popular works were:

  • The genetic architecture of the human cerebral cortex (163 citations)
  • ENIGMA and global neuroscience: A decade of large-scale studies of the brain in health and disease across more than 40 countries (136 citations)
  • Brain aging in major depressive disorder: results from the ENIGMA major depressive disorder working group (43 citations)

In her most recent research, the most cited papers focused on:

  • Gene
  • Internal medicine
  • Genetics

Her primary scientific interests are in Genome-wide association study, Genetic association, Schizophrenia, Evolutionary biology and Depression. Her Genome-wide association study study introduces a deeper knowledge of Genetics. Her Genetic association study incorporates themes from Odds ratio, Brain morphometry, Neuroplasticity and Oncology.

Her studies deal with areas such as Eating disorders, Bipolar disorder and Major depressive disorder as well as Schizophrenia. Her work deals with themes such as Biobank, Genomics, Gene, Genetic heterogeneity and Genetic architecture, which intersect with Evolutionary biology. Her Depression research is multidisciplinary, relying on both Internal medicine, Cohort, Atrophy and Psychopathology.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

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.
Nature Genetics (2013)

1708 Citations

Genetic studies of body mass index yield new insights for obesity biology

Adam E. Locke;Bratati Kahali;Sonja I. Berndt;Anne E. Justice.
Faculty of Health; Institute of Health and Biomedical Innovation (2015)

1231 Citations

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.
Nature Genetics (2018)

893 Citations

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

Aysu Okbay;Jonathan P. Beauchamp;Mark Alan Fontana;James J. Lee.
Nature (2016)

861 Citations

A versatile gene-based test for genome-wide association studies

Jimmy Z. Liu;Allan F. Mcrae;Dale R. Nyholt;Sarah E. Medland.
American Journal of Human Genetics (2010)

828 Citations

Conditional and joint multiple-SNP analysis of GWAS summary statistics identifies additional variants influencing complex traits

Jian Yang;Teresa Ferreira;Andrew P Morris;Sarah E Medland.
Nature Genetics (2012)

741 Citations

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

Cornelius A. Rietveld;Sarah E. Medland;Jaime Lane Derringer;Jian Yang.
Science (2013)

723 Citations

Identification of seven loci affecting mean telomere length and their association with disease

Veryan Codd;Christopher P Nelson;Eva Albrecht;Massimo Mangino.
Nature Genetics (2013)

668 Citations

Meta-Analysis of Genome-Wide Association Studies of Attention- Deficit/Hyperactivity Disorder

Benjamin M. Neale;Benjamin M. Neale;Sarah E. Medland;Sarah E. Medland;Stephan Ripke;Stephan Ripke;Philip Asherson.
Journal of the American Academy of Child and Adolescent Psychiatry (2010)

601 Citations

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.
Nature Genetics (2016)

597 Citations

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