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.
Cancer risk in 680 000 people exposed to computed tomography scans in childhood or adolescence: data linkage study of 11 million Australians
20131.4k citationsJohn D. Mathews, Anna Forsythe et al.profile →
Genetics of Asthma and Hay Fever in Australian Twins
1990355 citationsDavid L. Duffy, Nicholas G. Martin et al.profile →
Author Peers
Peers are selected by citation overlap in the author's most active subfields.
citations ·
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Countries citing papers authored by John D. Mathews
Since
Specialization
Citations
This map shows the geographic impact of John D. Mathews'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 John D. Mathews with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John D. Mathews more than expected).
This network shows the impact of papers produced by John D. Mathews. 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 John D. Mathews. The network helps show where John D. Mathews may publish in the future.
Co-authorship network of co-authors of John D. Mathews
This figure shows the co-authorship network connecting the top 25 collaborators of John D. Mathews.
A scholar is included among the top collaborators of John D. Mathews 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 John D. Mathews. John D. Mathews is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Hoy, Wendy E., Naama Karu, Simon J. Foote, et al.. (2012). Enquiry into genetic associations of renal and related chronic disease in Tiwi Aboriginal People. Nephrology. 17. 66–67.1 indexed citations
7.
McCaw, James M., et al.. (2011). Exploring alternate immune hypotheses in dynamical models of the 1918-1919 influenza pandemic. Influenza and Other Respiratory Viruses. 5.1 indexed citations
8.
Mathews, John D., et al.. (2011). Proof of principle for an immunological model to explain mortality variations over the three waves of the 1918-1919 pandemic. Influenza and Other Respiratory Viruses. 5.1 indexed citations
Hoy, Wendy E., et al.. (1997). Low birth weight and albuminuria in an Australian Aboriginal community with high rates of renal disease and renal failure.. Kidney International. 51(4). 1318–1318.8 indexed citations
Buynder, Paul Van, et al.. (1993). Renal disease patterns in aboriginal Australians. A family-based study in a high incidence community.. PubMed. 159(2). 82–7.26 indexed citations
15.
Mathews, John D., et al.. (1988). Bad Effects of Kava on the Body. Aboriginal health worker. 12(3). 10.1 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.