Kate Downey

1.3k total citations · 1 hit paper
29 papers, 767 citations indexed

About

Kate Downey is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Cancer Research. According to data from OpenAlex, Kate Downey has authored 29 papers receiving a total of 767 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Oncology and 8 papers in Cancer Research. Recurrent topics in Kate Downey's work include Radiomics and Machine Learning in Medical Imaging (8 papers), Breast Cancer Treatment Studies (8 papers) and MRI in cancer diagnosis (7 papers). Kate Downey is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (8 papers), Breast Cancer Treatment Studies (8 papers) and MRI in cancer diagnosis (7 papers). Kate Downey collaborates with scholars based in United Kingdom, United States and Denmark. Kate Downey's co-authors include Dow‐Mu Koh, Nandita M. deSouza, Christina Messiou, Santosh Kumar, Simon Doran, Matthew Orton, James P.B. O’Connor, Nickolas Papanikolaou, Derfel ap Dafydd and Joshua Shur and has published in prestigious journals such as Journal of Clinical Oncology, Cancer Research and American Journal of Roentgenology.

In The Last Decade

Kate Downey

28 papers receiving 752 citations

Hit Papers

Radiomics in Oncology: A Practical Guide 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kate Downey United Kingdom 12 443 168 127 124 115 29 767
Foucauld Chamming’s France 11 380 0.9× 111 0.7× 101 0.8× 138 1.1× 86 0.7× 34 642
Dengbin Wang China 19 452 1.0× 111 0.7× 45 0.4× 241 1.9× 70 0.6× 48 891
Eun Kyoung Hong South Korea 14 357 0.8× 225 1.3× 55 0.4× 186 1.5× 85 0.7× 42 826
Anne Kathrin Höhn Germany 16 382 0.9× 138 0.8× 250 2.0× 142 1.1× 70 0.6× 69 862
Penelope Moyle United Kingdom 13 240 0.5× 155 0.9× 240 1.9× 103 0.8× 259 2.3× 28 762
James Wheeler United States 8 341 0.8× 206 1.2× 209 1.6× 101 0.8× 57 0.5× 21 798
Sandeep Ghai Canada 17 272 0.6× 132 0.8× 27 0.2× 184 1.5× 84 0.7× 44 889
Yee Liang Thian Singapore 13 296 0.7× 160 1.0× 52 0.4× 164 1.3× 30 0.3× 44 814
Rosa Autorino Italy 20 293 0.7× 250 1.5× 167 1.3× 234 1.9× 48 0.4× 49 875
Fang‐I Lu Canada 16 244 0.6× 228 1.4× 45 0.4× 309 2.5× 181 1.6× 41 794

Countries citing papers authored by Kate Downey

Since Specialization
Citations

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

Fields of papers citing papers by Kate Downey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kate Downey

This figure shows the co-authorship network connecting the top 25 collaborators of Kate Downey. A scholar is included among the top collaborators of Kate Downey 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 Kate Downey. Kate Downey 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.
Barry, Peter, Anna Heeney, Edward St John, et al.. (2023). Clinical utility of axillary nodal markers in breast cancer. European Journal of Surgical Oncology. 49(4). 709–715. 7 indexed citations
2.
Robert, Marie, Nina Tunariu, Stephen Johnston, et al.. (2023). Imaging in metastatic breast cancer, CT, PET/CT, MRI, WB-DWI, CCA: review and new perspectives. Cancer Imaging. 23(1). 53–53. 24 indexed citations
3.
Bhaludin, Basrull, Nina Tunariu, Dow‐Mu Koh, et al.. (2022). A review on the added value of whole-body MRI in metastatic lobular breast cancer. European Radiology. 32(9). 6514–6525. 9 indexed citations
4.
Downey, Kate, et al.. (2022). Posterior reversible encephalopathy syndrome associated with use of Atezolizumab for the treatment of relapsed triple negative breast cancer. Cancer Treatment and Research Communications. 31. 100548–100548. 6 indexed citations
5.
Bhaludin, Basrull, Nina Tunariu, Neil Soneji, et al.. (2022). Does the addition of whole-body MRI to routine imaging influence real-world treatment decisions in metastatic breast cancer?. Cancer Imaging. 22(1). 26–26. 3 indexed citations
6.
Messiou, Christina, Jessica Winfield, Alexandra Renn, et al.. (2021). CT-Based Pelvic T1-Weighted MR Image Synthesis Using UNet, UNet++ and Cycle-Consistent Generative Adversarial Network (Cycle-GAN). Frontiers in Oncology. 11. 665807–665807. 28 indexed citations
8.
Downey, Kate, et al.. (2021). Well-documented benign sonographic characteristics are rarely seen in malignant masses: is now the time to biopsy less?. Clinical Radiology. 76(10). 787.e9–787.e13. 1 indexed citations
9.
Battisti, Nicolò Matteo Luca, Jennifer Rusby, Alistair Ring, et al.. (2021). Microcalcifications after neoadjuvant chemotherapy for breast cancer in women achieving pathologic complete response of the invasive disease: do they matter?. The Breast. 56. S56–S56. 1 indexed citations
11.
Pesapane, Filippo, Kate Downey, Anna Rotili, Enrico Cassano, & Dow‐Mu Koh. (2020). Imaging diagnosis of metastatic breast cancer. Insights into Imaging. 11(1). 79–79. 56 indexed citations
12.
Riddell, Angela M., Dow‐Mu Koh, Kate Downey, et al.. (2020). Inter-observer agreement of baseline whole body MRI in multiple myeloma. Cancer Imaging. 20(1). 48–48. 6 indexed citations
13.
Tasoulis, Marios Konstantinos, Nicola Roche, Jennifer Rusby, et al.. (2018). Post neoadjuvant chemotherapy vacuum assisted biopsy in breast cancer: Can it determine pathologic complete response before surgery?. Journal of Clinical Oncology. 36(15_suppl). 567–567. 10 indexed citations
14.
Wilson, Robin, et al.. (2017). The use of ultrasound in the clinical re-staging of the axilla after neoadjuvant chemotherapy (NACT). The Breast. 35. 104–108. 24 indexed citations
15.
Downey, Kate, Ayoma D. Attygalle, Veronica A. Morgan, et al.. (2015). Comparison of optimised endovaginal vs external array coil T2-weighted and diffusion-weighted imaging techniques for detecting suspected early stage (IA/IB1) uterine cervical cancer. European Radiology. 26(4). 941–950. 23 indexed citations
16.
Kolluru, Gita R., et al.. (2015). Exploring behavioral and hormonal flexibility across light environments in guppies from low-predation populations. Behaviour. 152(7-8). 963–993. 7 indexed citations
17.
Downey, Kate, et al.. (2013). New MR Techniques in Gynecologic Cancer. American Journal of Roentgenology. 200(2). 249–260. 48 indexed citations
18.
Zhang, Qingling, Rowland Illing, Christopher Hui, et al.. (2012). Bacteria in sputum of stable severe asthma and increased airway wall thickness. Respiratory Research. 13(1). 35–35. 71 indexed citations
19.
Ritter, Leslie, et al.. (2008). Inflammatory and Hemodynamic Changes in the Cerebral Microcirculation of Aged Rats after Global Cerebral Ischemia and Reperfusion. Microcirculation. 15(4). 297–310. 14 indexed citations
20.

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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