Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Health benefits of herbs and spices: the past, the present, the future
2006717 citationsLinda C Tapsell, Craig S Patch et al.profile →
Countries citing papers authored by Peter Williams
Since
Specialization
Citations
This map shows the geographic impact of Peter Williams'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 Peter Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Williams more than expected).
This network shows the impact of papers produced by Peter Williams. 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 Peter Williams. The network helps show where Peter Williams may publish in the future.
Co-authorship network of co-authors of Peter Williams
This figure shows the co-authorship network connecting the top 25 collaborators of Peter Williams.
A scholar is included among the top collaborators of Peter Williams 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 Peter Williams. Peter Williams is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Maunder, Kirsty, Karen Walton, Peter Williams, M. Ferguson, & Eleanor J. Beck. (2018). eHealth readiness of dietitians. Journal of Human Nutrition and Dietetics. 31(4). 573–583.12 indexed citations
6.
Maunder, Kirsty, Karen Walton, Peter Williams, Maree Ferguson, & Eleanor J. Beck. (2018). A framework for eHealth readiness of dietitians. International Journal of Medical Informatics. 115. 43–52.13 indexed citations
7.
Maunder, Kirsty, et al.. (2014). 2013 Australian nutrition informatics survey. Research Online (University of Wollongong).2 indexed citations
Patch, Craig S, Linda C Tapsell, Peter Williams, & Michelle Gordon. (2006). Plant sterols as dietary adjuvants in the reduction of cardiovascular risk: theory and evidence. SHILAP Revista de lepidopterología.2 indexed citations
11.
Williams, Peter, et al.. (2006). Consumer reactions to different health claim formats on food labels. eCite Digital Repository (University of Tasmania).22 indexed citations
12.
Williams, Peter, et al.. (2006). Composition of Australian red meat 2002. 2. Fatty acid profile. Research Online (University of Wollongong). 58(7). 335–341.26 indexed citations
13.
Williams, Peter, et al.. (2006). Composition of Australian red meat 2002. 1. Gross composition. Research Online (University of Wollongong). 58(4). 173–181.3 indexed citations
14.
Williams, Peter. (2001). Aesthetic Arguments for the Existence of God. 3.1 indexed citations
15.
Moate, Peter J., et al.. (1996). The effect of feeding turnips on the concentration of thiocyanate in milk and consequences for cheese making.. Australian Journal of Dairy Technology. 51(1). 1–5.5 indexed citations
Michael, D. H. & Peter Williams. (1977). The equilibrium and stability of sessile drops. Proceedings of the Royal Society of London A Mathematical and Physical Sciences. 354(1676). 127–136.10 indexed citations
Stewartson, K. & Peter Williams. (1969). Self-induced separation. Proceedings of the Royal Society of London A Mathematical and Physical Sciences. 312(1509). 181–206.364 indexed citations breakdown →
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.