What is he best known for?
The fields of study he is best known for:
- Internal medicine
- Schizophrenia
- Genetics
His main research concerns Genetics, Schizophrenia, Psychiatry, Genome-wide association study and Clinical psychology.
His Genetics study frequently links to related topics such as Developmental disorder.
His study of Psychiatric genetics is a part of Schizophrenia.
Jeremy M. Silverman interconnects Disease, Case-control study, Allele and ANK3 in the investigation of issues within Genome-wide association study.
His work on Linkage disequilibrium as part of general Allele research is often related to Biological plausibility and Complement component 4, thus linking different fields of science.
His Clinical psychology study incorporates themes from Schizotypal personality disorder, Proband, Cognitive disorder and Cognitive decline.
His most cited work include:
- Biological insights from 108 schizophrenia-associated genetic loci (4834 citations)
- Biological insights from 108 schizophrenia-associated genetic loci (4834 citations)
- Genetic relationship between five psychiatric disorders estimated from genome-wide SNPs (1570 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Schizophrenia, Genetics, Cognition, Psychiatry and Clinical psychology.
His studies deal with areas such as Psychosis, Proband and Audiology as well as Schizophrenia.
His research is interdisciplinary, bridging the disciplines of Autism and Genetics.
The various areas that he examines in his Cognition study include Type 2 diabetes, Dementia, Cognitive decline and Gerontology.
His work in Psychiatry addresses subjects such as Personality disorders, which are connected to disciplines such as Borderline personality disorder and Impulsivity.
Jeremy M. Silverman has researched Genome-wide association study in several fields, including Bipolar disorder, Linkage disequilibrium and Allele.
He most often published in these fields:
- Schizophrenia (39.90%)
- Genetics (33.99%)
- Cognition (31.03%)
What were the highlights of his more recent work (between 2014-2021)?
- Cognition (31.03%)
- Genetics (33.99%)
- Schizophrenia (39.90%)
In recent papers he was focusing on the following fields of study:
Jeremy M. Silverman spends much of his time researching Cognition, Genetics, Schizophrenia, Type 2 diabetes and Endophenotype.
His Cognition research incorporates themes from Dementia, Cognitive decline and Gerontology.
His Genetics research includes themes of Vigilance and Cohort.
His study with Schizophrenia involves better knowledge in Psychiatry.
His Endophenotype study combines topics from a wide range of disciplines, such as Young adult, Verbal learning, Schizophrenia, Clinical psychology and Neurocognitive.
His Genome-wide association study research also works with subjects such as
- Genetic architecture, which have a strong connection to Psychiatric genetics,
- Genetic marker and related Gene duplication.
Between 2014 and 2021, his most popular works were:
- Modeling Linkage Disequilibrium Increases Accuracy of Polygenic Risk Scores (575 citations)
- Psychiatric genome-wide association study analyses implicate neuronal, immune and histone pathways (518 citations)
- Contribution of copy number variants to schizophrenia from a genome-wide study of 41,321 subjects (475 citations)
In his most recent research, the most cited papers focused on:
- Internal medicine
- Schizophrenia
- Psychiatry
Jeremy M. Silverman mainly focuses on Endophenotype, Schizophrenia, Genetics, Psychiatry and Genome-wide association study.
His studies in Endophenotype integrate themes in fields like Young adult, Neurocognitive, Cohort and Heritability.
His Schizophrenia research is multidisciplinary, incorporating elements of Oncology, Audiology, Psychosis and Internal medicine, Case-control study.
His Genetics research is multidisciplinary, incorporating perspectives in Working memory and Vigilance.
Jeremy M. Silverman has included themes like Bipolar disorder and Copy-number variation in his Genome-wide association study study.
His research integrates issues of Genetic variation, Genetic association and Genomics in his study of Bipolar disorder.
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.
