C. A. M. Paddison
- General Health Professions top 10%
- Endocrinology, Diabetes and Metabolism
- Economics and Econometrics top 10%
- Epidemiology
- Public Health, Environmental and Occupational Health
- Co-authors
- Georgios LyratzopoulosJohn CampbellMartín RolandJosephine BarbiereMarc ElliottLaura StaetskyFiona AlpassGary Abel
- Topics
- Diabetes Management and Education (5 papers)Chronic Disease Management Strategies (4 papers)Diabetes Management and Research (4 papers)
- Partner nations
- United KingdomNew ZealandUnited States
In The Last Decade
C. A. M. Paddison
7 papers receiving 278 citations
Peers
Comparison fields: 5 of 51
- General Health Professions 194
- Endocrinology, Diabetes and Metabolism 80
- Economics and Econometrics 71
- Epidemiology 56
- Public Health, Environmental and Occupational Health 27
Countries citing papers authored by C. A. M. Paddison
This map shows the geographic impact of C. A. M. Paddison'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 C. A. M. Paddison with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. A. M. Paddison more than expected).
Fields of papers citing papers by C. A. M. Paddison
This network shows the impact of papers produced by C. A. M. Paddison. 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 C. A. M. Paddison. The network helps show where C. A. M. Paddison may publish in the future.
Co-authorship network of co-authors of C. A. M. Paddison
This figure shows the co-authorship network connecting the top 25 collaborators of C. A. M. Paddison. A scholar is included among the top collaborators of C. A. M. Paddison based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with C. A. M. Paddison. C. A. M. Paddison is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 59 | |
| 2 | 138 | |
| 3 | Using the Common Sense Model of Illness Self-Regulation to Understand Diabetes-Related Distress: The Importance of Being Able to 'Make Sense' of Diabetes | 15 |
| 4 | 21 | |
| 5 | 23 | |
| 6 | 22 | |
| 7 | 12 |
About C. A. M. Paddison
C. A. M. Paddison is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology and General Health Professions, having authored 7 papers that have together received 290 indexed citations. Recurring topics across this work include Diabetes Management and Education (5 papers), Chronic Disease Management Strategies (4 papers) and Diabetes Management and Research (4 papers). The work is most often cited by research in General Health Professions (194 citations), Endocrinology, Diabetes and Metabolism (80 citations) and Pharmacy (13 citations). C. A. M. Paddison has collaborated with scholars based in United Kingdom, New Zealand and United States. Frequent co-authors include Georgios Lyratzopoulos, John Campbell, Martín Roland, Josephine Barbiere, Marc Elliott, Laura Staetsky, Fiona Alpass, Gary Abel, Michele Elliott and Ann Louise Kinmonth. Their work appears in journals such as The Annals of Family Medicine, BMJ Quality & Safety and British Journal of Health Psychology.
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.