James Bradford

1.8k total citations
34 papers, 1.3k citations indexed

About

James Bradford is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, James Bradford has authored 34 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 13 papers in Cancer Research and 6 papers in Oncology. Recurrent topics in James Bradford's work include Cancer Genomics and Diagnostics (7 papers), Machine Learning in Bioinformatics (6 papers) and Bioinformatics and Genomic Networks (5 papers). James Bradford is often cited by papers focused on Cancer Genomics and Diagnostics (7 papers), Machine Learning in Bioinformatics (6 papers) and Bioinformatics and Genomic Networks (5 papers). James Bradford collaborates with scholars based in United Kingdom, United States and Malaysia. James Bradford's co-authors include David R. Westhead, Chris J. Needham, Andrew J. Bulpitt, Yaoyong Li, Y. Hey, Tim Yates, Stuart D Pepper, Crispin Miller, Ioannis Michalopoulos and John W. Pinney and has published in prestigious journals such as Nucleic Acids Research, Nature Biotechnology and Bioinformatics.

In The Last Decade

James Bradford

33 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James Bradford United Kingdom 18 977 167 164 105 104 34 1.3k
Mónica Chagoyen Spain 21 1.5k 1.5× 117 0.7× 186 1.1× 291 2.8× 151 1.5× 56 2.2k
Yvonne A. Evrard United States 19 1.5k 1.5× 122 0.7× 307 1.9× 119 1.1× 199 1.9× 39 2.1k
Zhenjun Hu United States 20 1.2k 1.2× 231 1.4× 106 0.6× 68 0.6× 157 1.5× 36 1.8k
Ashwini Patil Japan 20 1.2k 1.2× 157 0.9× 102 0.6× 59 0.6× 70 0.7× 52 1.5k
Harald Vöhringer Germany 4 724 0.7× 57 0.3× 188 1.1× 90 0.9× 96 0.9× 5 1.2k
Mehdi Sadeghi Iran 17 970 1.0× 137 0.8× 57 0.3× 59 0.6× 101 1.0× 104 1.3k
Michael M. Hoffman Canada 17 1.5k 1.5× 76 0.5× 228 1.4× 133 1.3× 311 3.0× 37 2.0k
Pedro G. Ferreira Portugal 17 755 0.8× 98 0.6× 178 1.1× 50 0.5× 260 2.5× 44 1.2k
Daniele Peluso Italy 13 1.6k 1.6× 414 2.5× 99 0.6× 40 0.4× 117 1.1× 21 1.8k

Countries citing papers authored by James Bradford

Since Specialization
Citations

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

Fields of papers citing papers by James Bradford

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James Bradford

This figure shows the co-authorship network connecting the top 25 collaborators of James Bradford. A scholar is included among the top collaborators of James Bradford 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 James Bradford. James Bradford 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.
Melchor, Lorenzo, Kirsty R. Greenow, Howard Kendrick, et al.. (2021). Reproductive history determines Erb b 2 locus amplification, WNT signalling and tumour phenotype in a murine breast cancer model. Disease Models & Mechanisms. 14(5). 3 indexed citations
2.
3.
Peacock, Ben, James Bradford, Ryan Pink, et al.. (2018). Extracellular vesicle microRNA cargo is correlated with HPV status in oropharyngeal carcinoma. Journal of Oral Pathology and Medicine. 47(10). 954–963. 28 indexed citations
4.
Lynch, James T., Urszula M. Polanska, Oona Delpuech, et al.. (2017). Inhibiting PI3Kβ with AZD8186 Regulates Key Metabolic Pathways in PTEN-Null Tumors. Clinical Cancer Research. 23(24). 7584–7595. 24 indexed citations
5.
Taurozzi, Alberto J., Michelle Wantoch, Marie‐Christine Labarthe, et al.. (2017). Spontaneous development of Epstein-Barr Virus associated human lymphomas in a prostate cancer xenograft program. PLoS ONE. 12(11). e0188228–e0188228. 17 indexed citations
6.
7.
Bradford, James, Angela Cox, Philip S. Bernard, & Nicola J. Camp. (2016). Consensus Analysis of Whole Transcriptome Profiles from Two Breast Cancer Patient Cohorts Reveals Long Non-Coding RNAs Associated with Intrinsic Subtype and the Tumour Microenvironment. PLoS ONE. 11(9). e0163238–e0163238. 19 indexed citations
8.
Taylor, Fiona, James Bradford, Penella J. Woll, M. Dawn Teare, & Angela Cox. (2016). Unbiased Detection of Somatic Copy Number Aberrations in cfDNA of Lung Cancer Cases and High-Risk Controls with Low Coverage Whole Genome Sequencing. Advances in experimental medicine and biology. 924. 29–32. 7 indexed citations
9.
Zhuang, Xiaodong, John Herbert, James Bradford, et al.. (2014). Identification of novel vascular targets in lung cancer. British Journal of Cancer. 112(3). 485–494. 23 indexed citations
10.
Doody, Gina M., Matthew A. Care, Nicholas J. Burgoyne, et al.. (2010). An extended set of PRDM1/BLIMP1 target genes links binding motif type to dynamic repression. Nucleic Acids Research. 38(16). 5336–5350. 51 indexed citations
11.
Tedder, Philip, James Bradford, Glenn A. McConkey, Andrew J. Bulpitt, & David R. Westhead. (2010). PlasmoPredict: a gene function prediction website for Plasmodium falciparum. Trends in Parasitology. 26(3). 107–110. 3 indexed citations
12.
Care, Matthew A., James Bradford, Chris J. Needham, Andrew J. Bulpitt, & David R. Westhead. (2009). Combining the interactome and deleterious SNP predictions to improve disease gene identification. Human Mutation. 30(3). 485–492. 17 indexed citations
13.
Bradford, James, Chris J. Needham, Philip Tedder, et al.. (2009). GO-At :in silicoprediction of gene function inArabidopsis thalianaby combining heterogeneous data. The Plant Journal. 61(4). 713–721. 14 indexed citations
14.
Needham, Chris J., James Bradford, Andrew J. Bulpitt, & David R. Westhead. (2007). A Primer on Learning in Bayesian Networks for Computational Biology. PLoS Computational Biology. 3(8). e129–e129. 214 indexed citations
15.
Needham, Chris J., James Bradford, Andrew J. Bulpitt, Matthew A. Care, & David R. Westhead. (2006). Predicting the effect of missense mutations on protein function: analysis with Bayesian networks. BMC Bioinformatics. 7(1). 405–405. 19 indexed citations
16.
Manfield, Iain W., Chih‐Hung Jen, John W. Pinney, et al.. (2006). Arabidopsis Co-expression Tool (ACT): web server tools for microarray-based gene expression analysis. Nucleic Acids Research. 34(Web Server). W504–W509. 136 indexed citations
17.
Bradford, James, Chris J. Needham, Andrew J. Bulpitt, & David R. Westhead. (2006). Insights into Protein–Protein Interfaces using a Bayesian Network Prediction Method. Journal of Molecular Biology. 362(2). 365–386. 80 indexed citations
18.
Needham, Chris J., James Bradford, Andrew J. Bulpitt, & David R. Westhead. (2006). Inference in Bayesian networks. Nature Biotechnology. 24(1). 51–53. 68 indexed citations
19.
Bradford, James & David R. Westhead. (2004). Improved prediction of protein-protein binding sites using a support vector machines approach. Computer applications in the biosciences. 21(8). 1487–1494. 274 indexed citations
20.
Bradford, James. (1990). Investigating and correcting suboptimum lactation performance in sows.. Compendium on Continuing Education for The Practicing Veterinarian. 12(2). 269–273. 1 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Mónica Chagoyen Breakdown of academic impact, for papers by Yvonne A. Evrard Breakdown of academic impact, for papers by Zhenjun Hu Breakdown of academic impact, for papers by Ashwini Patil Breakdown of academic impact, for papers by Harald Vöhringer Breakdown of academic impact, for papers by Mehdi Sadeghi Breakdown of academic impact, for papers by Michael M. Hoffman Breakdown of academic impact, for papers by Pedro G. Ferreira Breakdown of academic impact, for papers by Daniele Peluso
Rankless by CCL
2026