Mary E. Finnegan

661 total citations
21 papers, 509 citations indexed

About

Mary E. Finnegan is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Nutrition and Dietetics. According to data from OpenAlex, Mary E. Finnegan has authored 21 papers receiving a total of 509 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Pulmonary and Respiratory Medicine and 3 papers in Nutrition and Dietetics. Recurrent topics in Mary E. Finnegan's work include Radiomics and Machine Learning in Medical Imaging (8 papers), MRI in cancer diagnosis (7 papers) and Prostate Cancer Diagnosis and Treatment (5 papers). Mary E. Finnegan is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (8 papers), MRI in cancer diagnosis (7 papers) and Prostate Cancer Diagnosis and Treatment (5 papers). Mary E. Finnegan collaborates with scholars based in United Kingdom, Australia and United States. Mary E. Finnegan's co-authors include Joanna F. Collingwood, Hayley M. Reynolds, Annette Haworth, Scott Williams, Darren Wraith, Sun Yu, Jon Dobson, Catherine Mitchell, Rebecca Quest and Marina A. Lynch and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and NeuroImage.

In The Last Decade

Mary E. Finnegan

19 papers receiving 504 citations

Peers

Mary E. Finnegan
Mary E. Finnegan
Citations per year, relative to Mary E. Finnegan Mary E. Finnegan (= 1×) peers Lingfei Guo

Countries citing papers authored by Mary E. Finnegan

Since Specialization
Citations

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

Fields of papers citing papers by Mary E. Finnegan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mary E. Finnegan. 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 Mary E. Finnegan. The network helps show where Mary E. Finnegan may publish in the future.

Co-authorship network of co-authors of Mary E. Finnegan

This figure shows the co-authorship network connecting the top 25 collaborators of Mary E. Finnegan. A scholar is included among the top collaborators of Mary E. Finnegan 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 Mary E. Finnegan. Mary E. Finnegan 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.
Jones, Ben, Neil Rane, Mary E. Finnegan, et al.. (2024). Effect of evolocumab on carotid plaque composition in asymptomatic carotid artery stenosis (EVOCAR-1) using magnetic resonance imaging. Journal of clinical lipidology. 18(5). e855–e866.
2.
Reynolds, Hayley M., Yufeng Wang, Maryam Montazerolghaem, et al.. (2022). Semi-quantitative and quantitative dynamic contrast-enhanced (DCE) MRI parameters as prostate cancer imaging biomarkers for biologically targeted radiation therapy. Cancer Imaging. 22(1). 71–71. 4 indexed citations
3.
Finnegan, Mary E., et al.. (2021). An open-source musculoskeletal model of the lumbar spine and lower limbs: a validation for movements of the lumbar spine. Computer Methods in Biomechanics & Biomedical Engineering. 24(12). 1310–1325. 21 indexed citations
4.
Ding, Ziyun, Peter Le Feuvre, Mary E. Finnegan, et al.. (2021). Understanding lower limb muscle volume adaptations to amputation. Journal of Biomechanics. 125. 110599–110599. 17 indexed citations
5.
Statton, Ben, et al.. (2021). Temperature dependence, accuracy, and repeatability of T1 and T2 relaxation times for the ISMRM/NIST system phantom measured using MR fingerprinting. Magnetic Resonance in Medicine. 87(3). 1446–1460. 13 indexed citations
6.
Yu, Sun, Hayley M. Reynolds, Darren Wraith, et al.. (2019). Multiparametric MRI and radiomics in prostate cancer: a review. Australasian Physical & Engineering Sciences in Medicine. 42(1). 3–25. 81 indexed citations
7.
Finnegan, Mary E., Naomi P. Visanji, Isolda Romero‐Canelón, et al.. (2019). Synchrotron XRF imaging of Alzheimer’s disease basal ganglia reveals linear dependence of high-field magnetic resonance microscopy on tissue iron concentration. Journal of Neuroscience Methods. 319. 28–39. 13 indexed citations
8.
Klemt, Christian, Daniel Nolte, Ziyun Ding, et al.. (2019). Anthropometric Scaling of Anatomical Datasets for Subject-Specific Musculoskeletal Modelling of the Shoulder. Annals of Biomedical Engineering. 47(4). 924–936. 19 indexed citations
9.
Yu, Sun, Hayley M. Reynolds, Darren Wraith, et al.. (2019). Automatic stratification of prostate tumour aggressiveness using multiparametric MRI: a horizontal comparison of texture features. Acta Oncologica. 58(8). 1118–1126. 17 indexed citations
10.
Reynolds, Hayley M., Mary E. Finnegan, Eddie Lau, et al.. (2018). Assessing DCE-MRI and DWI as treatment response biomarkers after SABR for primary renal cell carcinoma.. Journal of Clinical Oncology. 36(15_suppl). e16587–e16587. 1 indexed citations
11.
Reynolds, Hayley M., Mary E. Finnegan, Eddie Lau, et al.. (2018). Diffusion weighted and dynamic contrast enhanced MRI as an imaging biomarker for stereotactic ablative body radiotherapy (SABR) of primary renal cell carcinoma. PLoS ONE. 13(8). e0202387–e0202387. 16 indexed citations
12.
Yu, Sun, Hayley M. Reynolds, Darren Wraith, et al.. (2018). Voxel-wise prostate cell density prediction using multiparametric magnetic resonance imaging and machine learning. Acta Oncologica. 57(11). 1540–1546. 20 indexed citations
13.
Yu, Sun, Hayley M. Reynolds, Darren Wraith, et al.. (2017). Predicting prostate tumour location from multiparametric MRI using Gaussian kernel support vector machines: a preliminary study. Australasian Physical & Engineering Sciences in Medicine. 40(1). 39–49. 24 indexed citations
14.
Reynolds, Hayley M., Scott Williams, Rajib Chakravorty, et al.. (2015). Development of a registration framework to validate MRI with histology for prostate focal therapy. Medical Physics. 42(12). 7078–7089. 45 indexed citations
15.
Visanji, Naomi P., Joanna F. Collingwood, Mary E. Finnegan, et al.. (2013). Iron Deficiency in Parkinsonism: Region-Specific Iron Dysregulation in Parkinson's Disease and Multiple System Atrophy. Journal of Parkinson s Disease. 3(4). 523–537. 46 indexed citations
16.
Ugarte, Marta, G.W. Grime, Kalotina Geraki, et al.. (2012). Concentration of various trace elements in the rat retina and their distribution in different structures. Metallomics. 4(12). 1245–1245. 43 indexed citations
17.
Gallagher, Joseph J., et al.. (2012). Modest Amyloid Deposition is Associated with Iron Dysregulation, Microglial Activation, and Oxidative Stress. Journal of Alzheimer s Disease. 28(1). 147–161. 56 indexed citations
18.
Antharam, Vijay C., Joanna F. Collingwood, Mark R. Davidson, et al.. (2011). High field magnetic resonance microscopy of the human hippocampus in Alzheimer's disease: Quantitative imaging and correlation with iron. NeuroImage. 59(2). 1249–1260. 69 indexed citations
19.
Millar, David, et al.. (1998). Alcohol and drugs as factors in offending behaviour: Garda survey.. HRB National Drugs Library (Health Research Board). 1 indexed citations
20.
Finnegan, Mary E.. (1985). Irish-French Relations in Lower Canada. 2 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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