George A. Tallis
- Surgery
- Endocrinology, Diabetes and Metabolism top 5%
- Molecular Biology
- Economics and Econometrics top 10%
- Epidemiology
- Co-authors
- Jere P. SegrestB H ChungDavid DunbabinRaymond A. LeeG.M. AnantharamaiahMark ShephardWilton BraundGrigori Y. Rychkov
- Topics
- Lipoproteins and Cardiovascular Health (8 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers)Metabolomics and Mass Spectrometry Studies (2 papers)
- Partner nations
- AustraliaThailandUnited States
In The Last Decade
George A. Tallis
20 papers receiving 571 citations
Peers
Comparison fields: 5 of 93
- Surgery 276
- Endocrinology, Diabetes and Metabolism 224
- Molecular Biology 99
- Economics and Econometrics 79
- Epidemiology 59
Countries citing papers authored by George A. Tallis
This map shows the geographic impact of George A. Tallis'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 George A. Tallis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites George A. Tallis more than expected).
Fields of papers citing papers by George A. Tallis
This network shows the impact of papers produced by George A. Tallis. 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 George A. Tallis. The network helps show where George A. Tallis may publish in the future.
Co-authorship network of co-authors of George A. Tallis
This figure shows the co-authorship network connecting the top 25 collaborators of George A. Tallis. A scholar is included among the top collaborators of George A. Tallis 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 George A. Tallis. George A. Tallis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 37 | |
| 2 | 76 | |
| 3 | Assessment of the point-of-care Cholestech Lipid Analyser for lipid screening in Aboriginal communities | 4 |
| 4 | Relationships between homocysteine and related amino acids in chronic hemodialysis patients. | 6 |
| 5 | A multicenter double-blind, one-year study comparing safety and efficacy of atorvastatin versus simvastatin in patients with hypercholesteremia | 1 |
| 6 | 156 | |
| 7 | 22 | |
| 8 | 11 | |
| 9 | 35 | |
| 10 | 2 | |
| 11 | 45 | |
| 12 | 89 | |
| 13 | 12 | |
| 14 | 1 | |
| 15 | 11 | |
| 16 | 77 | |
| 17 | 8 | |
| 18 | 1 | |
| 19 | 5 | |
| 20 | 3 |
About George A. Tallis
George A. Tallis is a scholar working on Endocrinology, Diabetes and Metabolism, Health, Toxicology and Mutagenesis and Sensory Systems, having authored 20 papers that have together received 602 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (8 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (224 citations), Surgery (276 citations) and Complementary and alternative medicine (46 citations). George A. Tallis has collaborated with scholars based in Australia, Thailand and United States. Frequent co-authors include Jere P. Segrest, B H Chung, David Dunbabin, Raymond A. Lee, G.M. Anantharamaiah, Mark Shephard, Wilton Braund, Grigori Y. Rychkov, Claire H. Wilson and Greg J. Barritt. Their work appears in journals such as Diabetes Care, Biochemical Journal and The American Journal of Cardiology.
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.