Mio Nonaka

1.8k total citations
23 papers, 1.3k citations indexed

About

Mio Nonaka is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Mio Nonaka has authored 23 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cellular and Molecular Neuroscience, 15 papers in Molecular Biology and 8 papers in Cognitive Neuroscience. Recurrent topics in Mio Nonaka's work include Neuroscience and Neuropharmacology Research (16 papers), Memory and Neural Mechanisms (5 papers) and Neural dynamics and brain function (4 papers). Mio Nonaka is often cited by papers focused on Neuroscience and Neuropharmacology Research (16 papers), Memory and Neural Mechanisms (5 papers) and Neural dynamics and brain function (4 papers). Mio Nonaka collaborates with scholars based in Japan, United States and United Kingdom. Mio Nonaka's co-authors include Haruhiko Bito, Sayaka Takemoto‐Kimura, Hiroyuki Okuno, Takashi Kawashima, Nan Yagishita-Kyo, Kanzo Suzuki, Paul Worley, Aki Adachi-Morishima, Michiko Okamura and Hajime Fujii and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Mio Nonaka

23 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
Mio Nonaka Japan 17 878 698 351 189 140 23 1.3k
Jean-Claude Béïque United States 9 826 0.9× 513 0.7× 274 0.8× 119 0.6× 75 0.5× 10 1.1k
Chae‐Seok Lim South Korea 15 631 0.7× 401 0.6× 370 1.1× 148 0.8× 127 0.9× 37 1.1k
Benjamin J. Hall United States 20 1.1k 1.2× 638 0.9× 364 1.0× 127 0.7× 246 1.8× 36 1.7k
Jerry C. P. Yin United States 21 1.0k 1.2× 758 1.1× 579 1.6× 166 0.9× 157 1.1× 41 1.9k
Henry H.C. Lee United States 17 1.1k 1.3× 891 1.3× 208 0.6× 229 1.2× 109 0.8× 26 1.7k
Ronald F. Paletzki United States 12 1.2k 1.4× 693 1.0× 515 1.5× 80 0.4× 104 0.7× 16 1.7k
M. Isabel Aller Spain 23 834 0.9× 967 1.4× 311 0.9× 84 0.4× 112 0.8× 34 1.6k
Yousheng Jia United States 24 1.0k 1.2× 715 1.0× 424 1.2× 91 0.5× 114 0.8× 35 1.6k
Debabrata Panja Norway 16 725 0.8× 703 1.0× 261 0.7× 110 0.6× 190 1.4× 22 1.5k
David Genoux Switzerland 8 641 0.7× 536 0.8× 308 0.9× 99 0.5× 136 1.0× 8 1.0k

Countries citing papers authored by Mio Nonaka

Since Specialization
Citations

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

Fields of papers citing papers by Mio Nonaka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mio Nonaka

This figure shows the co-authorship network connecting the top 25 collaborators of Mio Nonaka. A scholar is included among the top collaborators of Mio Nonaka 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 Mio Nonaka. Mio Nonaka 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.
Bukalo, Olena, Dipanwita Pati, Aaron Limoges, et al.. (2024). A distinct cortical code for socially learned threat. Nature. 626(8001). 1066–1072. 14 indexed citations
2.
Nonaka, Mio, William W. Taylor, Olena Bukalo, et al.. (2021). Behavioral and Myelin-Related Abnormalities after Blast-Induced Mild Traumatic Brain Injury in Mice. Journal of Neurotrauma. 38(11). 1551–1571. 17 indexed citations
3.
Bukalo, Olena, et al.. (2020). Effects of optogenetic photoexcitation of infralimbic cortex inputs to the basolateral amygdala on conditioned fear and extinction. Behavioural Brain Research. 396. 112913–112913. 24 indexed citations
4.
Glover, Lucas R., et al.. (2020). A prefrontal-bed nucleus of the stria terminalis circuit limits fear to uncertain threat. eLife. 9. 16 indexed citations
5.
Müller, N., Mio Nonaka, Gordon Pipa, et al.. (2018). 2D:4D and spatial abilities: From rats to humans. Neurobiology of Learning and Memory. 151. 85–87. 9 indexed citations
6.
Bergstrom, Hadley C., Courtney R. Pinard, Ozge Gunduz‐Cinar, et al.. (2018). Dorsolateral Striatum Engagement Interferes with Early Discrimination Learning. Cell Reports. 23(8). 2264–2272. 54 indexed citations
7.
Nonaka, Mio, et al.. (2014). Towards a better understanding of cognitive behaviors regulated by gene expression downstream of activity-dependent transcription factors. Neurobiology of Learning and Memory. 115. 21–29. 23 indexed citations
8.
Nonaka, Mio, Ryang Kim, Hotaka Fukushima, et al.. (2014). Region-Specific Activation of CRTC1-CREB Signaling Mediates Long-Term Fear Memory. Neuron. 84(1). 92–106. 77 indexed citations
9.
Kawashima, Takashi, K. Kitamura, Kanzo Suzuki, et al.. (2013). Functional labeling of neurons and their projections using the synthetic activity–dependent promoter E-SARE. Nature Methods. 10(9). 889–895. 143 indexed citations
10.
Okuno, Hiroyuki, Kaori Akashi, Yuichiro Ishii, et al.. (2012). Inverse Synaptic Tagging of Inactive Synapses via Dynamic Interaction of Arc/Arg3.1 with CaMKIIβ. Cell. 149(4). 886–898. 238 indexed citations
11.
Inoue, Masatoshi, Nan Yagishita-Kyo, Mio Nonaka, et al.. (2010). Synaptic Activity Responsive Element (SARE). Communicative & Integrative Biology. 3(5). 443–446. 14 indexed citations
12.
Inoue, Masatoshi, Nan Yagishita-Kyo, Mio Nonaka, et al.. (2010). A unique genomic structure with an unusual sensitivity to neuronal activity. 1 indexed citations
14.
Ageta‐Ishihara, Natsumi, Sayaka Takemoto‐Kimura, Mio Nonaka, et al.. (2009). Control of Cortical Axon Elongation by a GABA-Driven Ca2+/Calmodulin-Dependent Protein Kinase Cascade. Journal of Neuroscience. 29(43). 13720–13729. 79 indexed citations
15.
Kawashima, Takashi, Hiroyuki Okuno, Mio Nonaka, et al.. (2008). Synaptic activity-responsive element in the Arc / Arg3.1 promoter essential for synapse-to-nucleus signaling in activated neurons. Proceedings of the National Academy of Sciences. 106(1). 316–321. 213 indexed citations
16.
Kiyonaka, Shigeki, Minoru Wakamori, Takafumi Miki, et al.. (2007). RIM1 confers sustained activity and neurotransmitter vesicle anchoring to presynaptic Ca2+ channels. Nature Neuroscience. 10(6). 691–701. 185 indexed citations
17.
Takemoto‐Kimura, Sayaka, Natsumi Ageta‐Ishihara, Mio Nonaka, et al.. (2007). Regulation of Dendritogenesis via a Lipid-Raft-Associated Ca2+/Calmodulin-Dependent Protein Kinase CLICK-III/CaMKIγ. Neuron. 54(5). 755–770. 104 indexed citations
18.
Nonaka, Mio, Tomoko Doi, Yoshinori Fujiyoshi, Sayaka Takemoto‐Kimura, & Haruhiko Bito. (2006). Essential Contribution of the Ligand-Binding βB/βC Loop of PDZ1 and PDZ2 in the Regulation of Postsynaptic Clustering, Scaffolding, and Localization of Postsynaptic Density-95. Journal of Neuroscience. 26(3). 763–774. 21 indexed citations
19.
Ohmae, Shogo, Sayaka Takemoto‐Kimura, Michiko Okamura, et al.. (2006). Molecular Identification and Characterization of a Family of Kinases with Homology to Ca2+/Calmodulin-dependent Protein Kinases I/IV. Journal of Biological Chemistry. 281(29). 20427–20439. 29 indexed citations
20.
Inagaki, Hiroshi, Yoichi Kato, Naoki Hamajima, et al.. (2000). Differential expression of dihydropyrimidinase-related protein genes in developing and adult enteric nervous system. Histochemistry and Cell Biology. 113(1). 37–37. 15 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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