Philip Batterham

10.1k total citations · 1 hit paper
110 papers, 5.4k citations indexed

About

Philip Batterham is a scholar working on Molecular Biology, Insect Science and Cellular and Molecular Neuroscience. According to data from OpenAlex, Philip Batterham has authored 110 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Molecular Biology, 64 papers in Insect Science and 20 papers in Cellular and Molecular Neuroscience. Recurrent topics in Philip Batterham's work include Insect Resistance and Genetics (60 papers), Insect and Pesticide Research (44 papers) and Insect-Plant Interactions and Control (23 papers). Philip Batterham is often cited by papers focused on Insect Resistance and Genetics (60 papers), Insect and Pesticide Research (44 papers) and Insect-Plant Interactions and Control (23 papers). Philip Batterham collaborates with scholars based in Australia, United States and United Kingdom. Philip Batterham's co-authors include Phillip J. Daborn, Trent Perry, John A. McKenzie, Henry Chung, Michael Bogwitz, Richard H. ffrench‐Constant, David G. Heckel, Charles Robin, Janet L. Yen and Tamar E. Sztal and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and PLoS ONE.

In The Last Decade

Philip Batterham

108 papers receiving 5.3k citations

Hit Papers

A Single P450 Allele Associated with Insecticide Resistan... 2002 2026 2010 2018 2002 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Philip Batterham Australia 42 3.3k 3.0k 1.6k 929 586 110 5.4k
Phillip J. Daborn Australia 31 2.7k 0.8× 2.6k 0.9× 1.3k 0.8× 703 0.8× 415 0.7× 44 4.3k
Richard D. Newcomb New Zealand 43 2.2k 0.7× 2.1k 0.7× 2.1k 1.3× 1.5k 1.6× 1.6k 2.8× 140 6.3k
Gōngyín Yè China 39 2.1k 0.6× 3.0k 1.0× 1.9k 1.2× 724 0.8× 506 0.9× 230 4.6k
Wannes Dermauw Belgium 43 3.8k 1.1× 5.1k 1.7× 2.4k 1.5× 349 0.4× 206 0.4× 94 6.7k
Wei Dou China 31 1.9k 0.6× 2.3k 0.8× 845 0.5× 519 0.6× 525 0.9× 205 3.4k
Makio Takeda Japan 34 1.3k 0.4× 1.4k 0.5× 755 0.5× 993 1.1× 1.5k 2.5× 211 4.2k
Qili Feng China 35 2.2k 0.7× 1.8k 0.6× 589 0.4× 781 0.8× 1.2k 2.0× 144 3.9k
Luc Swevers Greece 38 2.0k 0.6× 1.6k 0.5× 743 0.5× 598 0.6× 959 1.6× 135 3.5k
Sarjeet S. Gill United States 49 6.5k 2.0× 5.3k 1.8× 2.8k 1.7× 448 0.5× 828 1.4× 145 8.5k
Gaëlle Le Goff France 22 1.8k 0.6× 1.6k 0.5× 929 0.6× 380 0.4× 269 0.5× 37 2.9k

Countries citing papers authored by Philip Batterham

Since Specialization
Citations

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

Fields of papers citing papers by Philip Batterham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philip Batterham

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

All Works

20 of 20 papers shown
1.
Young, Neil D., Aaron R. Jex, Simon W. Baxter, et al.. (2025). Population structure, gene flow and genetic diversity of sheep blowfly (Lucilia cuprina dorsalis) in Australia. BMC Genomics. 26(1). 743–743.
3.
Martelli, Felipe & Philip Batterham. (2025). Agrochemicals: Insect declines in a warming world. Current Biology. 35(2). R66–R69. 1 indexed citations
5.
Perry, Trent, Felipe Martelli, Chris Lumb, et al.. (2021). Role of nicotinic acetylcholine receptor subunits in the mode of action of neonicotinoid, sulfoximine and spinosyn insecticides in Drosophila melanogaster. Insect Biochemistry and Molecular Biology. 131. 103547–103547. 49 indexed citations
6.
Traylor, Matthew J., Jong‐Min Baek, Wei‐Cheng Huang, et al.. (2017). Recombinant expression and characterization of Lucilia cuprina CYP6G3: Activity and binding properties toward multiple pesticides. Insect Biochemistry and Molecular Biology. 90. 14–22. 12 indexed citations
8.
Anstead, Clare A., Philip Batterham, Pasi K. Korhonen, et al.. (2016). A blow to the fly — Lucilia cuprina draft genome and transcriptome to support advances in biology and biotechnology. Biotechnology Advances. 34(5). 605–620. 21 indexed citations
9.
Sztal, Tamar E., Henry Chung, Silke Berger, et al.. (2012). A Cytochrome P450 Conserved in Insects Is Involved in Cuticle Formation. PLoS ONE. 7(5). e36544–e36544. 53 indexed citations
10.
Rose, Caroline J., Joanne R. Chapman, Sean D. G. Marshall, et al.. (2011). Selective Sweeps at the Organophosphorus Insecticide Resistance Locus, Rop-1, Have Affected Variation across and beyond the  -Esterase Gene Cluster in the Australian Sheep Blowfly, Lucilia cuprina. Molecular Biology and Evolution. 28(6). 1835–1846. 16 indexed citations
11.
Perry, Trent, Philip Batterham, & Phillip J. Daborn. (2011). The biology of insecticidal activity and resistance. Insect Biochemistry and Molecular Biology. 41(7). 411–422. 147 indexed citations
12.
Tay, Wee Tek, G. T. Behere, David G. Heckel, Siu Fai Lee, & Philip Batterham. (2008). Exon-primed intron-crossing (EPIC) PCR markers ofHelicoverpa armigera(Lepidoptera: Noctuidae). Bulletin of Entomological Research. 98(5). 509–518. 21 indexed citations
13.
Wouw, Angela P. Van de, Philip Batterham, & Phillip J. Daborn. (2006). The insect growth regulator insecticide cyromazine causes earlier emergence in Drosophila melanogaster. Archives of Insect Biochemistry and Physiology. 63(3). 101–109. 14 indexed citations
14.
Norgate, Melanie, Esther Lee, Adam Southon, et al.. (2005). Essential Roles in Development and Pigmentation for theDrosophilaCopper Transporter DmATP7. Molecular Biology of the Cell. 17(1). 475–484. 67 indexed citations
15.
Rako, Lea, et al.. (2004). Dissecting chill coma recovery as a measure of cold resistance: evidence for a biphasic response in Drosophila melanogaster. Journal of Insect Physiology. 50(8). 695–700. 63 indexed citations
16.
Daborn, Phillip J., Janet L. Yen, Michael Bogwitz, et al.. (2002). A Single P450 Allele Associated with Insecticide Resistance in Drosophila. Science. 297(5590). 2253–2256. 675 indexed citations breakdown →
17.
Batterham, Philip, et al.. (1996). Asymmetry – where evolutionary and developmental genetics meet. BioEssays. 18(10). 841–845. 35 indexed citations
18.
McKenzie, JA & Philip Batterham. (1995). INSECTICIDE RESISTANCE - REPLY. Trends in Ecology & Evolution. 10(4). 1 indexed citations
19.
McKenzie, John A. & Philip Batterham. (1994). The genetic, molecular and phenotypic consequences of selection for insecticide resistance. Trends in Ecology & Evolution. 9(5). 166–169. 154 indexed citations
20.
Davies, Andrew G., Philip Batterham, & J. A. McKenzie. (1992). Fatal association between dieldrin-resistant and susceptible Australian sheep blowflies,Lucilia cuprina. Proceedings of the Royal Society B Biological Sciences. 247(1319). 125–129. 4 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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