World's Best Scientists 2026 revealed!
Marcella Rietschel

Marcella Rietschel

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Best Female Scientists
2025
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Genetics
Germany
2026

D-Index & Metrics

Best Female Scientists

D-Index
148
Citations
114782
World Ranking
161
National Ranking
8

Genetics

D-Index
144
Citations
110123
World Ranking
163
National Ranking
10

Medicine

D-Index
151
Citations
121969
World Ranking
1098
National Ranking
51

Research.com Recognitions

  • 2026 - Research.com Genetics in Germany Leader Award
  • 2026 - Research.com Medicine in Germany Leader Award
  • 2025 - Research.com Best Female Scientists Award
  • 2025 - Research.com Genetics in Germany Leader Award
  • 2024 - Research.com Genetics in Germany Leader Award
  • 2023 - Research.com Genetics in Germany Leader Award

Overview

Marcella Rietschel is affiliated with Heidelberg University in Germany and contributes extensively to fields intersecting medicine, biochemistry, genetics, and molecular biology. Their research primarily focuses on genetics, psychiatry and mental health, clinical psychology, molecular biology, and experimental and cognitive psychology.

The topics covered in their body of work emphasize genetic associations and epidemiology, bipolar disorder and treatment, mental health research topics, epigenetics and DNA methylation, functional brain connectivity studies, tryptophan and brain disorders, as well as health, environment, and cognitive aging.

Some of the recent papers authored or co-authored by Marcella Rietschel include:

  • Quantifying Deviations of Brain Structure and Function in Major Depressive Disorder Across Neuroimaging Modalities, 2022, JAMA Psychiatry
  • Sex-Dependent Shared and Nonshared Genetic Architecture Across Mood and Psychotic Disorders, 2021, Biological Psychiatry
  • Expanding the genetic architecture of nicotine dependence and its shared genetics with multiple traits, 2020, Nature Communications
  • Identifying the Common Genetic Basis of Antidepressant Response, 2021, Biological Psychiatry Global Open Science
  • Interaction Testing and Polygenic Risk Scoring to Estimate the Association of Common Genetic Variants With Treatment Resistance in Schizophrenia, 2022, JAMA Psychiatry

Marcella Rietschel frequently collaborates with other researchers in their field. Notable co-authors include:

  • Stephanie H. Witt (115 publications)
  • Fabian Streit (94 publications)
  • Markus M. Nöthen (90 publications)
  • Josef Frank (66 publications)
  • Andreas J. Forstner (56 publications)

Their research has appeared in several publication venues multiple times, demonstrating engagement with specialized academic communities. These venues include:

  • European Neuropsychopharmacology (33 publications)
  • bioRxiv (Cold Spring Harbor Laboratory) (26 publications)
  • Translational Psychiatry (23 publications)
  • Biological Psychiatry (9 publications)
  • UNC Libraries (8 publications)

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

  • 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

  • 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

  • Genome-wide association study identifies five new schizophrenia loci

    Stephan Ripke;Alan R. Sanders;Kenneth S. Kendler;Douglas F. Levinson

  • 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

  • Discovery of the first genome-wide significant risk loci for attention deficit/hyperactivity disorder

    Ditte Demontis;Ditte Demontis;Raymond K Walters;Raymond K Walters;Joanna Martin;Joanna Martin;Joanna Martin;Manuel Mattheisen

  • Large recurrent microdeletions associated with schizophrenia

    Hreinn Stefansson;Dan Rujescu;Sven Cichon;Olli P. H. Pietilainen

  • Analysis of shared heritability in common disorders of the brain

    Verneri Anttila;Verneri Anttila;Brendan Bulik-Sullivan;Brendan Bulik-Sullivan;Hilary K. Finucane;Raymond K. Walters;Raymond K. Walters

  • 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

  • Common schizophrenia alleles are enriched in mutation-intolerant genes and in regions under strong background selection

    Antonio F. Pardiñas;Peter Holmans;Andrew J. Pocklington;Valentina Escott-Price

  • Genome-wide association study identifies 30 loci associated with bipolar disorder

    Eli A. Stahl;Eli A. Stahl;Gerome Breen;Andreas J. Forstner;Andrew McQuillin

  • 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

  • Modeling Linkage Disequilibrium Increases Accuracy of Polygenic Risk Scores

    Bjarni J. Vilhjálmsson;Jian Yang;Hilary K. Finucane;Alexander Gusev

  • Genome-wide association study of more than 40,000 bipolar disorder cases provides new insights into the underlying biology

    Niamh Mullins;Andreas J. Forstner;Andreas J. Forstner;Andreas J. Forstner;Kevin S. O'Connell;Kevin S. O'Connell;Brandon Coombes

  • Genomic Relationships, Novel Loci, and Pleiotropic Mechanisms across Eight Psychiatric Disorders

    Phil H. Lee;Verneri Anttila;Hyejung Won;Yen-Chen A. Feng

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

    Michael C. O'Donovan;Nicholas Craddock;Nadine Norton;Hywel Williams

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

    Stephan Ripke;Naomi R Wray;Cathryn M Lewis;Steven P Hamilton

  • Contribution of copy number variants to schizophrenia from a genome-wide study of 41,321 subjects

    Christian R Marshall;Daniel P Howrigan;Daniel P Howrigan;Daniele Merico;Bhooma Thiruvahindrapuram

  • Common genetic variants influence human subcortical brain structures.

    Derrek P. Hibar;Jason L. Stein;Jason L. Stein;Miguel E. Renteria;Alejandro Arias-Vasquez

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

    S. Ripke;N. R. Wray;C. M. Lewis;S. P. Hamilton

Frequent Co-Authors

Markus M. Nöthen
Markus M. Nöthen University Hospital Bonn
Sven Cichon
Sven Cichon University of Basel
Thomas G. Schulze
Thomas G. Schulze Ludwig-Maximilians-Universität München
Stephanie H. Witt
Stephanie H. Witt Heidelberg University
Wolfgang Maier
Wolfgang Maier University of Bonn
Jana Strohmaier
Jana Strohmaier Heidelberg University
Manuel Mattheisen
Manuel Mattheisen Dalhousie University
Ole Mors
Ole Mors Aarhus University
Stefan Herms
Stefan Herms University of Basel
Tomáš Paus
Tomáš Paus University of Toronto

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