Beth Mastel‐Smith

37 papers receiving 745 citations

Peers

Beth Mastel‐Smith
Comparison fields: 5 of 89
  • Neuropsychology and Physiological Psychology 59
  • Research and Theory 18
  • Psychiatry and Mental health 118
  • General Health Professions 188
  • Demography 89
Replace Lois B. Taft with:
Lois B. Taft United States
Shu‐Yuan Chao Taiwan
Iris A. Parham United States
Mary Ann Jarvis South Africa
JoAnn Perry Canada
Margareta Rämgård Sweden
Claire Dickinson United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Beth Mastel‐Smith

Since Specialization
Citations

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

Fields of papers citing papers by Beth Mastel‐Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Beth Mastel‐Smith. 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 Beth Mastel‐Smith. The network helps show where Beth Mastel‐Smith may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200990
2 201670
3 201251
4 201544
5 201840
6 201538
7 201236
8 200635
9 200734
10 201132
11 201927
12 201527
13 201026
14 200626
15 201126
16 202025
17 201922
18 201618
19 201317
20 201613

About Beth Mastel‐Smith

Beth Mastel‐Smith is a scholar working on General Health Professions, Sociology and Political Science, Clinical Psychology, Neuropsychology and Physiological Psychology and Emergency Medical Services, having authored 41 papers that have together received 788 indexed citations. Recurring topics across this work include Aging and Gerontology Research (6 papers), Cultural Competency in Health Care (6 papers), Geriatric Care and Nursing Homes (6 papers), Identity, Memory, and Therapy (4 papers), Global Health Workforce Issues (3 papers), Family and Disability Support Research (3 papers), Disaster Response and Management (3 papers) and Empathy and Medical Education (3 papers). The work is most often cited by research in Neuropsychology and Physiological Psychology (59 citations), Research and Theory (18 citations), Psychiatry and Mental health (118 citations), General Health Professions (188 citations) and Demography (89 citations). Beth Mastel‐Smith has collaborated with scholars based in United States, Japan and Taiwan. Frequent co-authors include Danita Alfred, Gayle Hersch, Melinda Hermanns, Jeffrey T. Huber, Sandra K. Cesario, Lene Symes, Ann Malecha, Judith McFarlane, Yu‐Hua Lin and Heather B. Taylor. Their work appears in journals such as Journal of Gerontological Nursing, Innovation in Aging, Journal of Nursing Education, Journal of Professional Nursing and Teaching and learning in nursing.

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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