Alison Shaw

126 papers receiving 3.6k citations

Peers

Alison Shaw
Comparison fields: 5 of 176
  • Complementary and alternative medicine 415
  • General Health Professions 1.2k
  • Applied Psychology 191
  • Applied Microbiology and Biotechnology 70
  • Family Practice 59
Replace Ian Watt with:
Ian Watt United Kingdom
Felicity Goodyear‐Smith New Zealand
Anne Walker United Kingdom
Marianne Carlsson Sweden
Ann Louise Kinmonth United Kingdom
Graham Moore United Kingdom
Gavin Daker‐White United Kingdom
Stephen J. Zyzanski United States
Linda Squiers United States
Patrick White United Kingdom
Alison Shaw relative to Ian Watt United Kingdom Ian Watt's profile →
Citations per field
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Citations per year

Countries citing papers authored by Alison Shaw

Since Specialization
Citations

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

Fields of papers citing papers by Alison Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 127 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008298
2 2009269
3 2009134
4 2005134
5 2001124
6
A Pakistani community in Britain
1988115
7 2007112
8 2002100
9 200685
10 200783
11 201183
12 200781
13 200671
14 201667
15 200864
16 200662
17 200655
18 200854
19 201754
20 200652

About Alison Shaw

Alison Shaw is a scholar working on General Health Professions, Complementary and alternative medicine, Psychiatry and Mental health, Sociology and Political Science and Public Health, Environmental and Occupational Health, having authored 127 papers that have together received 3.9k indexed citations. Recurring topics across this work include Complementary and Alternative Medicine Studies (19 papers), Patient-Provider Communication in Healthcare (18 papers), Health Systems, Economic Evaluations, Quality of Life (11 papers), Mental Health and Psychiatry (8 papers), Ethics in Clinical Research (7 papers), Emergency and Acute Care Studies (7 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (7 papers) and Diaspora, migration, transnational identity (6 papers). The work is most often cited by research in Complementary and alternative medicine (415 citations), General Health Professions (1.2k citations), Applied Psychology (191 citations), Applied Microbiology and Biotechnology (70 citations) and Family Practice (59 citations). Alison Shaw has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Debbie Sharp, Matthew J Ridd, David Keßler, Chris Salisbury, Alice Malpass, Glyn Lewis, Katharine Charsley, Elizabeth Thompson, Gene Feder and Fiona M Walter. Their work appears in journals such as BMJ Open, Health & Social Care in the Community, Trials, British Journal of General Practice and BJOG An International Journal of Obstetrics & Gynaecology.

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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