High-throughput ethomics in large groups of Drosophila

Abstract

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This paper, published in 1950, received 522 indexed citations. Written by Kristin Branson, Alice A. Robie, John A. Bender, Pietro Perona and Michael H. Dickinson covering the research area of Genetics, Cellular and Molecular Neuroscience and Ecology, Evolution, Behavior and Systematics. It is primarily cited by scholars working on Cellular and Molecular Neuroscience (224 citations), Ecology, Evolution, Behavior and Systematics (223 citations) and Genetics (188 citations). Published in Nature Methods.

Countries where authors are citing High-throughput ethomics in large groups of Drosophila

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This map shows the geographic impact of High-throughput ethomics in large groups of Drosophila. 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 High-throughput ethomics in large groups of Drosophila with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites High-throughput ethomics in large groups of Drosophila more than expected).

Fields of papers citing High-throughput ethomics in large groups of Drosophila

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of High-throughput ethomics in large groups of Drosophila. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the High-throughput ethomics in large groups of Drosophila.

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/10.1038/nmeth.1328.

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