Makoto Ito

1.5k citations
29 papers · 1.0k indexed · h-index 14
Topics
Neural dynamics and brain function (7 papers)Neural and Behavioral Psychology Studies (7 papers)Neurotransmitter Receptor Influence on Behavior (6 papers)
Partner nations
JapanChina

In The Last Decade

Makoto Ito

27 papers receiving 1.0k citations

Peers

Makoto Ito
Comparison fields: 5 of 98
  • Cognitive Neuroscience 664
  • Radiology, Nuclear Medicine and Imaging 331
  • Cellular and Molecular Neuroscience 262
  • Cardiology and Cardiovascular Medicine 220
  • Biomedical Engineering 137
Replace Kazuhisa Shibata with:
Kazuhisa Shibata Japan
Hillary Schwarb United States
Sara Jahfari Netherlands
Eric Featherstone United Kingdom
Elsa Fouragnan United Kingdom
Arthur T. Stimus United States
Rachel Kelly United States
Maria Laura Blefari Switzerland
Rishi M. Kalwani United States
Makoto Ito relative to Kazuhisa Shibata Japan Kazuhisa Shibata's profile →
Citations per field
00.5×2.5×
Kazuhisa Shibata · 1×
Citations per year

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
#WorkIndexed citations
1 1
2 0
3 33
4 46
5 13
6 5
7 18
8 88
9 30
10 192
11 32
12 18
13 59
14 1
15 25
16 350
17 4
18 1
19 10
20
A Model of the Hippocampus - Neocortex for Episodic Memory
0

About Makoto Ito

Makoto Ito is a scholar working on Cognitive Neuroscience, General Decision Sciences and Cellular and Molecular Neuroscience, having authored 29 papers that have together received 1.0k indexed citations. Recurring topics across this work include Neural dynamics and brain function (7 papers), Neural and Behavioral Psychology Studies (7 papers) and Neurotransmitter Receptor Influence on Behavior (6 papers). The work is most often cited by research in Cognitive Neuroscience (664 citations), Cellular and Molecular Neuroscience (262 citations) and Radiology, Nuclear Medicine and Imaging (331 citations). Makoto Ito has collaborated with scholars based in Japan and China. Frequent co-authors include Kenji Doya, Masahiko Mikuni, Masato Fukuda, Tomohiro Suto, Toru Uehara, Alan S. R. Fermin, Junichiro Yoshimoto, Yuko Sekino, Tomoaki Shirao and Saori Tanaka. Their work appears in journals such as Journal of Neuroscience, Scientific Reports and Biological Psychiatry.

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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