Philip Batterham

10.1k citations
110 papers · 5.4k indexed · 1 hit paper · h-index 42
Topics
Insect Resistance and Genetics (60 papers)Insect and Pesticide Research (44 papers)Insect-Plant Interactions and Control (23 papers)

In The Last Decade

Philip Batterham

108 papers receiving 5.3k citations

Hit Papers

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

Peers

Philip Batterham
Comparison fields: 5 of 118
  • Molecular Biology 3.3k
  • Insect Science 3.0k
  • Plant Science 1.6k
  • Genetics 929
  • Cellular and Molecular Neuroscience 586
Replace Phillip J. Daborn with:
Phillip J. Daborn Australia
Pierre Capy France
Denis Bourguet France
William T. Starmer United States
Denise Valle Brazil
David G. Heckel Germany
Richard H. ffrench‐Constant United Kingdom
R. T. Roush United States
Richard D. Newcomb New Zealand
Stephen W. McKechnie Australia
Philip Batterham relative to Phillip J. Daborn Australia Phillip J. Daborn's profile →
Citations per field
00.5×1.5×1.9×
Phillip J. Daborn · 1×
Citations per year

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
#WorkIndexed citations
1 0
2 0
3 1
4 9
5 49
6 12
7 33
8 21
9 53
10 16
11 147
12 21
13 14
14 67
15 63
16
A Single P450 Allele Associated with Insecticide Resistance in Drosophilabreakdown →
675
17 35
18
INSECTICIDE RESISTANCE - REPLY
1
19 154
20 4

About Philip Batterham

Philip Batterham is a scholar working on Insect Science, Molecular Biology and Aging, having authored 110 papers that have together received 5.4k indexed citations. Recurring topics across this work include Insect Resistance and Genetics (60 papers), Insect and Pesticide Research (44 papers) and Insect-Plant Interactions and Control (23 papers). The work is most often cited by research in Insect Science (3.0k citations), Molecular Biology (3.3k citations) and Plant Science (1.6k citations). Philip Batterham has collaborated with scholars based in Australia, United States and United Kingdom. Frequent 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. 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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