Niall Moore

1.1k citations
20 papers · 549 · h-index 11

Impact in

Papers in

    • MRI in cancer diagnosis 7
    • Medical Imaging Techniques and Applications 4
    • Radiomics and Machine Learning in Medical Imaging 4
    • Advanced MRI Techniques and Applications 2
    • Gastrointestinal disorders and treatments 2

Niall Moore

20 papers receiving 526 citations

Peers

Niall Moore
Comparison fields: 5 of 71
  • Radiology, Nuclear Medicine and Imaging 292
  • Computer Vision and Pattern Recognition 106
  • Cancer Research 56
  • Surgery 87
  • Neurology 26
Replace Xiaomei Huang with:
Xiaomei Huang China
Si‐Wa Chan Taiwan
Michael P. Hayball United Kingdom
Jiawei Sun China
Daniel Appelbaum United States
Haojiang Li China
Brian Hrycushko United States
Kiyoka Omoto Japan
Fiona M. Fennessy United States
Niall Moore relative to Xiaomei Huang China Xiaomei Huang's profile →
Citations per field
00.5×1.7×
Xiaomei Huang · 1×
Citations per year

Countries citing papers authored by Niall Moore

Since Specialization
Citations

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

Fields of papers citing papers by Niall Moore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Niall Moore, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Niall Moore Line = papers co-authored together Niall Moore links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 1997111
2 199367
3 200560
4
The natural history of cerebellar hemangioblastomas in von Hippel-Lindau disease.
200358
5 200544
6 200340
7 199937
8 199631
9 201119
10 199415
11 201411
12 200210
13 200110
14 20149
15 20136
16 20196
17 20126
18 20115
19 20063
20 20161

About Niall Moore

Niall Moore is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery, Pulmonary and Respiratory Medicine, Computer Vision and Pattern Recognition and Cardiology and Cardiovascular Medicine, having authored 20 papers that have together received 549 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (7 papers), Medical Imaging Techniques and Applications (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Medical Image Segmentation Techniques (2 papers), Gastrointestinal disorders and treatments (2 papers), Advanced MRI Techniques and Applications (2 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Body Composition Measurement Techniques (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (292 citations), Computer Vision and Pattern Recognition (106 citations), Cancer Research (56 citations), Surgery (87 citations) and Neurology (26 citations). Niall Moore has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Paul Hayton, Michael Brady, Lionel Tarassenko, Susan Huson, Christian Behrenbruch, Paul A. Armitage, Andrew Slater, Michael Brady, Peter K. Panegyres and Rod Gibson. Their work appears in journals such as Medical Image Analysis, Emergency Radiology, International Journal of Hematology, Clinical Radiology and Magnetic Resonance Imaging Clinics of North America.

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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