D-Index & Metrics Best Publications
Bertram Müller-Myhsok

Bertram Müller-Myhsok

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 82 Citations 29,543 233 World Ranking 889 National Ranking 56
Medicine D-index 92 Citations 37,137 284 World Ranking 5289 National Ranking 237

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • Genetics
  • Internal medicine

The scientist’s investigation covers issues in Genome-wide association study, Genetics, Single-nucleotide polymorphism, Locus and Internal medicine. His Genome-wide association study research is multidisciplinary, incorporating elements of Schizophrenia, Bioinformatics, Bipolar disorder, Case-control study and Major depressive disorder. The various areas that he examines in his Major depressive disorder study include Meta-analysis, Genetic heterogeneity and Heritability.

Bertram Müller-Myhsok interconnects Hippocampal formation and Age of onset in the investigation of issues within Genetics. His biological study deals with issues like Breast cancer, which deal with fields such as Genotyping and Mutation. His Internal medicine research is multidisciplinary, relying on both Antidepressant, Endocrinology and Oncology.

His most cited work include:

  • Mutations in LRRK2 Cause Autosomal-Dominant Parkinsonism with Pleomorphic Pathology (2198 citations)
  • Genetic relationship between five psychiatric disorders estimated from genome-wide SNPs (1570 citations)
  • Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression (1131 citations)

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

Bertram Müller-Myhsok spends much of his time researching Genetics, Genome-wide association study, Single-nucleotide polymorphism, Internal medicine and Genetic association. His study involves Locus, Gene, Genetic linkage, Linkage disequilibrium and Candidate gene, a branch of Genetics. Bertram Müller-Myhsok combines subjects such as Odds ratio, Genetic predisposition, Bipolar disorder, Psychiatry and Major depressive disorder with his study of Genome-wide association study.

The Bipolar disorder study combines topics in areas such as Schizophrenia and Disease. His Single-nucleotide polymorphism research is multidisciplinary, incorporating perspectives in Allele, Haplotype and Bioinformatics. In his research on the topic of Internal medicine, Pharmacology is strongly related with Antidepressant.

He most often published in these fields:

  • Genetics (51.68%)
  • Genome-wide association study (46.97%)
  • Single-nucleotide polymorphism (28.45%)

What were the highlights of his more recent work (between 2018-2021)?

  • Genome-wide association study (46.97%)
  • Major depressive disorder (17.34%)
  • Schizophrenia (17.68%)

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

His primary areas of study are Genome-wide association study, Major depressive disorder, Schizophrenia, Bipolar disorder and Genetics. The subject of his Genome-wide association study research is within the realm of Single-nucleotide polymorphism. His Major depressive disorder study also includes

  • Genetic architecture which intersects with area such as Neuroscience,
  • Cohort, which have a strong connection to Pharmacogenetics, Cluster analysis and Random forest.

His Schizophrenia research incorporates elements of Psychosis, Clinical psychology, Disease and Depression. His study looks at the relationship between Bipolar disorder and topics such as Mood, which overlap with Genomics. As part of the same scientific family, Bertram Müller-Myhsok usually focuses on Genetics, concentrating on Dyslexia and intersecting with Attention deficit hyperactivity disorder and Polymorphism.

Between 2018 and 2021, his most popular works were:

  • Genome-wide association study identifies 30 loci associated with bipolar disorder (518 citations)
  • Genome-wide association study identifies 30 loci associated with bipolar disorder (518 citations)
  • Genomic Relationships, Novel Loci, and Pleiotropic Mechanisms across Eight Psychiatric Disorders (242 citations)

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

  • Gene
  • Internal medicine
  • Genetics

Bertram Müller-Myhsok focuses on Genome-wide association study, Major depressive disorder, Schizophrenia, Bipolar disorder and Genetic association. His biological study spans a wide range of topics, including Genetic predisposition, Dyslexia, Heritability, Genetic architecture and Attention deficit hyperactivity disorder. His studies in Major depressive disorder integrate themes in fields like Imputation, Clinical psychology, Disease and Cohort.

His Schizophrenia study combines topics from a wide range of disciplines, such as Bulimia nervosa and Comorbidity. His work on Genetics expands to the thematically related Bipolar disorder. His Genetic heterogeneity study in the realm of Genetics interacts with subjects such as Bipolar I 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.

Best Publications

Mutations in LRRK2 Cause Autosomal-Dominant Parkinsonism with Pleomorphic Pathology

Alexander Zimprich;Alexander Zimprich;Saskia Biskup;Petra Leitner;Peter Lichtner.
Neuron (2004)

2665 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)

1759 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

Large-scale genotyping identifies 41 new loci associated with breast cancer risk

Kyriaki Michailidou;Per Hall;Anna Gonzalez-Neira;Maya Ghoussaini.
Nature Genetics (2013)

1074 Citations

A mega-analysis of genome-wide association studies for major depressive disorder

Stephan Ripke;Naomi R Wray;Cathryn M Lewis;Steven P Hamilton.
Molecular Psychiatry (2013)

1062 Citations

Polymorphisms in FKBP5 are associated with increased recurrence of depressive episodes and rapid response to antidepressant treatment

Elisabeth B Binder;Daria Salyakina;Peter Lichtner;Gabriele M Wochnik.
Nature Genetics (2004)

962 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

Germline mutations in breast and ovarian cancer pedigrees establish RAD51C as a human cancer susceptibility gene

Alfons Meindl;Heide Hellebrand;Constanze Wiek;Verena Erven.
Nature Genetics (2010)

737 Citations

Genome-wide association study of restless legs syndrome identifies common variants in three genomic regions

Juliane Winkelmann;Barbara Schormair;Peter Lichtner;Stephan Ripke.
Nature Genetics (2007)

688 Citations

A susceptibility locus for Parkinson's disease maps to chromosome 2p13

Thomas Gasser;Bertram Müller-Myhsok;Zbigniew K. Wszolek;Ralph Oehlmann.
Nature Genetics (1998)

618 Citations

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