Bright far-red fluorescent protein for whole-body imaging
Impact in
- Biophysics 190
Classified as
- Journal
- Nature Methods
In The Last Decade
doi.org/10.1038/nmeth1083 →Countries where authors are citing Bright far-red fluorescent protein for whole-body imaging
This map shows the geographic impact of Bright far-red fluorescent protein for whole-body 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 Bright far-red fluorescent protein for whole-body imaging with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bright far-red fluorescent protein for whole-body imaging more than expected).
Fields of papers citing Bright far-red fluorescent protein for whole-body imaging
This network shows the impact of Bright far-red fluorescent protein for whole-body imaging. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Bright far-red fluorescent protein for whole-body imaging.
About Bright far-red fluorescent protein for whole-body imaging
This paper, published in 2007, received 503 indexed citations . Written by Dmitry Shcherbo, Ekaterina M. Merzlyak, T. V. Chepurnykh, Arkady F. Fradkov, Galina V. Ermakova, Elena A. Solovieva, Konstantin A. Lukyanov, Е. А. Богданова, Andrey G. Zaraisky and Sergey Lukyanov covering the research area of Biotechnology, Genetics and Biophysics. It is primarily cited by scholars working on Molecular Biology (301 citations), Biophysics (190 citations), Biomedical Engineering (107 citations), Cellular and Molecular Neuroscience (75 citations) and Biotechnology (70 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/nmeth1083.