Author

Thomas Ragnar Wood

University of WashingtonORCID 0000-0002-1130-2720Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioengineering· 1 Genetics· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 2 Research Focus:benchmarking· 1 Research Focus:cell signaling & trafficking· 1 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Assay:GWAS summary statistics· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Elizabeth A. NanceiD· 2 shared Kylie A. CorryiD· 2 shared Olivia C. BrandoniD· 2 shared Chun‐Long CheniD· 1 shared Daniel H. MoralejoiD· 1 shared Haoyu Wang· 1 shared Hawley HelmbrechtiD· 1 shared Hui DuiD· 1 shared

Activity by Year

2019-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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2 shared papersBioengineering

Elizabeth A. NanceORCID

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3 papers

Recent·Most cited

BioengineeringACS NanoPeer-reviewedApr 13, 2026

Nicotinamide-loaded Peptoid Nanotubes for Energy Regeneration in Acute Brain Injury

Hui Du, Thi Kim Hoang Trinh, Olivia C. Brandon…·Elizabeth A. Nance

This study develops NAM-conjugated peptoid nanotubes to restore energy and reduce inflammation in acute brain injury models.

4 citations

ratexperimental assay

𝕏 PostBluesky

NeuroscienceBioengineering & Translational MedicinePeer-reviewedAug 1, 2025

Multi-modal screening for synergistic neuroprotection of extremely preterm brain injury

Zheyu Ruby Jin, Kylie A. Corry, Olivia C. Brandon…·Thomas Ragnar Wood

The paper shows that combining azithromycin and erythropoietin provides synergistic neuroprotection in an extremely preterm brain injury model.

2 citations

machine learning (classical)drug response / drug discovery

𝕏 PostBluesky

GeneticsbioRxivPreprintSep 11, 2019

Using synthetic datasets to better understand and explain health outcomes associated with common single nucleotide polymorphisms

Thomas Ragnar Wood, Nathan Owens

The paper uses synthetic datasets to show that common SNPs have minimal individual effect on phenotypes, highlighting environmental factors as major contributors to disease risk.

DOI 10.1101/765586

GWAS summary statisticsstatistical model

𝕏 PostBluesky