Author

J. N. Dodds

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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Biochemistry· 2 Pharmacology & Toxicology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Research Focus:differential expression· 1 Research Focus:ecology & biodiversity· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:metabolomics· 1 Assay:metagenomics· 1 Assay:proteomics· 1

Frequent Co-Authors

E. S. Baker· 2 shared A. K. Boatman· 1 shared C. A. Aspinwall· 1 shared C. Watson· 1 shared C.-C. Hsieh· 1 shared E. Baker· 1 shared F. Fernandez· 1 shared J. B. Powers· 1 shared

Activity by Year

2021-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 19 mutual co-author links

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2 shared papersBiochemistry

E. S. Baker

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Characterizing Adeno-Associated Virus Capsids with both Denaturing and Intact Analysis Methods

J. P. Ryan, M. M. Kostelic, C.-C. Hsieh, J. B. Powers, C. A. Aspinwall, J. N. Dodds, J. E. Schiel, M. T. Marty, E. S. Baker

The paper combines two analytical methods to characterize AAV capsids and their subunits, evaluating capsid integrity and VP sequence variations across three serotypes.

Journal of the American Society for Mass Spectrometry · Nov 27, 2023Peer-reviewedBiochemistry

Assessing Per- and Polyfluoroalkyl Substances (PFAS) in Fish Fillet Using Non-Targeted Analyses

A. K. Boatman, J. R. Chappel, M. E. Polera, J. N. Dodds, S. M. Belcher, E. S. Baker

The paper assesses PFAS in fish fillets from North Carolina using non-targeted analyses, detecting 36 PFAS including 19 not found by routine methods and high PFOS levels.

bioRxiv · Sep 1, 2023Pharmacology & Toxicology

Uncovering Xenobiotics in the Dark Metabolome using Ion Mobility Spectrometry, Mass Defect Analysis and Machine Learning

M. Foster, M. Rainey, C. Watson, J. N. Dodds, F. Fernandez, E. Baker

The paper develops a workflow combining ion mobility spectrometry, mass defect analysis, and machine learning to identify xenobiotics in metabolomic data, successfully annotating PFAS in human serum.

bioRxiv · Nov 21, 2021 · PreprintBiochemistry