G. D. Braatvedt
- Cardiology and Cardiovascular Medicine
- Endocrinology, Diabetes and Metabolism top 10%
- Genetics
- Surgery
- Physiology
- Co-authors
- Warwick BaggNorman SharpeGillian WhalleyGreg GambleP. L. DruryRobert N. DoughtyStefan AgewallTim Cundy
- Topics
- Diabetes Management and Research (5 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers)Cardiovascular Function and Risk Factors (3 papers)
- Partner nations
- New ZealandSwedenQatar
In The Last Decade
G. D. Braatvedt
15 papers receiving 273 citations
Peers
Comparison fields: 5 of 63
- Cardiology and Cardiovascular Medicine 118
- Endocrinology, Diabetes and Metabolism 110
- Genetics 65
- Surgery 47
- Physiology 32
Countries citing papers authored by G. D. Braatvedt
This map shows the geographic impact of G. D. Braatvedt'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 G. D. Braatvedt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. D. Braatvedt more than expected).
Fields of papers citing papers by G. D. Braatvedt
This network shows the impact of papers produced by G. D. Braatvedt. 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 G. D. Braatvedt. The network helps show where G. D. Braatvedt may publish in the future.
Co-authorship network of co-authors of G. D. Braatvedt
This figure shows the co-authorship network connecting the top 25 collaborators of G. D. Braatvedt. A scholar is included among the top collaborators of G. D. Braatvedt 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 G. D. Braatvedt. G. D. Braatvedt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 9 | |
| 3 | Understanding the new HbA1c units for the diagnosis of Type 2 diabetes. | 36 |
| 4 | 1 | |
| 5 | Screening for type 2 diabetes in non-pregnant adults in New Zealand: practice recommendations. | 7 |
| 6 | 34 | |
| 7 | 55 | |
| 8 | 10 | |
| 9 | 10 | |
| 10 | 28 | |
| 11 | 20 | |
| 12 | 23 | |
| 13 | 25 | |
| 14 | Assessing glycaemic control in diabetes: relationships between fructosamine and HbA1C. | 14 |
| 15 | A cross-sectional study of diabetes in Mt Eden Prison, Auckland. | 3 |
About G. D. Braatvedt
G. D. Braatvedt is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Pharmacy, having authored 15 papers that have together received 285 indexed citations. Recurring topics across this work include Diabetes Management and Research (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers) and Cardiovascular Function and Risk Factors (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (110 citations), Cardiology and Cardiovascular Medicine (118 citations) and Genetics (65 citations). G. D. Braatvedt has collaborated with scholars based in New Zealand, Sweden and Qatar. Frequent co-authors include Warwick Bagg, Norman Sharpe, Gillian Whalley, Greg Gamble, P. L. Drury, Robert N. Doughty, Stefan Agewall, Tim Cundy, G. W. Harris and F. M. Stewart. Their work appears in journals such as Clinical Endocrinology, Diabetic Medicine and Clinical Oncology.
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.