Mark Halling‐Brown

5.5k total citations
41 papers, 461 citations indexed

About

Mark Halling‐Brown is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Mark Halling‐Brown has authored 41 papers receiving a total of 461 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Radiology, Nuclear Medicine and Imaging, 22 papers in Artificial Intelligence and 17 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Mark Halling‐Brown's work include AI in cancer detection (22 papers), Digital Radiography and Breast Imaging (15 papers) and Radiomics and Machine Learning in Medical Imaging (13 papers). Mark Halling‐Brown is often cited by papers focused on AI in cancer detection (22 papers), Digital Radiography and Breast Imaging (15 papers) and Radiomics and Machine Learning in Medical Imaging (13 papers). Mark Halling‐Brown collaborates with scholars based in United Kingdom, United States and Australia. Mark Halling‐Brown's co-authors include Mishal Patel, Bissan Al‐Lazikani, Kenneth C. Young, Joseph E Tym, Paul Workman, Alistair Mackenzie, David S. Moss, Krishna C. Bulusu, Lucy M. Warren and David R. Dance and has published in prestigious journals such as Nucleic Acids Research, Nature Reviews Drug Discovery and International Journal of Cancer.

In The Last Decade

Mark Halling‐Brown

39 papers receiving 448 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark Halling‐Brown United Kingdom 12 210 140 128 119 67 41 461
Haitham Elmarakeby United States 12 301 1.4× 159 1.1× 129 1.0× 195 1.6× 35 0.5× 17 753
Coryandar Gilvary United States 5 264 1.3× 210 1.5× 55 0.4× 183 1.5× 211 3.1× 5 757
Rahaba Marima South Africa 10 139 0.7× 88 0.6× 46 0.4× 72 0.6× 19 0.3× 23 401
Taylor E. Arnoff United States 6 172 0.8× 44 0.3× 49 0.4× 72 0.6× 28 0.4× 10 336
Dimitra D. Dionysiou Greece 15 173 0.8× 118 0.8× 67 0.5× 31 0.3× 45 0.7× 37 585
Ratna R. Thangudu United States 12 591 2.8× 54 0.4× 86 0.7× 42 0.4× 93 1.4× 15 803
Lujia Chen United States 12 359 1.7× 70 0.5× 53 0.4× 37 0.3× 67 1.0× 36 603
Flavia Zita Francies South Africa 9 167 0.8× 116 0.8× 31 0.2× 90 0.8× 20 0.3× 13 513
Ladislav Rampášek Canada 6 257 1.2× 50 0.4× 26 0.2× 71 0.6× 153 2.3× 8 532
Peiran Jiang China 9 369 1.8× 114 0.8× 25 0.2× 76 0.6× 124 1.9× 12 583

Countries citing papers authored by Mark Halling‐Brown

Since Specialization
Citations

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

Fields of papers citing papers by Mark Halling‐Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark Halling‐Brown. 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 Mark Halling‐Brown. The network helps show where Mark Halling‐Brown may publish in the future.

Co-authorship network of co-authors of Mark Halling‐Brown

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Halling‐Brown. A scholar is included among the top collaborators of Mark Halling‐Brown 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 Mark Halling‐Brown. Mark Halling‐Brown 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.
Pritchard, D. Mark, David M. Hughes, A.S. Dhadda, et al.. (2024). Contact X-ray Brachytherapy as a sole treatment in selected patients with early rectal cancer – Multi-centre study. Clinical and Translational Radiation Oncology. 49. 100851–100851. 1 indexed citations
2.
Ellis, Sam, Matthew Trumble, Mark Halling‐Brown, et al.. (2024). Deep Learning for Breast Cancer Risk Prediction: Application to a Large Representative UK Screening Cohort. Radiology Artificial Intelligence. 6(4). e230431–e230431. 4 indexed citations
3.
4.
Halling‐Brown, Mark, et al.. (2022). The relationship between age of digital mammography systems and number of reported faults and downtime. Physica Medica. 98. 113–121. 3 indexed citations
5.
Bertolli, Ottavia, Alberto Favaro, Mark Halling‐Brown, et al.. (2021). An overview of the National COVID-19 Chest Imaging Database: data quality and cohort analysis. GigaScience. 10(11). 4 indexed citations
6.
Warren, Lucy M., Mark Halling‐Brown, David R. Dance, et al.. (2017). Image processing can cause some malignant soft-tissue lesions to be missed in digital mammography images. Clinical Radiology. 72(9). 799.e1–799.e8. 4 indexed citations
7.
Mackenzie, Alistair, Lucy M. Warren, Matthew Wallis, et al.. (2016). The relationship between cancer detection in mammography and image quality measurements. Physica Medica. 32(4). 568–574. 35 indexed citations
8.
Patel, Mishal, Kenneth C. Young, & Mark Halling‐Brown. (2016). Collection of sequential imaging events for research in breast cancer screening. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9789. 97890K–97890K. 1 indexed citations
9.
Halling‐Brown, Mark, et al.. (2015). A Pilot Study on the Development of Remote Quality Control of Digital Mammography Systems in the NHS Breast Screening Programme. Journal of Digital Imaging. 28(5). 586–593. 3 indexed citations
10.
Young, Kenneth C., et al.. (2015). MEDXVIEWER: PROVIDING A WEB-ENABLED WORKSTATION ENVIRONMENT FOR COLLABORATIVE AND REMOTE MEDICAL IMAGING VIEWING, PERCEPTION STUDIES AND READER TRAINING. Radiation Protection Dosimetry. 169(1-4). 32–37. 10 indexed citations
11.
Mackenzie, Alistair, Lucy M. Warren, Matthew Wallis, et al.. (2015). Breast cancer detection rates using four different types of mammography detectors. European Radiology. 26(3). 874–883. 16 indexed citations
12.
Halling‐Brown, Mark, et al.. (2014). The oncology medical image database (OMI-DB). Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9039. 903906–903906. 14 indexed citations
13.
Patel, Mishal, Mark Halling‐Brown, Joseph E Tym, Paul Workman, & Bissan Al‐Lazikani. (2012). Objective assessment of cancer genes for drug discovery. Nature Reviews Drug Discovery. 12(1). 35–50. 90 indexed citations
14.
Halling‐Brown, Mark, et al.. (2011). canSAR: an integrated cancer public translational research and drug discovery resource. Nucleic Acids Research. 40(D1). D947–D956. 67 indexed citations
15.
Halling‐Brown, Mark, Dan Frampton, Clare Sansom, et al.. (2009). Proteins accessible to immune surveillance show significant T-cell epitope depletion: Implications for vaccine design. Molecular Immunology. 46(13). 2699–2705. 7 indexed citations
16.
Halling‐Brown, Mark & Adrian J. Shepherd. (2008). Constructing Computational Pipelines. Methods in molecular biology. 453. 451–470. 9 indexed citations
17.
Halling‐Brown, Mark, Clare Sansom, Matthew Davies, Richard W. Titball, & David S. Moss. (2008). Are bacterial vaccine antigens T-cell epitope depleted?. Trends in Immunology. 29(8). 374–379. 13 indexed citations
18.
Pappalardo, Francesco, Ping Zhang, Mark Halling‐Brown, et al.. (2008). Computational Simulations of the Immune System for Personalized Medicine: State of the Art and Challenges. Current pharmacogenomics and personalized medicine (Online). 6(4). 260–271. 14 indexed citations
19.
Halling‐Brown, Mark, et al.. (2007). Toward the atomistic simulation of T cell epitopes. Journal of Molecular Graphics and Modelling. 26(6). 957–961. 16 indexed citations
20.
Halling‐Brown, Mark, Ruby Quartey‐Papafio, Paul Travers, & D. S. Moss. (2006). SiPep: a system for the prediction of tissue‐specific minor histocompatibility antigens. International Journal of Immunogenetics. 33(4). 289–295. 11 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 Haitham Elmarakeby Breakdown of academic impact, for papers by Coryandar Gilvary Breakdown of academic impact, for papers by Rahaba Marima Breakdown of academic impact, for papers by Taylor E. Arnoff Breakdown of academic impact, for papers by Dimitra D. Dionysiou Breakdown of academic impact, for papers by Ratna R. Thangudu Breakdown of academic impact, for papers by Lujia Chen Breakdown of academic impact, for papers by Flavia Zita Francies Breakdown of academic impact, for papers by Ladislav Rampášek Breakdown of academic impact, for papers by Peiran Jiang
Rankless by CCL
2026