Author

Joshua D. Martinez

University of California, Davis

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

Biology Disciplines

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Pharmacology & Toxicology· 1

Signature Assays, Organisms & Methods

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Approach:machine learning (classical)· 1 Assay:metabolomics· 1 Organism:mouse· 1 Research Focus:spatial domain detection· 1

Frequent Co-Authors

Elizabeth K. NeumanniD· 1 shared Laura S. Van WinkleiD· 1 shared Morgan C. DomanicoiD· 1 shared Nathanial C. StevensiD· 1 shared Oliver FiehniD· 1 shared Tong SheniD· 1 shared Veneese J. B. EvansiD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 21 mutual co-author links

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1 shared paperPharmacology & Toxicology

Elizabeth K. NeumannORCID

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1 paper

Recent·Most cited

Resolving multi-image spatial lipidomic responses to inhaled toxicants by machine learning

Nathanial C. Stevens, Tong Shen, Joshua D. Martinez, Veneese J. B. Evans, Morgan C. Domanico, Elizabeth K. Neumann, Laura S. Van Winkle, Oliver Fiehn

The paper uses machine learning to analyze spatial lipidomic changes in mouse lungs exposed to allergens and ozone, revealing sex-specific lipid distribution differences.

Nature Communications · Mar 26, 2025Peer-reviewedPharmacology & Toxicology