Keisuke Yonehara

2.2k total citations
36 papers, 1.3k citations indexed

About

Keisuke Yonehara is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Keisuke Yonehara has authored 36 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 21 papers in Cellular and Molecular Neuroscience and 18 papers in Cognitive Neuroscience. Recurrent topics in Keisuke Yonehara's work include Retinal Development and Disorders (19 papers), Neural dynamics and brain function (15 papers) and Photoreceptor and optogenetics research (9 papers). Keisuke Yonehara is often cited by papers focused on Retinal Development and Disorders (19 papers), Neural dynamics and brain function (15 papers) and Photoreceptor and optogenetics research (9 papers). Keisuke Yonehara collaborates with scholars based in Denmark, Japan and Switzerland. Keisuke Yonehara's co-authors include Botond Roska, Masaharu Noda, Kamill Bálint, Akihiro Matsumoto, Miguel Teixeira, Takafumi Shintani, Karl Farrow, Hiraki Sakuta, Dániel Hillier and Alexander Ghanem and has published in prestigious journals such as Science, Nature Communications and Neuron.

In The Last Decade

Keisuke Yonehara

34 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Keisuke Yonehara Denmark 17 862 818 615 78 69 36 1.3k
Karl Farrow Belgium 16 692 0.8× 600 0.7× 463 0.8× 40 0.5× 77 1.1× 31 1.2k
Audra Van Wart United States 13 760 0.9× 512 0.6× 329 0.5× 69 0.9× 74 1.1× 14 1.1k
Tim J. Viney United Kingdom 18 1.8k 2.0× 918 1.1× 1.1k 1.8× 53 0.7× 183 2.7× 24 2.2k
Justin C. Crowley United States 16 787 0.9× 456 0.6× 793 1.3× 33 0.4× 91 1.3× 20 1.5k
Juncal González‐Soriano Spain 16 640 0.7× 551 0.7× 267 0.4× 46 0.6× 128 1.9× 35 1.2k
Timothy J. Burbridge United States 9 544 0.6× 386 0.5× 392 0.6× 77 1.0× 54 0.8× 10 847
Karla E. Hirokawa United States 10 451 0.5× 649 0.8× 283 0.5× 122 1.6× 114 1.7× 11 1.1k
Onkar S. Dhande United States 11 667 0.8× 655 0.8× 359 0.6× 40 0.5× 62 0.9× 19 963
Takao K. Hensch France 3 660 0.8× 410 0.5× 381 0.6× 83 1.1× 74 1.1× 3 994
Catherine A. Leamey Australia 19 743 0.9× 550 0.7× 323 0.5× 66 0.8× 142 2.1× 43 1.2k

Countries citing papers authored by Keisuke Yonehara

Since Specialization
Citations

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

Fields of papers citing papers by Keisuke Yonehara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Keisuke Yonehara. 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 Keisuke Yonehara. The network helps show where Keisuke Yonehara may publish in the future.

Co-authorship network of co-authors of Keisuke Yonehara

This figure shows the co-authorship network connecting the top 25 collaborators of Keisuke Yonehara. A scholar is included among the top collaborators of Keisuke Yonehara 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 Keisuke Yonehara. Keisuke Yonehara 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.
Matsumoto, Akihiro, et al.. (2025). Functionally distinct GABAergic amacrine cell types regulate spatiotemporal encoding in the mouse retina. Nature Neuroscience. 28(6). 1256–1267. 2 indexed citations
2.
Matsumoto, Akihiro & Keisuke Yonehara. (2023). Emerging computational motifs: Lessons from the retina. Neuroscience Research. 196. 11–22. 2 indexed citations
3.
Yamamoto, Haruka, et al.. (2023). Recombinase-independent AAV for anterograde transsynaptic tracing. Molecular Brain. 16(1). 66–66. 1 indexed citations
4.
5.
Yonehara, Keisuke, et al.. (2022). Therapeutic Neuromodulation toward a Critical State May Serve as a General Treatment Strategy. Biomedicines. 10(9). 2317–2317.
6.
Glud, Andreas Nørgaard, et al.. (2022). Short- and Long-Range Connections Differentially Modulate the Dynamics and State of Small-World Networks. Frontiers in Computational Neuroscience. 15. 783474–783474. 7 indexed citations
7.
Sethuramanujam, Santhosh, Akihiro Matsumoto, Claudio Grosman, et al.. (2021). Rapid multi-directed cholinergic transmission in the central nervous system. Nature Communications. 12(1). 1374–1374. 18 indexed citations
8.
Rasmussen, Rune, et al.. (2021). Binocular integration of retinal motion information underlies optic flow processing by the cortex. Current Biology. 31(6). 1165–1174.e6. 14 indexed citations
9.
Rasmussen, Rune, et al.. (2021). EyeLoop: An Open-Source System for High-Speed, Closed-Loop Eye-Tracking. Frontiers in Cellular Neuroscience. 15. 779628–779628. 4 indexed citations
10.
Sethuramanujam, Santhosh, Akihiro Matsumoto, Claudio Grosman, et al.. (2021). Author Correction: Rapid multi-directed cholinergic transmission in the central nervous system. Nature Communications. 12(1). 2441–2441. 2 indexed citations
11.
Rasmussen, Rune & Keisuke Yonehara. (2020). Contributions of Retinal Direction Selectivity to Central Visual Processing. Current Biology. 30(15). R897–R903. 11 indexed citations
12.
Rasmussen, Rune, et al.. (2020). A segregated cortical stream for retinal direction selectivity. Nature Communications. 11(1). 831–831. 32 indexed citations
13.
Krabbe, Sabine, Enrica Paradiso, Simon d‘Aquin, et al.. (2019). Adaptive disinhibitory gating by VIP interneurons permits associative learning. Nature Neuroscience. 22(11). 1834–1843. 108 indexed citations
14.
Oliveira, Ana F. & Keisuke Yonehara. (2018). The Mouse Superior Colliculus as a Model System for Investigating Cell Type-Based Mechanisms of Visual Motor Transformation. Frontiers in Neural Circuits. 12. 59–59. 23 indexed citations
15.
Schubert, Rajib, Stuart Trenholm, Kamill Bálint, et al.. (2017). Virus stamping for targeted single-cell infection in vitro and in vivo. Nature Biotechnology. 36(1). 81–88. 35 indexed citations
16.
Rompani, Santiago B., Fiona E. Müllner, Adrian Wanner, et al.. (2017). Different Modes of Visual Integration in the Lateral Geniculate Nucleus Revealed by Single-Cell-Initiated Transsynaptic Tracing. Neuron. 93(4). 767–776.e6. 94 indexed citations
17.
Yonehara, Keisuke & Botond Roska. (2016). “MAPseq”-uencing Long-Range Neuronal Projections. Neuron. 91(5). 945–947.
18.
Wertz, Adrian, Stuart Trenholm, Keisuke Yonehara, et al.. (2015). Single-cell–initiated monosynaptic tracing reveals layer-specific cortical network modules. Science. 349(6243). 70–74. 146 indexed citations
19.
Yonehara, Keisuke, Michele Fiscella, Antonia Drinnenberg, et al.. (2015). Congenital Nystagmus Gene FRMD7 Is Necessary for Establishing a Neuronal Circuit Asymmetry for Direction Selectivity. Neuron. 89(1). 177–193. 99 indexed citations
20.
Yonehara, Keisuke, Karl Farrow, Alexander Ghanem, et al.. (2013). The First Stage of Cardinal Direction Selectivity Is Localized to the Dendrites of Retinal Ganglion Cells. Neuron. 79(6). 1078–1085. 110 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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