Insects on Plants: Community Patterns and Mechanisms

1.3k indexed citations
published 1984
Authors
Donald R. StrongJohn H. LawtonSir R. Southwood
Journal
Medical Entomology and Zoology

In The Last Decade

doi.org/w67583819 →

Countries where authors are citing Insects on Plants: Community Patterns and Mechanisms

Specialization
Citations

This map shows the geographic impact of Insects on Plants: Community Patterns and Mechanisms. 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 Insects on Plants: Community Patterns and Mechanisms with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Insects on Plants: Community Patterns and Mechanisms more than expected).

Fields of papers citing Insects on Plants: Community Patterns and Mechanisms

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Insects on Plants: Community Patterns and Mechanisms. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Insects on Plants: Community Patterns and Mechanisms.

About Insects on Plants: Community Patterns and Mechanisms

This paper, published in 1984, received 1.3k indexed citations . Written by Donald R. Strong, John H. Lawton and Sir R. Southwood covering the research area of Insect Science and Ecology, Evolution, Behavior and Systematics. It is primarily cited by scholars working on Ecology, Evolution, Behavior and Systematics (853 citations), Insect Science (579 citations) and Nature and Landscape Conservation (534 citations). Published in Medical Entomology and Zoology.

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.

This paper is also available at doi.org/w67583819.

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