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.
Resprouting as a key functional trait: how buds, protection and resources drive persistence after fire
2012685 citationsByron B. Lamont, Neal J. Enright et al.profile →
Interval squeeze: altered fire regimes and demographic responses interact to threaten woody species persistence as climate changes
2015407 citationsNeal J. Enright, Joseph B. Fontaine et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Neal J. Enright
Since
Specialization
Citations
This map shows the geographic impact of Neal J. Enright'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 Neal J. Enright with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neal J. Enright more than expected).
This network shows the impact of papers produced by Neal J. Enright. 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 Neal J. Enright. The network helps show where Neal J. Enright may publish in the future.
Co-authorship network of co-authors of Neal J. Enright
This figure shows the co-authorship network connecting the top 25 collaborators of Neal J. Enright.
A scholar is included among the top collaborators of Neal J. Enright 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 Neal J. Enright. Neal J. Enright is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Perry, George L. W., et al.. (2010). Vegetation patterns and trajectories in disturbed landscapes, Great Barrier Island, northern New Zealand. New Zealand Journal of Ecology. 34(3). 311–323.25 indexed citations
4.
Enright, Neal J., Lesley S. Rigg, & Tanguy Jaffré. (2001). Environmental controls on species composition along a (maquis) shrubland to forest gradient on ultramafics at Mont Do, New Caledonia. South African Journal of Science. 97. 573–580.22 indexed citations
Enright, Neal J. & Robert S. Hill. (1995). Ecology of the southern conifers. Murdoch Research Repository (Murdoch University).445 indexed citations
7.
Enright, Neal J., et al.. (1995). The soil seed bank in Agathis australis(D. Don) Lindl. (kauri) forests of northern New Zealand. Murdoch Research Repository (Murdoch University).5 indexed citations
Cowling, R. M., Byron B. Lamont, & Neal J. Enright. (1990). Fire and management of south-western Australian banksias. Murdoch Research Repository (Murdoch University).34 indexed citations
15.
Enright, Neal J.. (1989). Heathland vegetation of the Spirits Bay area, far northern New Zealand. Murdoch Research Repository (Murdoch University).14 indexed citations
Enright, Neal J., et al.. (1985). Causes and predictions of outbreaks of Mus musculus in irrigated and non-irrigated cereal farms. Murdoch Research Repository (Murdoch University).24 indexed citations
20.
Enright, Neal J.. (1978). The effects of logging on the regeneration and nutrient budget of Araucaria cunninghamii dominated tropical rainforest in Papua New Guinea. Murdoch Research Repository (Murdoch University).10 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.