Daniel Brewer

22.3k total citations · 1 hit paper
82 papers, 2.5k citations indexed

About

Daniel Brewer is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Daniel Brewer has authored 82 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 26 papers in Pulmonary and Respiratory Medicine and 21 papers in Cancer Research. Recurrent topics in Daniel Brewer's work include Prostate Cancer Treatment and Research (22 papers), Molecular Biology Techniques and Applications (13 papers) and Prostate Cancer Diagnosis and Treatment (10 papers). Daniel Brewer is often cited by papers focused on Prostate Cancer Treatment and Research (22 papers), Molecular Biology Techniques and Applications (13 papers) and Prostate Cancer Diagnosis and Treatment (10 papers). Daniel Brewer collaborates with scholars based in United Kingdom, United States and Germany. Daniel Brewer's co-authors include Colin S. Cooper, Janet Shipley, Thomas Santarius, Michael R. Stratton, David H. Phillips, Volker M. Arlt, Ian Giddings, Sarah L. Hockley, Martino Barenco and Michael Hubank and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Daniel Brewer

75 papers receiving 2.4k citations

Hit Papers

Major data analysis errors invalidate cancer microbiome f... 2023 2026 2024 2025 2023 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Brewer United Kingdom 25 1.2k 733 697 411 159 82 2.5k
Yongzhao Shao United States 30 1.1k 0.9× 554 0.8× 459 0.7× 772 1.9× 115 0.7× 170 4.1k
Ursula Berger Germany 26 839 0.7× 546 0.7× 169 0.2× 474 1.2× 93 0.6× 90 2.4k
Yingmei Wang China 33 1.4k 1.2× 700 1.0× 353 0.5× 836 2.0× 94 0.6× 234 3.9k
Giorgia Randi Italy 18 685 0.6× 447 0.6× 885 1.3× 1.3k 3.1× 70 0.4× 46 3.5k
David G. Hoel United States 35 569 0.5× 1.3k 1.8× 639 0.9× 505 1.2× 152 1.0× 183 4.9k
Simon Bouffler United Kingdom 37 1.6k 1.3× 748 1.0× 895 1.3× 497 1.2× 178 1.1× 133 4.1k
E. Georg Luebeck United States 30 771 0.6× 1.1k 1.5× 664 1.0× 669 1.6× 39 0.2× 79 2.8k
Mark E. Reeves United States 28 747 0.6× 251 0.3× 242 0.3× 671 1.6× 66 0.4× 118 2.8k
Dirk F. Moore United States 34 730 0.6× 493 0.7× 851 1.2× 769 1.9× 25 0.2× 120 3.5k
Jimmy Lin United States 19 822 0.7× 457 0.6× 161 0.2× 870 2.1× 507 3.2× 36 3.6k

Countries citing papers authored by Daniel Brewer

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Brewer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Brewer

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Brewer. A scholar is included among the top collaborators of Daniel Brewer 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 Daniel Brewer. Daniel Brewer 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.
Gihawi, Abraham, Henry M. Wood, J. W. Clark, et al.. (2025). The landscape of microbial associations in human cancer. Science Translational Medicine. 17(814). eads6166–eads6166. 2 indexed citations
2.
Hurst, Rachel, Daniel Brewer, Abraham Gihawi, John Wain, & Colin S. Cooper. (2024). Cancer invasion and anaerobic bacteria: new insights into mechanisms. Journal of Medical Microbiology. 73(3). 10 indexed citations
3.
Smith, S. F., Daniel Brewer, Rachel Hurst, & Colin S. Cooper. (2024). Applications of Urinary Extracellular Vesicles in the Diagnosis and Active Surveillance of Prostate Cancer. Cancers. 16(9). 1717–1717. 4 indexed citations
4.
Gihawi, Abraham, Yuchen Ge, Jennifer Lu, et al.. (2023). Major data analysis errors invalidate cancer microbiome findings. mBio. 14(5). e0160723–e0160723. 99 indexed citations breakdown →
5.
Gihawi, Abraham, et al.. (2023). Quality Control in Metagenomics Data. Methods in molecular biology. 2649. 21–54. 4 indexed citations
6.
Connell, Shea P., Maria Frantzi, Agnieszka Latosińska, et al.. (2022). A Model to Detect Significant Prostate Cancer Integrating Urinary Peptide and Extracellular Vesicle RNA Data. Cancers. 14(8). 1995–1995. 10 indexed citations
7.
Woodcock, Dan J., Sinja Taavitsainen, Matti Kankainen, et al.. (2020). Prostate cancer evolution from multilineage primary to single lineage metastases with implications for liquid biopsy. Nature Communications. 11(1). 5070–5070. 42 indexed citations
8.
Luca, Bogdan, Vincent Moulton, Dylan R. Edwards, et al.. (2020). A novel stratification framework for predicting outcome in patients with prostate cancer. British Journal of Cancer. 122(10). 1467–1476. 7 indexed citations
9.
Zhao, Fang, Ekaterina Olkhov‐Mitsel, Julia Garcia, et al.. (2018). A urine-based DNA methylation assay, ProCUrE, to identify clinically significant prostate cancer. Clinical Epigenetics. 10(1). 147–147. 27 indexed citations
10.
Ball, Richard Y., Gunes Gundem, Krishna Sethia, et al.. (2015). Mutation detection in formalin-fixed prostate cancer biopsies taken at the time of diagnosis using next-generation DNA sequencing. Journal of Clinical Pathology. 68(3). 212–217. 18 indexed citations
11.
Johnson, Tracy, Daniel Brewer, Raymond O. Estacio, et al.. (2015). Augmenting Predictive Modeling Tools with Clinical Insights for Care Coordination Program Design and Implementation. SHILAP Revista de lepidopterología. 3(1). 14–14. 16 indexed citations
12.
Zuo, Jie, Daniel Brewer, Volker M. Arlt, Colin S. Cooper, & David H. Phillips. (2014). Benzo "Equation missing" pyrene-induced DNA adducts and gene expression profiles in target and non-target organs for carcinogenesis in mice. BMC Genomics. 15(1). 880–880. 43 indexed citations
13.
Wu, Ping, Brian A. Walker, Annemiek Broyl, et al.. (2014). A gene expression based predictor for high risk myeloma treated with intensive therapy and autologous stem cell rescue. Leukemia & lymphoma. 56(3). 594–601. 5 indexed citations
14.
Cuzick, Jack, Zi Yang, Gabrielle Fisher, et al.. (2013). Prognostic value of PTEN loss in men with conservatively managed localised prostate cancer. British Journal of Cancer. 108(12). 2582–2589. 82 indexed citations
15.
Reid, Alison, Gerhardt Attard, Daniel Brewer, et al.. (2012). Novel, gross chromosomal alterations involving PTEN cooperate with allelic loss in prostate cancer. Modern Pathology. 25(6). 902–910. 35 indexed citations
17.
Wu, Ping, Brian A. Walker, Daniel Brewer, et al.. (2011). A Gene Expression–Based Predictor for Myeloma Patients at High Risk of Developing Bone Disease on Bisphosphonate Treatment. Clinical Cancer Research. 17(19). 6347–6355. 18 indexed citations
18.
Brewer, Daniel, Carol Beesley, Andrew Dodson, et al.. (2011). siRNA Knockdown of Ribosomal Protein Gene RPL19 Abrogates the Aggressive Phenotype of Human Prostate Cancer. PLoS ONE. 6(7). e22672–e22672. 50 indexed citations
19.
Santarius, Thomas, Janet Shipley, Daniel Brewer, Michael R. Stratton, & Colin S. Cooper. (2009). A census of amplified and overexpressed human cancer genes. Nature reviews. Cancer. 10(1). 59–64. 423 indexed citations
20.
Brewer, Daniel, et al.. (2002). Using the encyclopédie : ways of knowing, ways of reading. 5 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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