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
Genetics and Molecular Biology D-index 68 Citations 40,428 164 World Ranking 1632 National Ranking 114
Medicine D-index 79 Citations 43,982 289 World Ranking 9923 National Ranking 455

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • Genetics
  • Internal medicine

Genetics, Genome-wide association study, Bipolar disorder, Schizophrenia and Single-nucleotide polymorphism are his primary areas of study. His work in Genetics addresses subjects such as Odds ratio, which are connected to disciplines such as Mood, Neurochemistry and Nosology. His Genome-wide association study research is multidisciplinary, relying on both Case-control study, Linkage disequilibrium, Allele, Genetic association and ANK3.

His studies deal with areas such as Major depressive disorder, Psychosis, Mood disorders and Internal medicine as well as Bipolar disorder. Psychiatric genetics is the focus of his Schizophrenia research. His work on SNP as part of general Single-nucleotide polymorphism research is frequently linked to Context, bridging the gap between disciplines.

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)
  • Identification of risk loci with shared effects on five major psychiatric disorders: a genome-wide analysis (2059 citations)

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

His primary areas of study are Genetics, Bipolar disorder, Genome-wide association study, Psychiatry and Schizophrenia. His Single-nucleotide polymorphism, Gene, Allele, Genetic variation and Locus study are his primary interests in Genetics. The study incorporates disciplines such as Internal medicine, Lithium, Clinical psychology, Mood and Major depressive disorder in addition to Bipolar disorder.

His study in Genome-wide association study is interdisciplinary in nature, drawing from both Odds ratio, Linkage disequilibrium, Case-control study, Genetic association and ANK3. His work on Psychiatric genetics and Depression is typically connected to Context as part of general Psychiatry study, connecting several disciplines of science. Thomas G. Schulze studied Schizophrenia and Psychosis that intersect with Genetic determinism and Endophenotype.

He most often published in these fields:

  • Genetics (52.11%)
  • Bipolar disorder (52.11%)
  • Genome-wide association study (38.26%)

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

  • Bipolar disorder (52.11%)
  • Clinical psychology (20.42%)
  • Psychiatry (30.99%)

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

Thomas G. Schulze spends much of his time researching Bipolar disorder, Clinical psychology, Psychiatry, Schizophrenia and Genome-wide association study. He has included themes like Genetics, Lithium, Mood, Genetic association and Genetic heterogeneity in his Bipolar disorder study. Thomas G. Schulze combines subjects such as Schizoaffective disorder, Psychosis, Effects of sleep deprivation on cognitive performance and Association with his study of Clinical psychology.

The Psychiatric genetics research Thomas G. Schulze does as part of his general Psychiatry study is frequently linked to other disciplines of science, such as Context, Suicide attempt and Pandemic, therefore creating a link between diverse domains of science. Thomas G. Schulze studies Schizophrenia, namely Endophenotype. As a member of one scientific family, Thomas G. Schulze mostly works in the field of Genome-wide association study, focusing on Major depressive disorder and, on occasion, Internal medicine, Mood disorders, Meta-analysis, Case-control study and Oncology.

Between 2017 and 2021, his most popular works were:

  • Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression (1131 citations)
  • Analysis of shared heritability in common disorders of the brain (726 citations)
  • Genome-wide association study identifies 30 loci associated with bipolar disorder (518 citations)

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

  • Gene
  • Schizophrenia
  • Psychiatry

Thomas G. Schulze mainly investigates Bipolar disorder, Schizophrenia, Genome-wide association study, Psychiatry and Clinical psychology. The concepts of his Bipolar disorder study are interwoven with issues in Multiple comparisons problem, Genetic heterogeneity, Lithium and Genetic association. Thomas G. Schulze interconnects Psychosis, Verbal learning, Effects of sleep deprivation on cognitive performance, Mania and Genetic architecture in the investigation of issues within Schizophrenia.

Genome-wide association study is a subfield of Genetics that Thomas G. Schulze studies. His research investigates the connection with Psychiatry and areas like MEDLINE which intersect with concerns in Nursing and Stigma. Many of his research projects under Clinical psychology are closely connected to Biomarker with Biomarker, tying the diverse disciplines of science together.

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

Biological insights from 108 schizophrenia-associated genetic loci

Stephan Ripke;Stephan Ripke;Benjamin M. Neale;Benjamin M. Neale;Aiden Corvin;James T. R. Walters.
Nature (2014)

4139 Citations

Identification of risk loci with shared effects on five major psychiatric disorders: a genome-wide analysis

Jordan W. Smoller;Kenneth Kendler;Nicholas John Craddock;Phil Hyoun Lee.
The Lancet (2013)

3283 Citations

Genetic relationship between five psychiatric disorders estimated from genome-wide SNPs

S. Hong Lee;Stephan Ripke;Stephan Ripke;Benjamin M. Neale;Benjamin M. Neale;Stephen V. Faraone.
Nature Genetics (2013)

1708 Citations

Genome-wide association study identifies five new schizophrenia loci

Stephan Ripke;Alan R. Sanders;Kenneth S. Kendler;Douglas F. Levinson.
Nature Genetics (2011)

1603 Citations

Large-scale genome-wide association analysis of bipolar disorder identifies a new susceptibility locus near ODZ4

Pamela Sklar;Pamela Sklar;Stephan Ripke;Stephan Ripke;Laura J. Scott;Ole A. Andreassen.
Nature Genetics (2011)

1271 Citations

Identification of loci associated with schizophrenia by genome-wide association and follow-up

Michael C. O'Donovan;Nicholas Craddock;Nadine Norton;Hywel Williams.
Nature Genetics (2008)

1180 Citations

Modeling Linkage Disequilibrium Increases Accuracy of Polygenic Risk Scores

Bjarni J. Vilhjálmsson;Jian Yang;Hilary K. Finucane;Alexander Gusev.
American Journal of Human Genetics (2015)

960 Citations

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

A genome-wide association study implicates diacylglycerol kinase eta (DGKH) and several other genes in the etiology of bipolar disorder.

A E Baum;N Akula;M Cabanero;I Cardona.
Molecular Psychiatry (2008)

774 Citations

Microduplications of 16p11.2 are Associated with Schizophrenia

Shane E. McCarthy;Vladimir Makarov;George Kirov;Anjene M. Addington.
Nature Genetics (2009)

692 Citations

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