Author

Hazel Y. Stevens

Georgia Institute of TechnologyORCID 0000-0002-1324-6507Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:machine learning (classical)· 2 Assay:scRNA-seq· 2 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Assay:metabolomics· 1

Frequent Co-Authors

Carolyn Yeago· 2 shared Hicham DrissiiD· 2 shared Kenneth MautneriD· 2 shared Krishnendu RoyiD· 2 shared Linda E. KippneriD· 2 shared Paramita ChatterjeeiD· 2 shared Scott D. BodeniD· 2 shared Abhishek Ojha· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 43 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Carolyn Yeago

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2 papers

Recent·Most cited

Single-Cell Transcriptomics of Multi-Site Cell Therapy in Osteoarthritis: Tissue-Specific Traits and Treatment Correlations

Paramita Chatterjee, Hazel Y. Stevens, Linda E. Kippner, Carolyn Yeago, Hicham Drissi, Kenneth Mautner, Scott D. Boden, Greg C. Gibson, Krishnendu Roy

This study uses single-cell RNA sequencing to analyze cell therapy samples in osteoarthritis, identifying tissue-specific pathways and treatment correlations while highlighting challenges in patient heterogeneity.

Molecular Therapy — Nucleic Acids · Jan 20, 2026Peer-reviewedGenetic & Genomic Medicine

Multi-omics integration at cell type resolution uncovers gene-metabolite mechanisms underlying osteoarthritis heterogeneity

Abhishek Ojha, Paramita Chatterjee, Linda E. Kippner, Hazel Y. Stevens, Scott D. Boden, Hicham Drissi, Kenneth Mautner, Carolyn Yeago, Krishnendu Roy, Saurabh Sinha

The paper integrates metabolomics and single-cell transcriptomics to uncover gene-metabolite mechanisms driving osteoarthritis heterogeneity.

bioRxiv · Sep 26, 2025 · PreprintBioinformatics