Juliet M. Daniel

4.5k total citations
53 papers, 3.5k citations indexed

About

Juliet M. Daniel is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Juliet M. Daniel has authored 53 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 14 papers in Oncology and 13 papers in Cell Biology. Recurrent topics in Juliet M. Daniel's work include Cancer-related gene regulation (28 papers), Wnt/β-catenin signaling in development and cancer (25 papers) and Epigenetics and DNA Methylation (8 papers). Juliet M. Daniel is often cited by papers focused on Cancer-related gene regulation (28 papers), Wnt/β-catenin signaling in development and cancer (25 papers) and Epigenetics and DNA Methylation (8 papers). Juliet M. Daniel collaborates with scholars based in Canada, United States and United Kingdom. Juliet M. Daniel's co-authors include Albert B. Reynolds, Kevin Kelly, Jing Wu, Pierre D. McCrea, Zhiqian Zhang, M J Wheelock, Margaret J. Wheelock, Reneé C. Ireton, Christopher M. Spring and Molly A. Thoreson and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Cell Biology and PLoS ONE.

In The Last Decade

Juliet M. Daniel

53 papers receiving 3.4k citations

Peers

Juliet M. Daniel

ONCOL

GENET

Jolanda van Hengel Belgium

Anna Elisabetta Salcini Italy

Anirban Datta United States

Anne Blangy France

Akira Imamoto United States

Jörg Stappert Germany

Ichiro Izawa Japan

Jaime Millán Spain

Tomonori Hirose Japan

Pierre Roux France

Jolanda van Hengel Belgium

Juliet M. Daniel

2.4k ×0.8

905 ×0.9

397 ×0.9

ONCOL

296 ×1.0

227 ×0.9

GENET

Citations per year, relative to Juliet M. Daniel Juliet M. Daniel (= 1×) peers Jolanda van Hengel

Countries citing papers authored by Juliet M. Daniel

Since Specialization

Citations

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

Fields of papers citing papers by Juliet M. Daniel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Juliet M. Daniel. 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 Juliet M. Daniel. The network helps show where Juliet M. Daniel may publish in the future.

Co-authorship network of co-authors of Juliet M. Daniel

This figure shows the co-authorship network connecting the top 25 collaborators of Juliet M. Daniel. A scholar is included among the top collaborators of Juliet M. Daniel 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 Juliet M. Daniel. Juliet M. Daniel 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

Richard, François, et al.. (2023). Canonical Kaiso target genes define a functional signature that associates with breast cancer survival and the invasive lobular carcinoma histological type. The Journal of Pathology. 261(4). 477–489. 3 indexed citations

Arulanandam, Rozanne, et al.. (2022). Activated Src requires Cadherin-11, Rac, and gp130 for Stat3 activation and survival of mouse Balb/c3T3 fibroblasts. Cancer Gene Therapy. 29(10). 1502–1513. 4 indexed citations

Mladjenovic, Stefan M., et al.. (2022). Triple-negative breast cancer prevalence in Africa: a systematic review and meta-analysis. BMJ Open. 12(5). e055735–e055735. 25 indexed citations

Koorman, Thijs, Lotte Enserink, Daan Visser, et al.. (2022). Loss of E-cadherin leads to Id2-dependent inhibition of cell cycle progression in metastatic lobular breast cancer. Oncogene. 41(21). 2932–2944. 17 indexed citations

Daniel, Juliet M., et al.. (2022). Roads to Stat3 Paved with Cadherins. Cells. 11(16). 2537–2537. 4 indexed citations

Siddharth, Sumit, Sheetal Parida, Nethaji Muniraj, et al.. (2021). Concomitant activation of GLI1 and Notch1 contributes to racial disparity of human triple negative breast cancer progression. eLife. 10. 11 indexed citations

Pond, Gregory R., et al.. (2020). High triple‐negative breast cancer prevalence and aggressive prognostic factors in Barbadian women with breast cancer. Cancer. 126(10). 2217–2224. 8 indexed citations

Hidalgo‐Sastre, Ana, Zahra Dantes, Rupert Öllinger, et al.. (2020). Loss of Wasl improves pancreatic cancer outcome. JCI Insight. 5(10). 6 indexed citations

Jiménez‐Saiz, Rodrigo, et al.. (2019). Kaiso-induced intestinal inflammation is preceded by diminished E-cadherin expression and intestinal integrity. PLoS ONE. 14(6). e0217220–e0217220. 6 indexed citations

10.

Yates, Clayton, et al.. (2018). Dancing from bottoms up – Roles of the POZ-ZF transcription factor Kaiso in Cancer. Biochimica et Biophysica Acta (BBA) - Reviews on Cancer. 1871(1). 64–74. 25 indexed citations

11.

Zhenilo, Svetlana, et al.. (2017). Kaiso differentially regulates components of the Notch signaling pathway in intestinal cells. Cell Communication and Signaling. 15(1). 24–24. 14 indexed citations

12.

Kwiecień, Jacek M., et al.. (2017). Loss of Kaiso expression in breast cancer cells prevents intra-vascular invasion in the lung and secondary metastasis. PLoS ONE. 12(9). e0183883–e0183883. 9 indexed citations

13.

Longo, Joseph, et al.. (2015). Kaiso overexpression promotes intestinal inflammation and potentiates intestinal tumorigenesis in ApcMin/+ mice. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1852(9). 1846–1855. 24 indexed citations

14.

Longo, Joseph, et al.. (2015). Methylation-dependent regulation of hypoxia inducible factor-1 alpha gene expression by the transcription factor Kaiso. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms. 1849(12). 1432–1441. 25 indexed citations

15.

Yen‐Lieberman, Belinda, et al.. (2011). Identification of False-Positive Syphilis Antibody Results Using a Semiquantitative Algorithm. Clinical and Vaccine Immunology. 18(6). 1038–1040. 13 indexed citations

16.

Nordgaard, Curtis L., et al.. (2010). Kaiso regulates Znf131-mediated transcriptional activation. Experimental Cell Research. 316(10). 1692–1705. 19 indexed citations

17.

Daniel, Juliet M.. (2006). Dancing in and out of the nucleus: p120ctn and the transcription factor Kaiso. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1773(1). 59–68. 95 indexed citations

18.

Daniel, Juliet M., Reneé C. Ireton, & Albert B. Reynolds. (2001). Monoclonal Antibodies to Kaiso: A Novel Transcription Factor and p120 ^ctn -Binding Protein. Hybridoma. 20(3). 159–166. 20 indexed citations

19.

Daniel, Juliet M. & Albert B. Reynolds. (1995). The Tyrosine Kinase Substrate p120 ^cas Binds Directly to E-Cadherin but Not to the Adenomatous Polyposis Coli Protein or α-Catenin. Molecular and Cellular Biology. 15(9). 4819–4824. 183 indexed citations

20.

Reynolds, Albert B., Juliet M. Daniel, Pierre D. McCrea, et al.. (1994). Identification of a New Catenin: the Tyrosine Kinase Substrate p120 ^cas Associates with E-Cadherin Complexes. Molecular and Cellular Biology. 14(12). 8333–8342. 101 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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