Phillip J. Daborn

5.6k citations
44 papers · 4.3k indexed · 1 hit paper · h-index 31
Topics
Insect Resistance and Genetics (35 papers)Insect and Pesticide Research (19 papers)Entomopathogenic Microorganisms in Pest Control (11 papers)

In The Last Decade

Phillip J. Daborn

44 papers receiving 4.2k citations

Hit Papers

A Single P450 Allele Associated with Insecticide Resistan...20022026201020182002200400600

Peers

Phillip J. Daborn
Comparison fields: 5 of 94
  • Molecular Biology 2.7k
  • Insect Science 2.6k
  • Plant Science 1.3k
  • Genetics 703
  • Cellular and Molecular Neuroscience 415
Replace Philip Batterham with:
Philip Batterham Australia
Gōngyín Yè China
Denise Valle Brazil
Wei Dou China
José L. Soulages United States
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Estela L. Arrese United States
A.K. Charnley United Kingdom
Hajime Ishikawa Japan
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Phillip J. Daborn relative to Philip Batterham Australia Philip Batterham's profile →
Citations per field
00.5×1.5×
Philip Batterham · 1×
Citations per year

Countries citing papers authored by Phillip J. Daborn

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Phillip J. Daborn

This figure shows the co-authorship network connecting the top 25 collaborators of Phillip J. Daborn. A scholar is included among the top collaborators of Phillip J. Daborn 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 Phillip J. Daborn. Phillip J. Daborn 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
#WorkIndexed citations
1 25
2 37
3 53
4 73
5 147
6 11
7 180
8 48
9 52
10 14
11 61
12 111
13 27
14 322
15 145
16 43
17 195
18
A Single P450 Allele Associated with Insecticide Resistance in Drosophilabreakdown →
675
19 58
20 113

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) and Entomopathogenic Microorganisms in Pest Control (11 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 Science, Proceedings of the National Academy of Sciences and PLoS ONE.

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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