Matthew S. Siderhurst

57 total papers · 608 total citations
44 papers, 456 citations indexed

About

Matthew S. Siderhurst is a scholar working on Insect Science, Ecology, Evolution, Behavior and Systematics and Genetics. According to data from OpenAlex, Matthew S. Siderhurst has authored 44 papers receiving a total of 456 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Insect Science, 17 papers in Ecology, Evolution, Behavior and Systematics and 14 papers in Genetics. Recurrent topics in Matthew S. Siderhurst's work include Insect behavior and control techniques (18 papers), Plant and animal studies (15 papers) and Insect and Pesticide Research (14 papers). Matthew S. Siderhurst is often cited by papers focused on Insect behavior and control techniques (18 papers), Plant and animal studies (15 papers) and Insect and Pesticide Research (14 papers). Matthew S. Siderhurst collaborates with scholars based in United States, Australia and Guam. Matthew S. Siderhurst's co-authors include Eric B. Jang, Marisa M. Wall, Nicholas C. Manoukis, Kate A. Nishijima, Phillip W. Taylor, Soo J. Park, Ian M. Jamie, L. B. Bjostad, Lori Carvalho and David M. James and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Matthew S. Siderhurst

40 papers receiving 437 citations

Author Peers

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

Author Last Decade Papers Cites
Matthew S. Siderhurst 309 175 92 68 66 44 456
Pengfei Lu 287 0.9× 94 0.5× 104 1.1× 43 0.6× 106 1.6× 38 411
B. A. Butt 336 1.1× 152 0.9× 124 1.3× 50 0.7× 49 0.7× 42 411
Tetsuo Saito 328 1.1× 204 1.2× 81 0.9× 40 0.6× 62 0.9× 30 548
Esther R. Metcalf 401 1.3× 236 1.3× 133 1.4× 113 1.7× 48 0.7× 13 516
Maciej A. Pszczółkowski 259 0.8× 93 0.5× 93 1.0× 54 0.8× 117 1.8× 46 481
A. S. Tahori 289 0.9× 197 1.1× 115 1.3× 33 0.5× 54 0.8× 41 498
Zhiwei Kang 361 1.2× 195 1.1× 71 0.8× 57 0.8× 83 1.3× 37 519
David M. Withall 138 0.4× 125 0.7× 43 0.5× 23 0.3× 33 0.5× 27 417
Atsushi Honma 106 0.3× 59 0.3× 183 2.0× 47 0.7× 75 1.1× 37 414
Chang Yeol Yang 309 1.0× 171 1.0× 132 1.4× 52 0.8× 98 1.5× 57 485

Countries citing papers authored by Matthew S. Siderhurst

Since Specialization
Citations

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

Fields of papers citing papers by Matthew S. Siderhurst

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew S. Siderhurst. 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 Matthew S. Siderhurst. The network helps show where Matthew S. Siderhurst may publish in the future.

Co-authorship network of co-authors of Matthew S. Siderhurst

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew S. Siderhurst. A scholar is included among the top collaborators of Matthew S. Siderhurst 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 Matthew S. Siderhurst. Matthew S. Siderhurst 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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