GABAA-receptor-associated protein links GABAA receptors and the cytoskeleton

601 indexed citations
published 1999

Countries where authors are citing GABAA-receptor-associated protein links GABAA receptors and the cytoskeleton

Specialization
Citations

This map shows the geographic impact of GABAA-receptor-associated protein links GABAA receptors and the cytoskeleton. 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 GABAA-receptor-associated protein links GABAA receptors and the cytoskeleton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites GABAA-receptor-associated protein links GABAA receptors and the cytoskeleton more than expected).

Fields of papers citing GABAA-receptor-associated protein links GABAA receptors and the cytoskeleton

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of GABAA-receptor-associated protein links GABAA receptors and the cytoskeleton. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the GABAA-receptor-associated protein links GABAA receptors and the cytoskeleton.

About GABAA-receptor-associated protein links GABAA receptors and the cytoskeleton

This paper, published in 1999, received 601 indexed citations . Written by Hongbing Wang, Fiona K. Bedford, Nicholas J. Brandon, Stephen J. Moss and Richard W. Olsen covering the research area of Molecular Biology and Cellular and Molecular Neuroscience. It is primarily cited by scholars working on Molecular Biology (347 citations), Cellular and Molecular Neuroscience (275 citations) and Cell Biology (115 citations). Published in Nature.

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/10.1038/16264.

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