Elizabeth E. Moore

28 papers receiving 598 citations

Peers

Elizabeth E. Moore
Comparison fields: 5 of 72
  • Neurology 67
  • Psychiatry and Mental health 114
  • Health, Toxicology and Mutagenesis 95
  • Cardiology and Cardiovascular Medicine 139
  • Neurology 52
Replace Francesco Tibuzzi with:
Francesco Tibuzzi Italy
Wanwei Li China
Anna M. Oleksik Netherlands
Bhavini Patel United Kingdom
Sari Rastas Finland
F. Vingerhoets Switzerland
Mohamed Hamza United States
Adina Stan Romania
Gaetano Gorgone Italy
L R Caplan United States
Elizabeth E. Moore relative to Francesco Tibuzzi Italy Francesco Tibuzzi's profile →
Citations per field
00.5×9.2×
Francesco Tibuzzi · 1×
Citations per year

Countries citing papers authored by Elizabeth E. Moore

Since Specialization
Citations

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

Fields of papers citing papers by Elizabeth E. Moore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018142
2 199497
3 201945
4 201845
5 201836
6 202135
7 202128
8 202024
9 202022
10 202117
11 201817
12 201814
13 202013
14 202113
15 202010
16 20239
17 20209
18 20208
19 20236
20 20245

About Elizabeth E. Moore

Elizabeth E. Moore is a scholar working on Psychiatry and Mental health, Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine, Physiology and Cognitive Neuroscience, having authored 31 papers that have together received 606 indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (10 papers), Advanced Neuroimaging Techniques and Applications (9 papers), Cardiovascular Health and Disease Prevention (7 papers), Alzheimer's disease research and treatments (3 papers), Blood Pressure and Hypertension Studies (3 papers), Cerebrovascular and Carotid Artery Diseases (3 papers), Functional Brain Connectivity Studies (3 papers) and Heart Rate Variability and Autonomic Control (2 papers). The work is most often cited by research in Neurology (67 citations), Psychiatry and Mental health (114 citations), Health, Toxicology and Mutagenesis (95 citations), Cardiology and Cardiovascular Medicine (139 citations) and Neurology (52 citations). Elizabeth E. Moore has collaborated with scholars based in United States, Sweden and United Kingdom. Frequent co-authors include Angela L. Jefferson, Katherine A. Gifford, Timothy J. Hohman, Kimberly R. Pechman, Susan P. Bell, Dale W. Margerum, Francis E. Cambronero, Kaj Blennow, Henrik Zetterberg and Dandan Liu. Their work appears in journals such as Alzheimer s & Dementia, Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring, Neurobiology of Aging, NeuroImage Clinical and Journal of Alzheimer s Disease.

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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