What is he best known for?
The fields of study he is best known for:
- Internal medicine
- Psychiatry
- Schizophrenia
His primary scientific interests are in Neuroscience, Bipolar disorder, Neuroimaging, Machine learning and Artificial intelligence.
His work carried out in the field of Neuroscience brings together such families of science as Schizophrenia and Audiology.
His Audiology study which covers Orbitofrontal cortex that intersects with Voxel-based morphometry.
The study incorporates disciplines such as Hippocampus and Mood disorders in addition to Bipolar disorder.
His research in Neuroimaging intersects with topics in Neurocognitive, Neuropsychology and Clinical psychology.
The Clinical psychology study combines topics in areas such as Psychiatry and Comorbidity.
His most cited work include:
- The ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic data (508 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)
- Cortical abnormalities in bipolar disorder : An MRI analysis of 6503 individuals from the ENIGMA Bipolar Disorder Working Group (306 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Bipolar disorder, Neuroscience, Internal medicine, Neuroimaging and Psychiatry.
He interconnects White matter, Clinical psychology, Mood, Neurocognitive and Hippocampus in the investigation of issues within Bipolar disorder.
His Neuroscience study often links to related topics such as Schizophrenia.
His Internal medicine study incorporates themes from Endocrinology, Depression, Oncology, Cardiology and Lateral ventricles.
His research integrates issues of Machine learning, Brain mapping, Artificial intelligence and Relevance vector machine in his study of Neuroimaging.
In his study, Healthy individuals is inextricably linked to Gyrification, which falls within the broad field of Psychiatry.
He most often published in these fields:
- Bipolar disorder (44.25%)
- Neuroscience (26.55%)
- Internal medicine (25.66%)
What were the highlights of his more recent work (between 2019-2021)?
- Bipolar disorder (44.25%)
- Depression (8.85%)
- Internal medicine (25.66%)
In recent papers he was focusing on the following fields of study:
Benson Mwangi focuses on Bipolar disorder, Depression, Internal medicine, Major depressive disorder and Neuroimaging.
His studies in Bipolar disorder integrate themes in fields like Pediatrics and Comorbidity.
His biological study spans a wide range of topics, including Endocrinology, Multivariate statistics and Lateral ventricles.
His Major depressive disorder research incorporates themes from Insomnia, Orbitofrontal cortex, Audiology, Rating scale and Posterior parietal cortex.
His Neuroimaging research is multidisciplinary, incorporating elements of Control, Schizophrenia, Odds and Data science.
His Schizophrenia research is multidisciplinary, relying on both Genetic risk, Text mining, Mood disorders, Artificial intelligence and Machine learning.
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)
- Brain aging in major depressive disorder: results from the ENIGMA major depressive disorder working group (25 citations)
- Virtual histology of cortical thickness and shared neurobiology in 6 psychiatric disorders (17 citations)
In his most recent research, the most cited papers focused on:
- Internal medicine
- Psychiatry
- Schizophrenia
Benson Mwangi mainly investigates Major depressive disorder, Depression, Bipolar disorder, Neuroimaging and Schizophrenia.
His Major depressive disorder research incorporates elements of Brain aging, Internal medicine, Increased risk, Lateral ventricles and Age of onset.
His work deals with themes such as Orbitofrontal cortex, Audiology, Structural brain abnormalities, Atrophy and Risk factor, which intersect with Depression.
Bipolar disorder is a subfield of Psychiatry that he studies.
He combines subjects such as Text mining, Genetic risk, Odds and Mood disorders with his study of Neuroimaging.
His studies deal with areas such as Autism, Autism spectrum disorder, Artificial intelligence, Machine learning and Neuroscience as well as Schizophrenia.
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