GTP-binding proteins couple cardiac muscarinic receptors to a K channel
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In The Last Decade
doi.org/10.1038/317536a0 →Countries where authors are citing GTP-binding proteins couple cardiac muscarinic receptors to a K channel
This map shows the geographic impact of GTP-binding proteins couple cardiac muscarinic receptors to a K channel. 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 GTP-binding proteins couple cardiac muscarinic receptors to a K channel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites GTP-binding proteins couple cardiac muscarinic receptors to a K channel more than expected).
Fields of papers citing GTP-binding proteins couple cardiac muscarinic receptors to a K channel
This network shows the impact of GTP-binding proteins couple cardiac muscarinic receptors to a K channel. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the GTP-binding proteins couple cardiac muscarinic receptors to a K channel.
About GTP-binding proteins couple cardiac muscarinic receptors to a K channel
This paper, published in 1985, received 722 indexed citations . Written by Paul J. Pfaffinger, Jennifer M. Martin, Dale D. Hunter, Neil M. Nathanson and Bertil Hille covering the research area of Molecular Biology and Cardiology and Cardiovascular Medicine. It is primarily cited by scholars working on Molecular Biology (661 citations), Cellular and Molecular Neuroscience (378 citations) and Cardiology and Cardiovascular Medicine (276 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/10.1038/317536a0.