Gerrit J. deBoer

614 total citations
9 papers, 475 citations indexed

About

Gerrit J. deBoer is a scholar working on Plant Science, Insect Science and Molecular Biology. According to data from OpenAlex, Gerrit J. deBoer has authored 9 papers receiving a total of 475 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Plant Science, 4 papers in Insect Science and 3 papers in Molecular Biology. Recurrent topics in Gerrit J. deBoer's work include Insect and Pesticide Research (4 papers), Weed Control and Herbicide Applications (3 papers) and Insect symbiosis and bacterial influences (2 papers). Gerrit J. deBoer is often cited by papers focused on Insect and Pesticide Research (4 papers), Weed Control and Herbicide Applications (3 papers) and Insect symbiosis and bacterial influences (2 papers). Gerrit J. deBoer collaborates with scholars based in United Kingdom and India. Gerrit J. deBoer's co-authors include Gerald B. Watson, Thomas C. Sparks, Michael R. Loso, Ben C. Gerwick, Vidyadhar Hegde, James D. Thomas, James M. Renga, Benjamin M. Nugent, Richard B. Rogers and Jonathan M. Babcock and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Pest Management Science and Journal of Chemical Ecology.

In The Last Decade

Gerrit J. deBoer

9 papers receiving 446 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Gerrit J. deBoer United Kingdom 7 222 172 139 131 81 9 475
Thomas F. Pahutski United States 11 363 1.6× 147 0.9× 249 1.8× 187 1.4× 90 1.1× 13 617
Aly A. Abd-Ella Egypt 14 231 1.0× 194 1.1× 184 1.3× 87 0.7× 105 1.3× 29 518
NI Jue-ping China 12 348 1.6× 93 0.5× 118 0.8× 91 0.7× 178 2.2× 17 509
Thomas Bretschneider Germany 6 164 0.7× 80 0.5× 107 0.8× 142 1.1× 34 0.4× 6 341
Kenneth A. Hughes United States 10 516 2.3× 173 1.0× 287 2.1× 341 2.6× 142 1.8× 12 798
J. Gary Hollingshaus United States 7 348 1.6× 100 0.6× 213 1.5× 229 1.7× 97 1.2× 9 555
Masachika HIRANO Japan 11 190 0.9× 100 0.6× 139 1.0× 107 0.8× 42 0.5× 34 381
Katharina Wölfel Germany 7 413 1.9× 57 0.3× 184 1.3× 267 2.0× 92 1.1× 7 559
Tetsuyoshi Nishimatsu Japan 6 363 1.6× 65 0.4× 196 1.4× 286 2.2× 68 0.8× 6 518
Shin-ichi TSUBOI Japan 10 202 0.9× 68 0.4× 73 0.5× 99 0.8× 53 0.7× 13 338

Countries citing papers authored by Gerrit J. deBoer

Since Specialization
Citations

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

Fields of papers citing papers by Gerrit J. deBoer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gerrit J. deBoer. 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 Gerrit J. deBoer. The network helps show where Gerrit J. deBoer may publish in the future.

Co-authorship network of co-authors of Gerrit J. deBoer

This figure shows the co-authorship network connecting the top 25 collaborators of Gerrit J. deBoer. A scholar is included among the top collaborators of Gerrit J. deBoer 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 Gerrit J. deBoer. Gerrit J. deBoer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Satchivi, Norbert M., et al.. (2017). Understanding the Differential Response of Setaria viridis L. (green foxtail) and Setaria pumila Poir. (yellow foxtail) to Pyroxsulam. Journal of Agricultural and Food Chemistry. 65(34). 7328–7336. 11 indexed citations
2.
Creemer, Lawrence C., et al.. (2016). Pro‐insecticidal approach towards increasing in planta activity. Pest Management Science. 73(4). 752–760. 1 indexed citations
3.
Bowling, Andrew J., et al.. (2014). Assessment of phloem mobility of xenobiotics in Triticum aestivum and Brachypodium distachyon. Functional Plant Biology. 41(6). 598–608. 1 indexed citations
4.
Gerwick, Ben C., William K. Brewster, Gerrit J. deBoer, et al.. (2013). Mevalocidin: A Novel, Phloem Mobile Phytotoxin from Fusarium DA056446 and Rosellinia DA092917. Journal of Chemical Ecology. 39(2). 253–261. 18 indexed citations
5.
Sparks, Thomas C., et al.. (2012). Differential metabolism of sulfoximine and neonicotinoid insecticides by Drosophila melanogaster monooxygenase CYP6G1. Pesticide Biochemistry and Physiology. 103(3). 159–165. 52 indexed citations
6.
deBoer, Gerrit J., et al.. (2010). The impact of uptake, translocation and metabolism on the differential selectivity between blackgrass and wheat for the herbicide pyroxsulam. Pest Management Science. 67(3). 279–286. 29 indexed citations
7.
Zhu, Yuanming, Michael R. Loso, Gerald B. Watson, et al.. (2010). Discovery and Characterization of Sulfoxaflor, a Novel Insecticide Targeting Sap-Feeding Pests. Journal of Agricultural and Food Chemistry. 59(7). 2950–2957. 324 indexed citations
8.
deBoer, Gerrit J., et al.. (2008). Systemic properties of myclobutanil in soybean plants, affecting control of Asian soybean rust (Phakopsora pachyrhizi). Pest Management Science. 64(12). 1285–1293. 17 indexed citations
9.
deBoer, Gerrit J., et al.. (2006). Uptake, translocation and metabolism of the herbicide florasulam in wheat and broadleaf weeds. Pest Management Science. 62(4). 316–324. 22 indexed citations

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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