Michael Berks

685 total citations
36 papers, 364 citations indexed

About

Michael Berks is a scholar working on Pathology and Forensic Medicine, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Michael Berks has authored 36 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Pathology and Forensic Medicine, 13 papers in Oncology and 10 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Michael Berks's work include Systemic Sclerosis and Related Diseases (18 papers), Lymphatic System and Diseases (7 papers) and AI in cancer detection (7 papers). Michael Berks is often cited by papers focused on Systemic Sclerosis and Related Diseases (18 papers), Lymphatic System and Diseases (7 papers) and AI in cancer detection (7 papers). Michael Berks collaborates with scholars based in United Kingdom, Italy and Sweden. Michael Berks's co-authors include Chris Taylor, Ariane L. Herrick, Andrea Murray, Graham Dinsdale, Tonia Moore, Joanne Manning, Vanessa Smith, Maurizio Cutolo, Sue Astley and Mark Dickinson and has published in prestigious journals such as Scientific Reports, Clinical Cancer Research and Magnetic Resonance in Medicine.

In The Last Decade

Michael Berks

33 papers receiving 357 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Berks United Kingdom 12 181 115 114 58 52 36 364
Anita G. Bourke Australia 13 236 1.3× 129 1.1× 118 1.0× 100 1.7× 56 1.1× 32 417
Shin Ho Kook South Korea 11 178 1.0× 39 0.3× 176 1.5× 109 1.9× 75 1.4× 22 431
Yoshihide Kanemaki Japan 12 145 0.8× 47 0.4× 233 2.0× 76 1.3× 41 0.8× 44 410
Ermelinda Bonaccio United States 9 285 1.6× 134 1.2× 234 2.1× 85 1.5× 96 1.8× 15 600
Susanne Wurdinger Germany 13 249 1.4× 44 0.4× 401 3.5× 60 1.0× 29 0.6× 18 565
Pat W. Whitworth United States 13 405 2.2× 144 1.3× 154 1.4× 255 4.4× 119 2.3× 24 723
David E. March United States 9 257 1.4× 96 0.8× 98 0.9× 88 1.5× 34 0.7× 12 365
Michela Giuliani Italy 12 149 0.8× 22 0.2× 204 1.8× 64 1.1× 45 0.9× 29 425
Ana P. Benveniste United States 13 211 1.2× 81 0.7× 206 1.8× 73 1.3× 83 1.6× 26 534
Pier Paolo Campanino Italy 12 167 0.9× 33 0.3× 218 1.9× 73 1.3× 51 1.0× 18 432

Countries citing papers authored by Michael Berks

Since Specialization
Citations

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

Fields of papers citing papers by Michael Berks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Berks

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Berks. A scholar is included among the top collaborators of Michael Berks 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 Michael Berks. Michael Berks 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.
Wilkinson, Sarah, Jack Wilkinson, Debra Lyon, et al.. (2025). Imaging the microvasculature using nailfold capillaroscopy in patients with coronavirus disease-2019; A cross-sectional study. Microvascular Research. 159. 104796–104796.
2.
Ohene, Yolanda, William J. Harris, Kieron South, et al.. (2025). MRI detects blood-brain barrier alterations in a rat model of Alzheimer’s disease and lung infection. PubMed. 3(1). 8–8. 3 indexed citations
3.
Dubec, Michael J., James Price, Michael Berks, et al.. (2024). Oxygen-Enhanced MRI Detects Incidence, Onset, and Heterogeneity of Radiation-Induced Hypoxia Modification in HPV-Associated Oropharyngeal Cancer. Clinical Cancer Research. 30(24). 5620–5629. 5 indexed citations
4.
Clemente, Alfredo, et al.. (2024). Comparison of Early Contrast Enhancement Models in Ultrafast Dynamic Contrast-Enhanced Magnetic Resonance Imaging of Prostate Cancer. Diagnostics. 14(9). 870–870. 1 indexed citations
5.
Houdt, Petra J. van, Michael Berks, Lucy Kershaw, et al.. (2023). Contrast‐agent‐based perfusion MRI code repository and testing framework: ISMRM Open Science Initiative for Perfusion Imaging (OSIPI). Magnetic Resonance in Medicine. 91(5). 1774–1786. 5 indexed citations
6.
Berks, Michael, Graham Dinsdale, Andrea Murray, et al.. (2023). A deep learning system for quantitative assessment of microvascular abnormalities in nailfold capillary images. Lara D. Veeken. 62(6). 2325–2329. 18 indexed citations
7.
Dubec, Michael J., David L. Buckley, Michael Berks, et al.. (2023). First-in-human technique translation of oxygen-enhanced MRI to an MR Linac system in patients with head and neck cancer. Radiotherapy and Oncology. 183. 109592–109592. 25 indexed citations
8.
Dubec, Michael J., David L. Buckley, Ross A. Little, et al.. (2023). Quantifying and mapping hypoxia modification in patients with uterine cervical cancer using oxygen-enhanced MRI. Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition. 1 indexed citations
9.
Wilkinson, Sarah, J. R. Cummings, Joanne Manning, et al.. (2022). Photoacoustic imaging is a novel tool to measure finger artery structure and oxygenation in patients with SSc. Scientific Reports. 12(1). 20446–20446. 6 indexed citations
10.
Marjanovic, Elizabeth, Vinod Sharma, Christopher L. Pinder, et al.. (2022). Polarisation-sensitive optical coherence tomography measurement of retardance in fibrosis, a non-invasive biomarker in patients with systemic sclerosis. Scientific Reports. 12(1). 2893–2893. 10 indexed citations
11.
Sawyer, Travis W., Lina Hacker, Calum Williams, et al.. (2022). Multispectral imaging of nailfold capillaries using light-emitting diode illumination. Journal of Biomedical Optics. 27(12). 126002–126002. 3 indexed citations
12.
Dinsdale, Graham, Sarah Wilkinson, Jack Wilkinson, et al.. (2020). State-of-the-art technologies provide new insights linking skin and blood vessel abnormalities in SSc-related disorders. Microvascular Research. 130. 104006–104006. 11 indexed citations
13.
Berks, Michael, Graham Dinsdale, Andrea Murray, et al.. (2018). Automated structure and flow measurement — a promising tool in nailfold capillaroscopy. Microvascular Research. 118. 173–177. 27 indexed citations
14.
15.
Dinsdale, Graham, Tonia Moore, Neil O’Leary, et al.. (2017). Quantitative outcome measures for systemic sclerosis-related Microangiopathy – Reliability of image acquisition in Nailfold Capillaroscopy. Microvascular Research. 113. 56–59. 19 indexed citations
16.
Dinsdale, Graham, Tonia Moore, Neil O’Leary, et al.. (2017). Intra-and inter-observer reliability of nailfold videocapillaroscopy — A possible outcome measure for systemic sclerosis-related microangiopathy. Microvascular Research. 112. 1–6. 26 indexed citations
17.
Tresadern, P., Michael Berks, Andrea Murray, et al.. (2013). Simulating nailfold capillaroscopy sequences to evaluate algorithms for blood flow estimation. PubMed. 2013. 2636–2639. 3 indexed citations
18.
Berks, Michael, Zezhi Chen, Sue Astley, & Chris Taylor. (2011). Detecting and Classifying Linear Structures in Mammograms Using Random Forests. Lecture notes in computer science. 22. 510–524. 14 indexed citations
19.
Berks, Michael, et al.. (2010). Evaluating the realism of synthetically generated mammographic lesions: an observer study. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7627. 762704–762704. 6 indexed citations
20.
Berks, Michael, Alan Hufton, Jo Morrison, et al.. (2010). A stepwedge-based method for measuring breast density: observer variability and comparison with human reading. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7622. 76220A–76220A. 3 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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