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Times Cited: 181
Times Cited: 181
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Times Co-cited
Similarity
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J E Cook. Vis Neurosci 1996
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Automated identification of cone photoreceptors in adaptive optics retinal images.
Kaccie Y Li, Austin Roorda. J Opt Soc Am A Opt Image Sci Vis 2007
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J Liang, D R Williams, D T Miller. J Opt Soc Am A Opt Image Sci Vis 1997
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Cone contacts, mosaics, and territories of bipolar cells in the mouse retina.
Heinz Wässle, Christian Puller, Frank Müller, Silke Haverkamp. J Neurosci 2009
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H Wässle, H J Riemann. Proc R Soc Lond B Biol Sci 1978
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Adaptive optics scanning laser ophthalmoscopy.
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Longitudinal study of cone photoreceptors during retinal degeneration and in response to ciliary neurotrophic factor treatment.
Katherine E Talcott, Kavitha Ratnam, Sanna M Sundquist, Anna S Lucero, Brandon J Lujan, Weng Tao, Travis C Porco, Austin Roorda, Jacque L Duncan. Invest Ophthalmol Vis Sci 2011
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DSCAM and DSCAML1 function in self-avoidance in multiple cell types in the developing mouse retina.
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Genetic identification of an On-Off direction-selective retinal ganglion cell subtype reveals a layer-specific subcortical map of posterior motion.
Andrew D Huberman, Wei Wei, Justin Elstrott, Ben K Stafford, Marla B Feller, Ben A Barres. Neuron 2009
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Intersubject variability of foveal cone photoreceptor density in relation to eye length.
Kaccie Y Li, Pavan Tiruveedhula, Austin Roorda. Invest Ophthalmol Vis Sci 2010
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Noninvasive imaging of the human rod photoreceptor mosaic using a confocal adaptive optics scanning ophthalmoscope.
Alfredo Dubra, Yusufu Sulai, Jennifer L Norris, Robert F Cooper, Adam M Dubis, David R Williams, Joseph Carroll. Biomed Opt Express 2011
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Variation of cone photoreceptor packing density with retinal eccentricity and age.
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In vivo imaging of human cone photoreceptor inner segments.
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Packing geometry of human cone photoreceptors: variation with eccentricity and evidence for local anisotropy.
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Adaptive-optics imaging of human cone photoreceptor distribution.
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Observation of cone and rod photoreceptors in normal subjects and patients using a new generation adaptive optics scanning laser ophthalmoscope.
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A robust and high-throughput Cre reporting and characterization system for the whole mouse brain.
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13
The most numerous ganglion cell type of the mouse retina is a selective feature detector.
Yifeng Zhang, In-Jung Kim, Joshua R Sanes, Markus Meister. Proc Natl Acad Sci U S A 2012
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Design principles and developmental mechanisms underlying retinal mosaics.
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Dscam and Sidekick proteins direct lamina-specific synaptic connections in vertebrate retina.
Masahito Yamagata, Joshua R Sanes. Nature 2008
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Retinal ganglion cells with distinct directional preferences differ in molecular identity, structure, and central projections.
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In-Jung Kim, Yifeng Zhang, Markus Meister, Joshua R Sanes. J Neurosci 2010
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Quantitative analysis of neuronal morphologies in the mouse retina visualized by using a genetically directed reporter.
Tudor Constantin Badea, Jeremy Nathans. J Comp Neurol 2004
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Reflective afocal broadband adaptive optics scanning ophthalmoscope.
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Repeatability of in vivo parafoveal cone density and spacing measurements.
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Interocular symmetry of parafoveal photoreceptor cone density distribution.
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Visual space is represented by nonmatching topographies of distinct mouse retinal ganglion cell types.
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The functional diversity of retinal ganglion cells in the mouse.
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Lu O Sun, Zheng Jiang, Michal Rivlin-Etzion, Randal Hand, Colleen M Brady, Ryota L Matsuoka, King-Wai Yau, Marla B Feller, Alex L Kolodkin. Science 2013
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Connectomic reconstruction of the inner plexiform layer in the mouse retina.
Moritz Helmstaedter, Kevin L Briggman, Srinivas C Turaga, Viren Jain, H Sebastian Seung, Winfried Denk. Nature 2013
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Determinants of the exclusion zone in dopaminergic amacrine cell mosaics.
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Transient neurites of retinal horizontal cells exhibit columnar tiling via homotypic interactions.
Rachel M Huckfeldt, Timm Schubert, Josh L Morgan, Leanne Godinho, Graziella Di Cristo, Z Josh Huang, Rachel O L Wong. Nat Neurosci 2009
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Co-cited is the co-citation frequency, indicating how many articles cite the article together with the query article. Similarity is the co-citation as percentage of the times cited of the query article or the article in the search results, whichever is the lowest. These numbers are calculated for the last 100 citations when articles are cited more than 100 times.