ResearcherUniversity of TorontoActive in the last 2 years
Alison P. McGuigan
Matched on ORCID iD 0000-0003-2803-0917; OpenAlex author ID A5091416310. Sources: OpenAlex.
Their work
- Papers
- 4 (first author 0, last author 4)
- Trials
- 0
- Grants
- 0
- Labs led
- 1
- Collaborators
- 7
2023: 2 papers · 2024: none · 2025: 2 papers
Papers 4
- Correction: Analysis of an engineered organoid model of pancreatic cancer identifies hypoxia as a contributing factor in determining transcriptional subtypes. Last author DOI 10.1038/s41598-025-18193-6↗
- Analysis of an engineered organoid model of pancreatic cancer identifies hypoxia as a contributing factor in determining transcriptional subtypes. Last author DOI 10.1038/s41598-025-98344-x↗
- An Engineered Paper-Based 3D Coculture Model of Pancreatic Cancer to Study the Impact of Tissue Architecture and Microenvironmental Gradients on Cell Phenotype. Last author DOI 10.1002/adhm.202201846↗
- An Engineered 3D Co-culture Model of Primary Macrophages and Patient-Derived Tumour Cells to Explore Cellular Responses in the Graded Hypoxic Microenvironment … Last author DOI 10.1101/2023.07.13.548899↗
Closest collaborators
The 7 strongest of 7 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.
- Ileana L. Co · 4 shared papers, 2023–2025 · strength 0.79
- Paper Correction: Analysis of an engineered organoid model of pancreatic cancer identifies hypoxia as a contributing factor i… DOI 10.1038/s41598-025-18193-6↗
- Paper Analysis of an engineered organoid model of pancreatic cancer identifies hypoxia as a contributing factor in determinin… DOI 10.1038/s41598-025-98344-x↗
- Paper An Engineered Paper-Based 3D Coculture Model of Pancreatic Cancer to Study the Impact of Tissue Architecture and Microe… DOI 10.1002/adhm.202201846↗
- Natalie Landon‐Brace · 4 shared papers, 2023–2025 · strength 0.79
- Paper Correction: Analysis of an engineered organoid model of pancreatic cancer identifies hypoxia as a contributing factor i… DOI 10.1038/s41598-025-18193-6↗
- Paper Analysis of an engineered organoid model of pancreatic cancer identifies hypoxia as a contributing factor in determinin… DOI 10.1038/s41598-025-98344-x↗
- Paper An Engineered Paper-Based 3D Coculture Model of Pancreatic Cancer to Study the Impact of Tissue Architecture and Microe… DOI 10.1002/adhm.202201846↗
- Jose L. Cadavid Cardenas · 4 shared papers, 2023–2025 · strength 0.79
- Paper Correction: Analysis of an engineered organoid model of pancreatic cancer identifies hypoxia as a contributing factor i… DOI 10.1038/s41598-025-18193-6↗
- Paper Analysis of an engineered organoid model of pancreatic cancer identifies hypoxia as a contributing factor in determinin… DOI 10.1038/s41598-025-98344-x↗
- Paper An Engineered Paper-Based 3D Coculture Model of Pancreatic Cancer to Study the Impact of Tissue Architecture and Microe… DOI 10.1002/adhm.202201846↗
- Hartland Warren Jackson · 3 shared papers, 2023–2025 · strength 0.62
- Paper Correction: Analysis of an engineered organoid model of pancreatic cancer identifies hypoxia as a contributing factor i… DOI 10.1038/s41598-025-18193-6↗
- Paper Analysis of an engineered organoid model of pancreatic cancer identifies hypoxia as a contributing factor in determinin… DOI 10.1038/s41598-025-98344-x↗
- Paper An Engineered Paper-Based 3D Coculture Model of Pancreatic Cancer to Study the Impact of Tissue Architecture and Microe… DOI 10.1002/adhm.202201846↗
- Faiyaz Notta · 2 shared papers, 2025 · strength 0.45
- Paper Correction: Analysis of an engineered organoid model of pancreatic cancer identifies hypoxia as a contributing factor i… DOI 10.1038/s41598-025-18193-6↗
- Paper Analysis of an engineered organoid model of pancreatic cancer identifies hypoxia as a contributing factor in determinin… DOI 10.1038/s41598-025-98344-x↗
- Barbara T. Grünwald · 1 shared paper, 2023 · strength 0.18
- Tracy L McGaha · 1 shared paper, 2023 · strength 0.17
How to reach this person
A chain of introductions through people who have published, run trials or held grants together (warm_path@1: fewest links first, then the strongest). Built from public records only; no contact details are kept.