Sue Simpson

1.0k citations
32 papers · 590 · h-index 14

Impact in

Papers in

Sue Simpson

30 papers receiving 554 citations

Peers

Sue Simpson
Comparison fields: 5 of 126
  • Medical Laboratory Technology 20
  • Economics and Econometrics 194
  • Endocrinology, Diabetes and Metabolism 99
  • General Health Professions 109
  • Sensory Systems 20
Replace Marion Danner with:
Marion Danner Germany
Margaret Lippincott United States
Rick A. Vreman Netherlands
Akram Alyass Canada
Stephen Kay United Kingdom
Iñaki Gutiérrez‐Ibarluzea Spain
Alison Hall United Kingdom
Lueping Zhao United States
Lisa V. Hampson United Kingdom
Jan T. Lowery United States
Sue Simpson relative to Marion Danner Germany Marion Danner's profile →
Citations per field
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Marion Danner · 1×
Citations per year

Countries citing papers authored by Sue Simpson

Since Specialization
Citations

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

Fields of papers citing papers by Sue Simpson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sue Simpson, 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 Sue Simpson Line = papers co-authored together Sue Simpson 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 2015126
2 201550
3 200646
4
Health care in prisons: A health care needs assessment
200042
5 200339
6 200731
7 200127
8 200923
9 201222
10 201221
11 200819
12 201317
13 201514
14 201813
15 201212
16 200412
17 200512
18 201012
19 201610
20 20098

About Sue Simpson

Sue Simpson is a scholar working on Economics and Econometrics, General Health Professions, Public Health, Environmental and Occupational Health, Sociology and Political Science and Surgery, having authored 32 papers that have together received 590 indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (13 papers), Delphi Technique in Research (4 papers), Health Policy Implementation Science (3 papers), Healthcare cost, quality, practices (3 papers), Ethics in Clinical Research (3 papers), Global Health Care Issues (2 papers), Pharmaceutical industry and healthcare (2 papers) and Pharmaceutical Economics and Policy (2 papers). The work is most often cited by research in Medical Laboratory Technology (20 citations), Economics and Econometrics (194 citations), Endocrinology, Diabetes and Metabolism (99 citations), General Health Professions (109 citations) and Sensory Systems (20 citations). Sue Simpson has collaborated with scholars based in United Kingdom, Denmark and Norway. Frequent co-authors include Andrew Stevens, Claire Packer, Annette Wood, Tom Marshall, Derek Ward, Hindrik Vondeling, Michel Michaelides, Joanna Smith, Anthony T. Moore and Iñaki Gutiérrez‐Ibarluzea. Their work appears in journals such as International Journal of Technology Assessment in Health Care, BMJ Open, Journal of Public Health, International Journal of Audiology and Journal of Diabetes Science and Technology.

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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