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.
Potential effect of population and climate changes on global distribution of dengue fever: an empirical model
2002721 citationsSimon Hales, Neil de Wet et al.The Lancetprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Neil de Wet'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 Neil de Wet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neil de Wet more than expected).
This network shows the impact of papers produced by Neil de Wet. 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 Neil de Wet. The network helps show where Neil de Wet may publish in the future.
Co-authorship network of co-authors of Neil de Wet
This figure shows the co-authorship network connecting the top 25 collaborators of Neil de Wet.
A scholar is included among the top collaborators of Neil de Wet 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 Neil de Wet. Neil de Wet is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
9 of 9 papers shown
1.
Patz, Jonathan A., et al.. (2006). Climate change and infectious diseases.98 indexed citations
2.
Wet, Neil de, David Slaney, Wei Ye, Simon Hales, & R. A. Warrick. (2005). Hotspots: Exotic mosquito risk profiles for New Zealand. Research Commons (University of Waikato).6 indexed citations
3.
Wet, Neil de, David Slaney, Wei Ye, Simon Hales, & R. A. Warrick. (2005). Hotspots: Modelling capacity for vector-borne disease risk analysis in New Zealand: A case study of Ochlerotatus camptorhynchus incursions in New Zealand. Research Commons (The University of Waikato).2 indexed citations
4.
Hay, John E., Nobuo Mimura, Jillian Campbell, et al.. (2003). Climate variability and change and sea-level rise in the Pacific Islands region: a resource book for policy decision-makers, educators and other stakeholders.21 indexed citations
5.
Hales, Simon & Neil de Wet. (2003). Dengue et réchauffement planétaire. Revue Française des Laboratoires. 2003(350). 18–18.1 indexed citations
6.
Hales, Simon, Neil de Wet, John H. Maindonald, & Alistair Woodward. (2002). Potential effect of population and climate changes on global distribution of dengue fever: an empirical model. The Lancet. 360(9336). 830–834.721 indexed citations breakdown →
Wet, Neil de, et al.. (2001). Use of a computer model to identify potential hotspots for dengue fever in New Zealand.. PubMed. 114(1140). 420–2.25 indexed citations
9.
Kenny, G. J., et al.. (2000). Climate change vulnerability and adaptation assessment for Fiji. Research Commons (University of Waikato).15 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.