Andrew Kmetic
- Biochemistry top 2%
- Critical Care and Intensive Care Medicine top 2%
- Epidemiology
- Hematology top 10%
- Management of Technology and Innovation top 5%
- Co-authors
- Paul C. HébertDean FergussonElizabeth EsteyMorris A. BlajchmanMindy GoldmanNancy M. HeddleBaldwin ToyeGeorge A. Wells
- Topics
- Statistical Methods and Bayesian Inference (2 papers)Hyperglycemia and glycemic control in critically ill and hospitalized patients (2 papers)Blood transfusion and management (2 papers)
- Cited by
- BiochemistryCritical Care and Intensive Care MedicineManagement of Technology and Innovation
- Partner nations
- CanadaAustraliaUnited Kingdom
In The Last Decade
Andrew Kmetic
13 papers receiving 493 citations
Peers
Comparison fields: 5 of 84
- Biochemistry 255
- Critical Care and Intensive Care Medicine 156
- Epidemiology 77
- Hematology 77
- Management of Technology and Innovation 69
Countries citing papers authored by Andrew Kmetic
This map shows the geographic impact of Andrew Kmetic'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 Andrew Kmetic with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew Kmetic more than expected).
Fields of papers citing papers by Andrew Kmetic
This network shows the impact of papers produced by Andrew Kmetic. 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 Andrew Kmetic. The network helps show where Andrew Kmetic may publish in the future.
Co-authorship network of co-authors of Andrew Kmetic
This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Kmetic. A scholar is included among the top collaborators of Andrew Kmetic 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 Andrew Kmetic. Andrew Kmetic is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 6 | |
| 3 | 17 | |
| 4 | Health practitioners' perspectives on the barriers to diagnosis and treatment of diabetes in Aboriginal people on Vancouver Island. | 4 |
| 5 | Disparities in chronic disease among Canada's low-income populations. | 9 |
| 6 | Taking a life course perspective on cardiovascular disease and diabetes in First Nations peoples. | 6 |
| 7 | 26 | |
| 8 | Knowledge translation in the context of Aboriginal health. | 29 |
| 9 | 15 | |
| 10 | 22 | |
| 11 | 68 | |
| 12 | 254 | |
| 13 | 62 |
About Andrew Kmetic
Andrew Kmetic is a scholar working on Biochemistry, Statistics and Probability and Health, having authored 13 papers that have together received 521 indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (2 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (2 papers) and Blood transfusion and management (2 papers). The work is most often cited by research in Biochemistry (255 citations), Critical Care and Intensive Care Medicine (156 citations) and Management of Technology and Innovation (69 citations). Andrew Kmetic has collaborated with scholars based in Canada, Australia and United Kingdom. Frequent co-authors include Paul C. Hébert, Dean Fergusson, Elizabeth Estey, Morris A. Blajchman, Mindy Goldman, Nancy M. Heddle, Baldwin Toye, George A. Wells, Dana V. Devine and Graham D. Sher. Their work appears in journals such as JAMA, Statistics in Medicine and Epidemiology.
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.