Ian Saunders

1.6k total citations
58 papers, 1.2k citations indexed

About

Ian Saunders is a scholar working on Molecular Biology, Mathematical Physics and Artificial Intelligence. According to data from OpenAlex, Ian Saunders has authored 58 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 8 papers in Mathematical Physics and 8 papers in Artificial Intelligence. Recurrent topics in Ian Saunders's work include Stochastic processes and statistical mechanics (8 papers), Bayesian Methods and Mixture Models (7 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (5 papers). Ian Saunders is often cited by papers focused on Stochastic processes and statistical mechanics (8 papers), Bayesian Methods and Mixture Models (7 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (5 papers). Ian Saunders collaborates with scholars based in Australia, United Kingdom and United States. Ian Saunders's co-authors include Sethu Vijayakumar, P. A. P. Moran, Peter A. Lane, Simon Tavaré, G. A. Watterson, Rosamund F. Langston, Emma R. Wood, Claire Wilson, J. Gani and Garry N. Hannan and has published in prestigious journals such as Journal of the American Statistical Association, Bioinformatics and Gastroenterology.

In The Last Decade

Ian Saunders

58 papers receiving 1.1k 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 Saunders Australia 17 205 199 155 144 136 58 1.2k
Joyce Shaffer United States 8 128 0.6× 129 0.6× 208 1.3× 23 0.2× 208 1.5× 10 1.6k
Thomas A. Ryan United States 19 144 0.7× 46 0.2× 186 1.2× 23 0.2× 180 1.3× 46 1.7k
G. A. Lienert Germany 14 175 0.9× 52 0.3× 99 0.6× 19 0.1× 107 0.8× 86 1.7k
R. A. Fisher United States 9 100 0.5× 108 0.5× 183 1.2× 22 0.2× 81 0.6× 11 1.2k
S. Stanley Young United States 7 107 0.5× 233 1.2× 581 3.7× 28 0.2× 411 3.0× 13 1.8k
Alan J. Klockars United States 15 58 0.3× 67 0.3× 124 0.8× 20 0.1× 176 1.3× 54 1.5k
Kathleen Kocherlakota Canada 9 91 0.4× 119 0.6× 112 0.7× 85 0.6× 398 2.9× 23 1.5k
T Postelnicu Romania 9 42 0.2× 135 0.7× 131 0.8× 29 0.2× 80 0.6× 25 1.6k
Russ Wolfinger United States 19 60 0.3× 416 2.1× 491 3.2× 235 1.6× 705 5.2× 40 3.1k
S. Stanley Young United States 18 47 0.2× 124 0.6× 439 2.8× 35 0.2× 425 3.1× 56 1.6k

Countries citing papers authored by Ian Saunders

Since Specialization
Citations

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

Fields of papers citing papers by Ian Saunders

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ian Saunders

This figure shows the co-authorship network connecting the top 25 collaborators of Ian Saunders. A scholar is included among the top collaborators of Ian Saunders 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 Saunders. Ian Saunders 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.
Clarke, Julie M., Alex Boussioutas, Trevor Lockett, et al.. (2023). Can butyrate prevent colon cancer? The AusFAP study: A randomised, crossover clinical trial. Contemporary Clinical Trials Communications. 32. 101092–101092. 10 indexed citations
2.
3.
Brindal, Emily, Jill Freyne, Ian Saunders, et al.. (2012). Features Predicting Weight Loss in Overweight or Obese Participants in a Web-Based Intervention: Randomized Trial. Journal of Medical Internet Research. 14(6). e173–e173. 82 indexed citations
4.
Saunders, Ian & Sethu Vijayakumar. (2012). Continuous Evolution of Statistical Estimators for Optimal Decision-Making. PLoS ONE. 7(6). e37547–e37547. 2 indexed citations
5.
Saunders, Ian, Jason P. Ross, Finlay Macrae, et al.. (2011). Evidence of linkage to chromosomes 10p15.3–p15.1, 14q24.3–q31.1 and 9q33.3–q34.3 in non-syndromic colorectal cancer families. European Journal of Human Genetics. 20(1). 91–96. 9 indexed citations
6.
Clarke, Julie M., David L. Topping, C. Christophersen, et al.. (2011). Butyrate esterified to starch is released in the human gastrointestinal tract. American Journal of Clinical Nutrition. 94(5). 1276–1283. 82 indexed citations
7.
Saunders, Ian, Finlay Macrae, Graeme P. Young, et al.. (2010). S1986 Evidence for a New Susceptibility Region on Chromosome 9 From a Genome-Wide Linkage Study in Non-Syndromic Colorectal Cancer Families. Gastroenterology. 138(5). S–295. 1 indexed citations
8.
Langston, Rosamund F., et al.. (2010). The role of hippocampal subregions in memory for stimulus associations. Behavioural Brain Research. 215(2). 275–291. 116 indexed citations
9.
Belobrajdic, Damien P., Briony E. Forbes, Allan Flyvbjerg, et al.. (2007). Assessing the potential usefulness of IGF-related peptides and adiponectin for predicting disease risk. Growth Hormone & IGF Research. 18(3). 198–204. 8 indexed citations
10.
Brooks, Stephen, Ian Saunders, & Neil A. Dodgson. (2007). Image compression using sparse colour sampling combined with nonlinear image processing. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6492. 64920F–64920F. 9 indexed citations
11.
Saunders, Ian, Jesper Brohede, & Garry N. Hannan. (2007). Estimating genotyping error rates from Mendelian errors in SNP array genotypes and their impact on inference. Genomics. 90(3). 291–296. 50 indexed citations
12.
Saunders, Ian. (2006). A measure of the performance of biomarkers for disease. Cancer Biomarkers. 2(3-4). 145–150. 3 indexed citations
13.
Anderssen, Robert, Yingru Wu, Rudy Dolferus, & Ian Saunders. (2004). An a posteriori strategy for enhancing gene discovery in anonymous cDNA microarray experiments. Bioinformatics. 20(11). 1721–1727. 3 indexed citations
14.
Saunders, Ian, et al.. (1997). Hospital leadership for quality:Theory and practice:II. Quality performance evaluation. Australian Health Review. 20(1). 108–121. 1 indexed citations
15.
Saunders, Ian, et al.. (1995). Effective hospital leadership for quality: theory and practice.. PubMed. 18(3). 91–110. 2 indexed citations
16.
Saunders, Ian & J. A. Eccleston. (1992). EXPERIMENTAL DESIGN FOR CONTINUOUS PROCESSES. Australian Journal of Statistics. 34(1). 77–89. 13 indexed citations
17.
Kendall, Wilfrid S. & Ian Saunders. (1983). Epidemics in Competition Ii: The General Epidemic. Journal of the Royal Statistical Society Series B (Statistical Methodology). 45(2). 238–244. 20 indexed citations
18.
Saunders, Ian & P. A. P. Moran. (1978). On the quantiles of the gamma and F distributions. Journal of Applied Probability. 15(2). 426–432. 55 indexed citations
19.
Saunders, Ian. (1978). Percentiles for the Gamma Distribution (R. A. Waller and M. S. Waterman). SIAM Review. 20(4). 856–856. 3 indexed citations
20.
Gani, J. & Ian Saunders. (1978). Nuclear aggregation: Modelling and simulation. Journal of Theoretical Biology. 72(1). 81–90. 4 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Joyce Shaffer Breakdown of academic impact, for papers by Thomas A. Ryan Breakdown of academic impact, for papers by G. A. Lienert Breakdown of academic impact, for papers by R. A. Fisher Breakdown of academic impact, for papers by S. Stanley Young Breakdown of academic impact, for papers by Alan J. Klockars Breakdown of academic impact, for papers by Kathleen Kocherlakota Breakdown of academic impact, for papers by T Postelnicu Breakdown of academic impact, for papers by Russ Wolfinger Breakdown of academic impact, for papers by S. Stanley Young
Rankless by CCL
2026