Trevor Dale

8.8k total citations · 1 hit paper
69 papers, 6.6k citations indexed

About

Trevor Dale is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Trevor Dale has authored 69 papers receiving a total of 6.6k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Molecular Biology, 17 papers in Oncology and 14 papers in Genetics. Recurrent topics in Trevor Dale's work include Wnt/β-catenin signaling in development and cancer (36 papers), Cancer-related gene regulation (26 papers) and Kruppel-like factors research (7 papers). Trevor Dale is often cited by papers focused on Wnt/β-catenin signaling in development and cancer (36 papers), Cancer-related gene regulation (26 papers) and Kruppel-like factors research (7 papers). Trevor Dale collaborates with scholars based in United Kingdom, United States and Netherlands. Trevor Dale's co-authors include Matthew J. Smalley, Neville Young, George R. Stark, Ian M. Kerr, Elizabeth Fraser, Rana Dajani, Laurence H. Pearl, S. Mark Roe, Valerie M. Good and David P. Cook and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Trevor Dale

67 papers receiving 6.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Crystal Structure of Glycogen Synthase Kinase 3β

2001 558 citations Elizabeth Fraser, Trevor Dale et al. profile →

Peers

Trevor Dale

MB

ONCOL

GENET

IMMUN

CB

Klaus P. Hoeflich United States

David C. Hancock United Kingdom

Michael F. Moran Canada

Catrin Pritchard United Kingdom

Hans van Dam Netherlands

Kentaro Semba Japan

Eugenio Santos Spain

Rikiro Fukunaga Japan

Anke Klippel United States

Anne Fernandez France

Klaus P. Hoeflich United States

Trevor Dale

4.8k ×1.0

MB

2.0k ×1.2

ONCOL

680 ×0.8

GENET

572 ×0.7

IMMUN

570 ×0.8

CB

Citations per year, relative to Trevor Dale Trevor Dale (= 1×) peers Klaus P. Hoeflich

Countries citing papers authored by Trevor Dale

Since Specialization

Citations

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

Fields of papers citing papers by Trevor Dale

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Trevor Dale

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Huebner, K, et al.. (2025). A floating collagen matrix triggers ring formation and stemness characteristics in human colorectal cancer organoids. Pathology - Research and Practice. 269. 155890–155890.

2.

Engel, Rebekah, Thierry Jardé, Karen Oliva, et al.. (2022). Modeling colorectal cancer: A bio‐resource of 50 patient‐derived organoid lines. Journal of Gastroenterology and Hepatology. 37(5). 898–907. 16 indexed citations

3.

Pope, Iestyn, Francesco Masia, Kenneth Ewan, et al.. (2021). Identifying subpopulations in multicellular systems by quantitative chemical imaging using label-free hyperspectral CARS microscopy. The Analyst. 146(7). 2277–2291. 11 indexed citations

4.

Dale, Trevor, et al.. (2021). A General Computational Framework for COVID-19 Modelling with Applications to Testing Varied Interventions in Education Environments. COVID. 1(4). 674–703. 3 indexed citations

5.

Young, Rodrigo, Kenneth Ewan, Miguel L. Allende, et al.. (2019). Developmentally regulated Tcf7l2 splice variants mediate transcriptional repressor functions during eye formation. eLife. 8. 8 indexed citations

6.

Dale, Trevor, et al.. (2019). Wnt ligand and receptor patterning in the liver. Current Opinion in Cell Biology. 62. 17–25. 4 indexed citations

7.

Harrington, Heather A., Keith Brennan, Trevor Dale, et al.. (2017). The role of the Hes1 crosstalk hub in Notch-Wnt interactions of the intestinal crypt. PLoS Computational Biology. 13(2). e1005400–e1005400. 65 indexed citations

8.

Dietrich, L., Kenneth Ewan, Tanja Bange, et al.. (2017). Cell Permeable Stapled Peptide Inhibitor of Wnt Signaling that Targets β-Catenin Protein-Protein Interactions. Cell chemical biology. 24(8). 958–968.e5. 91 indexed citations

9.

Lloyd‐Lewis, Bethan, Alexander G. Fletcher, Trevor Dale, & Helen M. Byrne. (2013). Toward a quantitative understanding of the Wnt/β‐catenin pathway through simulation and experiment. WIREs Systems Biology and Medicine. 5(4). 391–407. 29 indexed citations

10.

Fraser, Elizabeth, et al.. (2011). Amyloid-Associated Nucleic Acid Hybridisation. PLoS ONE. 6(5). e19125–e19125. 37 indexed citations

11.

Ewan, Kenneth, Bożena Pająk, Mark Stubbs, et al.. (2010). A Useful Approach to Identify Novel Small-Molecule Inhibitors of Wnt-Dependent Transcription. Cancer Research. 70(14). 5963–5973. 86 indexed citations

12.

Ewan, Kenneth & Trevor Dale. (2008). The Potential for Targeting Oncogenic WNT/β -Catenin Signaling in Therapy. Current Drug Targets. 9(7). 532–547. 22 indexed citations

13.

Jonker, Johan W., Gracia Merino, Antonius E. van Herwaarden, et al.. (2005). The breast cancer resistance protein BCRP (ABCG2) concentrates drugs and carcinogenic xenotoxins into milk. Nature Medicine. 11(2). 127–129. 318 indexed citations

14.

Alvi, Azra, Helen Clayton, Chirag Joshi, et al.. (2002). Functional and molecular characterisation of mammary side population cells. Breast Cancer Research. 5(1). R1–8. 238 indexed citations

15.

Smalley, Matthew J. & Trevor Dale. (2001). Wnt Signaling and Mammary Tumorigenesis. Journal of Mammary Gland Biology and Neoplasia. 6(1). 37–52. 60 indexed citations

16.

Smalley, Matthew J., Elizabeth Sara, Hugh Paterson, et al.. (1999). Interaction of Axin and Dvl-2 proteins regulates Dvl-2-stimulated TCF-dependent transcription. The EMBO Journal. 18(10). 2823–2835. 205 indexed citations

17.

Smalley, Matthew J. & Trevor Dale. (1999). Wnt Signalling in Mammalian Development and Cancer. Cancer and Metastasis Reviews. 18(2). 215–230. 179 indexed citations

18.

Bradbury, Jane M., Paul A. Edwards, Christina C. Niemeyer, & Trevor Dale. (1995). Wnt-4 Expression Induces a Pregnancy-like Growth Pattern in Reconstituted Mammary Glands in Virgin Mice. Developmental Biology. 170(2). 553–563. 92 indexed citations

19.

Dale, Trevor, et al.. (1992). High-Level Expression of the Rat Whey Acidic Protein Gene Is Mediated by Elements in the Promoter and 3' Untranslated Region. Molecular and Cellular Biology. 12(3). 905–914. 22 indexed citations

20.

Imam, A., Andrew M. Ackrill, Trevor Dale, Ian M. Kerr, & George R. Stark. (1990). Transcription factors induced by interferons α and γ. Nucleic Acids Research. 18(22). 6573–6580. 72 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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