Win Tadd

32 papers receiving 608 citations

Peers

Win Tadd
Comparison fields: 5 of 73
  • Neuropsychology and Physiological Psychology 32
  • Research and Theory 17
  • General Health Professions 355
  • Public Health, Environmental and Occupational Health 396
  • Clinical Psychology 224
Replace Hazel Heath with:
Hazel Heath United Kingdom
Juliana C. Cartwright United States
Elisabeth Häggström Sweden
Jean Lange United States
Begoña Errasti‐Ibarrondo Spain
Mila Ann Aroskar United States
Herdis Alvsvåg Norway
John Bidewell Australia
Ann‐Louise Glasberg Norway
Berit Sæteren Norway
Win Tadd relative to Hazel Heath United Kingdom Hazel Heath's profile →
Citations per field
00.5×3.4×
Hazel Heath · 1×
Citations per year

Countries citing papers authored by Win Tadd

Since Specialization
Citations

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

Fields of papers citing papers by Win Tadd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200677
2 200572
3
Dignity in Practice: An exploration of the care of older adults in acute NHS Trusts
201167
4 201163
5 201255
6 200541
7 200540
8 201337
9 199236
10 201229
11
Views on dignity in providing health care for older people.
200526
12 201019
13 200517
14 200213
15 200211
16 201211
17 199210
18 20058
19 20066
20 19895

About Win Tadd

Win Tadd is a scholar working on Public Health, Environmental and Occupational Health, General Health Professions, Clinical Psychology, Pediatrics, Perinatology and Child Health and Health Information Management, having authored 32 papers that have together received 674 indexed citations. Recurring topics across this work include Patient Dignity and Privacy (15 papers), Palliative Care and End-of-Life Issues (11 papers), Ethics in medical practice (8 papers), Grief, Bereavement, and Mental Health (4 papers), Ethics and Legal Issues in Pediatric Healthcare (3 papers), Patient-Provider Communication in Healthcare (3 papers), Healthcare Quality and Management (2 papers) and Healthcare Decision-Making and Restraints (2 papers). The work is most often cited by research in Neuropsychology and Physiological Psychology (32 citations), Research and Theory (17 citations), General Health Professions (355 citations), Public Health, Environmental and Occupational Health (396 citations) and Clinical Psychology (224 citations). Win Tadd has collaborated with scholars based in United Kingdom, Slovakia and Spain. Frequent co-authors include Antony Bayer, Simon Read, Alexandra Hillman, Michael Calnan, Ruth Chadwick, Paul Dieppe, Gillian Woolhead, Sergio Ariño‐Blasco, Mike Calnan and Chryssoula Lemonidou. Their work appears in journals such as Quality in Ageing and Older Adults, Nursing Ethics, Ageing and Society, Age and Ageing and Nurse Education Today.

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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