World's Best Scientists 2026 revealed!
Markus Ringnér

Markus Ringnér

D-Index & Metrics

Biology and Biochemistry

D-Index
60
Citations
27940
World Ranking
11667
National Ranking
171

Overview

Markus Ringnér is affiliated with Lund University in Sweden and has a body of work spanning multiple areas within biochemistry, genetics, molecular biology, and medicine. Their research includes significant contributions to molecular biology, genetics, immunology, surgery, and oncology.

Themes frequently addressed in their research include:

  • Epigenetics and DNA Methylation
  • Genetics and Neurodevelopmental Disorders
  • Mitochondrial Function and Pathology
  • Environmental DNA in Biodiversity Studies
  • Protist diversity and phylogeny
  • Autophagy in Disease and Therapy
  • IL-33, ST2, and ILC Pathways

They have published research in several venues with multiple appearances in bioRxiv (Cold Spring Harbor Laboratory). Other notable publication venues include:

  • Cell Research
  • Molecular Oncology
  • iScience
  • Science Advances

Some of their recent papers are:

  • "Tissue-specific transcriptional imprinting and heterogeneity in human innate lymphoid cells revealed by full-length single-cell RNA-sequencing" (2021, Cell Research)
  • "Analysis of DNA methylation patterns in the tumor immune microenvironment of metastatic melanoma" (2020, Molecular Oncology)
  • "Environmentally induced DNA methylation is inherited across generations in an aquatic keystone species" (2022, iScience)
  • "PRC2-mediated repression is essential to maintain identity and function of differentiated dopaminergic and serotonergic neurons" (2022, Science Advances)
  • "Mitochondrial dysfunction in adult midbrain dopamine neurons triggers an early immune response" (2021, PLoS Genetics)

Frequent collaborators in their research include:

  • Thomas Perlmann
  • Per Svenningsson
  • Linda Gillberg
  • Roberta Filograna
  • Seungmin Lee

Best Publications

  • Classification and diagnostic prediction of cancers using gene expression profiling and artificial neural networks

    Javed Khan;Jun S. Wei;Markus Ringnér;Markus Ringnér;Lao H. Saal

  • Pan-cancer analysis of whole genomes

    Peter J. Campbell;Gad Getz;Jan O. Korbel;Joshua M. Stuart

  • What is principal component analysis

    Markus Ringnér

  • Landscape of somatic mutations in 560 breast cancer whole-genome sequences

    Serena Nik-Zainal;Serena Nik-Zainal;Helen Davies;Johan Staaf;Manasa Ramakrishna

  • Exosomes reflect the hypoxic status of glioma cells and mediate hypoxia-dependent activation of vascular cells during tumor development

    Paulina Kucharzewska;Helena C. Christianson;Johanna E. Welch;Katrin J. Svensson

  • Patterns of somatic structural variation in human cancer genomes

    Yilong Li;Nicola D Roberts;Jeremiah A Wala;Jeremiah A Wala;Ofer Shapira;Ofer Shapira

  • Estrogen Receptor Status in Breast Cancer Is Associated with Remarkably Distinct Gene Expression Patterns

    Sofia Gruvberger;Markus Ringnér;Yidong Chen;Sujatha Panavally

  • A Molecular Taxonomy for Urothelial Carcinoma

    Gottfrid Sjödahl;Martin Lauss;Kristina Lövgren;Gunilla Chebil

  • The CD44+/CD24- phenotype is enriched in basal-like breast tumors

    Gabriella Honeth;Pär-Ola Bendahl;Markus Ringnér;Lao H Saal;Lao H Saal

  • Impact of DNA Amplification on Gene Expression Patterns in Breast Cancer

    Elizabeth Hyman;Päivikki Kauraniemi;Sampsa Hautaniemi;Maija Wolf

  • Poor prognosis in carcinoma is associated with a gene expression signature of aberrant PTEN tumor suppressor pathway activity

    Lao H. Saal;Peter Johansson;Karolina Holm;Sofia K. Gruvberger-Saal

  • Spatially and functionally distinct subclasses of breast cancer-associated fibroblasts revealed by single cell RNA sequencing

    Michael Bartoschek;Nikolay Oskolkov;Matteo Bocci;John Lövrot

  • Mutational and putative neoantigen load predict clinical benefit of adoptive T cell therapy in melanoma.

    Martin Lauss;Marco Donia;Katja Harbst;Rikke Andersen

  • GOBO: Gene Expression-Based Outcome for Breast Cancer Online.

    Markus Ringnér;Erik Fredlund;Jari Häkkinen;Åke Borg

  • Molecular subtypes of breast cancer are associated with characteristic DNA methylation patterns

    Karolina Holm;Cecilia Hegardt;Johan Staaf;Johan Vallon-Christersson

  • Gene expression profiling-based identification of molecular subtypes in stage IV melanomas with different clinical outcome.

    Göran B Jönsson;Christian Busch;Stian Knappskog;Jürgen Geisler

  • Gene Expression Profile in Multiple Sclerosis Patients and Healthy Controls: Identifying Pathways Relevant to Disease

    Roberto Bomprezzi;Markus Ringnér;Markus Ringnér;Seungchan Kim;Seungchan Kim;Michael L. Bittner;Michael L. Bittner

  • Molecular classification of familial non-BRCA1/BRCA2 breast cancer

    Ingrid Hedenfalk;Markus Ringner;Markus Ringner;Amir Ben-Dor;Zohar Yakhini

  • Genomic subtypes of breast cancer identified by array-comparative genomic hybridization display distinct molecular and clinical characteristics

    Göran B Jönsson;Johan Staaf;Johan Vallon-Christersson;Markus Ringnér

  • CD44 isoforms are heterogeneously expressed in breast cancer and correlate with tumor subtypes and cancer stem cell markers

    Eleonor Olsson;Gabriella Honeth;Gabriella Honeth;Pär-Ola Bendahl;Lao H Saal

Frequent Co-Authors

Johan Staaf
Johan Staaf Lund University
Åke Borg
Åke Borg Lund University
Göran Jönsson
Göran Jönsson Lund University
Håkan Olsson
Håkan Olsson Lund University
Paul S. Meltzer
Paul S. Meltzer National Institutes of Health
Mattias Höglund
Mattias Höglund Lund University
Serena Nik-Zainal
Serena Nik-Zainal University of Cambridge
Rosa B. Barkardottir
Rosa B. Barkardottir University of Iceland
Anne Lise Børresen-Dale
Anne Lise Børresen-Dale Oslo University Hospital
Michael R. Stratton
Michael R. Stratton Wellcome Sanger Institute

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