M. Ito

1.1k total citations
30 papers, 873 citations indexed

About

M. Ito is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Immunology. According to data from OpenAlex, M. Ito has authored 30 papers receiving a total of 873 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cellular and Molecular Neuroscience, 7 papers in Cognitive Neuroscience and 6 papers in Immunology. Recurrent topics in M. Ito's work include Neural dynamics and brain function (6 papers), Neuroscience and Neuropharmacology Research (5 papers) and Visual perception and processing mechanisms (4 papers). M. Ito is often cited by papers focused on Neural dynamics and brain function (6 papers), Neuroscience and Neuropharmacology Research (5 papers) and Visual perception and processing mechanisms (4 papers). M. Ito collaborates with scholars based in Japan, United States and United Kingdom. M. Ito's co-authors include John Olds, Shinichi Hayashi, T Sudo, Yoshihiro Ogawa, Kazumi Sakai, Hiroaki Kodama, Takahiro Kunisada, Minetaro Ogawa, M Iizuka and S Nishikawa and has published in prestigious journals such as The Journal of Experimental Medicine, Blood and The Journal of Immunology.

In The Last Decade

M. Ito

27 papers receiving 835 citations

Peers

M. Ito
Comparison fields: 5 of 115
  • Cognitive Neuroscience 327
  • Cellular and Molecular Neuroscience 300
  • Immunology 222
  • Molecular Biology 133
  • Hematology 66
Replace Yoshinori Yamakawa with:
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Daisuke Hirano Japan
Geir Skeie Norway
Andrew R. Gilbert United States
Ayaka Sugiura United States
Chiara Cerri Italy
Jessica R. Newton United States
Carolina Blaya Brazil
Nancy González United States
Yoshinori Yamakawa Japan View profile →
Citations per field, relative to M. Ito
M. Ito · 1×
Citations per year, relative to M. Ito
M. Ito · 1×

Countries citing papers authored by M. Ito

Since Specialization
Citations

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

Fields of papers citing papers by M. Ito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Ito

This figure shows the co-authorship network connecting the top 25 collaborators of M. Ito. A scholar is included among the top collaborators of M. 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 M. Ito. M. 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
# Work Indexed citations
1 0
2 0
3 0
4 53
5 5
6 14
7 21
8 45
9 34
10
[A case of benign cephalic histiocytosis].
1
11 190
12 65
13
Modification of rubral cell activity underlies associative conditioning induced by paired stimulation of corticorubral fibers and locus coeruleus
1
14 10
15 83
16
[The anatomical study on the branches of the femoral artery (II). Comparison with the findings of Adachi's classification].
11
17 54
18 7
19 3
20 33

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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