Ken Sikaris
Impact in
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- Meta-analysis and systematic reviews
- Physiology top 1%
- Clinical Laboratory Practices and Quality Control
- Diet and metabolism studies
Papers in
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- Meta-analysis and systematic reviews 22
-
- Diabetes, Cardiovascular Risks, and Lipoproteins 9
- Hormonal and reproductive studies 7
- Co-authors
- Zhong X. LuGraham JonesDavid J. HandelsmanRobin M. DalyJonathan E. ShawPeter R. EbelingClaudia GagnonDavid W. Dunstan
- Journals
- Pathology (12 papers)Clinical Chemistry and Laboratory Medicine (CCLM) (12 papers)Annals of Clinical Biochemistry International Journal of Laboratory Medicine (7 papers)Clinical Chemistry (6 papers)Clinical Endocrinology (4 papers)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Ken Sikaris
105 papers receiving 4.4k citations
Hit Papers
Peers
Comparison fields: 5 of 165
- Statistics, Probability and Uncertainty 729
- Physiology 1.6k
- Endocrinology, Diabetes and Metabolism 983
- Pathology and Forensic Medicine 831
- Medical Laboratory Technology 49
Countries citing papers authored by Ken Sikaris
This map shows the geographic impact of Ken Sikaris'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 Ken Sikaris with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ken Sikaris more than expected).
Fields of papers citing papers by Ken Sikaris
This network shows the impact of papers produced by Ken Sikaris. 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 Ken Sikaris. The network helps show where Ken Sikaris may publish in the future.
Co-authors
The 25 scholars most cited alongside Ken Sikaris, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2022 | 5 | |
| 4 | 2019 | 16 | |
| 5 | 2017 | 18 | |
| 6 | 2017 | 2 | |
| 7 | 2016 | 28 | |
| 8 | 2016 | 27 | |
| 9 | 2014 | 117 | |
| 10 | 2014 | 12 | |
| 11 | 2013 | 36 | |
| 12 | 2013 | 39 | |
| 13 | 2011 | 251 | |
| 14 | 2011 | 254 | |
| 15 | How should HbA(1c) be incorporated into the diagnostic pathway for diabetes mellitus | 2010 | 1 |
| 16 | 2010 | 34 | |
| 17 | 2008 | 29 | |
| 18 | 2007 | 8 | |
| 19 | 2004 | 1 | |
| 20 | 2000 | 13 |
About Ken Sikaris
Ken Sikaris is a scholar working on Statistics, Probability and Uncertainty, Endocrinology, Diabetes and Metabolism, Physiology, Statistics and Probability and Family Practice, having authored 113 papers that have together received 4.5k indexed citations. Recurring topics across this work include Clinical Laboratory Practices and Quality Control (32 papers), Meta-analysis and systematic reviews (22 papers), Statistical Methods in Clinical Trials (9 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers), Biomedical Text Mining and Ontologies (8 papers), Vitamin D Research Studies (7 papers), Diet and metabolism studies (7 papers) and Hormonal and reproductive studies (7 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (729 citations), Physiology (1.6k citations), Endocrinology, Diabetes and Metabolism (983 citations), Pathology and Forensic Medicine (831 citations) and Medical Laboratory Technology (49 citations). Ken Sikaris has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Zhong X. Lu, Graham Jones, David J. Handelsman, Robin M. Daly, Jonathan E. Shaw, Peter R. Ebeling, Claudia Gagnon, David W. Dunstan, Paul Zimmet and Robert I. McLachlan. Their work appears in journals such as Pathology, Clinical Chemistry and Laboratory Medicine (CCLM), Annals of Clinical Biochemistry International Journal of Laboratory Medicine, Clinical Chemistry and Clinical Endocrinology.
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.