Mary Bear

618 citations
20 papers · 475 · h-index 9

Impact in

Papers in

Mary Bear

20 papers receiving 417 citations

Peers

Mary Bear
Comparison fields: 5 of 78
  • Research and Theory 23
  • General Health Professions 223
  • Leadership and Management 7
  • Issues, ethics and legal aspects 6
  • Radiological and Ultrasound Technology 20
Replace Nidal F. Eshah with:
Nidal F. Eshah Jordan
Erin McArthur United States
Bernard M.C. Yam Hong Kong
Denise Polit-O'Hara
Carol Davies United Kingdom
Ann White United States
Queen Utley‐Smith United States
Carolyn Jackson United Kingdom
Rasika Jayasekara Australia
Thomas Kippenbrock United States
Mary Bear relative to Nidal F. Eshah Jordan Nidal F. Eshah's profile →
Citations per field
00.5×1.5×
Nidal F. Eshah · 1×
Citations per year

Countries citing papers authored by Mary Bear

Since Specialization
Citations

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

Fields of papers citing papers by Mary Bear

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 6 scholars most cited alongside Mary Bear, 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 Mary Bear Line = papers co-authored together Mary Bear links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2008183
2 200980
3 199850
4 200042
5 199721
6 201120
7 200719
8 19898
9 20118
10 20137
11 20007
12 19996
13 20005
14 19975
15 20004
16 19993
17 19993
18 19972
19 19931
20 19971

About Mary Bear

Mary Bear is a scholar working on General Health Professions, Public Health, Environmental and Occupational Health, Rheumatology, Economics and Econometrics and Education, having authored 20 papers that have together received 475 indexed citations. Recurring topics across this work include Patient Satisfaction in Healthcare (7 papers), Geriatric Care and Nursing Homes (4 papers), Healthcare Policy and Management (3 papers), Pelvic floor disorders treatments (3 papers), Primary Care and Health Outcomes (2 papers), Migration, Aging, and Tourism Studies (2 papers), Pressure Ulcer Prevention and Management (2 papers) and Customer Service Quality and Loyalty (2 papers). The work is most often cited by research in Research and Theory (23 citations), General Health Professions (223 citations), Leadership and Management (7 citations), Issues, ethics and legal aspects (6 citations) and Radiological and Ultrasound Technology (20 citations). Mary Bear has collaborated with scholars based in United States. Frequent co-authors include Debra L. Wagner, Clint Bowers, Pam Pieper, Florian Jentsch, Molly C. Dougherty and Jeffrey W. Dwyer. Their work appears in journals such as Journal of Wound Ostomy and Continence Nursing, Public Health Nursing, Journal of Gerontological Social Work, Journal of Applied Gerontology and Journal of Nursing Education.

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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