John E. Layne

27 papers receiving 711 citations

Peers

John E. Layne
Comparison fields: 5 of 72
  • Cellular and Molecular Neuroscience 349
  • Ecology, Evolution, Behavior and Systematics 383
  • Ecology 301
  • Nature and Landscape Conservation 134
  • Developmental Biology 19
Replace Jochen Smolka with:
Jochen Smolka Sweden
Sara Arganda Spain
Jens Herberholz United States
Jennifer Basil United States
Sara M. Stieb Switzerland
Scott P. McRobert United States
Axel Schmid Austria
M. D. Burns United Kingdom
K. Wiese Germany
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John E. Layne relative to Jochen Smolka Sweden Jochen Smolka's profile →
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Citations per year

Countries citing papers authored by John E. Layne

Since Specialization
Citations

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

Fields of papers citing papers by John E. Layne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside John E. Layne, 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 John E. Layne Line = papers co-authored together John E. Layne links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995112
2 199582
3 200366
4 199765
5 200253
6 200350
7 201045
8 199841
9 201634
10 200833
11 201325
12 201124
13 201020
14 200717
15 199716
16 201813
17 200611
18 200910
19 20203
20 20232

About John E. Layne

John E. Layne is a scholar working on Cellular and Molecular Neuroscience, Ecology, Ecology, Evolution, Behavior and Systematics, Genetics and Nature and Landscape Conservation, having authored 27 papers that have together received 733 indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (15 papers), Crustacean biology and ecology (12 papers), Insect and Arachnid Ecology and Behavior (7 papers), Fish biology, ecology, and behavior (6 papers), Plant and animal studies (6 papers), Insect Utilization and Effects (4 papers), Animal Behavior and Reproduction (3 papers) and Olfactory and Sensory Function Studies (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (349 citations), Ecology, Evolution, Behavior and Systematics (383 citations), Ecology (301 citations), Nature and Landscape Conservation (134 citations) and Developmental Biology (19 citations). John E. Layne has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Michael F. Land, Jochen Zeil, W. Jon. P. Barnes, Stephanie M. Rollmann, Elke K. Buschbeck, Srdjan Maksimovic, Tiffany Cook, Premraj Rajkumar, Elizabeth Brown and Priya Date. Their work appears in journals such as Journal of Experimental Biology, Current Biology, Journal of Comparative Physiology A, Journal of Insect Physiology 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.

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