Matthew Beaney
Impact in
- Cancer Research top 2%
- Cancer Genomics and Diagnostics
- Breast Cancer Treatment Studies
- Oncology top 5%
- HER2/EGFR in Cancer Research
- Cancer-related Molecular Pathways
- Cancer Cells and Metastasis
Papers in
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- Cancer Genomics and Diagnostics 11
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- Advanced Breast Cancer Therapies 8
- Co-authors
- Nicholas C. Turner (16 shared papers)Isaac García-Murillas (15 shared papers)Charlotte Fribbens (8 shared papers)Sarah Hrebien (11 shared papers)Ben O’Leary (8 shared papers)Judith M. Bliss (7 shared papers)Cynthia Huang Bartlett (6 shared papers)Massimo Cristofanilli (6 shared papers)
- Journals
- Journal of Clinical Oncology (4 papers)Cancer Research (4 papers)Clinical Cancer Research (2 papers)Annals of Oncology (2 papers)Nature Communications (1 paper)
- Partner nations
- United KingdomUnited StatesFrance
In The Last Decade
Matthew Beaney
17 papers receiving 1.4k citations
Matthew Beaney's Hit Papers
Peers
Comparison fields: 5 of 45
- Cancer Research 777
- Oncology 669
- Pulmonary and Respiratory Medicine 768
- Genetics 93
- Genetics 223
Countries citing papers authored by Matthew Beaney
This map shows the geographic impact of Matthew Beaney'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 Matthew Beaney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Beaney more than expected).
Fields of papers citing papers by Matthew Beaney
This network shows the impact of papers produced by Matthew Beaney. 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 Matthew Beaney. The network helps show where Matthew Beaney may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew Beaney, 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 | Plasma ESR1 Mutations and the Treatment of Estrogen Receptor–Positive Advanced Breast Cancer Hit paper breakdown → | 2016 | 515 |
| 2 | 2018 | 301 | |
| 3 | 2017 | 206 | |
| 4 | 2017 | 121 | |
| 5 | 2020 | 108 | |
| 6 | 2019 | 73 | |
| 7 | 2016 | 28 | |
| 8 | 2020 | 27 | |
| 9 | 2024 | 18 | |
| 10 | 2018 | 13 | |
| 11 | 2020 | 3 | |
| 12 | 2017 | 3 | |
| 13 | 2022 | 2 | |
| 14 | 2017 | 2 | |
| 15 | 2017 | 1 | |
| 16 | 2016 | 1 | |
| 17 | 2017 | 1 |
About Matthew Beaney
Matthew Beaney is a scholar working on Cancer Research, Pulmonary and Respiratory Medicine, Oncology, Molecular Biology and Genetics, having authored 17 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (11 papers), Advanced Breast Cancer Therapies (8 papers), BRCA gene mutations in cancer (3 papers), Lung Cancer Research Studies (2 papers), Estrogen and related hormone effects (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Genetic factors in colorectal cancer (2 papers) and DNA Repair Mechanisms (1 paper). The work is most often cited by research in Cancer Research (777 citations), Oncology (669 citations), Pulmonary and Respiratory Medicine (768 citations), Genetics (93 citations) and Genetics (223 citations). Matthew Beaney has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Nicholas C. Turner, Isaac García-Murillas, Charlotte Fribbens, Sarah Hrebien, Ben O’Leary, Judith M. Bliss, Cynthia Huang Bartlett, Massimo Cristofanilli, María Koehler and Lucy Kilburn. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research, Clinical Cancer Research, Annals of Oncology and Nature Communications.
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.