H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Neuroscience H-index 55 Citations 13,571 185 World Ranking 1838 National Ranking 49

Overview

What is she best known for?

The fields of study she is best known for:

  • Neuroscience
  • Artificial intelligence
  • Internal medicine

Her scientific interests lie mostly in Neuroscience, Brain mapping, Genome-wide association study, Diffusion MRI and Fractional anisotropy. Katie L. McMahon interconnects Schizophrenia and Voxel-based morphometry in the investigation of issues within Neuroscience. Her biological study spans a wide range of topics, including Hippocampal formation, Neuroimaging, Disease and Genetic architecture.

Her research in Neuroimaging intersects with topics in Connectome, Resting state fMRI and Computational biology. The Diffusion MRI study combines topics in areas such as White matter, Mathematical analysis and Artificial intelligence. The concepts of her Fractional anisotropy study are interwoven with issues in Twin study, Heritability and Genetic model.

Her most cited work include:

  • Toward discovery science of human brain function (2229 citations)
  • Common genetic variants influence human subcortical brain structures. (610 citations)
  • Identification of common variants associated with human hippocampal and intracranial volumes (511 citations)

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

The scientist’s investigation covers issues in Neuroscience, Cognitive psychology, Diffusion MRI, Artificial intelligence and White matter. Her works in Neuroimaging, Brain mapping, Putamen and Human brain are all subjects of inquiry into Neuroscience. Her research in Neuroimaging tackles topics such as Genome-wide association study which are related to areas like Bioinformatics.

Her Cognitive psychology research focuses on Functional magnetic resonance imaging and how it connects with Cognition and Brain activity and meditation. Her work carried out in the field of Diffusion MRI brings together such families of science as Tensor, Voxel, Single-nucleotide polymorphism and Heritability. The various areas that she examines in her Fractional anisotropy study include Imaging genetics and Computational biology.

She most often published in these fields:

  • Neuroscience (22.39%)
  • Cognitive psychology (22.01%)
  • Diffusion MRI (14.86%)

What were the highlights of her more recent work (between 2017-2021)?

  • Cognition (7.53%)
  • Parkinson's disease (5.02%)
  • Cognitive psychology (22.01%)

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

Katie L. McMahon mostly deals with Cognition, Parkinson's disease, Cognitive psychology, Audiology and Physical medicine and rehabilitation. Her Parkinson's disease study combines topics in areas such as Cognitive impairment, Resting state fMRI, Neuroscience, Dementia and Neural correlates of consciousness. She frequently studies issues relating to Genetic architecture and Neuroscience.

Her research in Cognitive psychology intersects with topics in Context, Language production, Motor cortex, Functional magnetic resonance imaging and Speech production. Her research integrates issues of Major depressive disorder and Neuroimaging in her study of Clinical psychology. Her work in Diffusion MRI tackles topics such as Genetic correlation which are related to areas like White matter.

Between 2017 and 2021, her most popular works were:

  • The genetic architecture of the human cerebral cortex. (116 citations)
  • Genetic architecture of subcortical brain structures in 38,851 individuals (71 citations)
  • Genetic Complexity of Cortical Structure: Differences in Genetic and Environmental Factors Influencing Cortical Surface Area and Thickness. (40 citations)

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

  • Internal medicine
  • Artificial intelligence
  • Statistics

Her main research concerns Heritability, Neuroscience, Evolutionary biology, Cerebral cortex and Cognition. Her Heritability course of study focuses on Human Connectome Project and Statistics, OpenMx, Covariate and Genetic complexity. Her work on Parkinson's disease expands to the thematically related Neuroscience.

Katie L. McMahon combines subjects such as Cognitive psychology, Neuropsychology, Ventral striatum, Mood disorders and Functional magnetic resonance imaging with her study of Parkinson's disease. Her Cerebral cortex research is multidisciplinary, incorporating elements of Genetic variation, Cortical surface, Brain mapping and Genetic architecture. As part of one scientific family, she deals mainly with the area of Imaging genetics, narrowing it down to issues related to the Genomics, and often Neuroimaging.

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.

Top Publications

Toward discovery science of human brain function

Bharat B. Biswal;Maarten Mennes;Xi Nian Zuo;Suril Gohel.
Proceedings of the National Academy of Sciences of the United States of America (2010)

2638 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

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

Genetics of Brain Fiber Architecture and Intellectual Performance

Ming-Chang Chiang;Marina Barysheva;David W. Shattuck;Agatha D. Lee.
The Journal of Neuroscience (2009)

425 Citations

The ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic data

Paul M. Thompson;Jason L. Stein;Sarah E. Medland;Derrek P. Hibar.
Brain Imaging and Behavior (2014)

417 Citations

An MRI investigation into the function of the transversus abdominis muscle during "drawing-in" of the abdominal wall.

Julie Hides;Stephen Wilson;Warren Stanton;Shaun McMahon.
Spine (2006)

407 Citations

Multi-site genetic analysis of diffusion images and voxelwise heritability analysis: A pilot project of the ENIGMA-DTI working group

Neda Jahanshad;Peter V. Kochunov;Emma Sprooten;Emma Sprooten;René C. Mandl.
NeuroImage (2013)

304 Citations

A Genome-Wide Association Study Identifies Five Loci Influencing Facial Morphology in Europeans

Fan Liu;Fedde van der Lijn;Claudia Schurmann;Gu Zhu.
PLOS Genetics (2012)

301 Citations

L-Dopa Modulates Functional Connectivity in Striatal Cognitive and Motor Networks: A Double-Blind Placebo-Controlled Study

Clare Kelly;Greig de Zubicaray;Adriana Di Martino;David A. Copland.
The Journal of Neuroscience (2009)

275 Citations

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

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