Author

J. A. Fallowfield

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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Cancer Biology· 1 Molecular Biology· 1 Pathology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 3 Approach:statistical model· 3 Research Focus:differential expression· 2 Organism:human· 2 Assay:bulk RNA-seq· 1 Approach:experimental assay· 1 Assay:imaging· 1 Organism:mouse· 1

Frequent Co-Authors

T. J. Kendall· 2 shared A. Goralcyzk· 1 shared A. H. Herlihy· 1 shared A. M. Hoy· 1 shared A. R. R. Forrest· 1 shared B. J. Dwyer· 1 shared C. Jackaman· 1 shared C. Mein· 1 shared

Activity by Year

2018-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 16 mutual co-author links

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2 shared papersCancer Biology

T. J. Kendall

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

TLR5 drives metabolic dysfunction-associated steatohepatitis through lipid- and flagellin-induced hepatocyte injury signalling

W. Li, N. Wang, R. Kumar, I. Gines Mir, U. Gill, G. Hood, J. Brindley, C. Mein, J. Boot, R. Wilcox, N. Dufton, R. Goldin, J. Loy, K. Devalia, H. Malik, , W. Alazawi

The paper investigates TLR5's role in MASH and fibrosis using clinical data, single-cell transcriptomics, and in vitro models, finding TLR5 drives hepatocyte injury and fibrosis through flagellin and lipid pathways.

bioRxiv · Feb 7, 2026 · PreprintMolecular Biology

Single Nucleus RNA Sequencing of Pre-Malignant Liver Reveals Disease-Associated Hepatocyte State with HCC Prognostic Potential

R. Carlessi, E. Denisenko, E. Boslem, J. Koehn-Gaone, N. Main, N. D. B. A. Bakar, G. D. Shirolkar, M. Jones, D. Poppe, B. J. Dwyer, C. Jackaman, M. C. Tjiam, R. Lister, M. Karin, J. A. Fallowfield, , J. E. E. Tirnitz-Parker

The paper uses snRNA-seq to identify a disease-associated hepatocyte state in pre-malignant livers that correlates with HCC risk in mice and humans.

bioRxiv · Mar 25, 2022Cancer Biology

Non-invasive Assessment of Liver Disease in Rats Using Multiparametric Magnetic Resonance Imaging: A Feasibility Study

A. M. Hoy, N. McDonald, R. J. Lennen, M. Milanesi, A. H. Herlihy, T. J. Kendall, W. Mungall, M. Gyngell, R. Banerjee, R. L. Janiczek, P. S. Murphy, M. A. Jansen, J. A. Fallowfield

This study evaluates multiparametric MRI in rat models of liver disease, showing correlations between MRI parameters and histopathological measures, particularly for fatty liver disease.

bioRxiv · Feb 7, 2018Pathology