Luke McCaffrey

2.5k total citations
45 papers, 1.7k citations indexed

About

Luke McCaffrey is a scholar working on Cell Biology, Molecular Biology and Oncology. According to data from OpenAlex, Luke McCaffrey has authored 45 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Cell Biology, 20 papers in Molecular Biology and 19 papers in Oncology. Recurrent topics in Luke McCaffrey's work include Cancer Cells and Metastasis (14 papers), Hippo pathway signaling and YAP/TAZ (14 papers) and Wnt/β-catenin signaling in development and cancer (13 papers). Luke McCaffrey is often cited by papers focused on Cancer Cells and Metastasis (14 papers), Hippo pathway signaling and YAP/TAZ (14 papers) and Wnt/β-catenin signaling in development and cancer (13 papers). Luke McCaffrey collaborates with scholars based in Canada, United States and United Kingdom. Luke McCaffrey's co-authors include Ian G. Macara, Ruba Halaoui, Sara Al Habyan, JoAnne Montalbano, Christopher Moraes, Éric Granger, Soufiane Belharbi, Ismail Ben Ayed, Anne M. Archibald and Carlis Rejon and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Luke McCaffrey

41 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Luke McCaffrey Canada 20 926 716 423 202 202 45 1.7k
Jörg Schrader Germany 18 434 0.5× 322 0.4× 664 1.6× 277 1.4× 201 1.0× 52 1.6k
Jay M. Campbell United States 7 809 0.9× 915 1.3× 583 1.4× 81 0.4× 576 2.9× 12 2.0k
John G. Lock Australia 23 1.1k 1.1× 1.0k 1.4× 219 0.5× 187 0.9× 305 1.5× 43 2.0k
Edroaldo Lummertz da Rocha United States 19 1.4k 1.5× 269 0.4× 186 0.4× 223 1.1× 185 0.9× 47 2.1k
Winfried Wiegraebe United States 9 1.1k 1.2× 269 0.4× 197 0.5× 236 1.2× 187 0.9× 11 2.1k
Maria Carla Parrini France 20 904 1.0× 701 1.0× 424 1.0× 137 0.7× 356 1.8× 43 1.7k
Cheng-Gee Koh Singapore 22 1.6k 1.7× 955 1.3× 358 0.8× 147 0.7× 170 0.8× 51 2.3k
Abbas Shirinifard United States 17 591 0.6× 437 0.6× 281 0.7× 65 0.3× 262 1.3× 32 1.3k
Valérie Petit France 20 1.0k 1.1× 622 0.9× 566 1.3× 190 0.9× 99 0.5× 40 1.8k
Shur‐Jen Wang United States 21 848 0.9× 275 0.4× 213 0.5× 182 0.9× 642 3.2× 45 1.9k

Countries citing papers authored by Luke McCaffrey

Since Specialization
Citations

This map shows the geographic impact of Luke McCaffrey'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 Luke McCaffrey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luke McCaffrey more than expected).

Fields of papers citing papers by Luke McCaffrey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luke McCaffrey. 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 Luke McCaffrey. The network helps show where Luke McCaffrey may publish in the future.

Co-authorship network of co-authors of Luke McCaffrey

This figure shows the co-authorship network connecting the top 25 collaborators of Luke McCaffrey. A scholar is included among the top collaborators of Luke McCaffrey 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 Luke McCaffrey. Luke McCaffrey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Meunier, Anne, Laudine Communal, Sara Al Habyan, et al.. (2025). Gravity-based microfiltration reveals unexpected prevalence of circulating tumor cell clusters in ovarian and colorectal cancer. Communications Medicine. 5(1). 33–33.
2.
Belharbi, Soufiane, et al.. (2025). CoLo-CAM: Class activation mapping for object co-localization in weakly-labeled unconstrained videos. Pattern Recognition. 162. 111358–111358.
3.
Belharbi, Soufiane, et al.. (2024). Source-Free Domain Adaptation of Weakly-Supervised Object Localization Models for Histology. Espace ÉTS (ETS). 33–43. 2 indexed citations
4.
Rony, Jérôme, Soufiane Belharbi, José Dolz, et al.. (2023). Deep Weakly-Supervised Learning Methods for Classification and Localization in Histology Images: A Survey. arXiv (Cornell University). 2(March 2023). 96–150. 13 indexed citations
5.
Guiot, Marie‐Christine, et al.. (2023). LGN loss randomizes spindle orientation and accelerates tumorigenesis in PTEN-deficient epidermis. Molecular Biology of the Cell. 35(2). br5–br5.
6.
Lelarge, Virginie, et al.. (2023). Ultrasoft edge-labelled hydrogel sensors reveal internal tissue stress patterns in invasive engineered tumors. Biomaterials. 296. 122073–122073. 8 indexed citations
7.
Jangal, Maïka, Tiejun Zhao, Cheng Kit Wong, et al.. (2022). 3D chromatin remodeling potentiates transcriptional programs driving cell invasion. Proceedings of the National Academy of Sciences. 119(36). e2203452119–e2203452119. 10 indexed citations
8.
Belharbi, Soufiane, Jérôme Rony, José Dolz, et al.. (2021). Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images via Max-Min Uncertainty. IEEE Transactions on Medical Imaging. 41(3). 702–714. 39 indexed citations
9.
Brown, Claire M., et al.. (2021). CD13 orients the apical-basal polarity axis necessary for lumen formation. Nature Communications. 12(1). 4697–4697. 15 indexed citations
10.
Halaoui, Ruba, et al.. (2021). Architectural control of metabolic plasticity in epithelial cancer cells. Communications Biology. 4(1). 371–371. 17 indexed citations
11.
Ear, Jason, Amer Ali Abd El‐Hafeez, Suchismita Roy, et al.. (2021). A long isoform of GIV/Girdin contains a PDZ-binding module that regulates localization and G-protein binding. Journal of Biological Chemistry. 296. 100493–100493. 4 indexed citations
12.
Belharbi, Soufiane, Jérôme Rony, José Dolz, et al.. (2019). Weakly Supervised Object Localization using Min-Max Entropy: an Interpretable Framework.. arXiv (Cornell University). 1 indexed citations
13.
Belharbi, Soufiane, Ismail Ben Ayed, Luke McCaffrey, & Éric Granger. (2019). Deep Ordinal Classification with Inequality Constraints.. arXiv (Cornell University). 4 indexed citations
14.
Halaoui, Ruba, Elena Kuzmin, Andrew J. Putnam, et al.. (2019). Dispersible hydrogel force sensors reveal patterns of solid mechanical stress in multicellular spheroid cultures. Nature Communications. 10(1). 144–144. 98 indexed citations
15.
Rejon, Carlis, et al.. (2016). Cell Polarity Proteins in Breast Cancer Progression. Journal of Cellular Biochemistry. 117(10). 2215–2223. 20 indexed citations
16.
Archibald, Anne M., et al.. (2015). Atypical protein kinase C induces cell transformation by disrupting Hippo/Yap signaling. Molecular Biology of the Cell. 26(20). 3578–3595. 42 indexed citations
17.
McCaffrey, Luke, et al.. (2014). Emerging role of cell polarity proteins in breast cancer progression and metastasis. Breast Cancer Targets and Therapy. 6. 15–15. 38 indexed citations
18.
McCaffrey, Luke & Ian G. Macara. (2012). Signaling Pathways in Cell Polarity. Cold Spring Harbor Perspectives in Biology. 4(6). a009654–a009654. 78 indexed citations
19.
McCaffrey, Luke & Ian G. Macara. (2011). Epithelial organization, cell polarity and tumorigenesis. Trends in Cell Biology. 21(12). 727–735. 190 indexed citations
20.
McCaffrey, Luke & Ian G. Macara. (2009). Widely Conserved Signaling Pathways in the Establishment of Cell Polarity. Cold Spring Harbor Perspectives in Biology. 1(2). a001370–a001370. 77 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026