Ken Sikaris

6.1k citations
113 papers · 4.5k indexed · 1 hit paper · h-index 34

Impact in

Papers in

Ken Sikaris

105 papers receiving 4.4k citations

Hit Papers

Defining analytical performance specifications: Consensus Statement from the 1st Strategic Conference of the European Federation of Clinical Chemistry and Laboratory Medicine 2015 · 382 citations
3822015202620182022100200300

Peers

Ken Sikaris
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
Replace Kjell Grankvist with:
Kjell Grankvist Sweden
Mauro Panteghini Italy
Kent Lewandrowski United States
Per Hyltoft Petersen Denmark
Ferruccio Ceriotti Italy
Graham Jones Australia
Mogens Hørder Denmark
Sverre Sandberg Norway
Vladimír Palička Czechia
W. Greg Miller United States
Ken Sikaris relative to Kjell Grankvist Sweden Kjell Grankvist's profile →
Citations per field
00.5×1.5×2.3×
Kjell Grankvist · 1×
Citations per year

Countries citing papers authored by Ken Sikaris

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Ken Sikaris Line = papers co-authored together Ken Sikaris links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20225
4 201916
5 201718
6 20172
7 201628
8 201627
9 2014117
10 201412
11 201336
12 201339
13 2011251
14 2011254
15
How should HbA(1c) be incorporated into the diagnostic pathway for diabetes mellitus
20101
16 201034
17 200829
18 20078
19 20041
20 200013

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.

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2026