Atomu Sawatari

1.1k total citations
27 papers, 853 citations indexed

About

Atomu Sawatari is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Neurology. According to data from OpenAlex, Atomu Sawatari has authored 27 papers receiving a total of 853 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Cellular and Molecular Neuroscience, 15 papers in Molecular Biology and 7 papers in Neurology. Recurrent topics in Atomu Sawatari's work include Neuroscience and Neuropharmacology Research (12 papers), Retinal Development and Disorders (10 papers) and Neuroinflammation and Neurodegeneration Mechanisms (7 papers). Atomu Sawatari is often cited by papers focused on Neuroscience and Neuropharmacology Research (12 papers), Retinal Development and Disorders (10 papers) and Neuroinflammation and Neurodegeneration Mechanisms (7 papers). Atomu Sawatari collaborates with scholars based in Australia, United States and Germany. Atomu Sawatari's co-authors include Edward M. Callaway, Catherine A. Leamey, Hyunchul Lee, Kelly A. Glendining, Neusa Harumi Yabuta, Toshitaka Oohashi, Mriganka Sur, Sam Merlin, Timothy R. Young and Michael Bourke and has published in prestigious journals such as Nature, Science and Neuron.

In The Last Decade

Atomu Sawatari

27 papers receiving 842 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Atomu Sawatari Australia 16 484 396 305 110 102 27 853
Nancy Blace United States 6 617 1.3× 436 1.1× 267 0.9× 90 0.8× 67 0.7× 10 797
Takao K. Hensch France 3 660 1.4× 410 1.0× 381 1.2× 145 1.3× 74 0.7× 3 994
Juncal González‐Soriano Spain 16 640 1.3× 551 1.4× 267 0.9× 75 0.7× 128 1.3× 35 1.2k
Dimitar Kostadinov United States 6 387 0.8× 439 1.1× 167 0.5× 129 1.2× 161 1.6× 8 773
Audra Van Wart United States 13 760 1.6× 512 1.3× 329 1.1× 68 0.6× 74 0.7× 14 1.1k
A. Louise Upton United Kingdom 11 700 1.4× 349 0.9× 262 0.9× 86 0.8× 56 0.5× 14 945
Catherine A. Leamey Australia 19 743 1.5× 550 1.4× 323 1.1× 148 1.3× 142 1.4× 43 1.2k
André Marques–Smith United Kingdom 11 577 1.2× 257 0.6× 310 1.0× 122 1.1× 130 1.3× 12 819
Simon X. Chen Canada 12 545 1.1× 174 0.4× 477 1.6× 76 0.7× 101 1.0× 14 900
Monica W. Chu United States 7 509 1.1× 447 1.1× 204 0.7× 74 0.7× 79 0.8× 7 841

Countries citing papers authored by Atomu Sawatari

Since Specialization
Citations

This map shows the geographic impact of Atomu Sawatari's research. 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 Atomu Sawatari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Atomu Sawatari more than expected).

Fields of papers citing papers by Atomu Sawatari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Atomu Sawatari. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Atomu Sawatari. The network helps show where Atomu Sawatari may publish in the future.

Co-authorship network of co-authors of Atomu Sawatari

This figure shows the co-authorship network connecting the top 25 collaborators of Atomu Sawatari. A scholar is included among the top collaborators of Atomu Sawatari based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Atomu Sawatari. Atomu Sawatari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Sawatari, Atomu, et al.. (2025). Microglia: Mediators of experience-driven corrective neuroplasticity. IBRO Neuroscience Reports. 19. 91–100. 1 indexed citations
3.
Young, Timothy R., et al.. (2023). Ten‐m4 plays a unique role in the establishment of binocular visual circuits. Developmental Neurobiology. 83(3-4). 104–124. 2 indexed citations
4.
Too, Lay Khoon, Weiyong Shen, Darío A. Protti, et al.. (2022). Optogenetic restoration of high sensitivity vision with bReaChES, a red-shifted channelrhodopsin. Scientific Reports. 12(1). 19312–19312. 8 indexed citations
5.
Goldsbury, Claire, et al.. (2022). An Early Enriched Experience Drives an Activated Microglial Profile at Site of Corrective Neuroplasticity in Ten-m3 Knock-Out Mice. eNeuro. 10(1). ENEURO.0162–22.2022. 3 indexed citations
6.
Sawatari, Atomu, et al.. (2020). Environmental Enrichment Rescues Visually-Mediated Behavior in Ten-m3 Knockout Mice During an Early Critical Period. Frontiers in Behavioral Neuroscience. 14. 22–22. 5 indexed citations
7.
Leamey, Catherine A. & Atomu Sawatari. (2019). Teneurins: Mediators of Complex Neural Circuit Assembly in Mammals. Frontiers in Neuroscience. 13. 580–580. 11 indexed citations
9.
Leamey, Catherine A., et al.. (2018). Environmental Enrichment Expedites Acquisition and Improves Flexibility on a Temporal Sequencing Task in Mice. Frontiers in Behavioral Neuroscience. 12. 51–51. 12 indexed citations
10.
Sawatari, Atomu, et al.. (2014). The glycoprotein Ten‐m3 mediates topography and patterning of thalamostriatal projections from the parafascicular nucleus in mice. European Journal of Neuroscience. 41(1). 55–68. 18 indexed citations
11.
Leamey, Catherine A. & Atomu Sawatari. (2014). The teneurins: New players in the generation of visual topography. Seminars in Cell and Developmental Biology. 35. 173–179. 23 indexed citations
12.
Leamey, Catherine A., et al.. (2014). The Use of the Puzzle Box as a Means of Assessing the Efficacy of Environmental Enrichment. Journal of Visualized Experiments. 23 indexed citations
13.
Young, Timothy R., Michael Bourke, Xiaohong Zhou, et al.. (2013). Ten-m2 Is Required for the Generation of Binocular Visual Circuits. Journal of Neuroscience. 33(30). 12490–12509. 61 indexed citations
14.
Lee, Hyunchul & Atomu Sawatari. (2011). Medium spiny neurons of the neostriatal matrix exhibit specific, stereotyped changes in dendritic arborization during a critical developmental period in mice. European Journal of Neuroscience. 34(9). 1345–1354. 16 indexed citations
15.
Lee, Hyunchul, et al.. (2009). Enrichment from Birth Accelerates the Functional and Cellular Development of a Motor Control Area in the Mouse. PLoS ONE. 4(8). e6780–e6780. 34 indexed citations
16.
Lee, Hyunchul, Catherine A. Leamey, & Atomu Sawatari. (2008). Rapid Reversal of Chondroitin Sulfate Proteoglycan Associated Staining in Subcompartments of Mouse Neostriatum during the Emergence of Behaviour. PLoS ONE. 3(8). e3020–e3020. 13 indexed citations
17.
Leamey, Catherine A., Sam Merlin, Atomu Sawatari, et al.. (2007). Ten_m3 Regulates Eye-Specific Patterning in the Mammalian Visual Pathway and Is Required for Binocular Vision. PLoS Biology. 5(9). e241–e241. 127 indexed citations
18.
Leamey, Catherine A., Kelly A. Glendining, Gabriel Kreiman, et al.. (2007). Differential Gene Expression between Sensory Neocortical Areas: Potential Roles for Ten_m3 and Bcl6 in Patterning Visual and Somatosensory Pathways. Cerebral Cortex. 18(1). 53–66. 53 indexed citations
19.
Sawatari, Atomu & Edward M. Callaway. (2000). Diversity and Cell Type Specificity of Local Excitatory Connections to Neurons in Layer 3B of Monkey Primary Visual Cortex. Neuron. 25(2). 459–471. 66 indexed citations
20.
Sawatari, Atomu & Edward M. Callaway. (1996). Convergence of magno- and parvocellular pathways in layer 4B of macaque primary visual cortex. Nature. 380(6573). 442–446. 126 indexed citations

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.

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