Phillip J. Daborn
- Insect Science top 0.1%
- Insect and Pesticide Research 19
- Entomopathogenic Microorganisms in Pest Control 11
- Insect symbiosis and bacterial influences 9
- Insect-Plant Interactions and Control 9
- Molecular Biology top 2%
- Insect Resistance and Genetics 35
- CRISPR and Genetic Engineering 5
- Plant Science top 2%
- Insect Pest Control Strategies 6
- Aging top 5%
- Genetics top 5%
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- Neurobiology and Insect Physiology Research 8
- Co-authors
- Richard H. ffrench‐ConstantPhilip BatterhamGaëlle Le GoffNicholas R. WaterfieldHenry ChungMichael BogwitzTrent PerryJanet L. Yen
- Journals
- Insect Biochemistry and Molecular Biology (9 papers)Proceedings of the National Academy of Sciences (4 papers)Pest Management Science (3 papers)
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
Phillip J. Daborn
44 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Insect Science 2.6k
- Molecular Biology 2.7k
- Plant Science 1.3k
- Aging 48
- Genetics 703
Countries citing papers authored by Phillip J. Daborn
This map shows the geographic impact of Phillip J. Daborn'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 Phillip J. Daborn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Phillip J. Daborn more than expected).
Fields of papers citing papers by Phillip J. Daborn
This network shows the impact of papers produced by Phillip J. Daborn. 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 Phillip J. Daborn. The network helps show where Phillip J. Daborn may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Phillip J. Daborn, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 25 | |
| 2 | 2013 | 37 | |
| 3 | 2012 | 53 | |
| 4 | 2012 | 73 | |
| 5 | 2011 | 147 | |
| 6 | 2011 | 11 | |
| 7 | 2010 | 180 | |
| 8 | 2010 | 48 | |
| 9 | 2007 | 52 | |
| 10 | 2006 | 14 | |
| 11 | 2006 | 61 | |
| 12 | 2004 | 111 | |
| 13 | 2004 | 27 | |
| 14 | 2004 | 322 | |
| 15 | 2003 | 145 | |
| 16 | 2003 | 43 | |
| 17 | 2003 | 195 | |
| 18 | A Single P450 Allele Associated with Insecticide Resistance in Drosophilabreakdown → | 2002 | 675 |
| 19 | 2002 | 58 | |
| 20 | 2002 | 113 |
About Phillip J. Daborn
Phillip J. Daborn is a scholar working on Insect Science, Molecular Biology and Cellular and Molecular Neuroscience, having authored 44 papers that have together received 4.3k indexed citations. Recurring topics across this work include Insect Resistance and Genetics (35 papers), Insect and Pesticide Research (19 papers), Entomopathogenic Microorganisms in Pest Control (11 papers), Insect symbiosis and bacterial influences (9 papers), Insect-Plant Interactions and Control (9 papers), Neurobiology and Insect Physiology Research (8 papers), Insect Pest Control Strategies (6 papers) and CRISPR and Genetic Engineering (5 papers). The work is most often cited by research in Insect Science (2.6k citations), Molecular Biology (2.7k citations) and Plant Science (1.3k citations). Phillip J. Daborn has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Richard H. ffrench‐Constant, Philip Batterham, Gaëlle Le Goff, Nicholas R. Waterfield, Henry Chung, Michael Bogwitz, Trent Perry, Janet L. Yen, Christopher Lumb and Charles Robin. Their work appears in journals such as Insect Biochemistry and Molecular Biology, Proceedings of the National Academy of Sciences, Pest Management Science, PLoS ONE and G3 Genes Genomes Genetics.
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.