Matthew R. Griffiths

2.1k total citations
23 papers, 1.7k citations indexed

About

Matthew R. Griffiths is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Oncology. According to data from OpenAlex, Matthew R. Griffiths has authored 23 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Molecular Biology and 6 papers in Oncology. Recurrent topics in Matthew R. Griffiths's work include Radiomics and Machine Learning in Medical Imaging (4 papers), MRI in cancer diagnosis (3 papers) and Radiopharmaceutical Chemistry and Applications (3 papers). Matthew R. Griffiths is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (4 papers), MRI in cancer diagnosis (3 papers) and Radiopharmaceutical Chemistry and Applications (3 papers). Matthew R. Griffiths collaborates with scholars based in Australia, United Kingdom and United States. Matthew R. Griffiths's co-authors include Kenneth A. Miles, Somhairle MacCormick, Jean‐Damien Charrier, John R. Pollard, Philip M. Reaper, Julian M.C. Golec, Peter Charlton, Joanna Long, Balaji Ganeshan and Rupert Young and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Matthew R. Griffiths

23 papers receiving 1.7k citations

Peers

Matthew R. Griffiths
Ashique Rafique United States
C. Norman Coleman United States
Eileen Bauer United States
Bruce M. Fenton United States
Hong Ge China
W. Gillies McKenna United States
Mohamed E. Abazeed United States
Ashique Rafique United States
Matthew R. Griffiths
Citations per year, relative to Matthew R. Griffiths Matthew R. Griffiths (= 1×) peers Ashique Rafique

Countries citing papers authored by Matthew R. Griffiths

Since Specialization
Citations

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

Fields of papers citing papers by Matthew R. Griffiths

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew R. Griffiths. 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 Matthew R. Griffiths. The network helps show where Matthew R. Griffiths may publish in the future.

Co-authorship network of co-authors of Matthew R. Griffiths

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew R. Griffiths. A scholar is included among the top collaborators of Matthew R. Griffiths 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 Matthew R. Griffiths. Matthew R. Griffiths 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.
Hansen, Aaron R., David A. Pattison, Amanda J. Walker, et al.. (2025). Phase Ib/IIa dose escalation and expansion study of [ 212 Pb]Pb-ADVC001 in metastatic castration-resistant prostate cancer: TheraPb–phase I/II study.. Journal of Clinical Oncology. 43(5_suppl). 1 indexed citations
2.
Griffiths, Matthew R., David A. Pattison, Melissa J. Latter, et al.. (2024). First-in-Human212Pb-PSMA–Targeted α-Therapy SPECT/CT Imaging in a Patient with Metastatic Castration-Resistant Prostate Cancer. Journal of Nuclear Medicine. 65(4). 664–664. 22 indexed citations
3.
Reaper, Philip M., Matthew R. Griffiths, Joanna Long, et al.. (2011). Selective killing of ATM- or p53-deficient cancer cells through inhibition of ATR. Nature Chemical Biology. 7(7). 428–430. 476 indexed citations
4.
Griffiths, Matthew R. & Hardy Sundaram. (2011). Drug Design and Testing: Profiling of Antiproliferative Agents for Cancer Therapy Using a Cell-Based Methyl-[3H]-Thymidine Incorporation Assay. Methods in molecular biology. 731. 451–465. 23 indexed citations
5.
Miles, Kenneth A., et al.. (2011). Demonstrating Intertumoural Differences in Vascular-MetabolicPhenotype with Dynamic Contrast-Enhanced CT-PET. SHILAP Revista de lepidopterología. 2011. 1–8. 6 indexed citations
6.
Miles, Kenneth A., Balaji Ganeshan, Matthew R. Griffiths, Rupert Young, & Christopher R. Chatwin. (2009). Colorectal Cancer: Texture Analysis of Portal Phase Hepatic CT Images as a Potential Marker of Survival. Radiology. 250(2). 444–452. 213 indexed citations
7.
Kumar, Aravind S. Ravi, et al.. (2006). Incidental Finding of Thyroid Uptake of Tc-99m Tetrofosmin on a Myocardial Perfusion Scan. Clinical Nuclear Medicine. 32(1). 73–75. 2 indexed citations
8.
Davies, Claire, Joanna S. Morris, Matthew R. Griffiths, et al.. (2006). Proteomic analysis of the mouse mammary gland is a powerful tool to identify novel proteins that are differentially expressed during mammary development. PROTEOMICS. 6(21). 5694–5704. 32 indexed citations
9.
10.
Miles, Kenneth A., et al.. (2005). Blood flow–metabolic relationships are dependent on tumour size in non-small cell lung cancer: a study using quantitative contrast-enhanced computer tomography and positron emission tomography. European Journal of Nuclear Medicine and Molecular Imaging. 33(1). 22–28. 80 indexed citations
11.
Welsh, Gavin I., et al.. (2004). Proteome analysis of adipogenesis. PROTEOMICS. 4(4). 1042–1051. 47 indexed citations
12.
Morris, Joanna S., Claire Davies, Matthew R. Griffiths, et al.. (2004). Proteomic analysis of mouse mammary terminal end buds identifies axonal growth cone proteins. PROTEOMICS. 4(6). 1802–1810. 8 indexed citations
13.
Adam, Paul J., Robert S. Boyd, Kerry Tyson, et al.. (2003). Comprehensive Proteomic Analysis of Breast Cancer Cell Membranes Reveals Unique Proteins with Potential Roles in Clinical Cancer. Journal of Biological Chemistry. 278(8). 6482–6489. 177 indexed citations
14.
Wong, J. & Matthew R. Griffiths. (2003). Precision of bone densitometry measurements: When is change true change and does it vary across bone density values?. Australasian Radiology. 47(3). 236–239. 6 indexed citations
15.
Wong, J., Louise McEwan, Naomi Lee, Matthew R. Griffiths, & Nicholas Pocock. (2003). The diagnostic role of dual femur bone density measurement in low-impact fractures. Osteoporosis International. 14(4). 339–344. 12 indexed citations
16.
Miles, Kenneth A. & Matthew R. Griffiths. (2003). Perfusion CT: a worthwhile enhancement?. British Journal of Radiology. 76(904). 220–231. 326 indexed citations
17.
Wong, J. & Matthew R. Griffiths. (2002). Comparative Evaluation of the DPX and DPX-IQ Lunar Densitometer Systems Following Software Upgrade. Journal of Clinical Densitometry. 5(2). 199–205. 2 indexed citations
18.
Miles, Kenneth A., et al.. (2001). Standardized Perfusion Value: Universal CT Contrast Enhancement Scale that Correlates with FDG PET in Lung Nodules. Radiology. 220(2). 548–553. 83 indexed citations
19.
Krook, Anna, Jonathan P. Whitehead, Matthew R. Griffiths, et al.. (1997). Two Naturally Occurring Insulin Receptor Tyrosine Kinase Domain Mutants Provide Evidence That Phosphoinositide 3-Kinase Activation Alone Is Not Sufficient for the Mediation of Insulin's Metabolic and Mitogenic Effects. Journal of Biological Chemistry. 272(48). 30208–30214. 74 indexed citations
20.
Tavaré, Jeremy M., et al.. (1996). Regulation of gene expression by insulin: analysis in single living cells. Biochemical Society Transactions. 24(2). 378–384. 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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