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Stephan Ossowski

Stephan Ossowski

D-Index & Metrics

Genetics

D-Index
59
Citations
28276
World Ranking
3189
National Ranking
221

Overview

Stephan Ossowski is an active researcher affiliated with the University of Tübingen in Germany. Their scientific work primarily spans the fields of biochemistry, genetics, molecular biology, and medicine, reflecting a multifaceted approach to understanding genomic and molecular mechanisms.

Their research contributions focus extensively on various subfields including molecular biology, genetics, cancer research, oncology, and pathology and forensic medicine. This diverse expertise aligns with their main topics of work, which cover areas such as cancer genomics and diagnostics, genomics and rare diseases, genomic variations and chromosomal abnormalities, genetic factors in colorectal cancer, genomics and phylogenetic studies, cancer immunotherapy and biomarkers, as well as genetic neurodegenerative diseases.

Stephan Ossowski has published numerous papers, with some notable recent works including:

  • Patterns of somatic structural variation in human cancer genomes (2020, Nature)
  • Swarm Learning for decentralized and confidential clinical machine learning (2021, Nature)
  • Comprehensive analysis of chromothripsis in 2,658 human cancers using whole-genome sequencing (2020, Nature Genetics)
  • A global metagenomic map of urban microbiomes and antimicrobial resistance (2021, Cell)
  • Cartography of opportunistic pathogens and antibiotic resistance genes in a tertiary hospital environment (2020, Nature Medicine)

Their research is frequently published in venues such as bioRxiv (Cold Spring Harbor Laboratory), European Journal of Human Genetics, Nature Genetics, Nature Communications, and Nature Medicine, reflecting a consistent engagement with high-profile scientific journals.

Collaboration plays a significant role in their academic work, with frequent co-authors including Olaf Rieß, Tobias B. Haack, Christopher Schroeder, German Demidov, and Jakob Admard. These collaborations highlight a network of researchers working conjointly in related scientific domains.

Best Publications

  • Pan-cancer analysis of whole genomes

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

  • Highly specific gene silencing by artificial microRNAs in Arabidopsis.

    Rebecca Schwab;Stephan Ossowski;Markus Riester;Norman Warthmann

  • Severe COVID-19 Is Marked by a Dysregulated Myeloid Cell Compartment.

    Jonas Schulte-Schrepping;Nico Reusch;Daniela Paclik;Kevin Baßler

  • The Rate and Molecular Spectrum of Spontaneous Mutations in Arabidopsis thaliana

    Stephan Ossowski;Korbinian Schneeberger;José Ignacio Lucas-Lledó;Norman Warthmann

  • Whole-genome sequencing of multiple Arabidopsis thaliana populations

    Jun Cao;Korbinian Schneeberger;Stephan Ossowski;Stephan Ossowski;Torsten Günther

  • The Arabidopsis lyrata genome sequence and the basis of rapid genome size change

    Tina T. Hu;Pedro Pattyn;Erica G. Bakker;Jun Cao

  • Patterns of somatic structural variation in human cancer genomes

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

  • Common sequence polymorphisms shaping genetic diversity in Arabidopsis thaliana.

    Richard M. Clark;Gabriele Schweikert;Christopher Toomajian;Stephan Ossowski

  • Gene silencing in plants using artificial microRNAs and other small RNAs

    Stephan Ossowski;Rebecca Schwab;Detlef Weigel

  • SHOREmap: simultaneous mapping and mutation identification by deep sequencing

    Korbinian Schneeberger;Stephan Ossowski;Christa Lanz;Trine Juul

  • Transcriptional Control of Gene Expression by MicroRNAs

    Basel Khraiwesh;M. Asif Arif;Gotelinde I. Seumel;Stephan Ossowski

  • Recombination and linkage disequilibrium in Arabidopsis thaliana

    Sung Kim;Vincent Plagnol;Vincent Plagnol;Tina T Hu;Christopher Toomajian

  • Sequencing of natural strains of Arabidopsis thaliana with short reads

    Stephan Ossowski;Korbinian Schneeberger;Richard M. Clark;Christa Lanz

  • Swarm Learning for decentralized and confidential clinical machine learning.

    Stefanie Warnat-Herresthal;Hartmut Schultze;Krishnaprasad Lingadahalli Shastry;Sathyanarayanan Manamohan

  • Comprehensive analysis of chromothripsis in 2,658 human cancers using whole-genome sequencing

    Isidro Cortés-Ciriano;Jake June-Koo Lee;Ruibin Xi;Dhawal Jain

  • Comparative transcriptomics reveals patterns of selection in domesticated and wild tomato

    Daniel Koenig;José M. Jiménez-Gómez;Seisuke Kimura;Daniel Fulop

  • Highly specific gene silencing by artificial microRNAs in the unicellular alga Chlamydomonas reinhardtii

    Attila Molnar;Andrew Bassett;Eva Thuenemann;Frank Schwach

  • Highly specific gene silencing by artificial miRNAs in rice.

    Norman Warthmann;Hao Chen;Stephan Ossowski;Detlef Weigel

  • Optimal spliced alignments of short sequence reads

    Fabio De Bona;Stephan Ossowski;Korbinian Schneeberger;Gunnar Rätsch

  • Selective epigenetic control of retrotransposition in Arabidopsis

    Marie Mirouze;Jon Reinders;Etienne Bucher;Taisuke Nishimura

Frequent Co-Authors

Detlef Weigel
Detlef Weigel Max Planck Institute for Developmental Biology
Korbinian Schneeberger
Korbinian Schneeberger Max Planck Society
Raquel Rabionet
Raquel Rabionet University of Barcelona
Olaf Riess
Olaf Riess University of Tübingen
Gunnar Rätsch
Gunnar Rätsch ETH Zurich
Maarten Koornneef
Maarten Koornneef Max Planck Institute for Plant Breeding Research
Christa Lanz
Christa Lanz Max Planck Society
Oliver Stegle
Oliver Stegle German Cancer Research Center
Xavier Jeunemaitre
Xavier Jeunemaitre Université Paris Cité

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