Neil de Wet

14 total papers · 1.6k total citations
9 papers, 908 citations indexed

About

Neil de Wet is a scholar working on Public Health, Environmental and Occupational Health, Infectious Diseases and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Neil de Wet has authored 9 papers receiving a total of 908 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Public Health, Environmental and Occupational Health, 3 papers in Infectious Diseases and 3 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Neil de Wet's work include Mosquito-borne diseases and control (4 papers), Viral Infections and Vectors (3 papers) and Climate Change and Health Impacts (2 papers). Neil de Wet is often cited by papers focused on Mosquito-borne diseases and control (4 papers), Viral Infections and Vectors (3 papers) and Climate Change and Health Impacts (2 papers). Neil de Wet collaborates with scholars based in New Zealand and Australia. Neil de Wet's co-authors include Simon Hales, Alistair Woodward, John H. Maindonald, John P. McCarty, Ulisses Confalonieri, Andrew K. Githeko, Jonathan A. Patz, Philip Weinstein, R. A. Warrick and Rishi Raj and has published in prestigious journals such as The Lancet, Environmental Health Perspectives and PubMed.

In The Last Decade

Neil de Wet

8 papers receiving 800 citations

Hit Papers

Potential effect of popul... 2002 2026 2010 2018 2002 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Neil de Wet 597 401 154 105 105 9 908
D. J. Gubler 515 0.9× 415 1.0× 110 0.7× 61 0.6× 45 0.4× 12 741
Cory W. Morin 806 1.4× 536 1.3× 124 0.8× 122 1.2× 207 2.0× 18 1.0k
Marissa K. Grossman 423 0.7× 255 0.6× 55 0.4× 75 0.7× 140 1.3× 16 821
Mary H. Hayden 740 1.2× 484 1.2× 53 0.3× 108 1.0× 152 1.4× 22 915
Wendy Yap 468 0.8× 421 1.0× 141 0.9× 39 0.4× 48 0.5× 3 743
Lucas Earl 669 1.1× 422 1.1× 46 0.3× 82 0.8× 89 0.8× 6 834
Suchithra Naish 448 0.8× 272 0.7× 99 0.6× 94 0.9× 151 1.4× 23 727
Nicole Davis Weaver 682 1.1× 418 1.0× 51 0.3× 82 0.8× 75 0.7× 8 853
Jing Liu-Helmersson 735 1.2× 456 1.1× 65 0.4× 67 0.6× 176 1.7× 17 847
Steven M. Presley 294 0.5× 286 0.7× 128 0.8× 77 0.7× 40 0.4× 49 816

Countries citing papers authored by Neil de Wet

Since Specialization
Citations

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).

Fields of papers citing papers by Neil de Wet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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.

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