Katherine Beadle

605 total citations · 1 hit paper
7 papers, 446 citations indexed

About

Katherine Beadle is a scholar working on Insect Science, Ecology, Evolution, Behavior and Systematics and Molecular Biology. According to data from OpenAlex, Katherine Beadle has authored 7 papers receiving a total of 446 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Insect Science, 3 papers in Ecology, Evolution, Behavior and Systematics and 2 papers in Molecular Biology. Recurrent topics in Katherine Beadle's work include Insect-Plant Interactions and Control (6 papers), Insect and Pesticide Research (6 papers) and Plant and animal studies (3 papers). Katherine Beadle is often cited by papers focused on Insect-Plant Interactions and Control (6 papers), Insect and Pesticide Research (6 papers) and Plant and animal studies (3 papers). Katherine Beadle collaborates with scholars based in Germany, United Kingdom and United States. Katherine Beadle's co-authors include Chris Bass, Ralf Nauen, Marion Zaworra, Kumar Saurabh Singh, Bartlomiej J. Troczka, Rebecca J. Reid, T. G. E. Davies, Martin S. Williamson, L. M. Field and Maxie Kohler and has published in prestigious journals such as Current Biology, PLoS Genetics and Insect Biochemistry and Molecular Biology.

In The Last Decade

Katherine Beadle

7 papers receiving 443 citations

Hit Papers

Unravelling the Molecular Determinants of Bee Sensitivity... 2018 2026 2020 2023 2018 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Katherine Beadle Germany 6 419 281 224 87 64 7 446
Marion Zaworra Germany 7 480 1.1× 326 1.2× 263 1.2× 85 1.0× 72 1.1× 8 516
Angela Hayward United Kingdom 9 253 0.6× 155 0.6× 104 0.5× 90 1.0× 52 0.8× 13 289
Dolors Bosch Spain 13 314 0.7× 47 0.2× 34 0.2× 173 2.0× 103 1.6× 27 381
Hasan Sungur Civelek Türkiye 10 233 0.6× 143 0.5× 34 0.2× 23 0.3× 125 2.0× 54 315
Zheng‐Xi Li China 12 363 0.9× 76 0.3× 35 0.2× 135 1.6× 101 1.6× 42 439
E. L. Atkins United States 11 301 0.7× 223 0.8× 165 0.7× 16 0.2× 73 1.1× 21 332
D. M. Burgett United States 10 221 0.5× 307 1.1× 175 0.8× 143 1.6× 80 1.3× 24 408
Chengyu Chen China 11 324 0.8× 27 0.1× 23 0.1× 251 2.9× 210 3.3× 24 401
Delia M. Pinto‐Zevallos Brazil 11 186 0.4× 74 0.3× 14 0.1× 42 0.5× 223 3.5× 23 307
I. Billy Annan United States 9 368 0.9× 52 0.2× 12 0.1× 131 1.5× 277 4.3× 17 447

Countries citing papers authored by Katherine Beadle

Since Specialization
Citations

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

Fields of papers citing papers by Katherine Beadle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Katherine Beadle. 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 Katherine Beadle. The network helps show where Katherine Beadle may publish in the future.

Co-authorship network of co-authors of Katherine Beadle

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

All Works

7 of 7 papers shown
1.
Hayward, Angela, Bartlomiej J. Troczka, Adam Pym, et al.. (2023). A cytochrome P450 insecticide detoxification mechanism is not conserved across the Megachilidae family of bees. Evolutionary Applications. 17(1). e13625–e13625. 8 indexed citations
2.
Troczka, Bartlomiej J., Rafael A. Homem, Ana Duarte, et al.. (2020). Fly-Tox: A panel of transgenic flies expressing pest and pollinator cytochrome P450s. Pesticide Biochemistry and Physiology. 169. 104674–104674. 19 indexed citations
3.
Troczka, Bartlomiej J., Rafael A. Homem, Rebecca J. Reid, et al.. (2019). Identification and functional characterisation of a novel N-cyanoamidine neonicotinoid metabolising cytochrome P450, CYP9Q6, from the buff-tailed bumblebee Bombus terrestris. Insect Biochemistry and Molecular Biology. 111. 103171–103171. 38 indexed citations
4.
Hayward, Angela, Katherine Beadle, Kumar Saurabh Singh, et al.. (2019). The leafcutter bee, Megachile rotundata, is more sensitive to N-cyanoamidine neonicotinoid and butenolide insecticides than other managed bees. Nature Ecology & Evolution. 3(11). 1521–1524. 60 indexed citations
5.
Beadle, Katherine, Kumar Saurabh Singh, Bartlomiej J. Troczka, et al.. (2019). Genomic insights into neonicotinoid sensitivity in the solitary bee Osmia bicornis. PLoS Genetics. 15(2). e1007903–e1007903. 73 indexed citations
6.
Manjón, Cristina, Bartlomiej J. Troczka, Marion Zaworra, et al.. (2018). Unravelling the Molecular Determinants of Bee Sensitivity to Neonicotinoid Insecticides. Current Biology. 28(7). 1137–1143.e5. 246 indexed citations breakdown →
7.
Singh, Kumar Saurabh, Bartlomiej J. Troczka, Katherine Beadle, et al.. (2018). Extension of Partial Gene Transcripts by Iterative Mapping of RNA-Seq Raw Reads. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 16(3). 1036–1041. 2 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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