David van Dijk
Publications by Year
Research Areas
Single-cell and spatial transcriptomics, Cell Image Analysis Techniques, COVID-19 Clinical Research Studies, Gene Regulatory Network Analysis, SARS-CoV-2 and COVID-19 Research
Most-Cited Works
- → Recovering Gene Interactions from Single-Cell Data Using Data Diffusion(2018)1,833 cited
- → Visualizing structure and transitions in high-dimensional biological data(2019)1,114 cited
- → Neuroinvasion of SARS-CoV-2 in human and mouse brain(2020)1,023 cited
- → Distinguishing features of long COVID identified through immune profiling(2023)633 cited
- → Genome-wide CRISPR Screens Reveal Host Factors Critical for SARS-CoV-2 Infection(2020)579 cited
- → Exploring single-cell data with deep multitasking neural networks(2019)348 cited
- → A neutrophil activation signature predicts critical illness and mortality in COVID-19(2021)347 cited
- → Development and Validation of the Quick COVID-19 Severity Index: A Prognostic Tool for Early Clinical Decompensation(2020)304 cited
- → Single-cell longitudinal analysis of SARS-CoV-2 infection in human airway epithelium identifies target cells, alterations in gene expression, and cell state changes(2021)270 cited
- → PD-1 marks dysfunctional regulatory T cells in malignant gliomas(2016)258 cited