Author

Mohammad Ali

Queen Mary University of LondonORCID 0000-0002-6035-4076Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Mohammad Ali2 papers · University of Rajshahi

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Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 1 Research Focus:database / resource· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:scRNA-seq· 1 Assay:spatial transcriptomics· 1

Frequent Co-Authors

Bethan Eileen PhillipsiD· 1 shared Changhyun LimiD· 1 shared Claude‐Henry VolmariD· 1 shared Colleen S. DeaneiD· 1 shared Greg SlabaughiD· 1 shared Hamilton RoscheliD· 1 shared Hannah CrosslandiD· 1 shared Iain J. GallagheriD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperGenetic & Genomic Medicine

Bethan Eileen PhillipsORCID

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1 paper

Recent·Most cited

A network-based atlas of human skeletal muscle aging

Tanner Stokes, Changhyun Lim, Mohammad Ali, Jonathan C. Mcleod, Jack Gisby, Katia Mariniello, Hannah Crossland, Jalil-Ahmad Sharif, Colleen S. Deane, Thomas Moseley, Nasim M Ismail, Manoel E. Lixandrão, Claude‐Henry Volmar, Peter James McCormick, Robert James Brogan, , James A. Timmons

This paper develops a network-based atlas of human skeletal muscle aging using transcriptomic data from 1,675 biopsies and multiple single-cell technologies, revealing gene modules and interactions associated with aging and load status.

medRxiv · Feb 17, 2026 · PreprintGenetic & Genomic Medicine