Danielle Moore

25 papers receiving 569 citations

Peers

Danielle Moore
Comparison fields: 5 of 82
  • Health 92
  • Neuropsychology and Physiological Psychology 17
  • Geriatrics and Gerontology 24
  • General Health Professions 135
  • Toxicology 16
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Jean Vézina Canada
Alisa A. O’Riley United States
Jeffrey J. Gregg United States
Anna Kågström Czechia
Anne‐Nicole Casey Australia
Kathleen Kim United States
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Countries citing papers authored by Danielle Moore

Since Specialization
Citations

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

Fields of papers citing papers by Danielle Moore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018134
2 201483
3 201871
4 201944
5 201327
6 201626
7 202026
8 201926
9 201924
10 201623
11 201921
12 201519
13 201813
14 202112
15 20149
16 20208
17 20187
18
Overcoming the challenges of translating mental health instruments into sign languages
20136
19 20203
20 20143

About Danielle Moore

Danielle Moore is a scholar working on General Health Professions, Public Health, Environmental and Occupational Health, Clinical Psychology, Sociology and Political Science and Cognitive Neuroscience, having authored 27 papers that have together received 591 indexed citations. Recurring topics across this work include Geriatric Care and Nursing Homes (5 papers), Palliative Care and End-of-Life Issues (4 papers), Autism Spectrum Disorder Research (2 papers), Language, Discourse, Communication Strategies (2 papers), Schizophrenia research and treatment (2 papers), Hearing Impairment and Communication (2 papers), Intergenerational Family Dynamics and Caregiving (2 papers) and Interpreting and Communication in Healthcare (2 papers). The work is most often cited by research in Health (92 citations), Neuropsychology and Physiological Psychology (17 citations), Geriatrics and Gerontology (24 citations), General Health Professions (135 citations) and Toxicology (16 citations). Danielle Moore has collaborated with scholars based in United Kingdom, Netherlands and Belgium. Frequent co-authors include Barbara Hanratty, Daniel Stow, Nicole Valtorta, Lynn L. Barron, Barry Wright, Fiona E. Matthews, Katherine Froggatt, Victoria Allgar, Lieve Van den Block and Thomas Keegan. Their work appears in journals such as BMJ Open, International Journal of Environmental Research and Public Health, Age and Ageing, Social Psychiatry and Psychiatric Epidemiology and International Journal of Nursing Studies.

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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