mScarlet: a bright monomeric red fluorescent protein for cellular imaging
Impact in
- Biophysics 173
Classified as
- Journal
- Nature Methods
In The Last Decade
doi.org/10.1038/nmeth.4074 →Countries where authors are citing mScarlet: a bright monomeric red fluorescent protein for cellular imaging
This map shows the geographic impact of mScarlet: a bright monomeric red fluorescent protein for cellular imaging. 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 mScarlet: a bright monomeric red fluorescent protein for cellular imaging with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites mScarlet: a bright monomeric red fluorescent protein for cellular imaging more than expected).
Fields of papers citing mScarlet: a bright monomeric red fluorescent protein for cellular imaging
This network shows the impact of mScarlet: a bright monomeric red fluorescent protein for cellular imaging. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the mScarlet: a bright monomeric red fluorescent protein for cellular imaging.
About mScarlet: a bright monomeric red fluorescent protein for cellular imaging
This paper, published in 2016, received 765 indexed citations . Written by Daphne S. Bindels, Lindsay Haarbosch, Laura van Weeren, Marten Postma, Katrin E. Wiese, Marieke Mastop, Sylvain Aumonier, Guillaume Gotthard, Antoine Royant and Mark A. Hink covering the research area of Organic Chemistry, Structural Biology and Biophysics. It is primarily cited by scholars working on Molecular Biology (502 citations), Biophysics (173 citations), Cell Biology (142 citations), Cellular and Molecular Neuroscience (80 citations) and Genetics (79 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.4074.