Optimized localization analysis for single-molecule tracking and super-resolution microscopy

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This paper, published in 1950, received 640 indexed citations. Written by Kim I. Mortensen, L. Stirling Churchman, James A. Spudich and Henrik Flyvbjerg covering the research area of Media Technology, Biomedical Engineering and Biophysics. It is primarily cited by scholars working on Biophysics (494 citations), Biomedical Engineering (275 citations) and Structural Biology (227 citations). Published in Nature Methods.

Countries where authors are citing Optimized localization analysis for single-molecule tracking and super-resolution microscopy

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This map shows the geographic impact of Optimized localization analysis for single-molecule tracking and super-resolution 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 Optimized localization analysis for single-molecule tracking and super-resolution microscopy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Optimized localization analysis for single-molecule tracking and super-resolution microscopy more than expected).

Fields of papers citing Optimized localization analysis for single-molecule tracking and super-resolution microscopy

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Optimized localization analysis for single-molecule tracking and super-resolution microscopy. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Optimized localization analysis for single-molecule tracking and super-resolution microscopy.

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.1447.

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