Dane Cheasley
Impact in
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- Cancer Genomics and Diagnostics
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- Cancer Cells and Metastasis
- Cancer-related Molecular Pathways
Papers in
- Oncology 11
- Cancer-related Molecular Pathways 4
- PARP inhibition in cancer therapy 3
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- PI3K/AKT/mTOR signaling in cancer 3
- Co-authors
- Jordane Malaterre (6 shared papers)Robert G. Ramsay (6 shared papers)Lloyd Pereira (5 shared papers)Elizabeth Vincan (1 shared paper)Ian Campbell (9 shared papers)Shienny Sampurno (4 shared papers)Yvette Drabsch (1 shared paper)Kylie L. Gorringe (6 shared papers)
- Journals
- npj Breast Cancer (4 papers)Stem Cells (1 paper)JNCI Journal of the National Cancer Institute (1 paper)Cell Death and Disease (1 paper)npj Genomic Medicine (1 paper)
- Partner nations
- AustraliaCanadaUnited Kingdom
In The Last Decade
Dane Cheasley
17 papers receiving 274 citations
Peers
Comparison fields: 5 of 48
- Cancer Research 85
- Oncology 124
- Pathology and Forensic Medicine 49
- Molecular Biology 166
- Reproductive Medicine 19
Countries citing papers authored by Dane Cheasley
This map shows the geographic impact of Dane Cheasley'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 Dane Cheasley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dane Cheasley more than expected).
Fields of papers citing papers by Dane Cheasley
This network shows the impact of papers produced by Dane Cheasley. 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 Dane Cheasley. The network helps show where Dane Cheasley may publish in the future.
Co-authors
The 25 scholars most cited alongside Dane Cheasley, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 55 | |
| 2 | 2011 | 49 | |
| 3 | 2013 | 25 | |
| 4 | 2019 | 23 | |
| 5 | 2018 | 23 | |
| 6 | 2015 | 19 | |
| 7 | 2015 | 14 | |
| 8 | 2014 | 14 | |
| 9 | 2020 | 13 | |
| 10 | 2021 | 13 | |
| 11 | 2022 | 13 | |
| 12 | 2020 | 6 | |
| 13 | 2021 | 3 | |
| 14 | 2018 | 2 | |
| 15 | 2024 | 2 | |
| 16 | 2024 | 1 | |
| 17 | 2018 | 1 | |
| 18 | 2025 | 0 | |
| 19 | 2026 | 0 |
About Dane Cheasley
Dane Cheasley is a scholar working on Oncology, Molecular Biology, Cancer Research, Pathology and Forensic Medicine and Genetics, having authored 19 papers that have together received 276 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (5 papers), Genetic factors in colorectal cancer (5 papers), Ovarian cancer diagnosis and treatment (5 papers), Cancer-related Molecular Pathways (4 papers), BRCA gene mutations in cancer (4 papers), PARP inhibition in cancer therapy (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers) and Breast Cancer Treatment Studies (2 papers). The work is most often cited by research in Cancer Research (85 citations), Oncology (124 citations), Pathology and Forensic Medicine (49 citations), Molecular Biology (166 citations) and Reproductive Medicine (19 citations). Dane Cheasley has collaborated with scholars based in Australia, Canada and United Kingdom. Frequent co-authors include Jordane Malaterre, Robert G. Ramsay, Lloyd Pereira, Elizabeth Vincan, Ian Campbell, Shienny Sampurno, Yvette Drabsch, Kylie L. Gorringe, Thomas J. Gonda and Robin L. Anderson. Their work appears in journals such as npj Breast Cancer, Stem Cells, JNCI Journal of the National Cancer Institute, Cell Death and Disease and npj Genomic Medicine.
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.