Caroline E. Ford

3.0k citations
75 papers · 2.1k · h-index 27

Impact in

Papers in

    • Wnt/β-catenin signaling in development and cancer 14
    • Cancer-related gene regulation 4
    • Cancer Cells and Metastasis 6
    • PARP inhibition in cancer therapy 4

Caroline E. Ford

67 papers receiving 2.0k citations

Peers

Caroline E. Ford
Comparison fields: 5 of 119
  • Immunology and Allergy 256
  • Cancer Research 320
  • Oncology 572
  • Reproductive Medicine 176
  • Molecular Biology 905
Replace Charlotte Morrison with:
Charlotte Morrison Canada
Fabio Morandi Italy
Hong Zhan United Kingdom
E. Brandt Germany
Inga‐Lill Mårtensson Sweden
Frosty Loechel Denmark
Jivko Kamarashev Switzerland
T Torigoe Japan
Guitta Maki France
Bart Jonckx Belgium
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Citations per field
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Charlotte Morrison · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Caroline E. Ford, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Caroline E. Ford Line = papers co-authored together Caroline E. Ford links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006289
2 2020171
3 2007115
4 2013107
5
Mouse mammary tumor virus-like gene sequences in breast tumors of Australian and Vietnamese women.
200393
6 201377
7 201264
8 201763
9 201460
10 201560
11 200653
12 201252
13 200451
14 201451
15 201648
16 201639
17 200438
18 200437
19 200433
20 201532

About Caroline E. Ford

Caroline E. Ford is a scholar working on Molecular Biology, Oncology, Cancer Research, Reproductive Medicine and Obstetrics and Gynecology, having authored 75 papers that have together received 2.1k indexed citations. Recurring topics across this work include Wnt/β-catenin signaling in development and cancer (14 papers), Cancer Genomics and Diagnostics (14 papers), Endometriosis Research and Treatment (7 papers), Ovarian cancer diagnosis and treatment (7 papers), Cancer Cells and Metastasis (6 papers), Endometrial and Cervical Cancer Treatments (6 papers), Cancer-related gene regulation (4 papers) and PARP inhibition in cancer therapy (4 papers). The work is most often cited by research in Immunology and Allergy (256 citations), Cancer Research (320 citations), Oncology (572 citations), Reproductive Medicine (176 citations) and Molecular Biology (905 citations). Caroline E. Ford has collaborated with scholars based in Australia, United States and Italy. Frequent co-authors include Wolfgang F. Vogel, William D. Rawlinson, Neville F. Hacker, Claire Henry, Robyn L. Ward, Kristina Warton, Bonnita Werner, Estelle Llamosas, James S. Lawson and Eve Jary. Their work appears in journals such as Clinical Cancer Research, Gynecologic Oncology, PLoS ONE, Scientific Reports and British Journal of Cancer.

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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