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Daniel Johannes Stekhoven

Computational Biology

ETH Zurich

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About Daniel Johannes Stekhoven at ETH Zurich (ETH)

Based at ETH Zurich, Daniel Johannes Stekhoven focuses their scholarly efforts on cancer genomics, single-cell transcriptomics, spatial transcriptomics, machine learning, bioinformatics, genomic diagnostics, computational oncology, reproducibility, bridging the gap between theory and practice in cancer genomics. A representative example of their recent contribution is the study titled "Genomic reproducibility in the bioinformatics era", which offers critical insights into the dynamics of cancer genomics and single-cell transcriptomics. Additional work such as "Machine learning analysis of humoral and cellular responses to SARS-CoV-2 infection in young adults" further demonstrates their commitment to advancing knowledge in this domain.

Research Areas

cancer genomicssingle-cell transcriptomicsspatial transcriptomicsmachine learningbioinformaticsgenomic diagnosticscomputational oncologyreproducibility
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Academic Impact Matrix

Research output metrics for Daniel Johannes Stekhoven aggregated from public academic databases. Student lab experience data is pending.

Academic data verified · April 2026 · Next sync: May 2026

Research Output

Total Citations7,868

Emerging researcher

Publications64

Selective publication record

h-index21

Developing track record

i10-index33

Growing portfolio

Lab Environment

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Top Publications

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