Sue Pearson

44 papers receiving 1.8k citations

Peers

Sue Pearson
Comparison fields: 5 of 91
  • Geriatrics and Gerontology 112
  • Cardiology and Cardiovascular Medicine 446
  • Clinical Biochemistry 49
  • Emergency Medicine 53
  • Family Practice 15
Replace Deborah Ann Chyun with:
Deborah Ann Chyun United States
Ching‐Hui Loh Taiwan
James L. Wofford United States
Yajun Liang China
Wendy E. Weller United States
Yaacov Drory Israel
Min Zhao China
Linda P. Fried United States
Antoni Sicras‐Mainar Spain
Amy G. Huebschmann United States
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Citations per field
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Citations per year

Countries citing papers authored by Sue Pearson

Since Specialization
Citations

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

Fields of papers citing papers by Sue Pearson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998382
2 1999223
3 1999215
4 1998158
5 2006110
6 2010102
7 201286
8 200677
9 202071
10 200061
11 199949
12 200649
13 200739
14 201437
15 200534
16 200330
17 201827
18 200725
19 200524
20 201822

About Sue Pearson

Sue Pearson is a scholar working on Endocrinology, Diabetes and Metabolism, General Health Professions, Education, Cardiology and Cardiovascular Medicine and Social Psychology, having authored 47 papers that have together received 2.0k indexed citations. Recurring topics across this work include Collaborative Teaching and Inclusion (5 papers), Diabetic Foot Ulcer Assessment and Management (5 papers), Heart Failure Treatment and Management (4 papers), Bullying, Victimization, and Aggression (2 papers), Workplace Health and Well-being (1 paper), Sports injuries and prevention (1 paper), Trauma and Emergency Care Studies (1 paper) and Cerebrovascular and Carotid Artery Diseases (1 paper). The work is most often cited by research in Geriatrics and Gerontology (112 citations), Cardiology and Cardiovascular Medicine (446 citations), Clinical Biochemistry (49 citations), Emergency Medicine (53 citations) and Family Practice (15 citations). Sue Pearson has collaborated with scholars based in Australia, United Kingdom and New Zealand. Frequent co-authors include Simon Stewart, John David Horowitz, Guy John Maddern, Peter J. Hewett, Andrew Luck, Colin Luke, Robert Fitridge, Skye N. McLennan, Sally C Inglis and Alison Venn. Their work appears in journals such as Journal of Vascular Surgery, Journal of Foot and Ankle Research, Journal of Nursing Management, Child and Adolescent Mental Health and The Lancet.

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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