Davina Gale

9.5k total citations · 3 hit papers
30 papers, 4.9k citations indexed

About

Davina Gale is a scholar working on Cancer Research, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Davina Gale has authored 30 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Cancer Research, 17 papers in Pulmonary and Respiratory Medicine and 10 papers in Molecular Biology. Recurrent topics in Davina Gale's work include Cancer Genomics and Diagnostics (27 papers), Lung Cancer Treatments and Mutations (12 papers) and Lung Cancer Diagnosis and Treatment (8 papers). Davina Gale is often cited by papers focused on Cancer Genomics and Diagnostics (27 papers), Lung Cancer Treatments and Mutations (12 papers) and Lung Cancer Diagnosis and Treatment (8 papers). Davina Gale collaborates with scholars based in United Kingdom, United States and Germany. Davina Gale's co-authors include Nitzan Rosenfeld, Muhammed Murtaza, Dana W.Y. Tsui, Carlos Caldas, Tim Forshew, Sarah‐Jane Dawson, James D. Brenton, Christine Parkinson, Suet‐Feung Chin and Sean Humphray and has published in prestigious journals such as Nature, New England Journal of Medicine and The Lancet.

In The Last Decade

Davina Gale

30 papers receiving 4.8k citations

Hit Papers

Analysis of Circulating Tumor DNA to Monitor Metastatic B... 2012 2026 2016 2021 2013 2013 2012 500 1000 1.5k

Peers

Davina Gale
Tim Forshew United Kingdom
Dana W.Y. Tsui United States
Christine Parkinson United Kingdom
Charlotte K.Y. Ng Switzerland
Richard D. Baird United Kingdom
Sachet A. Shukla United States
Maria Schwaederlé United States
Kerry Fenwick United Kingdom
Tim Forshew United Kingdom
Davina Gale
Citations per year, relative to Davina Gale Davina Gale (= 1×) peers Tim Forshew

Countries citing papers authored by Davina Gale

Since Specialization
Citations

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

Fields of papers citing papers by Davina Gale

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Davina Gale

This figure shows the co-authorship network connecting the top 25 collaborators of Davina Gale. A scholar is included among the top collaborators of Davina Gale 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 Davina Gale. Davina Gale 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.
Smith, Christopher G., Koen J. Hartemink, Robert C. Rintoul, et al.. (2025). Recurrence prediction using circulating tumor DNA in patients with early-stage non-small cell lung cancer after treatment with curative intent: A retrospective validation study. PLoS Medicine. 22(4). e1004574–e1004574. 2 indexed citations
2.
Reck, Martin, Davina Gale, Zhou Zhu, et al.. (2025). Association of post-surgical MRD status with neoadjuvant ctDNA dynamics, genomic mutations, and clinical outcomes in patients with resectable NSCLC (R-NSCLC) from the phase 3 AEGEAN trial.. Journal of Clinical Oncology. 43(16_suppl). 8009–8009. 3 indexed citations
4.
Abbosh, Chris, Darren Hodgson, Gary J. Doherty, et al.. (2024). Implementing circulating tumor DNA as a prognostic biomarker in resectable non-small cell lung cancer. Trends in cancer. 10(7). 643–654. 18 indexed citations
6.
Hudecova, Irena, Christopher G. Smith, Robert Hänsel‐Hertsch, et al.. (2021). Characteristics, origin, and potential for cancer diagnostics of ultrashort plasma cell-free DNA. Genome Research. 32(2). 215–227. 58 indexed citations
7.
Thompson, M, Davina Gale, & James D. Brenton. (2021). Circulating tumour DNA for clinicians: current and future clinical applications. Clinical Radiology. 76(10). 737–747. 2 indexed citations
8.
Gale, Davina, Katrin Heider, Giovanni Marsico, et al.. (2021). Residual ctDNA after treatment predicts early relapse in patients with early-stage NSCLC.. Journal of Clinical Oncology. 39(15_suppl). 8517–8517. 5 indexed citations
9.
Heider, Katrin, Jonathan C. M. Wan, James Hall, et al.. (2020). Detection of ctDNA from Dried Blood Spots after DNA Size Selection. Clinical Chemistry. 66(5). 697–705. 36 indexed citations
10.
Mair, Richard, Florent Moulière, Christopher G. Smith, et al.. (2018). Measurement of Plasma Cell-Free Mitochondrial Tumor DNA Improves Detection of Glioblastoma in Patient-Derived Orthotopic Xenograft Models. Cancer Research. 79(1). 220–230. 68 indexed citations
11.
Tsui, Dana W.Y., Heather Biggs, Sarah‐Jane Dawson, et al.. (2018). Effects of Collection and Processing Procedures on Plasma Circulating Cell-Free DNA from Cancer Patients. Journal of Molecular Diagnostics. 20(6). 883–892. 84 indexed citations
12.
Remón, Jordi, Caroline Caramella, Cécile Jovelet, et al.. (2017). Osimertinib benefit inEGFR-mutant NSCLC patients withT790M-mutation detected by circulating tumour DNA. Annals of Oncology. 28(4). 784–790. 133 indexed citations
13.
Remón, Jordi, Caroline Caramella, Ludovic Lacroix, et al.. (2017). P3.02b-102 Osimertinib Benefit in ctDNA T790M Positive, EGFR-Mutant NSCLC Patients. Journal of Thoracic Oncology. 12(1). S1254–S1255. 2 indexed citations
14.
Wan, Jonathan C. M., Suzanne Murphy, Davina Gale, et al.. (2017). Individualised monitoring of patients with metastatic melanoma using plasma DNA. The Lancet. 389. S99–S99. 1 indexed citations
15.
Parkinson, Christine, Davina Gale, Anna Piskorz, et al.. (2016). Exploratory Analysis of TP53 Mutations in Circulating Tumour DNA as Biomarkers of Treatment Response for Patients with Relapsed High-Grade Serous Ovarian Carcinoma: A Retrospective Study. PLoS Medicine. 13(12). e1002198–e1002198. 204 indexed citations
16.
Parkinson, Christine, Davina Gale, Anna Piskorz, et al.. (2016). Circulating tumour DNA carrying patient-specific mutations in TP53 as an early response biomarker in relapsed high grade serous ovarian cancer.. Journal of Clinical Oncology. 34(15_suppl). e23040–e23040. 1 indexed citations
17.
Schwarz, Roland F., Charlotte K.Y. Ng, Susanna L. Cooke, et al.. (2015). Spatial and Temporal Heterogeneity in High-Grade Serous Ovarian Cancer: A Phylogenetic Analysis. PLoS Medicine. 12(2). e1001789–e1001789. 263 indexed citations
18.
Dawson, Sarah‐Jane, Dana W.Y. Tsui, Muhammed Murtaza, et al.. (2013). Analysis of Circulating Tumor DNA to Monitor Metastatic Breast Cancer. New England Journal of Medicine. 368(13). 1199–1209. 1634 indexed citations breakdown →
19.
Murtaza, Muhammed, Sarah‐Jane Dawson, Dana W.Y. Tsui, et al.. (2013). Non-invasive analysis of acquired resistance to cancer therapy by sequencing of plasma DNA. Nature. 497(7447). 108–112. 1219 indexed citations breakdown →
20.
Bates, Stewart, Simon Read, David C. Harrison, et al.. (2001). Characterisation of gene expression changes following permanent MCAO in the rat using subtractive hybridisation. Molecular Brain Research. 93(1). 70–80. 37 indexed citations

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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