Rie Kimura

971 total citations
20 papers, 396 citations indexed

About

Rie Kimura is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Computer Vision and Pattern Recognition. According to data from OpenAlex, Rie Kimura has authored 20 papers receiving a total of 396 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cellular and Molecular Neuroscience, 12 papers in Cognitive Neuroscience and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Rie Kimura's work include Neural dynamics and brain function (10 papers), Neuroscience and Neuropharmacology Research (7 papers) and Neuroscience and Neural Engineering (4 papers). Rie Kimura is often cited by papers focused on Neural dynamics and brain function (10 papers), Neuroscience and Neuropharmacology Research (7 papers) and Neuroscience and Neural Engineering (4 papers). Rie Kimura collaborates with scholars based in Japan, Germany and China. Rie Kimura's co-authors include Norio Matsuki, Yoko Fujiwara‐Tsukamoto, Akiko Saiki, Yoshikazu Isomura, Yutaka Sakai, Yuji Ikegaya, Takuya Sasaki, Kazuhiro Sohya, Hamid R. Noori and Izumi Ohzawa and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neuroscience.

In The Last Decade

Rie Kimura

20 papers receiving 387 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rie Kimura Japan 12 239 221 69 33 27 20 396
Kelsey Clark United States 13 454 1.9× 213 1.0× 74 1.1× 37 1.1× 24 0.9× 29 636
Michele Ferrante United States 11 304 1.3× 250 1.1× 67 1.0× 39 1.2× 53 2.0× 18 524
Piotr Majka Poland 15 473 2.0× 132 0.6× 72 1.0× 39 1.2× 23 0.9× 32 657
Dino Dvořák United States 12 489 2.0× 346 1.6× 63 0.9× 40 1.2× 19 0.7× 16 603
Rodrigo F. Salazar Switzerland 10 532 2.2× 243 1.1× 55 0.8× 19 0.6× 14 0.5× 11 617
Domenic H. Cerri United States 10 209 0.9× 125 0.6× 41 0.6× 26 0.8× 12 0.4× 15 317
HyungGoo R. Kim United States 9 290 1.2× 166 0.8× 108 1.6× 24 0.7× 19 0.7× 17 372
Maryam Bijanzadeh United States 7 447 1.9× 176 0.8× 38 0.6× 38 1.2× 29 1.1× 8 514
Daigo Takeuchi Japan 10 593 2.5× 415 1.9× 44 0.6× 43 1.3× 22 0.8× 12 713
Chentao Wen Japan 4 122 0.5× 97 0.4× 92 1.3× 21 0.6× 10 0.4× 8 480

Countries citing papers authored by Rie Kimura

Since Specialization
Citations

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

Fields of papers citing papers by Rie Kimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rie Kimura

This figure shows the co-authorship network connecting the top 25 collaborators of Rie Kimura. A scholar is included among the top collaborators of Rie Kimura 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 Rie Kimura. Rie Kimura 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.
Kimura, Rie, Isao Nishiumi, Kazuto Kawakami, et al.. (2024). Prevalence and Transmission Cycle of Avian Pathogens in the Isolated Oceanic Islands of Japan. Ecology and Evolution. 14(12). e70737–e70737. 1 indexed citations
2.
Maekawa, Yoshihide, Rie Kimura, Masato Takeuchi, et al.. (2021). Faunal and genetic studies of mosquitoes on Chichi-jima and Haha-jima, the Ogasawara (Bonin) Islands, Japan. Medical Entomology and Zoology. 72(4). 237–253. 2 indexed citations
3.
Kimura, Rie & Yumiko Yoshimura. (2021). The contribution of low contrast–preferring neurons to information representation in the primary visual cortex after learning. Science Advances. 7(48). eabj9976–eabj9976. 1 indexed citations
4.
Wu, Jianming, et al.. (2020). Implicit Knowledge Injectable Cross Attention Audiovisual Model for Group Emotion Recognition. 827–834. 16 indexed citations
5.
6.
Wang, Yanan, Jianming Wu, Gen Hattori, et al.. (2020). LDNN: Linguistic Knowledge Injectable Deep Neural Network for Group Cohesiveness Understanding. 343–350. 1 indexed citations
7.
Kimura, Rie, et al.. (2019). Neural substrates of sexual arousal are not sex dependent. Proceedings of the National Academy of Sciences. 116(31). 15671–15676. 26 indexed citations
8.
Itokazu, Takahide, Masashi Hasegawa, Rie Kimura, et al.. (2018). Streamlined sensory motor communication through cortical reciprocal connectivity in a visually guided eye movement task. Nature Communications. 9(1). 338–338. 55 indexed citations
9.
Şaylan, Levent, et al.. (2017). Modeling of soil water content for vegetated surface by artificial neural network and adaptive neuro-fuzzy inference system.. 22(3). 37–44. 5 indexed citations
10.
Kimura, Rie, Akiko Saiki, Yoko Fujiwara‐Tsukamoto, Yutaka Sakai, & Yoshikazu Isomura. (2016). Large‐scale analysis reveals populational contributions of cortical spike rate and synchrony to behavioural functions. The Journal of Physiology. 595(1). 385–413. 19 indexed citations
11.
Sasaki, K., Rie Kimura, Taihei Ninomiya, et al.. (2015). Supranormal orientation selectivity of visual neurons in orientation-restricted animals. Scientific Reports. 5(1). 16712–16712. 4 indexed citations
12.
Ebina, Teppei, Kazuhiro Sohya, Itaru Imayoshi, et al.. (2014). 3D Clustering of GABAergic Neurons Enhances Inhibitory Actions on Excitatory Neurons in the Mouse Visual Cortex. Cell Reports. 9(5). 1896–1907. 16 indexed citations
13.
Kimura, Rie, Mir-Shahram Safari, Javad Mirnajafi‐Zadeh, et al.. (2014). Curtailing Effect of Awakening on Visual Responses of Cortical Neurons by Cholinergic Activation of Inhibitory Circuits. Journal of Neuroscience. 34(30). 10122–10133. 21 indexed citations
14.
Saiki, Akiko, et al.. (2014). Different Modulation of Common Motor Information in Rat Primary and Secondary Motor Cortices. PLoS ONE. 9(6). e98662–e98662. 40 indexed citations
15.
Kimura, Rie, Akiko Saiki, Yoko Fujiwara‐Tsukamoto, et al.. (2012). Reinforcing operandum: rapid and reliable learning of skilled forelimb movements by head-fixed rodents. Journal of Neurophysiology. 108(6). 1781–1792. 44 indexed citations
16.
Kimura, Rie, Naoya Takahashi, Atsushi Usami, et al.. (2011). Hippocampal Polysynaptic Computation. Journal of Neuroscience. 31(37). 13168–13179. 8 indexed citations
17.
Kimura, Rie & Norio Matsuki. (2008). Protein kinase CK2 modulates synaptic plasticity by modification of synaptic NMDA receptors in the hippocampus. The Journal of Physiology. 586(13). 3195–3206. 36 indexed citations
18.
Kimura, Rie & Izumi Ohzawa. (2008). Time Course of Cross-Orientation Suppression in the Early Visual Cortex. Journal of Neurophysiology. 101(3). 1463–1479. 13 indexed citations
19.
Koyama, Ryuta, Rieko Muramatsu, Takuya Sasaki, et al.. (2007). A Low-Cost Method for Brain Slice Cultures. Journal of Pharmacological Sciences. 104(2). 191–194. 57 indexed citations
20.
Sasaki, Takuya, et al.. (2006). Integrative spike dynamics of rat CA1 neurons: a multineuronal imaging study. The Journal of Physiology. 574(1). 195–208. 30 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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