D-Index & Metrics Best Publications

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
Medicine D-index 88 Citations 40,384 442 World Ranking 6452 National Ranking 599

Overview

What is he best known for?

The fields of study he is best known for:

  • Internal medicine
  • Gene
  • Schizophrenia

His primary areas of study are Genome-wide association study, Schizophrenia, Neuroscience, Bipolar disorder and Psychiatry. He combines subjects such as Major depressive disorder, Genetic association, Clinical psychology and Genetic architecture with his study of Genome-wide association study. His study in Schizophrenia is interdisciplinary in nature, drawing from both Psychosis, Cognition, Neuropsychology and Allele.

The concepts of his Neuroscience study are interwoven with issues in Voxel-based morphometry and Audiology. His Bipolar disorder study combines topics in areas such as Meta-analysis, White matter, Grey matter and Brain size. His work in Psychiatry tackles topics such as Cohort study which are related to areas like Cohort.

His most cited work include:

  • Biological insights from 108 schizophrenia-associated genetic loci (4834 citations)
  • Genetic relationship between five psychiatric disorders estimated from genome-wide SNPs (1570 citations)
  • Genome-wide association study identifies five new schizophrenia loci (1474 citations)

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

Andrew M. McIntosh mainly investigates Schizophrenia, Psychiatry, Genome-wide association study, Bipolar disorder and Major depressive disorder. The study incorporates disciplines such as Audiology, Psychosis, Grey matter, Temporal lobe and Neuroscience in addition to Schizophrenia. His Genome-wide association study research is multidisciplinary, incorporating elements of Biobank, Genetic association and Genetic architecture.

Andrew M. McIntosh works mostly in the field of Bipolar disorder, limiting it down to topics relating to White matter and, in certain cases, Diffusion MRI, as a part of the same area of interest. His work deals with themes such as Internal medicine, Clinical psychology and Heritability, which intersect with Major depressive disorder. Andrew M. McIntosh interconnects Neuroticism, Personality and Cognition in the investigation of issues within Clinical psychology.

He most often published in these fields:

  • Schizophrenia (26.51%)
  • Psychiatry (26.14%)
  • Genome-wide association study (25.89%)

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

  • Major depressive disorder (24.41%)
  • Depression (18.62%)
  • Clinical psychology (21.33%)

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

Andrew M. McIntosh focuses on Major depressive disorder, Depression, Clinical psychology, DNA methylation and Genome-wide association study. His Major depressive disorder research integrates issues from Polygenic risk score, Bipolar disorder and Mood. His research in Clinical psychology intersects with topics in Cognition, Schizophrenia, Neuroimaging and Neuroticism.

His Schizophrenia research is multidisciplinary, relying on both Anorexia nervosa, Psychosis and Genetic variation. His work focuses on many connections between Genome-wide association study and other disciplines, such as Genetic association, that overlap with his field of interest in Meta-analysis. His work on Genetic architecture as part of general Genetics study is frequently linked to Trait, bridging the gap between disciplines.

Between 2019 and 2021, his most popular works were:

  • A major role for common genetic variation in anxiety disorders (73 citations)
  • White matter disturbances in major depressive disorder: a coordinated analysis across 20 international cohorts in the ENIGMA MDD working group (50 citations)
  • Mental health during the COVID-19 pandemic in two longitudinal UK population cohorts (35 citations)

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

  • Internal medicine
  • Gene
  • Statistics

Andrew M. McIntosh spends much of his time researching Depression, Genome-wide association study, Clinical psychology, Major depressive disorder and Mental health. His Depression research includes elements of Schizophrenia, Increased risk, Lateral ventricles and Age of onset. His Genome-wide association study study combines topics from a wide range of disciplines, such as Meta-analysis, Cohort study and Genetic association.

The Clinical psychology study combines topics in areas such as Neuroticism and Heritability. His research integrates issues of Orbitofrontal cortex, Oncology, Internal medicine, Risk factor and Brain aging in his study of Major depressive disorder. His biological study spans a wide range of topics, including Genetics and Disease.

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

Biological insights from 108 schizophrenia-associated genetic loci

Stephan Ripke;Stephan Ripke;Benjamin M. Neale;Benjamin M. Neale;Aiden Corvin;James T. R. Walters.
Nature (2014)

4139 Citations

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

Genome-wide association study identifies five new schizophrenia loci

Stephan Ripke;Alan R. Sanders;Kenneth S. Kendler;Douglas F. Levinson.
Nature Genetics (2011)

1603 Citations

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.
Nature Genetics (2011)

1271 Citations

A mega-analysis of genome-wide association studies for major depressive disorder

Stephan Ripke;Naomi R Wray;Cathryn M Lewis;Steven P Hamilton.
Molecular Psychiatry (2013)

1062 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

Common schizophrenia alleles are enriched in mutation-intolerant genes and in regions under strong background selection

Antonio F. Pardiñas;Peter Holmans;Andrew J. Pocklington;Valentina Escott-Price.
Nature Genetics (2018)

717 Citations

Identification of common variants associated with human hippocampal and intracranial volumes

Jason L Stein;Sarah E Medland;Sarah E Medland;Alejandro Arias Vasquez;Alejandro Arias Vasquez;Derrek P Hibar.
Nature Genetics (2012)

594 Citations

Common genetic variants influence human subcortical brain structures.

Derrek P. Hibar;Jason L. Stein;Jason L. Stein;Miguel E. Renteria;Alejandro Arias-Vasquez.
Nature (2015)

591 Citations

Cannabis as a risk factor for psychosis: systematic review.

David M. Semple;Andrew M. McIntosh;Stephen M. Lawrie.
Journal of Psychopharmacology (2005)

589 Citations

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Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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