Author

Isabella Withnell

Institutions: Queen Mary University of London, William Harvey Research Institute, University College London

Observed institutions: Queen Mary University of London, William Harvey Research Institute, University College London, Imperial College London

OpenAlex ID: A5093396686

The IL-33/ST2 axis and tissue Treg maintain epithelial homeostasis and restrain cancer development in the skin

2025 · Sophie Ward, Greg Crawford, et al. · Cell Reports · 8

CHIC: A machine learning framework for inferring the presence of high‐risk clonal hematopoiesis using complete blood count data from 431,531 UK Biobank participants

2025 · William G. Dunn, Isabella Withnell, et al. · HemaSphere · 5

Tumor-infiltrating CD27 - IgD - regulatory B cells suppress cytotoxic CD8 + T cell responses in renal cell carcinoma

2025 · Zara Baig, Isabella Withnell, et al. · bioRxiv (Cold Spring Harbor Laboratory) · 1

Machine Learning for Identification of High-Risk Clonal Haematopoiesis Using Blood Count Data

2023 · William G Dunn, Isabella Withnell, et al. · Blood · 1

B-Cell Aware Analysis of Single-Cell Transcriptomics Data

2026 · Joseph C. F. Ng, Raul Ruiz-Hernandez, et al. · Methods in molecular biology

Human-porcine transcriptomics reveals resuscitation-responsive pathways in trauma shock

2026 · Jack S. Gisby, Robert Purcell, et al. · medRxiv

Machine learning framework for predicting the presence of high-risk clonal haematopoiesis using complete blood count data: a population-based study of 431,531 UK Biobank participants

2024 · William G. Dunn, Isabella Withnell, et al. · medRxiv

Works count: 7

Citation count: 15

H-index: 2

I10-index: