D-Index & Metrics Best Publications
Research.com 2022 Rising Star of Science Award Badge

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 30 Citations 5,214 56 World Ranking 7654 National Ranking 351
Rising Stars D-index 35 Citations 5,899 128 World Ranking 807 National Ranking 29

Research.com Recognitions

Awards & Achievements

2022 - Research.com Rising Star of Science Award

Overview

What is he best known for?

The fields of study he is best known for:

  • Internal medicine
  • Psychiatry
  • Neuroscience

His scientific interests lie mostly in Major depressive disorder, Clinical psychology, Audiology, Bipolar disorder and Voxel-based morphometry. Major depressive disorder is a primary field of his research addressed under Depression. His work carried out in the field of Clinical psychology brings together such families of science as Hippocampal formation, Internal medicine and Rating scale.

His Audiology research is multidisciplinary, incorporating elements of Subliminal stimuli and Frontal lobe, Neuroscience, Amygdala. His work on Bipolar disorder is being expanded to include thematically relevant topics such as Neuroimaging. His study in Voxel-based morphometry is interdisciplinary in nature, drawing from both First episode and Orbitofrontal cortex.

His most cited work include:

  • Limbic Scars: Long-Term Consequences of Childhood Maltreatment Revealed by Functional and Structural Magnetic Resonance Imaging (620 citations)
  • Subcortical brain alterations in major depressive disorder : findings from the ENIGMA Major Depressive Disorder working group (533 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. (426 citations)

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

Major depressive disorder, Neuroscience, Neuroimaging, Clinical psychology and Amygdala are his primary areas of study. His Major depressive disorder research is multidisciplinary, incorporating perspectives in Bipolar disorder, Orbitofrontal cortex and Internal medicine. Neuroscience is frequently linked to Psychosis in his study.

He interconnects Machine learning, Multivariate statistics, Artificial intelligence and Genetic data in the investigation of issues within Neuroimaging. In his study, which falls under the umbrella issue of Clinical psychology, Brain morphometry, Voxel and First episode is strongly linked to Voxel-based morphometry. Dominik Grotegerd has included themes like Developmental psychology, Functional magnetic resonance imaging, Facial expression, Neural correlates of consciousness and Epigenetics in his Amygdala study.

He most often published in these fields:

  • Major depressive disorder (32.41%)
  • Neuroscience (24.07%)
  • Neuroimaging (23.15%)

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

  • Major depressive disorder (32.41%)
  • Neuroimaging (23.15%)
  • Schizophrenia (13.89%)

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

Dominik Grotegerd mainly investigates Major depressive disorder, Neuroimaging, Schizophrenia, Depression and Neuroscience. His work deals with themes such as Oncology, Anterior cingulate cortex, Internal medicine, Risk factor and Clinical psychology, which intersect with Major depressive disorder. He combines subjects such as Bipolar disorder, Brain morphometry, Cortical surface and Genetic architecture with his study of Schizophrenia.

His Depression research includes elements of Biomarker, Audiology, Orbitofrontal cortex and Disease. The study incorporates disciplines such as Psychosis and Autism spectrum disorder in addition to Neuroscience. His Hippocampus research incorporates themes from Lateral ventricles and Amygdala.

Between 2019 and 2021, his most popular works were:

  • Using structural MRI to identify bipolar disorders – 13 site machine learning study in 3020 individuals from the ENIGMA Bipolar Disorders Working Group (62 citations)
  • ENIGMA MDD: seven years of global neuroimaging studies of major depression through worldwide data sharing (21 citations)
  • Interactive impact of childhood maltreatment, depression, and age on cortical brain structure: mega-analytic findings from a large multi-site cohort. (20 citations)

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

  • Internal medicine
  • Psychiatry
  • Cognition

Dominik Grotegerd mainly focuses on Neuroimaging, Schizophrenia, Major depressive disorder, Bipolar disorder and Clinical psychology. His Neuroimaging research incorporates elements of Data set, Diagnosis of schizophrenia, Physical medicine and rehabilitation and Cortical surface. His Schizophrenia study incorporates themes from Evolutionary biology, Atrophy, Human brain and Genetic architecture.

His Major depressive disorder research is within the category of Depression. Bipolar disorder is a subfield of Psychiatry that Dominik Grotegerd tackles. His work on Psychopathology as part of general Clinical psychology study is frequently linked to Confirmatory factor analysis and Large group, therefore connecting diverse disciplines of science.

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

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

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

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

Cortical abnormalities in bipolar disorder : An MRI analysis of 6503 individuals from the ENIGMA Bipolar Disorder Working Group

D P Hibar;L T Westlye;L T Westlye;N T Doan;N T Doan;N Jahanshad.
Molecular Psychiatry (2018)

317 Citations

Childhood maltreatment is associated with an automatic negative emotion processing bias in the amygdala.

Udo Dannlowski;Udo Dannlowski;Harald Kugel;Franziska Huber;Anja Stuhrmann.
Human Brain Mapping (2013)

215 Citations

Brain morphometric biomarkers distinguishing unipolar and bipolar depression. A voxel-based morphometry-pattern classification approach.

Ronny Redlich;Jorge J. R. Almeida;Dominik Grotegerd;Nils Opel.
JAMA Psychiatry (2014)

212 Citations

Prediction of Individual Response to Electroconvulsive Therapy via Machine Learning on Structural Magnetic Resonance Imaging Data

Ronny Redlich;Nils Opel;Dominik Grotegerd;Katharina Dohm.
JAMA Psychiatry (2016)

209 Citations

Hippocampal atrophy in major depression: a function of childhood maltreatment rather than diagnosis?

Nils Opel;Ronny Redlich;Peter Zwanzger;Dominik Grotegerd.
Neuropsychopharmacology (2014)

147 Citations

Reward Processing in Unipolar and Bipolar Depression: A Functional MRI Study

Ronny Redlich;Katharina Dohm;Dominik Grotegerd;Nils Opel.
Neuropsychopharmacology (2015)

137 Citations

Obesity and major depression: Body-mass index (BMI) is associated with a severe course of disease and specific neurostructural alterations.

Nils Opel;Ronny Redlich;Dominik Grotegerd;Katharina Dohm.
Psychoneuroendocrinology (2015)

122 Citations

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