Mark A. Dekeyser

28 total papers · 855 total citations
22 papers, 673 citations indexed

About

Mark A. Dekeyser is a scholar working on Insect Science, Ecology, Evolution, Behavior and Systematics and Organic Chemistry. According to data from OpenAlex, Mark A. Dekeyser has authored 22 papers receiving a total of 673 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Insect Science, 9 papers in Ecology, Evolution, Behavior and Systematics and 7 papers in Organic Chemistry. Recurrent topics in Mark A. Dekeyser's work include Insect and Pesticide Research (11 papers), Fungal Plant Pathogen Control (9 papers) and Insect-Plant Interactions and Control (8 papers). Mark A. Dekeyser is often cited by papers focused on Insect and Pesticide Research (11 papers), Fungal Plant Pathogen Control (9 papers) and Insect-Plant Interactions and Control (8 papers). Mark A. Dekeyser collaborates with scholars based in Canada, Japan and United States. Mark A. Dekeyser's co-authors include Changling Liu, Aiying Guan, Xiaoping Yang, Roger Downer, Paul T. McDonald, Makio Takeda, Masayuki Mizuno, Toshihiko Miyake, Richard A. Baines and Kazuhiko Matsuda and has published in prestigious journals such as Chemical Reviews, Journal of Agricultural and Food Chemistry and Journal of Neurochemistry.

In The Last Decade

Mark A. Dekeyser

22 papers receiving 631 citations

Author Peers

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

Author Last Decade Papers Cites
Mark A. Dekeyser 377 261 175 165 123 22 673
Thomas F. Pahutski 355 0.9× 249 1.0× 187 1.1× 143 0.9× 90 0.7× 13 612
Kenneth A. Hughes 511 1.4× 287 1.1× 340 1.9× 168 1.0× 142 1.2× 12 789
Brian J. Myers 326 0.9× 175 0.7× 287 1.6× 279 1.7× 65 0.5× 18 723
Alfred Rindlisbacher 530 1.4× 328 1.3× 185 1.1× 93 0.6× 140 1.1× 17 742
Ranfeng Sun 150 0.4× 248 1.0× 195 1.1× 244 1.5× 141 1.1× 33 647
Martin Jacobson 282 0.7× 276 1.1× 190 1.1× 104 0.6× 99 0.8× 13 737
Xiangdong Mei 297 0.8× 166 0.6× 135 0.8× 224 1.4× 115 0.9× 54 721
Joel K. Phillips 417 1.1× 389 1.5× 82 0.5× 67 0.4× 88 0.7× 17 611
Richard A. Slawecki 350 0.9× 235 0.9× 226 1.3× 86 0.5× 123 1.0× 9 660
Wolfgang Leicht 281 0.7× 158 0.6× 312 1.8× 31 0.2× 68 0.6× 14 708

Countries citing papers authored by Mark A. Dekeyser

Since Specialization
Citations

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

Fields of papers citing papers by Mark A. Dekeyser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark A. Dekeyser. 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 Mark A. Dekeyser. The network helps show where Mark A. Dekeyser may publish in the future.

Co-authorship network of co-authors of Mark A. Dekeyser

This figure shows the co-authorship network connecting the top 25 collaborators of Mark A. Dekeyser. A scholar is included among the top collaborators of Mark A. Dekeyser 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 Mark A. Dekeyser. Mark A. Dekeyser 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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