Shüné V. Oliver

46 total papers · 1.1k total citations
37 papers, 685 citations indexed

About

Shüné V. Oliver is a scholar working on Public Health, Environmental and Occupational Health, Plant Science and Insect Science. According to data from OpenAlex, Shüné V. Oliver has authored 37 papers receiving a total of 685 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Public Health, Environmental and Occupational Health, 19 papers in Plant Science and 10 papers in Insect Science. Recurrent topics in Shüné V. Oliver's work include Mosquito-borne diseases and control (26 papers), Malaria Research and Control (21 papers) and Insect Pest Control Strategies (19 papers). Shüné V. Oliver is often cited by papers focused on Mosquito-borne diseases and control (26 papers), Malaria Research and Control (21 papers) and Insect Pest Control Strategies (19 papers). Shüné V. Oliver collaborates with scholars based in South Africa, United Arab Emirates and United States. Shüné V. Oliver's co-authors include Basil D. Brooke, Maureen Coetzee, Richard H. Hunt, Michael O. Samuel, Katey D. Glunt, Krijn P. Paaijmans, Lizette L. Koekemoer, Oliver R. Wood, M Rowland and Joel Mouatcho and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Shüné V. Oliver

35 papers receiving 675 citations

Author Peers

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

Author Last Decade Papers Cites
Shüné V. Oliver 482 296 207 160 48 37 685
Leticia Barion Smith 438 0.9× 314 1.1× 356 1.7× 213 1.3× 34 0.7× 18 722
Emmanuel A. Temu 561 1.2× 328 1.1× 153 0.7× 148 0.9× 22 0.5× 22 762
Sunil Dhiman 519 1.1× 279 0.9× 144 0.7× 79 0.5× 24 0.5× 54 778
Ionizete Garcia da Silva 274 0.6× 334 1.1× 262 1.3× 129 0.8× 18 0.4× 46 653
Sreehari Uragayala 390 0.8× 356 1.2× 199 1.0× 151 0.9× 11 0.2× 31 579
Mehran Shahi 364 0.8× 268 0.9× 93 0.4× 123 0.8× 12 0.3× 37 695
K. P. Paily 212 0.4× 186 0.6× 281 1.4× 190 1.2× 59 1.2× 37 577
Hiroshige Akahane 104 0.2× 155 0.5× 226 1.1× 122 0.8× 23 0.5× 37 725
Pélagie Boko 526 1.1× 448 1.5× 138 0.7× 188 1.2× 12 0.3× 18 746
Onilda Santos da Silva 197 0.4× 203 0.7× 272 1.3× 120 0.8× 9 0.2× 46 589

Countries citing papers authored by Shüné V. Oliver

Since Specialization
Citations

This map shows the geographic impact of Shüné V. Oliver'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 Shüné V. Oliver with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shüné V. Oliver more than expected).

Fields of papers citing papers by Shüné V. Oliver

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shüné V. Oliver. 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 Shüné V. Oliver. The network helps show where Shüné V. Oliver may publish in the future.

Co-authorship network of co-authors of Shüné V. Oliver

This figure shows the co-authorship network connecting the top 25 collaborators of Shüné V. Oliver. A scholar is included among the top collaborators of Shüné V. Oliver 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 Shüné V. Oliver. Shüné V. Oliver 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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