Yohko Takata

601 total citations
10 papers, 457 citations indexed

About

Yohko Takata is a scholar working on Cognitive Neuroscience, Endocrine and Autonomic Systems and Experimental and Cognitive Psychology. According to data from OpenAlex, Yohko Takata has authored 10 papers receiving a total of 457 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cognitive Neuroscience, 5 papers in Endocrine and Autonomic Systems and 3 papers in Experimental and Cognitive Psychology. Recurrent topics in Yohko Takata's work include Sleep and Wakefulness Research (10 papers), Circadian rhythm and melatonin (4 papers) and Neural dynamics and brain function (3 papers). Yohko Takata is often cited by papers focused on Sleep and Wakefulness Research (10 papers), Circadian rhythm and melatonin (4 papers) and Neural dynamics and brain function (3 papers). Yohko Takata collaborates with scholars based in Japan, China and United Kingdom. Yohko Takata's co-authors include Michael Lazarus, Yo Oishi, Yoan Chérasse, Koji Takahashi, Yoshihiro Urade, Zhi‐Li Huang, Wei‐Min Qu, Yoshiaki Suzuki, Takeshi Kanda and Alban de Kerchove d’Exaerde and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and Psychopharmacology.

In The Last Decade

Yohko Takata

10 papers receiving 452 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yohko Takata Japan 10 357 192 152 151 33 10 457
Su-Rong Yang China 10 300 0.8× 166 0.9× 104 0.7× 170 1.1× 29 0.9× 17 438
Janneke C. Zant Finland 8 279 0.8× 143 0.7× 82 0.5× 144 1.0× 25 0.8× 9 349
Jacqueline Vázquez United States 11 267 0.7× 141 0.7× 93 0.6× 154 1.0× 41 1.2× 15 413
Bradley D. Winters United States 9 204 0.6× 114 0.6× 88 0.6× 138 0.9× 30 0.9× 12 360
Jianxia Xia China 11 236 0.7× 175 0.9× 139 0.9× 88 0.6× 16 0.5× 17 303
Giulia Miracca Switzerland 8 440 1.2× 314 1.6× 163 1.1× 217 1.4× 120 3.6× 9 642
Josée Seigneur Canada 9 376 1.1× 105 0.5× 86 0.6× 254 1.7× 18 0.5× 11 482
Sarah Wurts Black United States 9 398 1.1× 287 1.5× 267 1.8× 141 0.9× 21 0.6× 10 522
Jeffrey J. Olney United States 11 162 0.5× 175 0.9× 64 0.4× 161 1.1× 51 1.5× 12 406
Emily M. Stanley United States 10 242 0.7× 63 0.3× 90 0.6× 140 0.9× 32 1.0× 11 379

Countries citing papers authored by Yohko Takata

Since Specialization
Citations

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

Fields of papers citing papers by Yohko Takata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yohko Takata

This figure shows the co-authorship network connecting the top 25 collaborators of Yohko Takata. A scholar is included among the top collaborators of Yohko Takata 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 Yohko Takata. Yohko Takata is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Honda, Takato, Yohko Takata, Yoan Chérasse, et al.. (2020). Ablation of Ventral Midbrain/Pons GABA Neurons Induces Mania-like Behaviors with Altered Sleep Homeostasis and Dopamine D2R-mediated Sleep Reduction. iScience. 23(6). 101240–101240. 10 indexed citations
2.
Takata, Yohko, Yo Oishi, Xuzhao Zhou, et al.. (2018). Sleep and Wakefulness Are Controlled by Ventral Medial Midbrain/Pons GABAergic Neurons in Mice. Journal of Neuroscience. 38(47). 10080–10092. 48 indexed citations
3.
Oishi, Yo, Yoshiaki Suzuki, Koji Takahashi, et al.. (2017). Activation of ventral tegmental area dopamine neurons produces wakefulness through dopamine D2-like receptors in mice. Brain Structure and Function. 222(6). 2907–2915. 95 indexed citations
4.
Oishi, Yo, Qi Xu, Lu Wang, et al.. (2017). Slow-wave sleep is controlled by a subset of nucleus accumbens core neurons in mice. Nature Communications. 8(1). 734–734. 160 indexed citations
6.
Oishi, Yo, et al.. (2016). Polygraphic Recording Procedure for Measuring Sleep in Mice. Journal of Visualized Experiments. e53678–e53678. 43 indexed citations
7.
Takata, Yohko, et al.. (2016). Polygraphic Recording Procedure for Measuring Sleep in Mice. Journal of Visualized Experiments. 11 indexed citations
8.
Wang, Yi‐Qun, Rui Li, Xu Wu, et al.. (2015). Fasting activated histaminergic neurons and enhanced arousal effect of caffeine in mice. Pharmacology Biochemistry and Behavior. 133. 164–173. 10 indexed citations
9.
Wang, Yi‐Qun, Yohko Takata, Rui Li, et al.. (2014). Doxepin and diphenhydramine increased non-rapid eye movement sleep through blockade of histamine H1 receptors. Pharmacology Biochemistry and Behavior. 129. 56–64. 24 indexed citations
10.
Cho, Suengmok, Minseok Yoon, Ae Nim Pae, et al.. (2014). Marine polyphenol phlorotannins promote non-rapid eye movement sleep in mice via the benzodiazepine site of the GABAA receptor. Psychopharmacology. 231(14). 2825–2837. 44 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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