Bryan Cleal

2.0k citations
78 papers · 1.3k · h-index 16

Impact in

Papers in

Bryan Cleal

71 papers receiving 1.2k citations

Peers

Bryan Cleal
Comparison fields: 5 of 134
  • Radiological and Ultrasound Technology 112
  • Endocrinology, Diabetes and Metabolism 274
  • Organizational Behavior and Human Resource Management 123
  • Communication 68
  • Applied Psychology 40
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Rosanna Cousins United Kingdom
Stephanie Adams United States
Şengül Cangür Türkiye
Wilco H. M. Emons Netherlands
Mario Hair United Kingdom
Sara McComb United States
Helen Altman Klein United States
Gloria Guidetti Italy
Anne Moen Norway
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Citations per field
00.5×6.2×
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Citations per year

Countries citing papers authored by Bryan Cleal

Since Specialization
Citations

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

Fields of papers citing papers by Bryan Cleal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016159
2 2004115
3 201098
4 201180
5 201274
6 201971
7 201156
8 200946
9 202142
10 201435
11 202233
12 201930
13 201825
14 201923
15 201421
16 202216
17 201215
18 200815
19 200813
20 201713

About Bryan Cleal

Bryan Cleal is a scholar working on Endocrinology, Diabetes and Metabolism, General Health Professions, Radiological and Ultrasound Technology, Clinical Psychology and Sociology and Political Science, having authored 78 papers that have together received 1.3k indexed citations. Recurring topics across this work include Diabetes Management and Research (20 papers), Diabetes Management and Education (10 papers), Workplace Health and Well-being (7 papers), Mobile Health and mHealth Applications (6 papers), Occupational Health and Safety Research (4 papers), Employment and Welfare Studies (3 papers), Chronic Disease Management Strategies (2 papers) and Diabetes and associated disorders (2 papers). The work is most often cited by research in Radiological and Ultrasound Technology (112 citations), Endocrinology, Diabetes and Metabolism (274 citations), Organizational Behavior and Human Resource Management (123 citations), Communication (68 citations) and Applied Psychology (40 citations). Bryan Cleal has collaborated with scholars based in Denmark, United Kingdom and Ireland. Frequent co-authors include Karina Nielsen, Ingrid Willaing, Gitte Reventlov Husted, Ayo Wahlberg, Annelise Mark Pejtersen, Raya Fidel, Harry Bruce, Lea Sell, Frank Guldenmund and Kathryn Mearns. Their work appears in journals such as Diabetic Medicine, Diabetes, Journal of Medical Internet Research, Qualitative Health Research and Social Science & Medicine.

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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