Fluorescent indicators for Ca2+based on green fluorescent proteins and calmodulin
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doi.org/10.1038/42264 →Countries where authors are citing Fluorescent indicators for Ca2+based on green fluorescent proteins and calmodulin
This map shows the geographic impact of Fluorescent indicators for Ca2+based on green fluorescent proteins and calmodulin. 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 Fluorescent indicators for Ca2+based on green fluorescent proteins and calmodulin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fluorescent indicators for Ca2+based on green fluorescent proteins and calmodulin more than expected).
Fields of papers citing Fluorescent indicators for Ca2+based on green fluorescent proteins and calmodulin
This network shows the impact of Fluorescent indicators for Ca2+based on green fluorescent proteins and calmodulin. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Fluorescent indicators for Ca2+based on green fluorescent proteins and calmodulin.
About Fluorescent indicators for Ca2+based on green fluorescent proteins and calmodulin
This paper, published in 1997, received 2.5k indexed citations . Written by Atsushi Miyawaki, Juan Llopis, Roger Heim, J. Michael McCaffery, Joseph A. Adams, Mitsuhiko Ikura and Roger Y. Tsien covering the research area of Molecular Biology, Cell Biology and Biophysics. It is primarily cited by scholars working on Molecular Biology (1.7k citations), Biophysics (854 citations) and Cellular and Molecular Neuroscience (704 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/10.1038/42264.