Ultramicroscopy: three-dimensional visualization of neuronal networks in the whole mouse brain
Impact in
- Biophysics 660
Classified as
- Journal
- Nature Methods
In The Last Decade
doi.org/10.1038/nmeth1036 →Countries where authors are citing Ultramicroscopy: three-dimensional visualization of neuronal networks in the whole mouse brain
This map shows the geographic impact of Ultramicroscopy: three-dimensional visualization of neuronal networks in the whole mouse brain. 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 Ultramicroscopy: three-dimensional visualization of neuronal networks in the whole mouse brain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ultramicroscopy: three-dimensional visualization of neuronal networks in the whole mouse brain more than expected).
Fields of papers citing Ultramicroscopy: three-dimensional visualization of neuronal networks in the whole mouse brain
This network shows the impact of Ultramicroscopy: three-dimensional visualization of neuronal networks in the whole mouse brain. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Ultramicroscopy: three-dimensional visualization of neuronal networks in the whole mouse brain.
About Ultramicroscopy: three-dimensional visualization of neuronal networks in the whole mouse brain
This paper, published in 2007, received 907 indexed citations . Written by Hans‐Ulrich Dodt, Ulrich Leischner, Anja Schierloh, Nina Jährling, Christoph P. Mauch, Jan M. Deussing, Matthias Eder, W. Zieglgänsberger and Klaus Becker covering the research area of Molecular Biology and Biophysics. It is primarily cited by scholars working on Biophysics (660 citations), Biomedical Engineering (302 citations), Molecular Biology (257 citations), Radiology, Nuclear Medicine and Imaging (106 citations) and Cellular and Molecular Neuroscience (104 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/nmeth1036.