Charlene Kay
Impact in
- Cancer Research top 10%
- Breast Cancer Treatment Studies
- Cancer Genomics and Diagnostics
- Oncology top 10%
- HER2/EGFR in Cancer Research
- Cancer Cells and Metastasis
Papers in
- Oncology 15
- HER2/EGFR in Cancer Research 9
- Cancer Cells and Metastasis 4
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- Breast Cancer Treatment Studies 5
- Co-authors
- Arran Turnbull (14 shared papers)Simon P. Langdon (9 shared papers)Dana Faratian (7 shared papers)James R. Meehan (11 shared papers)Carlos Martínez-Pérez (12 shared papers)David James Harrison (8 shared papers)Mark Gray (10 shared papers)Peter Mullen (4 shared papers)
- Journals
- Journal of Personalized Medicine (5 papers)Journal of Clinical Oncology (2 papers)Cancer Research (2 papers)Frontiers in Oncology (2 papers)Clinical Cancer Research (2 papers)
- Partner nations
- United KingdomUnited StatesNetherlands
In The Last Decade
Charlene Kay
27 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 97
- Cancer Research 316
- Oncology 328
- Pulmonary and Respiratory Medicine 178
- Molecular Biology 403
- Radiology, Nuclear Medicine and Imaging 112
Countries citing papers authored by Charlene Kay
This map shows the geographic impact of Charlene Kay'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 Charlene Kay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Charlene Kay more than expected).
Fields of papers citing papers by Charlene Kay
This network shows the impact of papers produced by Charlene Kay. 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 Charlene Kay. The network helps show where Charlene Kay may publish in the future.
Co-authors
The 25 scholars most cited alongside Charlene Kay, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 157 | |
| 2 | 2009 | 135 | |
| 3 | 2020 | 94 | |
| 4 | 2015 | 81 | |
| 5 | 2015 | 77 | |
| 6 | 2011 | 52 | |
| 7 | 2020 | 51 | |
| 8 | 2010 | 49 | |
| 9 | 2009 | 48 | |
| 10 | 2011 | 43 | |
| 11 | 2012 | 40 | |
| 12 | 2021 | 40 | |
| 13 | 2014 | 27 | |
| 14 | 2019 | 23 | |
| 15 | 2013 | 21 | |
| 16 | 2021 | 19 | |
| 17 | 2021 | 19 | |
| 18 | 2022 | 15 | |
| 19 | 2021 | 13 | |
| 20 | 2021 | 13 |
About Charlene Kay
Charlene Kay is a scholar working on Oncology, Cancer Research, Pulmonary and Respiratory Medicine, Reproductive Medicine and Molecular Biology, having authored 27 papers that have together received 1.1k indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (9 papers), Breast Cancer Treatment Studies (5 papers), Cancer Cells and Metastasis (4 papers), Veterinary Oncology Research (3 papers), Ovarian cancer diagnosis and treatment (2 papers), Breast Lesions and Carcinomas (2 papers), Fibroblast Growth Factor Research (2 papers) and PI3K/AKT/mTOR signaling in cancer (2 papers). The work is most often cited by research in Cancer Research (316 citations), Oncology (328 citations), Pulmonary and Respiratory Medicine (178 citations), Molecular Biology (403 citations) and Radiology, Nuclear Medicine and Imaging (112 citations). Charlene Kay has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Arran Turnbull, Simon P. Langdon, Dana Faratian, James R. Meehan, Carlos Martínez-Pérez, David James Harrison, Mark Gray, Peter Mullen, Andrew H. Sims and In Hwa Um. Their work appears in journals such as Journal of Personalized Medicine, Journal of Clinical Oncology, Cancer Research, Frontiers in Oncology and Clinical Cancer Research.
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.