Makoto Ito

1.5k total citations
29 papers, 1.0k citations indexed

About

Makoto Ito is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Makoto Ito has authored 29 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cognitive Neuroscience, 8 papers in Cellular and Molecular Neuroscience and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Makoto Ito's work include Neural dynamics and brain function (7 papers), Neural and Behavioral Psychology Studies (7 papers) and Neurotransmitter Receptor Influence on Behavior (6 papers). Makoto Ito is often cited by papers focused on Neural dynamics and brain function (7 papers), Neural and Behavioral Psychology Studies (7 papers) and Neurotransmitter Receptor Influence on Behavior (6 papers). Makoto Ito collaborates with scholars based in Japan and China. Makoto Ito's co-authors include Kenji Doya, Masahiko Mikuni, Masato Fukuda, Tomohiro Suto, Toru Uehara, Alan S. R. Fermin, Junichiro Yoshimoto, Yuko Sekino, Masaki Kameyama and Saori Tanaka and has published in prestigious journals such as Journal of Neuroscience, Scientific Reports and Biological Psychiatry.

In The Last Decade

Makoto Ito

27 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Makoto Ito Japan 14 664 331 262 220 137 29 1.0k
Phetsamone Vannasing Canada 22 709 1.1× 403 1.2× 101 0.4× 73 0.3× 279 2.0× 55 1.1k
Kazuhisa Shibata Japan 19 1.4k 2.0× 152 0.5× 159 0.6× 87 0.4× 54 0.4× 42 1.5k
Hillary Schwarb United States 23 1.0k 1.6× 632 1.9× 117 0.4× 93 0.4× 333 2.4× 40 1.7k
Maria Laura Blefari Switzerland 7 1.2k 1.7× 164 0.5× 196 0.7× 166 0.8× 156 1.1× 10 1.4k
Takahiro Osada Japan 17 968 1.5× 301 0.9× 186 0.7× 31 0.1× 72 0.5× 41 1.2k
Rachel Kelly United States 9 728 1.1× 299 0.9× 204 0.8× 30 0.1× 42 0.3× 11 1.3k
Shugo Suwazono Japan 13 918 1.4× 103 0.3× 134 0.5× 33 0.1× 100 0.7× 49 1.2k
Domenica Veniero Italy 25 2.0k 3.1× 142 0.4× 310 1.2× 42 0.2× 165 1.2× 46 2.5k
Anna Floyer-Lea United Kingdom 6 881 1.3× 206 0.6× 270 1.0× 34 0.2× 225 1.6× 6 1.3k
Mathijs Raemaekers Netherlands 25 1.3k 1.9× 402 1.2× 190 0.7× 33 0.1× 36 0.3× 64 1.6k

Countries citing papers authored by Makoto Ito

Since Specialization
Citations

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

Fields of papers citing papers by Makoto Ito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Makoto Ito

This figure shows the co-authorship network connecting the top 25 collaborators of Makoto Ito. A scholar is included among the top collaborators of Makoto Ito 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 Makoto Ito. Makoto Ito 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.
Tada, Noriko, Akira Nagano, Satoru Tanaka, et al.. (2024). Challenge for multifaceted data acquisition around active volcanoes using uncrewed surface vessel. Frontiers in Marine Science. 11. 1 indexed citations
2.
3.
Ito, Makoto, et al.. (2018). Reward-Predictive Neural Activities in Striatal Striosome Compartments. eNeuro. 5(1). ENEURO.0367–17.2018. 33 indexed citations
4.
Fermin, Alan S. R., et al.. (2016). Model-based action planning involves cortico-cerebellar and basal ganglia networks. Scientific Reports. 6(1). 31378–31378. 46 indexed citations
5.
Ito, Makoto & Kenji Doya. (2015). Parallel Representation of Value-Based and Finite State-Based Strategies in the Ventral and Dorsal Striatum. PLoS Computational Biology. 11(11). e1004540–e1004540. 13 indexed citations
6.
Ito, Makoto, et al.. (2015). Condition interference in rats performing a choice task with switched variable- and fixed-reward conditions. Frontiers in Neuroscience. 9. 27–27. 5 indexed citations
7.
Ito, Makoto, et al.. (2012). Uncertainty in action‐value estimation affects both action choice and learning rate of the choice behaviors of rats. European Journal of Neuroscience. 35(7). 1180–1189. 18 indexed citations
8.
Ito, Makoto & Kenji Doya. (2011). Multiple representations and algorithms for reinforcement learning in the cortico-basal ganglia circuit. Current Opinion in Neurobiology. 21(3). 368–373. 88 indexed citations
9.
Fermin, Alan S. R., et al.. (2010). Evidence for Model-Based Action Planning in a Sequential Finger Movement Task. Journal of Motor Behavior. 42(6). 371–379. 30 indexed citations
10.
Ito, Makoto & Kenji Doya. (2009). Validation of Decision-Making Models and Analysis of Decision Variables in the Rat Basal Ganglia. Journal of Neuroscience. 29(31). 9861–9874. 192 indexed citations
11.
Ito, Makoto, Tomoaki Shirao, Kenji Doya, & Yuko Sekino. (2009). Three-dimensional distribution of Fos-positive neurons in the supramammillary nucleus of the rat exposed to novel environment. Neuroscience Research. 64(4). 397–402. 32 indexed citations
12.
Uehara, Toru, Masato Fukuda, Makoto Ito, et al.. (2007). Cerebral blood volume changes in patients with eating disorders during word fluency: a preliminary study using multi-channel near infrared spectroscopy. Eating and Weight Disorders - Studies on Anorexia Bulimia and Obesity. 12(4). 183–190. 18 indexed citations
13.
Sato, Toshimasa, Makoto Ito, Tomohiro Suto, et al.. (2007). Time courses of brain activation and their implications for function: A multichannel near-infrared spectroscopy study during finger tapping. Neuroscience Research. 58(3). 297–304. 59 indexed citations
14.
Ito, Makoto, et al.. (2005). A Study of Visual Attention System Based on Recognition Feedback for Image Sequence. Machine Vision and Applications. 20(1). 156–159. 1 indexed citations
15.
Ito, Makoto, Masato Fukuda, Tomohiro Suto, Toru Uehara, & Masahiko Mikuni. (2005). Increased and Decreased Cortical Reactivities in Novelty Seeking and Persistence. Neuropsychobiology. 52(1). 45–54. 25 indexed citations
16.
Suto, Tomohiro, Masato Fukuda, Makoto Ito, Toru Uehara, & Masahiko Mikuni. (2003). Multichannel near-infrared spectroscopy in depression and schizophrenia: cognitive brain activation study. Biological Psychiatry. 55(5). 501–511. 350 indexed citations
17.
Ito, Makoto, et al.. (2003). A neural network model of memory system using hippocampus. Electronics and Communications in Japan (Part III Fundamental Electronic Science). 86(6). 86–97. 4 indexed citations
18.
Yoshioka, Taku, et al.. (2002). A neural visualization method for WWW document clusters. 3. 2270–2275. 1 indexed citations
19.
Kikuchi, Senichiro, et al.. (2000). Ictal brain hemodynamics in the epileptic focus caused by a brain tumor using functional magnetic resonance imaging (fMRI). Seizure. 9(8). 585–589. 10 indexed citations
20.
Ito, Makoto, et al.. (1998). A Model of the Hippocampus - Neocortex for Episodic Memory. International Conference on Neural Information Processing. 431–434.

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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