Author

Sarah Johnson

Northwell Health

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Same name, identified by ORCID

Biology Disciplines

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Genetic & Genomic Medicine· 1 Genomics· 1 Microbiology· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Organism:human· 2 Organism:mouse· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Research Focus:host-pathogen & immune response· 1

Frequent Co-Authors

Aamir Butt· 1 shared Alanna CallendrelloiD· 1 shared Alex GreyiD· 1 shared Alex V. Anstey· 1 shared Alexandra Bonsall· 1 shared Alexandre R. FrancoiD· 1 shared Alison Godwin· 1 shared Alison LaytoniD· 1 shared

Activity by Year

2022-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 22 mutual co-author links

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1 shared paperGenetic & Genomic Medicine

Aamir Butt

Mutual co-authors in cluster

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4 papers

Recent·Most cited

Spatial Transcriptomic Profiling Reveals Microenvironment-Dependent Immune Signatures in a Lyme Arthritis model

Kaitlyn Gura, Mollie Hostetter, Veena Potluri, Michael Hill, Sarah Johnson, Yuelin Zhong, Eleanor Astley, Tanja Petnicki‐Ocwieja, Suba Nookala, Catherine Ayn Brissette, Archana Dhasarathy

This study uses spatial transcriptomics to analyze immune signatures in Lyme arthritis, showing spatially restricted gene expression patterns and microenvironment-dependent immune responses in infected mouse joints.

bioRxiv · Jun 25, 2026 · PreprintMicrobiology

Temporal Dynamics of BOLD fMRI Predict Intracranially-Confirmed Seizure Onset Zones in Drug-Resistant Epilepsy

Karl‐Heinz Nenning, Erkam Zengin, Ting Xu, Elisabeth Freund, Noah Markowitz, Sarah Johnson, Silvia Beatrice Bonelli, Alexandre R. Franco, Stanley J. Colcombe, Michael Peter Milham, Ashesh D. Mehta, Stephan Bickel

This study uses resting-state fMRI to predict seizure onset zones in drug-resistant epilepsy patients, achieving high accuracy in identifying epileptogenic regions non-invasively.

bioRxiv · Apr 20, 2026 · PreprintNeuroscience

Genetic liability to psoriasis predicts severe disease outcomes

Jake R. Saklatvala, Samuel Lessard, Maris Teder‐Laving, Laurent F. Thomas, Ravi Ramessur, Jonas Zierer, Bjørn Olav Åsvold, Anne C Barton, David Baudry, John Bowes, Ben Michael Brumpton, Sandro Bruno, Vinod Chandran, Clément Chatelain, Emanuele de Rinaldis, , Kathy Sands

This study identifies genetic risk factors associated with severe psoriasis and shows that polygenic risk scores can predict severe disease outcomes better than traditional risk factors.

Genome Medicine · Dec 17, 2025Peer-reviewedGenetic & Genomic Medicine

Beyond consensus sequence: a quantitative scheme for inferring transmission using deep sequencing in a bacterial transmission model

Madikay Senghore, Hannah M. Read, Priyali Oza, Sarah Johnson, Hemanoel Passarelli‐Araujo, Bradford P. Taylor, Stephen Ashley, Alex Grey, Alanna Callendrello, Robyn S. Lee, Matthew R. Goddard, Thomas Lumley, William Paul Hanage, Siouxsie Wiles

The paper develops a model to infer bacterial transmission using deep sequencing data from a mouse model, showing that within-host variant abundance differences can accurately identify transmission pairs.

bioRxiv · Oct 17, 2022 · PreprintGenomics