Liz Shaw

987 citations
38 papers · 579 · h-index 12

Impact in

Papers in

Liz Shaw

34 papers receiving 563 citations

Peers

Liz Shaw
Comparison fields: 5 of 101
  • Clinical Psychology 264
  • Speech and Hearing 43
  • Statistics, Probability and Uncertainty 40
  • Education 162
  • General Health Professions 126
Replace Lisa Maguire with:
Lisa Maguire United Kingdom
Beth G. Wildman United States
Jordan Sibéoni France
Julie A. Jacobs United States
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Citations per field
00.5×4.3×
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Citations per year

Countries citing papers authored by Liz Shaw

Since Specialization
Citations

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

Fields of papers citing papers by Liz Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018145
2 2019102
3 201952
4
Guidelines and literature review for psychologists working therapeutically with sexual and gender minority clients
201238
5 202136
6 201828
7 201918
8 202018
9 201818
10 202014
11 201912
12 201912
13 202011
14 20229
15 20238
16 20088
17
Quality assurance. A project on patient waiting times at appointment in an orthodontic department.
19916
18 20225
19 20215
20 20214

About Liz Shaw

Liz Shaw is a scholar working on General Health Professions, Clinical Psychology, Sociology and Political Science, Geriatrics and Gerontology and Statistics, Probability and Uncertainty, having authored 38 papers that have together received 579 indexed citations. Recurring topics across this work include Health Policy Implementation Science (6 papers), Meta-analysis and systematic reviews (5 papers), Pharmaceutical Practices and Patient Outcomes (3 papers), Mental Health and Patient Involvement (3 papers), Psychotherapy Techniques and Applications (3 papers), Delphi Technique in Research (3 papers), Clinical practice guidelines implementation (2 papers) and Evaluation and Performance Assessment (2 papers). The work is most often cited by research in Clinical Psychology (264 citations), Speech and Hearing (43 citations), Statistics, Probability and Uncertainty (40 citations), Education (162 citations) and General Health Professions (126 citations). Liz Shaw has collaborated with scholars based in United Kingdom, Malaysia and Finland. Frequent co-authors include Darren Moore, Tamsin Ford, Obioha C. Ukoumunne, Lauren Stentiford, Katie Finning, Michael Nunns, Jo Thompson Coon, Simon Briscoe, Rob Anderson and Morwenna Rogers. Their work appears in journals such as Research Synthesis Methods, Health Technology Assessment, Health Expectations, BMJ Open and Pediatric Allergy and Immunology.

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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