John D. Brunzell
- Endocrinology, Diabetes and Metabolism top 0.05%
- Surgery top 0.5%
- Cardiology and Cardiovascular Medicine top 0.5%
- Physiology top 1%
- Molecular Biology top 5%
- Co-authors
- Jonathan Q. PurnellMolly C. CarrAlberto ZambonJohn E. HokansonAmir F. AyyobiRonald GoldbergEdwin L. BiermanMichael H. Davidson
- Topics
- Diabetes, Cardiovascular Risks, and Lipoproteins (86 papers)Lipid metabolism and disorders (55 papers)Lipoproteins and Cardiovascular Health (34 papers)
- Partner nations
- United StatesCanadaItaly
In The Last Decade
John D. Brunzell
146 papers receiving 10.9k citations
Hit Papers
Peers
Comparison fields: 5 of 156
- Endocrinology, Diabetes and Metabolism 6.2k
- Surgery 3.7k
- Cardiology and Cardiovascular Medicine 3.1k
- Physiology 2.0k
- Molecular Biology 1.7k
Countries citing papers authored by John D. Brunzell
This map shows the geographic impact of John D. Brunzell'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 John D. Brunzell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John D. Brunzell more than expected).
Fields of papers citing papers by John D. Brunzell
This network shows the impact of papers produced by John D. Brunzell. 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 John D. Brunzell. The network helps show where John D. Brunzell may publish in the future.
Co-authorship network of co-authors of John D. Brunzell
This figure shows the co-authorship network connecting the top 25 collaborators of John D. Brunzell. A scholar is included among the top collaborators of John D. Brunzell 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 John D. Brunzell. John D. Brunzell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 23 | |
| 2 | Genetic Disorders of Triglyceride Metabolism | 3 |
| 3 | 19 | |
| 4 | 65 | |
| 5 | 29 | |
| 6 | 192 | |
| 7 | 29 | |
| 8 | 409 | |
| 9 | 229 | |
| 10 | 121 | |
| 11 | 55 | |
| 12 | 20 | |
| 13 | 4 | |
| 14 | 20 | |
| 15 | 27 | |
| 16 | 363 | |
| 17 | Effect of intensive diabetes therapy on diabetic dyslipidemia | 3 |
| 18 | 47 | |
| 19 | 13 | |
| 20 | 417 |
About John D. Brunzell
John D. Brunzell is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Clinical Biochemistry, having authored 147 papers that have together received 11.5k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (86 papers), Lipid metabolism and disorders (55 papers) and Lipoproteins and Cardiovascular Health (34 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (6.2k citations), Cardiology and Cardiovascular Medicine (3.1k citations) and Surgery (3.7k citations). John D. Brunzell has collaborated with scholars based in United States, Canada and Italy. Frequent co-authors include Jonathan Q. Purnell, Molly C. Carr, Alberto Zambon, John E. Hokanson, Amir F. Ayyobi, Ronald Goldberg, Edwin L. Bierman, Michael H. Davidson, James H. Stein and Joseph L. Witztum. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and JAMA.
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.