Philip E. Howse

3.3k citations
95 papers · 2.8k · h-index 31

Impact in

Papers in

Philip E. Howse

94 papers receiving 2.4k citations

Peers

Philip E. Howse
Comparison fields: 5 of 113
  • Insect Science 1.3k
  • Ecology, Evolution, Behavior and Systematics 1.5k
  • Genetics 1.4k
  • Developmental Biology 57
  • Cellular and Molecular Neuroscience 384
Replace Sadahiro Tatsuki with:
Sadahiro Tatsuki Japan
Susanne Dobler Germany
Astrid T. Groot Netherlands
Tappey H. Jones United States
Michel Renou France
Stéphanie Heuskin Belgium
Stephen William McKechnie Australia
MARTIN C. BIRCH United States
Joachim Rüther Germany
Anne C. Gaskett New Zealand
Philip E. Howse relative to Sadahiro Tatsuki Japan Sadahiro Tatsuki's profile →
Citations per field
00.5×1.5×2×2.3×
Sadahiro Tatsuki · 1×
Citations per year

Countries citing papers authored by Philip E. Howse

Since Specialization
Citations

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

Fields of papers citing papers by Philip E. Howse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Philip E. Howse, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Philip E. Howse Line = papers co-authored together Philip E. Howse links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998299
2 1980129
3 1987102
4 199392
5 199590
6 197590
7 197976
8 196460
9
Biosystematics of social insects
198160
10 197957
11 196556
12 199454
13 199453
14 199453
15 200152
16 197550
17 196449
18 197147
19 199946
20 198446

About Philip E. Howse

Philip E. Howse is a scholar working on Insect Science, Ecology, Evolution, Behavior and Systematics, Genetics, Cellular and Molecular Neuroscience and Plant Science, having authored 95 papers that have together received 2.8k indexed citations. Recurring topics across this work include Insect and Arachnid Ecology and Behavior (49 papers), Plant and animal studies (45 papers), Insect and Pesticide Research (25 papers), Neurobiology and Insect Physiology Research (16 papers), Insect behavior and control techniques (15 papers), Insect Pest Control Strategies (13 papers), Insect Pheromone Research and Control (13 papers) and Insect-Plant Interactions and Control (8 papers). The work is most often cited by research in Insect Science (1.3k citations), Ecology, Evolution, Behavior and Systematics (1.5k citations), Genetics (1.4k citations), Developmental Biology (57 citations) and Cellular and Molecular Neuroscience (384 citations). Philip E. Howse has collaborated with scholars based in United Kingdom, Brazil and United States. Frequent co-authors include O. T. Jones, F. A. Talukder, I. D. R. Stevens, Raymond Baker, John W.S. Bradshaw, Chris Longhurst, Klaus Jaffé, PAUL C. JEPSON, Raymond Baker and Dave Goulson. Their work appears in journals such as Physiological Entomology, Animal Behaviour, Journal of Insect Physiology, Cellular and Molecular Life Sciences and Insectes Sociaux.

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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