Sean L. Wu

62 total papers · 1.4k total citations
24 papers, 660 citations indexed

About

Sean L. Wu is a scholar working on Public Health, Environmental and Occupational Health, Modeling and Simulation and Infectious Diseases. According to data from OpenAlex, Sean L. Wu has authored 24 papers receiving a total of 660 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Public Health, Environmental and Occupational Health, 9 papers in Modeling and Simulation and 6 papers in Infectious Diseases. Recurrent topics in Sean L. Wu's work include COVID-19 epidemiological studies (9 papers), Mosquito-borne diseases and control (9 papers) and Malaria Research and Control (5 papers). Sean L. Wu is often cited by papers focused on COVID-19 epidemiological studies (9 papers), Mosquito-borne diseases and control (9 papers) and Malaria Research and Control (5 papers). Sean L. Wu collaborates with scholars based in United States, United Kingdom and Australia. Sean L. Wu's co-authors include Héctor M. Sánchez C., John M. Marshall, Omar S. Akbari, Nikolay P. Kandul, Junru Liu, Andrew Mertens, Anna Nguyen, Michelle S. Hsiang, John M. Colford and Alan Hubbard and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

In The Last Decade

Sean L. Wu

22 papers receiving 652 citations

Author Peers

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

Author Last Decade Papers Cites
Sean L. Wu 205 195 187 183 162 24 660
Ben Lambert 119 0.6× 179 0.9× 94 0.5× 32 0.2× 261 1.6× 55 705
Juhua Liang 237 1.2× 95 0.5× 38 0.2× 85 0.5× 394 2.4× 25 780
Mircea T. Sofonea 191 0.9× 265 1.4× 37 0.2× 20 0.1× 90 0.6× 36 587
Arran Hamlet 176 0.9× 334 1.7× 37 0.2× 33 0.2× 347 2.1× 29 576
René Niehus 121 0.6× 131 0.7× 258 1.4× 19 0.1× 37 0.2× 13 705
Gerry F. Killeen 66 0.3× 104 0.5× 58 0.3× 121 0.7× 575 3.5× 22 752
Anna Schultze 59 0.3× 235 1.2× 38 0.2× 130 0.7× 37 0.2× 42 667
Matteo Nioi 28 0.1× 60 0.3× 132 0.7× 156 0.9× 102 0.6× 37 630
Brian Green 178 0.9× 125 0.6× 131 0.7× 10 0.1× 45 0.3× 28 784
Gemma Nedjati‐Gilani 192 0.9× 278 1.4× 34 0.2× 76 0.4× 296 1.8× 14 666

Countries citing papers authored by Sean L. Wu

Since Specialization
Citations

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

Fields of papers citing papers by Sean L. Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sean L. Wu. 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 Sean L. Wu. The network helps show where Sean L. Wu may publish in the future.

Co-authorship network of co-authors of Sean L. Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Sean L. Wu. A scholar is included among the top collaborators of Sean L. Wu 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 Sean L. Wu. Sean L. Wu 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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