Caroline E. Ford

3.0k total citations
73 papers, 2.0k citations indexed

About

Caroline E. Ford is a scholar working on Molecular Biology, Oncology and Reproductive Medicine. According to data from OpenAlex, Caroline E. Ford has authored 73 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 28 papers in Oncology and 20 papers in Reproductive Medicine. Recurrent topics in Caroline E. Ford's work include Cancer Genomics and Diagnostics (15 papers), Ovarian cancer diagnosis and treatment (13 papers) and Wnt/β-catenin signaling in development and cancer (13 papers). Caroline E. Ford is often cited by papers focused on Cancer Genomics and Diagnostics (15 papers), Ovarian cancer diagnosis and treatment (13 papers) and Wnt/β-catenin signaling in development and cancer (13 papers). Caroline E. Ford collaborates with scholars based in Australia, United States and Italy. Caroline E. Ford's co-authors include Wolfgang F. Vogel, William D. Rawlinson, Neville F. Hacker, Claire Henry, Robyn L. Ward, Kristina Warton, Estelle Llamosas, Eve Jary, James S. Lawson and Viola Heinzelmann‐Schwarz and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Cancer Research.

In The Last Decade

Caroline E. Ford

64 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Caroline E. Ford Australia 27 1.0k 647 361 296 253 73 2.0k
Kenichi Takeshita United States 24 975 0.9× 821 1.3× 193 0.5× 431 1.5× 92 0.4× 77 2.7k
William T. Roswit United States 22 680 0.7× 651 1.0× 610 1.7× 562 1.9× 338 1.3× 25 2.2k
Risto Ala‐aho Finland 23 1.3k 1.2× 942 1.5× 977 2.7× 298 1.0× 264 1.0× 27 2.6k
Hong Zhan United Kingdom 22 524 0.5× 519 0.8× 97 0.3× 520 1.8× 143 0.6× 53 1.7k
Marc A. Becker Germany 21 460 0.4× 430 0.7× 163 0.5× 1.2k 3.9× 178 0.7× 37 2.0k
Nicolas Reymond France 18 1.1k 1.1× 902 1.4× 336 0.9× 1.3k 4.3× 257 1.0× 22 2.9k
Michael D. Oberst Germany 29 1.1k 1.0× 473 0.7× 380 1.1× 296 1.0× 283 1.1× 77 2.7k
Fabio Morandi Italy 35 733 0.7× 1.1k 1.7× 280 0.8× 1.9k 6.3× 91 0.4× 94 3.3k
Charlotte Morrison Canada 23 1.0k 1.0× 919 1.4× 1.2k 3.2× 197 0.7× 281 1.1× 30 2.4k
E. Brandt Germany 16 443 0.4× 481 0.7× 174 0.5× 517 1.7× 204 0.8× 19 1.6k

Countries citing papers authored by Caroline E. Ford

Since Specialization
Citations

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

Fields of papers citing papers by Caroline E. Ford

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Caroline E. Ford. 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 Caroline E. Ford. The network helps show where Caroline E. Ford may publish in the future.

Co-authorship network of co-authors of Caroline E. Ford

This figure shows the co-authorship network connecting the top 25 collaborators of Caroline E. Ford. A scholar is included among the top collaborators of Caroline E. Ford 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 Caroline E. Ford. Caroline E. Ford 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.
Liu, Dongli, et al.. (2025). Patient-derived epithelial cell organoids mimic the phenotypic complexity of endometriosis subtypes. Human Reproduction. 41(2). 262–274.
2.
Lee, Yeh Chen, et al.. (2024). Use of cell-free DNA from ascites to identify variants and tumour evolution in a cohort of patients with advanced ovarian cancer.. Journal of Clinical Oncology. 42(16_suppl). 5547–5547.
3.
Ford, Caroline E., et al.. (2024). Circulating cell-free DNA is elevated in postmenopausal compared with pre- and perimenopausal women. Menopause The Journal of The North American Menopause Society. 31(3). 171–175.
4.
Lee, Yeh Chen, et al.. (2024). Cell‐free DNA from ascites identifies clinically relevant variants and tumour evolution in patients with advanced ovarian cancer. Molecular Oncology. 18(11). 2668–2683. 3 indexed citations
5.
Liu, Dongli, et al.. (2024). The Multi‐Kinase Inhibitor GZD824 (Olverembatinib) Shows Pre‐Clinical Efficacy in Endometrial Cancer. Cancer Medicine. 14(1). e70531–e70531.
6.
7.
Ford, Caroline E., et al.. (2023). DNA repair biomarkers to guide usage of combined PARP inhibitors and chemotherapy: A meta-analysis and systematic review. Pharmacological Research. 196. 106927–106927. 10 indexed citations
8.
Liu, Dongli, et al.. (2021). An organotypic model of high-grade serous ovarian cancer to test the anti-metastatic potential of ROR2 targeted Polyion complex nanoparticles. Journal of Materials Chemistry B. 9(44). 9123–9135. 12 indexed citations
9.
Xu, Xing, Yao Wang, Nicole S. Bryce, et al.. (2021). Targeting the actin/tropomyosin cytoskeleton in epithelial ovarian cancer reveals multiple mechanisms of synergy with anti-microtubule agents. British Journal of Cancer. 125(2). 265–276. 10 indexed citations
10.
Henry, Claire, et al.. (2021). Total and endothelial cell-derived cell-free DNA in blood plasma does not change during menstruation. PLoS ONE. 16(4). e0250561–e0250561. 9 indexed citations
11.
Ford, Caroline E., et al.. (2020). The untapped potential of ascites in ovarian cancer research and treatment. British Journal of Cancer. 123(1). 9–16. 160 indexed citations
12.
Ford, Caroline E.. (2018). De la province à la nation. Presses universitaires de Rennes eBooks.
13.
Hesson, Luke B., Sameer Srivastava, Deborah Packham, et al.. (2016). Integrated Genetic, Epigenetic, and Transcriptional Profiling Identifies Molecular Pathways in the Development of Laterally Spreading Tumors. Molecular Cancer Research. 14(12). 1217–1228. 15 indexed citations
14.
Srivastava, Sameer, Estelle Llamosas, Nicholas J. Hawkins, et al.. (2016). ROR2 is epigenetically inactivated in the early stages of colorectal neoplasia and is associated with proliferation and migration. BMC Cancer. 16(1). 508–508. 26 indexed citations
15.
Zuylen, Wendy J. van, Caroline E. Ford, Diana Wong, & William D . Rawlinson. (2015). Human Cytomegalovirus Modulates Expression of Noncanonical Wnt Receptor ROR2 To Alter Trophoblast Migration. Journal of Virology. 90(2). 1108–1115. 22 indexed citations
16.
Henry, Claire, Nicholas J. Hawkins, Eve Jary, et al.. (2014). Expression of the novel Wnt receptor ROR2 is increased in breast cancer and may regulate both β-catenin dependent and independent Wnt signalling. Journal of Cancer Research and Clinical Oncology. 141(2). 243–254. 59 indexed citations
17.
Ford, Caroline E., et al.. (2011). Mouse mammary tumor like virus sequences in breast milk from healthy lactating women. Breast Cancer Research and Treatment. 129(1). 149–155. 30 indexed citations
18.
19.
Lawson, James S., Van Dinh Tran, Eric Carpenter, et al.. (2006). Presence of mouse mammary tumour-like virus gene sequences may be associated with morphology of specific human breast cancer. Journal of Clinical Pathology. 59(12). 1287–1292. 29 indexed citations
20.
Lawson, James S., Van Dinh Tran, Caroline E. Ford, & William D . Rawlinson. (2004). Elevated Expression of the Tumor Suppressing Protein p53 is Associated with the Presence of Mouse Mammary Tumor-Like env Gene Sequences (MMTV-like) in Human Breast Cancer. Breast Cancer Research and Treatment. 87(1). 13–17. 13 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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