Fast, three-dimensional super-resolution imaging of live cells
Impact in
- Biophysics 450
Classified as
- Journal
- Nature Methods
In The Last Decade
doi.org/10.1038/nmeth.1605 →Countries where authors are citing Fast, three-dimensional super-resolution imaging of live cells
This map shows the geographic impact of Fast, three-dimensional super-resolution imaging of live 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 Fast, three-dimensional super-resolution imaging of live cells with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fast, three-dimensional super-resolution imaging of live cells more than expected).
Fields of papers citing Fast, three-dimensional super-resolution imaging of live cells
This network shows the impact of Fast, three-dimensional super-resolution imaging of live cells. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Fast, three-dimensional super-resolution imaging of live cells.
About Fast, three-dimensional super-resolution imaging of live cells
This paper, published in 2011, received 586 indexed citations . Written by Sara A. Jones, Sang‐Hee Shim, Jiang He and Xiaowei Zhuang covering the research area of Atomic and Molecular Physics, and Optics and Biophysics. It is primarily cited by scholars working on Biophysics (450 citations), Biomedical Engineering (213 citations), Structural Biology (193 citations), Molecular Biology (184 citations) and Atomic and Molecular Physics, and Optics (69 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.1605.