Stefanie Warnat‐Herresthal

University of Bonn — Germany

Biochemistry, Genetics and Molecular Biology · Life Sciences

11h-index1.4kcitations24works3.02yr avg
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Research Topics

Single-cell and spatial transcriptomics(10), Cancer Genomics and Diagnostics(6), Immune cells in cancer(6), Neonatal Respiratory Health Research(3), Gene expression and cancer classification(3)

Publications24 total

Interferon gamma rebalances immunopathological signatures in chronic granulomatous disease through metabolic rewiring
Blood Advances·2025Open Access
Unveiling the power of high-dimensional cytometry data with cyCONDOR
Nature Communications·2024· 8 citedOpen Access
Machine learning models for outcome prediction in thrombectomy for large anterior vessel occlusion
Annals of Clinical and Translational Neurology·2024· 2 citedOpen Access
Unveiling the Power of High-Dimensional Cytometry Data with cy <i>CONDOR</i>
2024· 2 citedOpen Access
Identification of drug candidates targeting monocyte reprogramming in people living with HIV
Frontiers in Immunology·2023· 13 citedOpen Access
Longitudinal multi-omics analysis identifies early blood-based predictors of anti-TNF therapy response in inflammatory bowel disease
Genome Medicine·2022· 57 citedOpen Access
Decoding mechanism of action and sensitivity to drug candidates from integrated transcriptome and chromatin state
eLife·2022· 8 citedOpen Access
Alveolar macrophages in early stage COPD show functional deviations with properties of impaired immune activation
Frontiers in Immunology·2022· 43 citedOpen Access
Author response: Decoding mechanism of action and sensitivity to drug candidates from integrated transcriptome and chromatin state
2022Open Access
Mature neutrophils and a NF-κB-to-IFN transition determine the unifying disease recovery dynamics in COVID-19
Cell Reports Medicine·2022· 13 citedOpen Access
Decoding mechanism of action and susceptibility to drug candidates from integrated transcriptome and chromatin state
2022Open Access
Artificial Intelligence in Blood Transcriptomics
Artificial Intelligence in Medicine·2022· 3 cited
Swarm Learning for decentralized and confidential clinical machine learning
Nature·2021· 790 citedOpen Access
Alveolar macrophage transcriptomic profiling in COPD shows major lipid metabolism changes
ERJ Open Research·2021· 55 citedOpen Access
Artificial Intelligence in Blood Transcriptomics
Artificial Intelligence in Medicine·2021· 1 cited
CRELD1 modulates homeostasis of the immune system in mice and humans
Nature Immunology·2020· 21 cited
Swarm Learning as a privacy-preserving machine learning approach for disease classification
2020· 24 citedOpen Access
Alterations of multiple alveolar macrophage states in chronic obstructive pulmonary disease
2020· 16 citedOpen Access
Scalable Prediction of Acute Myeloid Leukemia Using High-Dimensional Machine Learning and Blood Transcriptomics
iScience·2019· 113 citedOpen Access
Accelerated Genomics Data Processing using Memory-Driven Computing
2019· 5 cited
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Frequent Co-authors

Joachim L. Schultze(22), Jonas Schulte-Schrepping(15), Anna C. Aschenbrenner(14), Thomas Ulas(14), Matthias Becker(12), Lorenzo Bonaguro(11), Kristian Händler(9), Marc Beyer(8), Kevin Baßler(7), Michael Kraut(6), Sach Mukherjee(6), Marie Oestreich(6), Arik Horne(6), Hartmut Schultze(5), Heidi Theis(5), Mihai G. Netea(5), Fabian J. Theis(5), Caterina Carraro(5), Melanie Nuesch-Germano(4), Patrick Günther(4)