A FlAsH-based FRET approach to determine G protein–coupled receptor activation in living cells
- Journal
- Nature Methods
In The Last Decade
doi.org/10.1038/nmeth742 →Countries where authors are citing A FlAsH-based FRET approach to determine G protein–coupled receptor activation in living cells
This map shows the geographic impact of A FlAsH-based FRET approach to determine G protein–coupled receptor activation in living cells. 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 A FlAsH-based FRET approach to determine G protein–coupled receptor activation in living cells with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A FlAsH-based FRET approach to determine G protein–coupled receptor activation in living cells more than expected).
Fields of papers citing A FlAsH-based FRET approach to determine G protein–coupled receptor activation in living cells
This network shows the impact of A FlAsH-based FRET approach to determine G protein–coupled receptor activation in living cells. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the A FlAsH-based FRET approach to determine G protein–coupled receptor activation in living cells.
About A FlAsH-based FRET approach to determine G protein–coupled receptor activation in living cells
This paper, published in 2005, received 393 indexed citations . Written by Carsten Hoffmann, Guido Gaietta, Moritz Bünemann, Stephen Adams, Björn Behr, Jean‐Pierre Vilardaga, Roger Y. Tsien, Mark H. Ellisman and Martin J. Lohse covering the research area of Molecular Biology, Physiology and Organic Chemistry. It is primarily cited by scholars working on Molecular Biology (338 citations), Cellular and Molecular Neuroscience (133 citations) and Biophysics (74 citations). Published in Nature Methods.
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/nmeth742.