Adaptive optics via pupil segmentation for high-resolution imaging in biological tissues

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This paper, published in 1950, received 437 indexed citations. Written by Na Ji, Daniel E. Milkie and Eric Betzig covering the research area of Biomedical Engineering and Biophysics. It is primarily cited by scholars working on Biophysics (309 citations), Biomedical Engineering (259 citations) and Atomic and Molecular Physics, and Optics (127 citations). Published in Nature Methods.

Countries where authors are citing Adaptive optics via pupil segmentation for high-resolution imaging in biological tissues

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This map shows the geographic impact of Adaptive optics via pupil segmentation for high-resolution imaging in biological tissues. 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 Adaptive optics via pupil segmentation for high-resolution imaging in biological tissues with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adaptive optics via pupil segmentation for high-resolution imaging in biological tissues more than expected).

Fields of papers citing Adaptive optics via pupil segmentation for high-resolution imaging in biological tissues

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Adaptive optics via pupil segmentation for high-resolution imaging in biological tissues. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Adaptive optics via pupil segmentation for high-resolution imaging in biological tissues.

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.1411.

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