Ian Farrance

610 total citations
20 papers, 452 citations indexed

About

Ian Farrance is a scholar working on Physiology, Statistics, Probability and Uncertainty and Surgery. According to data from OpenAlex, Ian Farrance has authored 20 papers receiving a total of 452 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Physiology, 7 papers in Statistics, Probability and Uncertainty and 5 papers in Surgery. Recurrent topics in Ian Farrance's work include Scientific Measurement and Uncertainty Evaluation (7 papers), Clinical Laboratory Practices and Quality Control (7 papers) and Hemodynamic Monitoring and Therapy (5 papers). Ian Farrance is often cited by papers focused on Scientific Measurement and Uncertainty Evaluation (7 papers), Clinical Laboratory Practices and Quality Control (7 papers) and Hemodynamic Monitoring and Therapy (5 papers). Ian Farrance collaborates with scholars based in Australia. Ian Farrance's co-authors include R. B. Frenkel, Tony Badrick, Graham White, Ken Sikaris, P.M. Dennis, Alan Clague, Alison Nankervis, Ronda F. Greaves, P R Pannall and P Garcia‐Webb and has published in prestigious journals such as Clinica Chimica Acta, The Medical Journal of Australia and Clinical Chemistry and Laboratory Medicine (CCLM).

In The Last Decade

Ian Farrance

18 papers receiving 431 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ian Farrance Australia 8 114 106 64 50 36 20 452
R. B. Frenkel Australia 11 68 0.6× 148 1.4× 43 0.7× 111 2.2× 29 0.8× 30 711
A. Zwart Netherlands 18 91 0.8× 49 0.5× 87 1.4× 189 3.8× 11 0.3× 45 936
P. L. Goldsmith United Kingdom 10 27 0.2× 149 1.4× 14 0.2× 33 0.7× 20 0.6× 23 617
Zhiyan Li China 16 43 0.4× 13 0.1× 57 0.9× 82 1.6× 3 0.1× 87 752
M. E. Wise Netherlands 14 37 0.3× 25 0.2× 73 1.1× 35 0.7× 11 0.3× 36 457
Fenglin Wang China 14 23 0.2× 12 0.1× 52 0.8× 94 1.9× 22 0.6× 60 868
Nobuo Kato Japan 15 23 0.2× 7 0.1× 65 1.0× 35 0.7× 22 0.6× 70 999
F. E. Wells United Kingdom 9 38 0.3× 9 0.1× 25 0.4× 12 0.2× 12 0.3× 27 632
Brian R. Jones United States 13 22 0.2× 7 0.1× 110 1.7× 35 0.7× 7 0.2× 34 480
Di Zhu China 14 29 0.3× 7 0.1× 17 0.3× 58 1.2× 7 0.2× 73 604

Countries citing papers authored by Ian Farrance

Since Specialization
Citations

This map shows the geographic impact of Ian Farrance'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 Ian Farrance with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ian Farrance more than expected).

Fields of papers citing papers by Ian Farrance

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ian Farrance. 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 Ian Farrance. The network helps show where Ian Farrance may publish in the future.

Co-authorship network of co-authors of Ian Farrance

This figure shows the co-authorship network connecting the top 25 collaborators of Ian Farrance. A scholar is included among the top collaborators of Ian Farrance 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 Ian Farrance. Ian Farrance is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Farrance, Ian & R. B. Frenkel. (2025). Measurement Uncertainty and the Prostate Health Index—A Review. The Journal of Applied Laboratory Medicine. 10(6). 1614–1621.
2.
Farrance, Ian, R. B. Frenkel, & Kay Weng Choy. (2023). Uncertainty in measurement and the renal tubular reabsorption of phosphate. Clinical Chemistry and Laboratory Medicine (CCLM). 61(12). 2178–2185. 1 indexed citations
3.
Farrance, Ian, R. B. Frenkel, & Tony Badrick. (2020). ISO/TS 20914:2019 – a critical commentary. Clinical Chemistry and Laboratory Medicine (CCLM). 58(8). 1182–1190. 7 indexed citations
5.
Frenkel, R. B. & Ian Farrance. (2018). Uncertainty in Measurement: Procedures for Determining Uncertainty With Application to Clinical Laboratory Calculations. Advances in clinical chemistry. 84. 125–207. 5 indexed citations
6.
Frenkel, R. B. & Ian Farrance. (2018). Uncertainty in Measurement: Procedures for Determining Uncertainty With Application to Clinical Laboratory Calculations. Advances in clinical chemistry. 85. 149–211. 8 indexed citations
7.
Farrance, Ian, Tony Badrick, & R. B. Frenkel. (2018). Uncertainty in measurement: A review of the procedures for determining uncertainty in measurement and its use in deriving the biological variation of the estimated glomerular filtration rate. Practical Laboratory Medicine. 12. e00097–e00097. 14 indexed citations
8.
Farrance, Ian, Tony Badrick, & R. B. Frenkel. (2018). Uncertainty in measurement and total error: different roads to the same quality destination?. Clinical Chemistry and Laboratory Medicine (CCLM). 56(12). 2010–2014. 11 indexed citations
9.
Frenkel, R. B. & Ian Farrance. (2017). A statistical procedure for the assessment of bias in analytical methods using conditional probabilities. Accreditation and Quality Assurance. 22(5). 265–273. 6 indexed citations
10.
Farrance, Ian, Tony Badrick, & Ken Sikaris. (2016). Uncertainty in measurement and total error – are they so incompatible?. Clinical Chemistry and Laboratory Medicine (CCLM). 54(8). 1309–11. 26 indexed citations
11.
Farrance, Ian, et al.. (2015). The application of glucose point of care testing in three metropolitan hospitals. Pathology. 48(1). 51–59. 3 indexed citations
12.
Farrance, Ian & R. B. Frenkel. (2014). Uncertainty in measurement: a review of monte carlo simulation using microsoft excel for the calculation of uncertainties through functional relationships, including uncertainties in empirically derived constants.. PubMed. 35(1). 37–61. 59 indexed citations
13.
Farrance, Ian & R. B. Frenkel. (2012). Uncertainty of Measurement: A Review of the Rules for Calculating Uncertainty Components through Functional Relationships.. PubMed. 33(2). 49–75. 216 indexed citations
14.
White, Graham, et al.. (2004). Uncertainty of measurement in quantitative medical testing: a laboratory implementation guide.. PubMed. 25(4). S1–24. 63 indexed citations
15.
Nankervis, Alison, Ian Farrance, & Alan Clague. (1993). Revised criteria for diagnosis of diabetes. The Medical Journal of Australia. 158(9). 566–567. 6 indexed citations
16.
Pannall, P R, P.M. Dennis, Ian Farrance, & P Garcia‐Webb. (1988). Guidelines for the training of medical graduates in clinical chemistry. Clinica Chimica Acta. 177(3). S13–S21. 5 indexed citations
17.
Beard, Trevor C. & Ian Farrance. (1987). Danger of overmedication with no‐added‐salt diets. The Medical Journal of Australia. 147(1). 46–47. 2 indexed citations
18.
Staley, Michael & Ian Farrance. (1978). Effect of membrane potential on dialysis of calcium in a continuous-flow system.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 24(12). 2103–7. 1 indexed citations
19.
Farrance, Ian, et al.. (1978). A Comparative Study of Commercial Human and Bovine Albumin Preparations. Annals of Clinical Biochemistry International Journal of Laboratory Medicine. 15(1-6). 31–36. 3 indexed citations
20.
Farrance, Ian, et al.. (1975). The determination of γ-glutamyl transpeptidase by reaction rate assay at 37°C. Pathology. 7(3). 237–243. 2 indexed citations

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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