Identification and characterization of the vesicular GABA transporter

706 indexed citations
published 1997

Countries where authors are citing Identification and characterization of the vesicular GABA transporter

Specialization
Citations

This map shows the geographic impact of Identification and characterization of the vesicular GABA transporter. 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 Identification and characterization of the vesicular GABA transporter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Identification and characterization of the vesicular GABA transporter more than expected).

Fields of papers citing Identification and characterization of the vesicular GABA transporter

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Identification and characterization of the vesicular GABA transporter. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Identification and characterization of the vesicular GABA transporter.

About Identification and characterization of the vesicular GABA transporter

This paper, published in 1997, received 706 indexed citations . Written by Steven L. McIntire, Richard J. Reimer, Kim Schuske, Robert H. Edwards and Erik M. Jørgensen covering the research area of Cellular and Molecular Neuroscience, Cell Biology and Aging. It is primarily cited by scholars working on Cellular and Molecular Neuroscience (395 citations), Molecular Biology (336 citations) and Aging (167 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/10.1038/39908.

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