Activity level controls postsynaptic composition and signaling via the ubiquitin-proteasome system

814 indexed citations

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This paper, published in 2003, received 814 indexed citations. Written by Michael Ehlers covering the research area of Molecular Biology and Cellular and Molecular Neuroscience. It is primarily cited by scholars working on Molecular Biology (536 citations), Cellular and Molecular Neuroscience (484 citations) and Cell Biology (177 citations). Published in Nature Neuroscience.

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doi.org/10.1038/nn1013 →

Countries where authors are citing Activity level controls postsynaptic composition and signaling via the ubiquitin-proteasome system

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This map shows the geographic impact of Activity level controls postsynaptic composition and signaling via the ubiquitin-proteasome system. 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 Activity level controls postsynaptic composition and signaling via the ubiquitin-proteasome system with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Activity level controls postsynaptic composition and signaling via the ubiquitin-proteasome system more than expected).

Fields of papers citing Activity level controls postsynaptic composition and signaling via the ubiquitin-proteasome system

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Activity level controls postsynaptic composition and signaling via the ubiquitin-proteasome system. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Activity level controls postsynaptic composition and signaling via the ubiquitin-proteasome system.

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/nn1013.

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