Niamh Moore

580 total citations
43 papers, 397 citations indexed

About

Niamh Moore is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Niamh Moore has authored 43 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Radiology, Nuclear Medicine and Imaging, 11 papers in Biomedical Engineering and 9 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Niamh Moore's work include Radiation Dose and Imaging (19 papers), Advanced X-ray and CT Imaging (10 papers) and Medical Imaging Techniques and Applications (9 papers). Niamh Moore is often cited by papers focused on Radiation Dose and Imaging (19 papers), Advanced X-ray and CT Imaging (10 papers) and Medical Imaging Techniques and Applications (9 papers). Niamh Moore collaborates with scholars based in Ireland, Australia and Switzerland. Niamh Moore's co-authors include Owen J. O’Connor, Michael M. Maher, Mark F. McEntee, Richard G. Kavanagh, Sebastian McWilliams, Siobhán O’Neill, David Moore, Brian W. Carey, Andrew England and ‎Maria Twomey and has published in prestigious journals such as Radiology, American Journal of Roentgenology and Quaternary Science Reviews.

In The Last Decade

Niamh Moore

36 papers receiving 390 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Niamh Moore Ireland 12 235 131 127 34 27 43 397
Phuong-Anh T. Duong United States 12 302 1.3× 68 0.5× 117 0.9× 41 1.2× 15 0.6× 26 424
Lluís Donoso-Bach Spain 6 191 0.8× 55 0.4× 52 0.4× 29 0.9× 28 1.0× 8 340
Gabriel Sartori Pacini Brazil 9 104 0.4× 114 0.9× 64 0.5× 33 1.0× 24 0.9× 26 270
Marla B. K. Sammer United States 10 130 0.6× 52 0.4× 22 0.2× 85 2.5× 29 1.1× 41 280
Maurizio Balbi Italy 10 165 0.7× 115 0.9× 33 0.3× 28 0.8× 84 3.1× 32 360
Anja Almén Sweden 15 538 2.3× 299 2.3× 295 2.3× 64 1.9× 26 1.0× 49 654
Lea Azour United States 10 161 0.7× 298 2.3× 69 0.5× 62 1.8× 42 1.6× 41 468
Graciano Paulo Portugal 15 568 2.4× 114 0.9× 326 2.6× 48 1.4× 55 2.0× 43 629
Elanchezhian Somasundaram United States 8 203 0.9× 36 0.3× 145 1.1× 32 0.9× 11 0.4× 22 331
Jennifer L. Black‐Shinn United States 8 161 0.7× 325 2.5× 85 0.7× 28 0.8× 21 0.8× 9 500

Countries citing papers authored by Niamh Moore

Since Specialization
Citations

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

Fields of papers citing papers by Niamh Moore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Niamh Moore

This figure shows the co-authorship network connecting the top 25 collaborators of Niamh Moore. A scholar is included among the top collaborators of Niamh Moore 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 Niamh Moore. Niamh Moore 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.
Moore, Niamh, et al.. (2025). Automatic 3D camera positioning in cardiac computed tomography: A phantom study. Radiography. 31(4). 102981–102981.
2.
Moore, Niamh, et al.. (2025). Image quality in ultra-low-dose chest CT versus chest x-rays guiding paediatric cystic fibrosis care. European Radiology. 36(1). 586–596. 1 indexed citations
3.
England, Andrew, et al.. (2024). Radiographers’ perceptions of the experiences of patients with dementia attending the radiology department. Journal of medical imaging and radiation sciences. 55(2). 189–196.
4.
Rawashdeh, Mohammad, et al.. (2024). Radiographers’ knowledge, clinical expertise and application of pain management strategies in the radiology department: Results from a qualitative focus group. Journal of medical imaging and radiation sciences. 56(2). 101833–101833.
5.
Moore, Niamh, et al.. (2024). An investigation into the knowledge, attitudes, and practice of radiation protection in interventional radiology and cardiac catheter-laboratories. Journal of medical imaging and radiation sciences. 55(3). 101440–101440. 2 indexed citations
6.
Henry, Patrick, Patrick Coghlan, Claire Crowley, et al.. (2023). Analytic Morphomics in Myositis-Related Interstitial Lung Disease. Lung. 201(4). 345–353. 1 indexed citations
7.
Moore, Niamh, et al.. (2023). CT in the detection of latent tuberculosis: a systematic review. Clinical Radiology. 78(8). 568–575. 2 indexed citations
8.
Alashban, Yazeed, et al.. (2023). The effect of contact radiation shielding on breast dose during CT abdomen–pelvis: a phantom study. Radiation Protection Dosimetry. 199(17). 2104–2111.
9.
Moore, Niamh, et al.. (2023). Radiographers’ knowledge and attitudes toward dementia. Radiography. 29(2). 456–461. 6 indexed citations
10.
McEntee, Mark F., et al.. (2023). Radiographers’ attitudes toward the use of lead contact shielding. Journal of medical imaging and radiation sciences. 54(3). 415–420.
11.
12.
Gilley, Robert S., David Moloney, Niamh Moore, et al.. (2023). Establishing weight-based diagnostic reference levels for neonatal chest X-rays. Radiography. 29(4). 812–817. 3 indexed citations
13.
Moore, Niamh, et al.. (2022). Radiographers’ knowledge, attitudes and expectations of artificial intelligence in medical imaging. Radiography. 28(4). 943–948. 34 indexed citations
14.
Moloney, Fiachra, Richard G. Kavanagh, N.J. Ronan, et al.. (2021). Ultra-low-dose thoracic CT with model-based iterative reconstruction (MBIR) in cystic fibrosis patients undergoing treatment with cystic fibrosis transmembrane conductance regulators (CFTR). Clinical Radiology. 76(5). 393.e9–393.e17. 17 indexed citations
15.
Moore, Niamh, et al.. (2021). Identifying barriers to Irish traveller women attending breast screening. Radiography. 28(2). 348–352. 5 indexed citations
16.
Carey, Brian W., Niamh Moore, D. Mullane, et al.. (2021). Computed tomography in cystic fibrosis lung disease: a focus on radiation exposure. Pediatric Radiology. 51(4). 544–553. 14 indexed citations
17.
Crowley, Claire, Ernest Ekpo, Brian W. Carey, et al.. (2020). Radiation dose tracking in computed tomography: Red alerts and feedback. Implementing a radiation dose alert system in CT. Radiography. 27(1). 67–74. 11 indexed citations
18.
McLaughlin, Patrick D., Kevin P. Murphy, ‎Maria Twomey, et al.. (2016). Pure Iterative Reconstruction Improves Image Quality in Computed Tomography of the Abdomen and Pelvis Acquired at Substantially Reduced Radiation Doses in Patients With Active Crohn Disease. Journal of Computer Assisted Tomography. 40(2). 225–233. 5 indexed citations
19.
Moloney, Fiachra, Kevin P. Murphy, ‎Maria Twomey, et al.. (2016). Low-Dose Carotid Computed Tomography Angiography Using Pure Iterative Reconstruction. Journal of Computer Assisted Tomography. 40(5). 833–839. 6 indexed citations
20.
Kinsella, Sinéad, Kevin P. Murphy, Micheál Breen, et al.. (2015). Comparison of single CT scan assessment of bone mineral density, vascular calcification and fat mass with standard clinical measurements in renal transplant subjects: the ABC HeART study. BMC Nephrology. 16(1). 188–188. 16 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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2026