The small GTP-binding protein Rab3A regulates a late step in synaptic vesicle fusion

354 indexed citations
published 1997

Countries where authors are citing The small GTP-binding protein Rab3A regulates a late step in synaptic vesicle fusion

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This map shows the geographic impact of The small GTP-binding protein Rab3A regulates a late step in synaptic vesicle fusion. 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 The small GTP-binding protein Rab3A regulates a late step in synaptic vesicle fusion with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites The small GTP-binding protein Rab3A regulates a late step in synaptic vesicle fusion more than expected).

Fields of papers citing The small GTP-binding protein Rab3A regulates a late step in synaptic vesicle fusion

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of The small GTP-binding protein Rab3A regulates a late step in synaptic vesicle fusion. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the The small GTP-binding protein Rab3A regulates a late step in synaptic vesicle fusion.

About The small GTP-binding protein Rab3A regulates a late step in synaptic vesicle fusion

This paper, published in 1997, received 354 indexed citations . Written by Martin Geppert, Yukiko Goda, Charles F. Stevens and Thomas C. Südhof covering the research area of Molecular Biology, Physiology and Cell Biology. It is primarily cited by scholars working on Cell Biology (266 citations), Molecular Biology (231 citations) and Cellular and Molecular Neuroscience (135 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/10.1038/42954.

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