D-Index & Metrics Best Publications
Research.com 2022 Best Female Scientist Award Badge

D-Index & Metrics

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
Medicine D-index 106 Citations 54,305 513 World Ranking 2813 National Ranking 111
Best female scientists D-index 125 Citations 79,675 876 World Ranking 272 National Ranking 16

Research.com Recognitions

Awards & Achievements

2022 - Research.com Best Female Scientist Award

Overview

What is she best known for?

The fields of study she is best known for:

  • Gene
  • Genetics
  • Internal medicine

Marcella Rietschel focuses on Genetics, Genome-wide association study, Bipolar disorder, Single-nucleotide polymorphism and Schizophrenia. Her Genetic association, Allele, Linkage disequilibrium, Copy-number variation and Locus investigations are all subjects of Genetics research. Her research on Genome-wide association study also deals with topics like

  • Genotype most often made with reference to Odds ratio,
  • ANK3, which have a strong connection to Genotyping.

Her Bipolar disorder research also works with subjects such as

  • Major depressive disorder which is related to area like Internal medicine, Panic disorder and Genetic architecture,
  • Meta-analysis that intertwine with fields like Bioinformatics. In general Single-nucleotide polymorphism study, her work on SNP often relates to the realm of Context, thereby connecting several areas of interest. Her Schizophrenia research is multidisciplinary, relying on both Young adult, Psychosis and Autism spectrum disorder.

Her most cited work include:

  • Biological insights from 108 schizophrenia-associated genetic loci (5211 citations)
  • Identification of risk loci with shared effects on five major psychiatric disorders: a genome-wide analysis (2188 citations)
  • Genetic relationship between five psychiatric disorders estimated from genome-wide SNPs (1634 citations)

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

Her primary scientific interests are in Genetics, Schizophrenia, Bipolar disorder, Psychiatry and Genome-wide association study. Single-nucleotide polymorphism, Gene, Genetic association, Allele and Locus are subfields of Genetics in which her conducts study. Her Allele research is multidisciplinary, incorporating elements of Endocrinology and Candidate gene.

Her biological study spans a wide range of topics, including Cognition, Neuroscience, Psychosis and Internal medicine. Her research integrates issues of Oncology and Age of onset in her study of Bipolar disorder. Marcella Rietschel combines subjects such as Odds ratio, Linkage disequilibrium, Case-control study, Major depressive disorder and Genetic variation with her study of Genome-wide association study.

She most often published in these fields:

  • Genetics (35.23%)
  • Schizophrenia (25.54%)
  • Bipolar disorder (23.03%)

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

  • Bipolar disorder (23.03%)
  • Schizophrenia (25.54%)
  • Internal medicine (21.44%)

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

Her primary areas of study are Bipolar disorder, Schizophrenia, Internal medicine, Genome-wide association study and Psychiatry. Her Bipolar disorder study deals with Mood intersecting with Sleep deprivation. Marcella Rietschel interconnects Transcranial magnetic stimulation, Psychosis, Autism and Clinical psychology in the investigation of issues within Schizophrenia.

Nortriptyline is closely connected to Escitalopram in her research, which is encompassed under the umbrella topic of Internal medicine. Genetics and Single-nucleotide polymorphism are all intrinsically tied to her study in Genome-wide association study. Marcella Rietschel studies Psychiatry, namely Depression.

Between 2017 and 2021, her most popular works were:

  • Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression (1310 citations)
  • Analysis of shared heritability in common disorders of the brain (866 citations)
  • Genome-wide association study identifies 30 loci associated with bipolar disorder (657 citations)

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

  • Gene
  • Internal medicine
  • Genetics

Schizophrenia, Genome-wide association study, Bipolar disorder, Major depressive disorder and Internal medicine are her primary areas of study. Her study in Schizophrenia is interdisciplinary in nature, drawing from both Psychosis, Cognition, Disease and Clinical psychology. Her Genome-wide association study study necessitates a more in-depth grasp of Genetics.

Her Bipolar disorder study integrates concerns from other disciplines, such as Multiple comparisons problem, Genetic heterogeneity, Brain Structure and Function and Gene. Marcella Rietschel interconnects Meta-analysis, Schizoaffective disorder, Bioinformatics and Mood in the investigation of issues within Major depressive disorder. Her Internal medicine research includes elements of Antidepressant, Escitalopram, Endocrinology, Oncology and Single-nucleotide polymorphism.

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

Large recurrent microdeletions associated with schizophrenia

Hreinn Stefansson;Dan Rujescu;Sven Cichon;Olli P. H. Pietilainen.
Nature (2008)

1816 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

Common variants conferring risk of schizophrenia

Hreinn Stefansson;Hreinn Stefansson;Roel A. Ophoff;Roel A. Ophoff;Roel A. Ophoff;Stacy Steinberg;Stacy Steinberg;Ole A. Andreassen.
Nature (2009)

1685 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

City living and urban upbringing affect neural social stress processing in humans.

Florian Lederbogen;Peter Kirsch;Leila Haddad;Fabian Streit.
Nature (2011)

1287 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

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

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