D-Index & Metrics Best Publications

D-Index & Metrics 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.

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
Psychology D-index 66 Citations 14,103 197 World Ranking 1544 National Ranking 55

Overview

What is he best known for?

The fields of study he is best known for:

  • Internal medicine
  • Cognition
  • Neuroscience

His primary areas of study are Neuroscience, Amygdala, Major depressive disorder, Bipolar disorder and Psychiatry. His Amygdala research is multidisciplinary, incorporating perspectives in Developmental psychology, Functional magnetic resonance imaging, Facial expression and Anxiety. The concepts of his Major depressive disorder study are interwoven with issues in First episode and Clinical psychology.

He has researched Bipolar disorder in several fields, including Schizophrenia, Genome-wide association study and Age of onset. He usually deals with Psychiatry and limits it to topics linked to Voxel-based morphometry and Neuroimaging. His work deals with themes such as Meta-analysis and Risk factor, which intersect with Depression.

His most cited work include:

  • Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression (1131 citations)
  • Common schizophrenia alleles are enriched in mutation-intolerant genes and in regions under strong background selection (685 citations)
  • Limbic Scars: Long-Term Consequences of Childhood Maltreatment Revealed by Functional and Structural Magnetic Resonance Imaging (620 citations)

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

His primary scientific interests are in Major depressive disorder, Depression, Neuroscience, Clinical psychology and Amygdala. His Major depressive disorder research incorporates themes from Schizophrenia, Genome-wide association study, Bipolar disorder, Internal medicine and Neuroimaging. The various areas that Udo Dannlowski examines in his Schizophrenia study include Psychosis and Genetic architecture.

Depression is a subfield of Psychiatry that Udo Dannlowski investigates. His Clinical psychology research includes themes of Voxel-based morphometry, Cognition and Affect. His Amygdala study integrates concerns from other disciplines, such as Audiology, Anxiety, Developmental psychology, Facial expression and Emotional processing.

He most often published in these fields:

  • Major depressive disorder (34.77%)
  • Depression (29.44%)
  • Neuroscience (31.73%)

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

  • Major depressive disorder (34.77%)
  • Depression (29.44%)
  • Clinical psychology (26.40%)

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

Udo Dannlowski mostly deals with Major depressive disorder, Depression, Clinical psychology, Bipolar disorder and Schizophrenia. His Major depressive disorder research integrates issues from Fractional anisotropy, Anterior cingulate cortex, Internal medicine, Neuroimaging and Electroconvulsive therapy. His Clinical psychology research incorporates elements of Voxel-based morphometry, Cognition, Affect and Anxiety.

Bipolar disorder is a primary field of his research addressed under Neuroscience. His studies deal with areas such as Facial expression and Autism as well as Neuroscience. His Schizophrenia study incorporates themes from Psychosis, Audiology, Autism spectrum disorder and Genetic architecture.

Between 2019 and 2021, his most popular works were:

  • The genetic architecture of the human cerebral cortex. (116 citations)
  • ENIGMA and global neuroscience: A decade of large-scale studies of the brain in health and disease across more than 40 countries (97 citations)
  • Using structural MRI to identify bipolar disorders – 13 site machine learning study in 3020 individuals from the ENIGMA Bipolar Disorders Working Group (62 citations)

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

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

Limbic Scars: Long-Term Consequences of Childhood Maltreatment Revealed by Functional and Structural Magnetic Resonance Imaging

Udo Dannlowski;Anja Stuhrmann;Victoria Beutelmann;Peter Zwanzger.
Biological Psychiatry (2012)

852 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

Subcortical brain alterations in major depressive disorder : findings from the ENIGMA Major Depressive Disorder working group

Tiffany C. Ho;Boris Gutman;Elena Pozzi;Hans J. Grabe.
Molecular Psychiatry (2016)

668 Citations

Genome-wide association study identifies 30 loci associated with bipolar disorder

Eli A. Stahl;Eli A. Stahl;Gerome Breen;Andreas J. Forstner;Andrew McQuillin.
Nature Genetics (2019)

518 Citations

Cortical abnormalities in adults and adolescents with major depression based on brain scans from 20 cohorts worldwide in the ENIGMA Major Depressive Disorder Working Group.

L Schmaal;D P Hibar;P G Sämann;G B Hall.
Molecular Psychiatry (2017)

494 Citations

Genomic Dissection of Bipolar Disorder and Schizophrenia, Including 28 Subphenotypes

.
Cell (2018)

487 Citations

Genome-wide meta-analysis of depression identifies 102 independent variants and highlights the importance of the prefrontal brain regions

David M. Howard;Mark J. Adams;Toni Kim Clarke;Jonathan D. Hafferty.
Nature Neuroscience (2019)

458 Citations

Facial emotion processing in major depression: a systematic review of neuroimaging findings

Anja Stuhrmann;Thomas Suslow;Thomas Suslow;Udo Dannlowski.
Biology of Mood & Anxiety Disorders (2011)

340 Citations

Automatic mood-congruent amygdala responses to masked facial expressions in major depression.

Thomas Suslow;Carsten Konrad;Harald Kugel;Daniel Rumstadt.
Biological Psychiatry (2010)

327 Citations

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