Graham Jones

6.6k total citations · 1 hit paper
151 papers, 4.1k citations indexed

About

Graham Jones is a scholar working on Physiology, Statistics, Probability and Uncertainty and Nephrology. According to data from OpenAlex, Graham Jones has authored 151 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Physiology, 37 papers in Statistics, Probability and Uncertainty and 33 papers in Nephrology. Recurrent topics in Graham Jones's work include Clinical Laboratory Practices and Quality Control (49 papers), Meta-analysis and systematic reviews (31 papers) and Statistical Methods in Clinical Trials (27 papers). Graham Jones is often cited by papers focused on Clinical Laboratory Practices and Quality Control (49 papers), Meta-analysis and systematic reviews (31 papers) and Statistical Methods in Clinical Trials (27 papers). Graham Jones collaborates with scholars based in Australia, United Kingdom and United States. Graham Jones's co-authors include Derrick J. Pounder, W. Greg Miller, Ken Sikaris, Sverre Sandberg, David W. Johnson, Timothy H. Mathew, Gary L. Horowitz, Cas Weykamp, Mauro Panteghini and Wytze P. Oosterhuis and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Graham Jones

145 papers receiving 3.9k citations

Hit Papers

Defining analytical performance specifications: Consensus... 2015 2026 2018 2022 2015 100 200 300

Peers

Graham Jones
W. Greg Miller United States
Ken Sikaris Australia
Callum G. Fraser United Kingdom
Robert Temple United States
Stephen B. Duffull New Zealand
W. Greg Miller United States
Graham Jones
Citations per year, relative to Graham Jones Graham Jones (= 1×) peers W. Greg Miller

Countries citing papers authored by Graham Jones

Since Specialization
Citations

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

Fields of papers citing papers by Graham Jones

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Graham Jones

This figure shows the co-authorship network connecting the top 25 collaborators of Graham Jones. A scholar is included among the top collaborators of Graham Jones 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 Graham Jones. Graham Jones 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.
Viste, Kristin, Christopher‐John L. Farrell, Ralf Kellmann, et al.. (2025). A Parametric Empirical Bayes Approach to Personalized Reference Intervals and Reference Change Values. Clinical Chemistry. 71(11). 1147–1157.
2.
Viste, Kristin, Ralf Kellmann, Bashir Alaour, et al.. (2024). Estimating Reference Change Values Using Routine Patient Data: A Novel Pathology Database Approach. Clinical Chemistry. 71(2). 307–318. 2 indexed citations
3.
Kempton, H., et al.. (2024). Macrotroponin in the COVID-19 Era: An Under-Recognised Cause of Persistent Troponin Elevation. Heart Lung and Circulation. 33(8). 1147–1150. 1 indexed citations
4.
Handelsman, David J., et al.. (2023). Evaluation of testosterone, estradiol and progesterone immunoassay calibrators by liquid chromatography mass spectrometry. Clinical Chemistry and Laboratory Medicine (CCLM). 61(9). 1612–1618. 3 indexed citations
5.
Haeckel, Rainer, Khosrow Adeli, Graham Jones, Ken Sikaris, & Werner Wosniok. (2022). Definitions and major prerequisites of direct and indirect approaches for estimating reference limits. Clinical Chemistry and Laboratory Medicine (CCLM). 61(3). 402–406. 5 indexed citations
6.
Reuter, Stephanie E., et al.. (2022). Review and evaluation of vancomycin dosing guidelines for obese individuals. Expert Opinion on Drug Metabolism & Toxicology. 18(5). 323–335. 2 indexed citations
7.
Jones, Graham, et al.. (2022). Mitigating analyte to stable isotope labelled internal standard cross-signal contribution in quantitative liquid chromatography-tandem mass spectrometry. SHILAP Revista de lepidopterología. 24. 57–64. 7 indexed citations
8.
Barr, Elizabeth, Federica Barzi, Jaquelyne T. Hughes, et al.. (2018). High Baseline Levels of Tumor Necrosis Factor Receptor 1 Are Associated With Progression of Kidney Disease in Indigenous Australians With Diabetes: The eGFR Follow-up Study. Diabetes Care. 41(4). 739–747. 30 indexed citations
9.
Dahm, Maria R., Andrew Georgiou, Robert Herkes, et al.. (2018). Patient groups, clinicians and healthcare professionals agree – all test results need to be seen, understood and followed up. Diagnosis. 5(4). 215–222. 9 indexed citations
10.
Miller, W. Greg & Graham Jones. (2018). Estimated Glomerular Filtration Rate; Laboratory Implementation and Current Global Status. Advances in Chronic Kidney Disease. 25(1). 7–13. 51 indexed citations
11.
Barr, Elizabeth, Federica Barzi, Jaquelyne T. Hughes, et al.. (2017). THE ROLE OF TUMOUR NECROSIS FACTOR RECEPTOR 1 (TNFR1) IN THE PROGRESSION OF KIDNEY DISEASE IN INDIGENOUS AUSTRALIANS: THE EGFR FOLLOW-UP STUDY. Nephrology. 22. 18–18. 2 indexed citations
12.
Barr, Elizabeth LM, Louise Maple‐Brown, Federica Barzi, et al.. (2016). Comparison of creatinine and cystatin C based eGFR in the estimation of glomerular filtration rate in Indigenous Australians: The eGFR Study. Clinical Biochemistry. 50(6). 301–308. 16 indexed citations
13.
Maple‐Brown, Louise, Jaquelyne T. Hughes, Rebecca Ritte, et al.. (2016). Progression of Kidney Disease in Indigenous Australians: The eGFR Follow-up Study. Clinical Journal of the American Society of Nephrology. 11(6). 993–1004. 26 indexed citations
14.
Jones, Graham & Craig M. Jackson. (2015). The Joint Committee for Traceability in Laboratory Medicine (JCTLM) – its history and operation. Clinica Chimica Acta. 453. 86–94. 35 indexed citations
15.
Koerbin, Gus, et al.. (2013). Evidence-based approach to harmonised reference intervals. Clinica Chimica Acta. 432. 99–107. 39 indexed citations
16.
Maple‐Brown, Louise, Jaquelyne T. Hughes, Paul Lawton, et al.. (2012). Accurate assessment of kidney function in Indigenous Australians: the Egfr Study. Nephrology. 17. 65–65. 2 indexed citations
17.
Norris, Ross, Jennifer Martin, John E. Ray, et al.. (2010). Current Status of Therapeutic Drug Monitoring in Australia and New Zealand: A Need for Improved Assay Evaluation, Best Practice Guidelines, and Professional Development. Therapeutic Drug Monitoring. 32(5). 615–623. 31 indexed citations
18.
Jones, Graham, et al.. (2003). The National Kidney Foundation Guideline on Estimation of the Glomerular Filtration Rate. PubMed Central. 24(3). 95–98. 28 indexed citations
19.
Johnson, Todd M., et al.. (1998). Learning to Write and Writing to Learn Probability. Australian primary mathematics classroom/Australian primary mathematics classroom (Online). 3(3). 11. 1 indexed citations
20.
Jones, Graham, et al.. (1993). EFFECTIVENESS OF HIGH-PERFORMANCE THIN SURFACINGS IN A WET-FREEZE ENVIRONMENT. Transportation Research Record Journal of the Transportation Research Board. 8 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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