Margarite J. Vale
- Cardiology and Cardiovascular Medicine top 5%
- General Health Professions top 5%
- Public Health, Environmental and Occupational Health top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Surgery
- Co-authors
- Michael JelinekJames D. BestAnthony M. DartDavid L. HareLeeanne GriggBetty HoJohn J. McNeilRobert W. Newman
- Topics
- Cardiac Health and Mental Health (8 papers)Primary Care and Health Outcomes (4 papers)Lipoproteins and Cardiovascular Health (4 papers)
- Cited by
- Family PracticeCardiology and Cardiovascular MedicineEndocrinology, Diabetes and Metabolism
- Journals
- Journal of Applied PhysiologyThe American Journal of MedicineThe Medical Journal of Australia
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Margarite J. Vale
15 papers receiving 697 citations
Peers
Comparison fields: 5 of 81
- Cardiology and Cardiovascular Medicine 303
- General Health Professions 204
- Public Health, Environmental and Occupational Health 152
- Endocrinology, Diabetes and Metabolism 141
- Surgery 120
Countries citing papers authored by Margarite J. Vale
This map shows the geographic impact of Margarite J. Vale'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 Margarite J. Vale with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Margarite J. Vale more than expected).
Fields of papers citing papers by Margarite J. Vale
This network shows the impact of papers produced by Margarite J. Vale. 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 Margarite J. Vale. The network helps show where Margarite J. Vale may publish in the future.
Co-authorship network of co-authors of Margarite J. Vale
This figure shows the co-authorship network connecting the top 25 collaborators of Margarite J. Vale. A scholar is included among the top collaborators of Margarite J. Vale 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 Margarite J. Vale. Margarite J. Vale 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 | 22 | |
| 3 | 45 | |
| 4 | 9 | |
| 5 | 8 | |
| 6 | 34 | |
| 7 | 1 | |
| 8 | 36 | |
| 9 | 117 | |
| 10 | 12 | |
| 11 | 19 | |
| 12 | 298 | |
| 13 | 54 | |
| 14 | Lipid Management Guidelines -2001 | 71 |
| 15 | 8 |
About Margarite J. Vale
Margarite J. Vale is a scholar working on Geriatrics and Gerontology, Family Practice and Cardiology and Cardiovascular Medicine, having authored 15 papers that have together received 744 indexed citations. Recurring topics across this work include Cardiac Health and Mental Health (8 papers), Primary Care and Health Outcomes (4 papers) and Lipoproteins and Cardiovascular Health (4 papers). The work is most often cited by research in Family Practice (32 citations), Cardiology and Cardiovascular Medicine (303 citations) and Endocrinology, Diabetes and Metabolism (141 citations). Margarite J. Vale has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Michael Jelinek, James D. Best, Anthony M. Dart, David L. Hare, Leeanne Grigg, Betty Ho, John J. McNeil, Robert W. Newman, Andrew Tonkin and Andrew Boyden. Their work appears in journals such as Journal of Applied Physiology, The American Journal of Medicine and The Medical Journal of Australia.
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.