Jun Takatoh

1.7k total citations
23 papers, 1.1k citations indexed

About

Jun Takatoh is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Jun Takatoh has authored 23 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cognitive Neuroscience, 10 papers in Cellular and Molecular Neuroscience and 7 papers in Molecular Biology. Recurrent topics in Jun Takatoh's work include Neural dynamics and brain function (12 papers), Neuroscience and Neuropharmacology Research (6 papers) and Neuroscience of respiration and sleep (5 papers). Jun Takatoh is often cited by papers focused on Neural dynamics and brain function (12 papers), Neuroscience and Neuropharmacology Research (6 papers) and Neuroscience of respiration and sleep (5 papers). Jun Takatoh collaborates with scholars based in United States, Japan and Canada. Jun Takatoh's co-authors include Fan Wang, Katsuyasu Sakurai, Bao-Xia Han, Richard Mooney, Xiang Zhou, Shengli Zhao, Anders Nelson, Erica Rodriguez, David M. Schneider and Jinghao Lu and has published in prestigious journals such as Nature, Science and Journal of Clinical Investigation.

In The Last Decade

Jun Takatoh

22 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Takatoh United States 16 483 364 229 208 201 23 1.1k
Bao-Xia Han United States 14 333 0.7× 377 1.0× 187 0.8× 173 0.8× 163 0.8× 17 905
Katsuyasu Sakurai Japan 16 453 0.9× 444 1.2× 369 1.6× 250 1.2× 178 0.9× 28 1.4k
Katsushige Sato Japan 23 412 0.9× 1.1k 3.0× 318 1.4× 302 1.5× 192 1.0× 103 1.6k
Mariela Mitre United States 10 271 0.6× 300 0.8× 206 0.9× 373 1.8× 901 4.5× 11 1.6k
Kevin Yackle United States 10 292 0.6× 270 0.7× 298 1.3× 318 1.5× 126 0.6× 12 980
Mark J. Burish United States 23 497 1.0× 334 0.9× 80 0.3× 123 0.6× 142 0.7× 54 1.5k
Laura A. DeNardo United States 15 653 1.4× 701 1.9× 379 1.7× 196 0.9× 250 1.2× 29 1.5k
Juan F. Montiel Chile 20 473 1.0× 345 0.9× 524 2.3× 43 0.2× 145 0.7× 35 1.5k
John Yeomans Canada 16 326 0.7× 532 1.5× 547 2.4× 77 0.4× 174 0.9× 22 1.2k
Nélina Ramanantsoa France 12 420 0.9× 174 0.5× 380 1.7× 496 2.4× 276 1.4× 20 1.4k

Countries citing papers authored by Jun Takatoh

Since Specialization
Citations

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

Fields of papers citing papers by Jun Takatoh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Takatoh

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Takatoh. A scholar is included among the top collaborators of Jun Takatoh 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 Jun Takatoh. Jun Takatoh 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.
Friedman, Beth, Jun Takatoh, Alexander Groisman, et al.. (2024). CellBoost: A pipeline for machine assisted annotation in neuroanatomy. SHILAP Revista de lepidopterología. 5. 142–154.
2.
Takatoh, Jun, et al.. (2024). Brainstem control of vocalization and its coordination with respiration. Science. 383(6687). eadi8081–eadi8081. 14 indexed citations
3.
Golomb, David, Jeffrey D. Moore, Jun Takatoh, et al.. (2022). Theory of hierarchically organized neuronal oscillator dynamics that mediate rodent rhythmic whisking. Neuron. 110(22). 3833–3851.e22. 9 indexed citations
4.
Takatoh, Jun, Vincent Prevosto, Jinghao Lu, et al.. (2022). The whisking oscillator circuit. Nature. 609(7927). 560–568. 29 indexed citations
5.
Tsai, Nicole, Fei Wang, Kenichi Toma, et al.. (2022). Trans-Seq maps a selective mammalian retinotectal synapse instructed by Nephronectin. Nature Neuroscience. 25(5). 659–674. 47 indexed citations
6.
Lee, Psyche, et al.. (2021). Chronic loss of inhibition in piriform cortex following brief, daily optogenetic stimulation. Cell Reports. 35(3). 109001–109001. 20 indexed citations
7.
Takatoh, Jun, Jinghao Lu, Bao-Xia Han, et al.. (2021). Constructing an adult orofacial premotor atlas in Allen mouse CCF. eLife. 10. 22 indexed citations
8.
Tschida, Katherine, Valerie Michael, Jun Takatoh, et al.. (2019). A Specialized Neural Circuit Gates Social Vocalizations in the Mouse. Neuron. 103(3). 459–472.e4. 116 indexed citations
9.
Lopes, Douglas M., et al.. (2018). Advillin Is Expressed in All Adult Neural Crest-Derived Neurons. eNeuro. 5(5). ENEURO.0077–18.2018. 43 indexed citations
10.
Takatoh, Jun, Vincent Prevosto, & Fan Wang. (2017). Vibrissa Sensory Neurons: Linking Distinct Morphology to Specific Physiology and Function. Neuroscience. 368. 109–114. 10 indexed citations
11.
Takatoh, Jun, Jinghao Lu, Maxime Demers, et al.. (2017). Parallel Inhibitory and Excitatory Trigemino-Facial Feedback Circuitry for Reflexive Vibrissa Movement. Neuron. 95(3). 673–682.e4. 31 indexed citations
12.
Deschênes, Martin, Jun Takatoh, Jeffrey D. Moore, et al.. (2016). Inhibition, Not Excitation, Drives Rhythmic Whisking. Neuron. 90(2). 374–387. 55 indexed citations
13.
Sakurai, Katsuyasu, Shengli Zhao, Jun Takatoh, et al.. (2016). Capturing and Manipulating Activated Neuronal Ensembles with CANE Delineates a Hypothalamic Social-Fear Circuit. Neuron. 92(4). 739–753. 126 indexed citations
14.
Zhang, Yi, Shengli Zhao, Erica Rodriguez, et al.. (2015). Identifying local and descending inputs for primary sensory neurons. Journal of Clinical Investigation. 125(10). 3782–3794. 88 indexed citations
15.
Takatoh, Jun, Anders Nelson, Xiang Zhou, et al.. (2013). New Modules Are Added to Vibrissal Premotor Circuitry with the Emergence of Exploratory Whisking. Neuron. 77(2). 346–360. 88 indexed citations
16.
Sakurai, Katsuyasu, Masahiro Akiyama, Bin Cai, et al.. (2013). The Organization of Submodality-Specific Touch Afferent Inputs in the Vibrissa Column. Cell Reports. 5(1). 87–98. 46 indexed citations
17.
Nelson, Anders, David M. Schneider, Jun Takatoh, et al.. (2013). A Circuit for Motor Cortical Modulation of Auditory Cortical Activity. Journal of Neuroscience. 33(36). 14342–14353. 143 indexed citations
18.
Zhou, Xiang, Jun Takatoh, & Fan Wang. (2011). The Mammalian Class 3 PI3K (PIK3C3) Is Required for Early Embryogenesis and Cell Proliferation. PLoS ONE. 6(1). e16358–e16358. 74 indexed citations
19.
Takatoh, Jun & Kazunori Hanaoka. (2010). Spatially and temporally regulated expression of specific heparan sulfate epitopes in the developing mouse olfactory system. Development Growth & Differentiation. 52(2). 169–180. 1 indexed citations
20.
Takatoh, Jun, et al.. (2008). Loss of short dystrophin isoform Dp71 in olfactory ensheathing cells causes vomeronasal nerve defasciculation in mouse olfactory system. Experimental Neurology. 213(1). 36–47. 12 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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