David Cavan
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- Diabetes Management and Research 37
- Diabetes Management and Education 19
- Diabetes Treatment and Management 12
- Diabetes, Cardiovascular Risks, and Lipoproteins 8
- Hyperglycemia and glycemic control in critically ill and hospitalized patients 7
- Ophthalmology top 1%
- Pharmacy top 1%
- Family Practice top 5%
- Physiology top 2%
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- Diabetes and associated disorders 14
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- Pancreatic function and diabetes 7
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- T-cell and B-cell Immunology 6
- Co-authors
- Lydia MakaroffLeonor GuariguataUte LinnenkampKatherine OgurtsovaJonathan E. ShawJoão FernandesYadi HuangDavid Kerr
- Journals
- Diabetes Research and Clinical Practice (8 papers)Computer Methods and Programs in Biomedicine (7 papers)Human Immunology (5 papers)
- Partner nations
- United KingdomDenmarkBelgium
In The Last Decade
David Cavan
67 papers receiving 6.2k citations
Hit Papers
Peers
Comparison fields: 5 of 170
- Endocrinology, Diabetes and Metabolism 2.7k
- Ophthalmology 541
- Pharmacy 194
- Family Practice 81
- Physiology 884
Countries citing papers authored by David Cavan
This map shows the geographic impact of David Cavan'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 David Cavan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Cavan more than expected).
Fields of papers citing papers by David Cavan
This network shows the impact of papers produced by David Cavan. 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 David Cavan. The network helps show where David Cavan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David Cavan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 14 | |
| 2 | 2018 | 14 | |
| 3 | IDF Diabetes Atlas: Global estimates for the prevalence of diabetes for 2015 and 2040breakdown → | 2017 | 4215 |
| 4 | 2017 | 62 | |
| 5 | 2012 | 14 | |
| 6 | 2009 | 21 | |
| 7 | 2004 | 42 | |
| 8 | 2003 | 9 | |
| 9 | 2003 | 15 | |
| 10 | 2000 | 159 | |
| 11 | 1999 | 5 | |
| 12 | 1998 | 19 | |
| 13 | 1997 | 8 | |
| 14 | 1996 | 9 | |
| 15 | 1996 | 15 | |
| 16 | 1994 | 53 | |
| 17 | 1993 | 34 | |
| 18 | 1993 | 30 | |
| 19 | 1992 | 19 | |
| 20 | 1991 | 6 |
About David Cavan
David Cavan is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Immunology, having authored 68 papers that have together received 6.4k indexed citations. Recurring topics across this work include Diabetes Management and Research (37 papers), Diabetes Management and Education (19 papers), Diabetes and associated disorders (14 papers), Diabetes Treatment and Management (12 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (7 papers), Pancreatic function and diabetes (7 papers) and T-cell and B-cell Immunology (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.7k citations), Ophthalmology (541 citations) and Pharmacy (194 citations). David Cavan has collaborated with scholars based in United Kingdom, Denmark and Belgium. Frequent co-authors include Lydia Makaroff, Leonor Guariguata, Ute Linnenkamp, Katherine Ogurtsova, Jonathan E. Shaw, João Fernandes, Yadi Huang, David Kerr, Peter Thomas and Janet James. Their work appears in journals such as Diabetes Research and Clinical Practice, Computer Methods and Programs in Biomedicine, Human Immunology, Diabetic Medicine and International Journal of Medical Informatics.
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.