Matthew Beaney

2.6k total citations · 1 hit paper
17 papers, 1.4k citations indexed

About

Matthew Beaney is a scholar working on Cancer Research, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Matthew Beaney has authored 17 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cancer Research, 9 papers in Pulmonary and Respiratory Medicine and 8 papers in Oncology. Recurrent topics in Matthew Beaney's work include Cancer Genomics and Diagnostics (12 papers), Advanced Breast Cancer Therapies (8 papers) and Genetic factors in colorectal cancer (4 papers). Matthew Beaney is often cited by papers focused on Cancer Genomics and Diagnostics (12 papers), Advanced Breast Cancer Therapies (8 papers) and Genetic factors in colorectal cancer (4 papers). Matthew Beaney collaborates with scholars based in United Kingdom, United States and France. Matthew Beaney's co-authors include Nicholas C. Turner, Isaac García-Murillas, Charlotte Fribbens, Sarah Hrebien, Ben O’Leary, Judith M. Bliss, Massimo Cristofanilli, Cynthia Huang Bartlett, María Koehler and Lucy Kilburn and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

Matthew Beaney

17 papers receiving 1.4k citations

Hit Papers

Plasma ESR1 Mutations and the Treatment of Estrogen Recep... 2016 2026 2019 2022 2016 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew Beaney United Kingdom 10 886 854 851 418 241 17 1.4k
John Jiang United States 12 614 0.7× 505 0.6× 725 0.9× 458 1.1× 176 0.7× 17 1.2k
Alex Pearson United Kingdom 9 537 0.6× 823 1.0× 918 1.1× 470 1.1× 142 0.6× 16 1.5k
Ricardo Ribas United Kingdom 16 538 0.6× 386 0.5× 416 0.5× 528 1.3× 263 1.1× 32 1.1k
Karen Howarth United Kingdom 15 614 0.7× 476 0.6× 398 0.5× 455 1.1× 87 0.4× 55 1000
Lior Soussan‐Gutman Israel 16 509 0.6× 500 0.6× 526 0.6× 300 0.7× 242 1.0× 41 1.0k
Shannon L. Puhalla United States 15 477 0.5× 285 0.3× 635 0.7× 319 0.8× 231 1.0× 44 995
Véronique Scott France 18 338 0.4× 366 0.4× 509 0.6× 492 1.2× 68 0.3× 39 1.0k
Fabio Barassi Italy 12 374 0.4× 898 1.1× 850 1.0× 710 1.7× 54 0.2× 12 1.5k
Maela Del Grammastro Italy 9 523 0.6× 839 1.0× 646 0.8× 569 1.4× 38 0.2× 10 1.3k
Per-Olof Malmström Sweden 6 323 0.4× 254 0.3× 501 0.6× 621 1.5× 145 0.6× 6 1.0k

Countries citing papers authored by Matthew Beaney

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Matthew Beaney

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Beaney. A scholar is included among the top collaborators of Matthew Beaney 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 Matthew Beaney. Matthew Beaney is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Cutts, Rosalind, Matthew Beaney, M Robert, et al.. (2024). Association of post-operative ctDNA detection with outcomes of patients with early breast cancers. ESMO Open. 9(9). 103687–103687. 12 indexed citations
2.
García-Murillas, Isaac, Rosalind Cutts, Matthew Beaney, et al.. (2022). Abstract P2-01-10: Detection of ctDNA following surgery predicts relapse in breast cancer patients receiving primary surgery. Cancer Research. 82(4_Supplement). P2–1. 2 indexed citations
3.
Turner, Nicholas C., Claire Swift, Lucy Kilburn, et al.. (2020). ESR1 Mutations and Overall Survival on Fulvestrant versus Exemestane in Advanced Hormone Receptor–Positive Breast Cancer: A Combined Analysis of the Phase III SoFEA and EFECT Trials. Clinical Cancer Research. 26(19). 5172–5177. 100 indexed citations
4.
Álvarez-García, Virginia, Isaac García-Murillas, Matthew Beaney, et al.. (2020). PIK3CA mutation enrichment and quantitation from blood and tissue. Scientific Reports. 10(1). 17082–17082. 26 indexed citations
5.
Kingston, Belinda, Hannah Bye, Michael Hubank, et al.. (2020). Abstract GS3-07: The genomic landscape of breast cancer based on ctDNA analysis: Data from the plasmaMATCH trial. Cancer Research. 80(4_Supplement). GS3–7. 3 indexed citations
6.
O’Leary, Ben, Sarah Hrebien, Matthew Beaney, et al.. (2019). Comparison of BEAMing and Droplet Digital PCR for Circulating Tumor DNA Analysis. Clinical Chemistry. 65(11). 1405–1413. 71 indexed citations
7.
O’Leary, Ben, Sarah Hrebien, James P. Morden, et al.. (2018). Early circulating tumor DNA dynamics and clonal selection with palbociclib and fulvestrant for breast cancer. Nature Communications. 9(1). 896–896. 293 indexed citations
8.
Turner, Nicholas C., Ben O’Leary, Ros Cutts, et al.. (2018). Genetic landscape of resistance to CDK4/6 inhibition in circulating tumor DNA (ctDNA) analysis of the PALOMA3 trial of palbociclib and fulvestrant versus placebo and fulvestrant.. Journal of Clinical Oncology. 36(15_suppl). 1001–1001. 13 indexed citations
9.
Asghar, Uzma, Rosalind Cutts, Matthew Beaney, et al.. (2017). Unravelling mechanisms of resistance to CDK4/6 inhibitors using triple negative breast cancer (TNBC). Annals of Oncology. 28. i17–i17. 3 indexed citations
10.
Fribbens, Charlotte, Isaac García-Murillas, Matthew Beaney, et al.. (2017). Tracking evolution of aromatase inhibitor resistance with circulating tumour DNA analysis in metastatic breast cancer. Annals of Oncology. 29(1). 145–153. 118 indexed citations
11.
O’Leary, Ben, Sarah Hrebien, James P. Morden, et al.. (2017). Predicting sensitivity to palbociclib with early circulating tumor DNA dynamics in the PALOMA-3 trial.. Journal of Clinical Oncology. 35(15_suppl). 1018–1018. 2 indexed citations
12.
Turner, Nicholas C., Isaac García-Murillas, Neha Chopra, et al.. (2017). Abstract P1-02-01: Circulating tumor DNA analysis to predict relapse and overall survival in early breast cancer – Longer follow-up of a proof-of-principle study. Cancer Research. 77(4_Supplement). P1–2. 1 indexed citations
13.
Asghar, Uzma, Alexis R. Barr, Ros Cutts, et al.. (2017). Single-Cell Dynamics Determines Response to CDK4/6 Inhibition in Triple-Negative Breast Cancer. Clinical Cancer Research. 23(18). 5561–5572. 203 indexed citations
14.
Fribbens, Charlotte, Isaac García-Murillas, Matthew Beaney, et al.. (2017). Tracking evolution of aromatase inhibitor resistance with circulating tumour DNA (ctDNA) in metastatic breast cancer.. Journal of Clinical Oncology. 35(15_suppl). 1015–1015. 1 indexed citations
15.
Hrebien, Sarah, Ben O’Leary, Matthew Beaney, et al.. (2016). Reproducibility of Digital PCR Assays for Circulating Tumor DNA Analysis in Advanced Breast Cancer. PLoS ONE. 11(10). e0165023–e0165023. 27 indexed citations
16.
Fribbens, Charlotte, Ben O’Leary, Lucy Kilburn, et al.. (2016). Plasma ESR1 Mutations and the Treatment of Estrogen Receptor–Positive Advanced Breast Cancer. Journal of Clinical Oncology. 34(25). 2961–2968. 507 indexed citations breakdown →

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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