A general method to improve fluorophores for live-cell and single-molecule microscopy

1.2k indexed citations
published 2015

Countries where authors are citing A general method to improve fluorophores for live-cell and single-molecule microscopy

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Citations

This map shows the geographic impact of A general method to improve fluorophores for live-cell and single-molecule microscopy. 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 general method to improve fluorophores for live-cell and single-molecule microscopy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A general method to improve fluorophores for live-cell and single-molecule microscopy more than expected).

Fields of papers citing A general method to improve fluorophores for live-cell and single-molecule microscopy

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of A general method to improve fluorophores for live-cell and single-molecule microscopy. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the A general method to improve fluorophores for live-cell and single-molecule microscopy.

About A general method to improve fluorophores for live-cell and single-molecule microscopy

This paper, published in 2015, received 1.2k indexed citations . Written by Jonathan B. Grimm, Brian P. English, Jiji Chen, Zhengjian Zhang, Andrey Revyakin, Ronak Patel, J. J. Macklin, Davide Normanno, Robert H. Singer and Timothée Lionnet covering the research area of Organic Chemistry, Molecular Biology and Biophysics. It is primarily cited by scholars working on Molecular Biology (653 citations), Biophysics (356 citations), Materials Chemistry (300 citations), Organic Chemistry (204 citations) and Spectroscopy (181 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/nmeth.3256.

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