Alison Shaw

129 papers receiving 3.7k citations

Peers

Alison Shaw
Comparison fields: 5 of 173
  • Complementary and alternative medicine 371
  • Applied Microbiology and Biotechnology 60
  • Applied Psychology 137
  • General Health Professions 646
  • Health 152
Replace Fiona Stevenson with:
Fiona Stevenson United Kingdom
Thérèse Hesketh United Kingdom
Kevin Dew New Zealand
Jonathan Gabe United Kingdom
Deborah J. Bowen United States
Gavin Daker‐White United Kingdom
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Karen Willis Australia
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Citations per field
00.5×3.3×
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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 129 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008306
2 2009282
3 2009137
4 2005136
5 2001136
6
A Pakistani community in Britain
1988130
7 2007128
8 2002110
9 201185
10 200784
11 200783
12 200680
13 200671
14 201669
15 200865
16 200558
17 200656
18 201755
19 200854
20 200652

About Alison Shaw

Alison Shaw is a scholar working on General Health Professions, Sociology and Political Science, Complementary and alternative medicine, Psychiatry and Mental health and Clinical Psychology, having authored 129 papers that have together received 4.0k indexed citations. Recurring topics across this work include Complementary and Alternative Medicine Studies (16 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (7 papers), Patient-Provider Communication in Healthcare (6 papers), BRCA gene mutations in cancer (5 papers), Migration, Refugees, and Integration (5 papers), Migration and Labor Dynamics (5 papers), Chronic Disease Management Strategies (5 papers) and Diaspora, migration, transnational identity (5 papers). The work is most often cited by research in Complementary and alternative medicine (371 citations), Applied Microbiology and Biotechnology (60 citations), Applied Psychology (137 citations), General Health Professions (646 citations) and Health (152 citations). Alison Shaw has collaborated with scholars based in United Kingdom, Australia and Qatar. Frequent co-authors include Debbie Sharp, Matthew J Ridd, David Keßler, Katharine Charsley, Alice Malpass, Chris Salisbury, Glyn Lewis, Elizabeth Thompson, Gene Feder and Fiona M Walter. Their work appears in journals such as BMJ Open, British Journal of General Practice, Health & Social Care in the Community, Trials and Health Expectations.

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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