Aubrey Kagan
- Cardiology and Cardiovascular Medicine
- Physiology
- Public Health, Environmental and Occupational Health
- Complementary and alternative medicine top 10%
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- M. GardnerP. A. B. RaffleJ.N. MorrisNils H. SternbyGösta TibblinKazuo UemuraS KatsukiPhilip Ellman
- Topics
- Advanced Statistical Methods and Models (1 paper)Insurance, Mortality, Demography, Risk Management (1 paper)Infectious Diseases and Tuberculosis (1 paper)
- Journals
- The LancetSHILAP Revista de lepidopterologíaPublic Health
- Partner nations
- SwitzerlandUnited KingdomRussia
In The Last Decade
Aubrey Kagan
8 papers receiving 325 citations
Peers
Comparison fields: 5 of 85
- Cardiology and Cardiovascular Medicine 138
- Physiology 79
- Public Health, Environmental and Occupational Health 67
- Complementary and alternative medicine 53
- Radiology, Nuclear Medicine and Imaging 50
Countries citing papers authored by Aubrey Kagan
This map shows the geographic impact of Aubrey Kagan'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 Aubrey Kagan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aubrey Kagan more than expected).
Fields of papers citing papers by Aubrey Kagan
This network shows the impact of papers produced by Aubrey Kagan. 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 Aubrey Kagan. The network helps show where Aubrey Kagan may publish in the future.
Co-authorship network of co-authors of Aubrey Kagan
This figure shows the co-authorship network connecting the top 25 collaborators of Aubrey Kagan. A scholar is included among the top collaborators of Aubrey Kagan 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 Aubrey Kagan. Aubrey Kagan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 32 | |
| 5 | Reliability of death certificate data on vascular lesions affecting the central nervous system. | 17 |
| 6 | Signs in the fundus oculi and arterial hypertension: unconventional assessment and significance. | 31 |
| 7 | 299 | |
| 8 | Grading atherosclerosis in aorta and coronary arteries obtained at autopsy. WHO trials of macroscopic methods. | 7 |
| 9 | 14 | |
| 10 | 3 |
About Aubrey Kagan
Aubrey Kagan is a scholar working on Statistics and Probability, Complementary and alternative medicine and Ophthalmology, having authored 10 papers that have together received 405 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (1 paper), Insurance, Mortality, Demography, Risk Management (1 paper) and Infectious Diseases and Tuberculosis (1 paper). The work is most often cited by research in Complementary and alternative medicine (53 citations), Cardiology and Cardiovascular Medicine (138 citations) and Physiology (79 citations). Aubrey Kagan has collaborated with scholars based in Switzerland, United Kingdom and Russia. Frequent co-authors include M. Gardner, P. A. B. Raffle, J.N. Morris, Nils H. Sternby, Gösta Tibblin, Kazuo Uemura, S Katsuki and Philip Ellman. Their work appears in journals such as The Lancet, SHILAP Revista de lepidopterología and Public Health.
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.