Amanda Ng

953 citations
22 papers · 710 · h-index 12

Impact in

Papers in

Amanda Ng

22 papers receiving 703 citations

Peers

Amanda Ng
Comparison fields: 5 of 109
  • Radiology, Nuclear Medicine and Imaging 182
  • Neurology 92
  • Cognitive Neuroscience 111
  • Neurology 38
  • Nutrition and Dietetics 59
Replace Steven D. Brass with:
Steven D. Brass United States
Hongyan Ni China
Petrice M. Cogswell United States
Wouter S. Hoogenboom United States
Nathalie Bednarek France
Élise Bannier France
Hirohito Kan Japan
Matthew Smith Canada
Damjan Osredkar Slovenia
Xiaoyan Jia China
Amanda Ng relative to Steven D. Brass United States Steven D. Brass's profile →
Citations per field
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Citations per year

Countries citing papers authored by Amanda Ng

Since Specialization
Citations

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

Fields of papers citing papers by Amanda Ng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Amanda Ng, 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 Amanda Ng Line = papers co-authored together Amanda Ng links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017229
2 201586
3 201483
4 201466
5 201353
6 202232
7 202231
8 201730
9 201725
10 201717
11 201613
12 201111
13 20107
14 20197
15 20234
16 20174
17 20174
18 20242
19 20162
20 20172

About Amanda Ng

Amanda Ng is a scholar working on Radiology, Nuclear Medicine and Imaging, Epidemiology, Cognitive Neuroscience, Neurology and Physiology, having authored 22 papers that have together received 710 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (6 papers), Functional Brain Connectivity Studies (4 papers), Acute Ischemic Stroke Management (3 papers), Advanced Neuroimaging Techniques and Applications (3 papers), Dementia and Cognitive Impairment Research (3 papers), MRI in cancer diagnosis (2 papers), Youth Development and Social Support (2 papers) and Folate and B Vitamins Research (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (182 citations), Neurology (92 citations), Cognitive Neuroscience (111 citations), Neurology (38 citations) and Nutrition and Dietetics (59 citations). Amanda Ng has collaborated with scholars based in Australia, United States and South Korea. Frequent co-authors include Gary F. Egan, Parnesh Raniga, Peter Boersma, Roger J. Ordidge, Govinda Poudel, Shawna Farquharson, David Ames, Scott Ayton, Nicholas J. Ferris and Amir Fazlollahi. Their work appears in journals such as NeuroImage, Alzheimer s & Dementia, The Spine Journal, International Journal of Wellbeing and Frontiers in Neuroscience.

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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