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David van Dijk

Yale University · US
Area of research
Molecular Biology · Infectious Diseases
Research interest
Research interests include Single-cell and spatial transcriptomics, Cell Image Analysis Techniques, COVID-19 Clinical Research Studies, and Gene Regulatory Network Analysis.
h-index
40
citations
11,002
works
142
NIH funding
primary concept
Medicine
email

Recent publications

Distinguishing features of long COVID identified through immune profiling
Nature 2023cited by 663position: middledoi
Longitudinal single-cell transcriptional dynamics throughout neurodegeneration in SCA1
Neuron 2023cited by 31position: middledoi
Single-cell multi-omics reveals dyssynchrony of the innate and adaptive immune system in progressive COVID-19
Nature Communications 2022cited by 186position: middledoi
A neutrophil activation signature predicts critical illness and mortality in COVID-19
Blood Advances 2021cited by 349position: middledoi
Single-cell longitudinal analysis of SARS-CoV-2 infection in human airway epithelium identifies target cells, alterations in gene expression, and cell state changes
PLoS Biology 2021cited by 277position: middledoi
A phenomapping-derived tool to personalize the selection of anatomical vs. functional testing in evaluating chest pain (ASSIST)
European Heart Journal 2021cited by 44position: middledoi
Generating hard-to-obtain information from easy-to-obtain information: Applications in drug discovery and clinical inference
Patterns 2021cited by 7position: middledoi
Neuroinvasion of SARS-CoV-2 in human and mouse brain
The Journal of Experimental Medicine 2020cited by 1,031position: middledoi
Genome-wide CRISPR Screens Reveal Host Factors Critical for SARS-CoV-2 Infection
Cell 2020cited by 582position: middledoi
Visualizing structure and transitions in high-dimensional biological data
Nature Biotechnology 2019cited by 1,136position: middledoi
Recovering Gene Interactions from Single-Cell Data Using Data Diffusion
Cell 2018cited by 1,856position: firstdoi
PD-1 marks dysfunctional regulatory T cells in malignant gliomas
JCI Insight 2016cited by 263position: middledoi

Grants

No grants ingested yet.

Frequent collaborators

Smita Krishnaswamy · Yale University4 papers (2016–2021)Kristina Yim · Yale University2 papers (2018–2019)Daniel B. Burkhardt · Cell Medica (Switzerland)2 papers (2019–2021)Guy Wolf · Mila - Quebec Artificial Intelligence Institute2 papers (2018–2019)Kevin R. Moon · Utah State University2 papers (2018–2019)Antonia van den Elzen · Newcastle University1 papers (2019–2019)Daniel E. Lowther · Columbia University1 papers (2016–2016)Helen Parise · Yale Cancer Center1 papers (2021–2021)Eric J. Velazquez · Yale University1 papers (2021–2021)Marc A. Suchard · Charles R. Drew University of Medicine and Science1 papers (2021–2021)Matthew Hirn · Michigan State University1 papers (2019–2019)James A. de Lemos · National Health and Medical Research Council1 papers (2021–2021)Cassandra Burdziak · Memorial Sloan Kettering Cancer Center1 papers (2018–2018) · 1 papers (2016–2016)Roshan Sharma · Memorial Sloan Kettering Cancer Center1 papers (2018–2018)Ambrose Carr · Chan Zuckerberg Initiative (United States)1 papers (2018–2018)Scott Gigante · Immunai (United States)1 papers (2019–2019)Diwakar R. Pattabiraman · Dartmouth College1 papers (2018–2018)Michael Simonov · Ministry of Health1 papers (2021–2021)Linas Mažutis · Vilnius University of Applied Sciences1 papers (2018–2018)