Darly Dash

27 papers receiving 339 citations

Peers

Darly Dash
Comparison fields: 5 of 63
  • Applied Psychology 27
  • Geriatrics and Gerontology 17
  • Physiology 97
  • Social Psychology 59
  • General Health Professions 66
Replace Thomas E. Ylioja with:
Thomas E. Ylioja United States
Ben J. Smith Australia
Rugero Anderson Vaz Bulzing United Kingdom
Monika Slovinec D’Angelo Canada
Pushpa Nair United Kingdom
Patricia O’Regan Ireland
Flávio Rebustini Brazil
Hilary Groarke United Kingdom
Zhaozhao Hui China
Shérazade Kinouani France
Darly Dash relative to Thomas E. Ylioja United States Thomas E. Ylioja's profile →
Citations per field
00.5×2×4×6×8×9.3×
Thomas E. Ylioja · 1×
Citations per year

Countries citing papers authored by Darly Dash

Since Specialization
Citations

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

Fields of papers citing papers by Darly Dash

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201762
2 201852
3 202443
4 201831
5 201825
6 202523
7 201620
8 201817
9 201712
10 202211
11 20199
12 20237
13 20234
14 20214
15 20214
16 20234
17 20223
18 20243
19 20253
20 20223

About Darly Dash

Darly Dash is a scholar working on General Health Professions, Geriatrics and Gerontology, Neuropsychology and Physiological Psychology, Psychiatry and Mental health and Physiology, having authored 33 papers that have together received 348 indexed citations. Recurring topics across this work include Geriatric Care and Nursing Homes (13 papers), Frailty in Older Adults (5 papers), Smoking Behavior and Cessation (5 papers), Dementia and Cognitive Impairment Research (4 papers), Aging and Gerontology Research (3 papers), Delphi Technique in Research (2 papers), Patient Satisfaction in Healthcare (2 papers) and Palliative Care and End-of-Life Issues (2 papers). The work is most often cited by research in Applied Psychology (27 citations), Geriatrics and Gerontology (17 citations), Physiology (97 citations), Social Psychology (59 citations) and General Health Professions (66 citations). Darly Dash has collaborated with scholars based in Canada, United States and Netherlands. Frequent co-authors include Neill Bruce Baskerville, L C Struik, Ryan David Kennedy, Andrew Paul Costa, Jennifer L. Yessis, Catherine Marie Burns, David G. Hammond, Godefroy Emmanuel Guindon, Karen S Brown and Robyn Whittaker. Their work appears in journals such as Journal of the American Medical Directors Association, Journal of the American Geriatrics Society, BMC Geriatrics, BMJ Open and JMIR mhealth and uhealth.

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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