Alison P. McGuigan

4.2k total citations
79 papers, 2.7k citations indexed

About

Alison P. McGuigan is a scholar working on Biomedical Engineering, Oncology and Molecular Biology. According to data from OpenAlex, Alison P. McGuigan has authored 79 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Biomedical Engineering, 27 papers in Oncology and 25 papers in Molecular Biology. Recurrent topics in Alison P. McGuigan's work include 3D Printing in Biomedical Research (43 papers), Cancer Cells and Metastasis (26 papers) and Cellular Mechanics and Interactions (16 papers). Alison P. McGuigan is often cited by papers focused on 3D Printing in Biomedical Research (43 papers), Cancer Cells and Metastasis (26 papers) and Cellular Mechanics and Interactions (16 papers). Alison P. McGuigan collaborates with scholars based in Canada, United States and United Kingdom. Alison P. McGuigan's co-authors include Michael V. Sefton, Elisa D’Arcangelo, George M. Whitesides, Derek A. Bruzewicz, Yusuke Tsukahara, G. A. D. Briggs, John P. Soleas, Thomas K. Waddell, Sergey S. Shevkoplyas and S. Elizabeth Hulme and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nature Materials.

In The Last Decade

Alison P. McGuigan

74 papers receiving 2.7k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Alison P. McGuigan Canada	27	1.5k	618	518	477	444	79	2.7k
Junmin Lee United States	39	2.1k 1.4×	747 1.2×	668 1.3×	422 0.9×	333 0.8×	103	3.8k
Bo Ri Seo United States	24	1.5k 1.0×	629 1.0×	580 1.1×	593 1.2×	564 1.3×	30	3.5k
Marissa Nichole Rylander United States	31	2.4k 1.5×	953 1.5×	676 1.3×	362 0.8×	449 1.0×	81	3.6k
Jason P. Gleghorn United States	33	1.8k 1.2×	521 0.8×	683 1.3×	881 1.8×	630 1.4×	81	3.8k
Li‐Hsin Han United States	21	1.6k 1.0×	424 0.7×	457 0.9×	366 0.8×	295 0.7×	41	2.6k
Gi Seok Jeong South Korea	23	1.9k 1.3×	320 0.5×	499 1.0×	332 0.7×	621 1.4×	48	2.8k
Roman Truckenmüller Netherlands	34	2.4k 1.6×	555 0.9×	831 1.6×	496 1.0×	338 0.8×	101	3.5k
Westbrook M. Weaver United States	15	2.1k 1.4×	561 0.9×	429 0.8×	208 0.4×	268 0.6×	22	3.1k
Elena M. De‐Juan‐Pardo Australia	28	1.9k 1.2×	1.1k 1.7×	367 0.7×	523 1.1×	340 0.8×	71	3.1k
Glauco R. Souza United States	25	1.8k 1.1×	331 0.5×	717 1.4×	253 0.5×	635 1.4×	50	2.8k

Countries citing papers authored by Alison P. McGuigan

Since Specialization

Citations

This map shows the geographic impact of Alison P. McGuigan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Alison P. McGuigan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alison P. McGuigan more than expected).

Fields of papers citing papers by Alison P. McGuigan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alison P. McGuigan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Alison P. McGuigan. The network helps show where Alison P. McGuigan may publish in the future.

Co-authorship network of co-authors of Alison P. McGuigan

This figure shows the co-authorship network connecting the top 25 collaborators of Alison P. McGuigan. A scholar is included among the top collaborators of Alison P. McGuigan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Alison P. McGuigan. Alison P. McGuigan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Landon‐Brace, Natalie, Simon Latour, Brendan T. Innes, et al.. (2025). Analysis of an engineered organoid model of pancreatic cancer identifies hypoxia as a contributing factor in determining transcriptional subtypes. Scientific Reports. 15(1). 23610–23610. 1 indexed citations

Quevedo, Rene, Kebria Hezaveh, Haijiao Liu, et al.. (2024). The use of a multi-metric readout screen to identify EHMT2/G9a-inhibition as a modulator of cancer-associated fibroblast activation state. Biomaterials. 314. 122879–122879.

McGuigan, Alison P., et al.. (2024). Lateral Assessment of Mucomimetic Hydrogels to Evaluate Correlation between Microscopic and Macroscopic Properties. Macromolecular Bioscience. 24(12). e2400146–e2400146.

Xu, Bin, et al.. (2024). Mini-MEndR: a miniaturized 96-well predictive assay to evaluate muscle stem cell-mediated repair. PubMed. 1(1). 5–5. 1 indexed citations

Latour, Simon, et al.. (2023). Characterization of an N -Allylglyoxylamide-Based Bioorthogonal Nitrone Trap. Bioconjugate Chemistry. 34(12). 2358–2365. 1 indexed citations

Peyton, Shelly R., Lesley W. Chow, Stacey D. Finley, et al.. (2023). Synthetic living materials in cancer biology. Nature Reviews Bioengineering. 1(12). 972–988. 12 indexed citations

Latour, Simon, et al.. (2023). An Automation Workflow for High‐Throughput Manufacturing and Analysis of Scaffold‐Supported 3D Tissue Arrays. Advanced Healthcare Materials. 12(19). e2202422–e2202422. 6 indexed citations

Latour, Simon, Ileana L. Co, Natalie Landon‐Brace, et al.. (2022). An Engineered Paper‐Based 3D Coculture Model of Pancreatic Cancer to Study the Impact of Tissue Architecture and Microenvironmental Gradients on Cell Phenotype. Advanced Healthcare Materials. 12(14). e2201846–e2201846. 11 indexed citations

Latour, Simon, et al.. (2022). 3D microgels to quantify tumor cell properties and therapy response dynamics. Biomaterials. 283. 121417–121417. 10 indexed citations

10.

Latour, Simon, et al.. (2022). An off-the-shelf multi-well scaffold-supported platform for tumour organoid-based tissues. Biomaterials. 291. 121883–121883. 10 indexed citations

11.

Co, Ileana L., et al.. (2021). Applications of Omics Technologies for Three-Dimensional In Vitro Disease Models. Tissue Engineering Part C Methods. 27(3). 183–199. 11 indexed citations

12.

Xu, Bin, Majid Ebrahimi, Mohsen Afshar Bakooshli, et al.. (2021). MEndR: An In Vitro Functional Assay to Predict In Vivo Muscle Stem Cell‐Mediated Repair. Advanced Functional Materials. 32(2). 9 indexed citations

13.

Xu, Bin, et al.. (2016). Patterning cellular compartments within TRACER cultures using sacrificial gelatin printing. Biofabrication. 8(3). 35018–35018. 13 indexed citations

14.

Paz, Ana C., et al.. (2014). Micropatterning Cells on Permeable Membrane Filters. Methods in cell biology. 121. 171–189. 5 indexed citations

15.

Paz, Ana C., et al.. (2013). Challenges and Opportunities for Tissue-Engineering Polarized Epithelium. Tissue Engineering Part B Reviews. 20(1). 56–72. 23 indexed citations

16.

Soleas, John P., et al.. (2012). Engineering Airway Epithelium. SHILAP Revista de lepidopterología. 2012. 1–10. 25 indexed citations

17.

McGuigan, Alison P. & Michael V. Sefton. (2008). The thrombogenicity of human umbilical vein endothelial cell seeded collagen modules. Biomaterials. 29(16). 2453–2463. 47 indexed citations

18.

McGuigan, Alison P. & Michael V. Sefton. (2006). Vascularized organoid engineered by modular assembly enables blood perfusion. Proceedings of the National Academy of Sciences. 103(31). 11461–11466. 301 indexed citations

19.

McGuigan, Alison P. & Michael V. Sefton. (2004). DESIGN AND FABRICATION OF A VASCULARISED TISSUE-ENGINEERED CONSTRUCT. Cardiovascular Pathology. 13(3). 182–182. 2 indexed citations

20.

McGuigan, Alison P., G. A. D. Briggs, V. M. Burlakov, M. Yanaka, & Yusuke Tsukahara. (2003). An elastic–plastic shear lag model for fracture of layered coatings. Thin Solid Films. 424(2). 219–223. 76 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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