Tadashi Ino

1.4k citations
49 papers · 1.1k indexed · h-index 20
Topics
Memory and Neural Mechanisms (9 papers)Neuroscience and Neuropharmacology Research (6 papers)X-ray Diffraction in Crystallography (5 papers)

In The Last Decade

Tadashi Ino

48 papers receiving 1.0k citations

Peers

Tadashi Ino
Comparison fields: 5 of 116
  • Cognitive Neuroscience 478
  • Materials Chemistry 216
  • Cellular and Molecular Neuroscience 196
  • Electrical and Electronic Engineering 111
  • Psychiatry and Mental health 91
Replace Keiichiro Watanabe with:
Keiichiro Watanabe Japan
M. Spitzer Germany
Martin Kanowski Germany
John Strupp United States
Robert W. Reynolds United States
Amanda Parker United Kingdom
Marco Piccirelli Switzerland
J. P. Bourgeois France
Song Lai United States
Martina F. Callaghan United Kingdom
Tadashi Ino relative to Keiichiro Watanabe Japan Keiichiro Watanabe's profile →
Citations per field
00.5×1.7×
Keiichiro Watanabe · 1×
Citations per year

Countries citing papers authored by Tadashi Ino

Since Specialization
Citations

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

Fields of papers citing papers by Tadashi Ino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tadashi Ino

This figure shows the co-authorship network connecting the top 25 collaborators of Tadashi Ino. A scholar is included among the top collaborators of Tadashi Ino 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 Tadashi Ino. Tadashi Ino 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 8
2 35
3 34
4 10
5 11
6 21
7 3
8 3
9 33
10 70
11 7
12 62
13 92
14 15
15 12
16 20
17 35
18 22
19 30
20 19

About Tadashi Ino

Tadashi Ino is a scholar working on Cognitive Neuroscience, Developmental Neuroscience and Cellular and Molecular Neuroscience, having authored 49 papers that have together received 1.1k indexed citations. Recurring topics across this work include Memory and Neural Mechanisms (9 papers), Neuroscience and Neuropharmacology Research (6 papers) and X-ray Diffraction in Crystallography (5 papers). The work is most often cited by research in Cognitive Neuroscience (478 citations), Cellular and Molecular Neuroscience (196 citations) and Developmental Neuroscience (32 citations). Tadashi Ino has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Hidenao Fukuyama, Tōru Kimura, Jiro Kakinoki, Y. Komura, Noboru Mizuno, Ryusuke Nakai, Jin Ito, Takashi Azuma, Hiroto Kamiya and Kazuo Itoh. Their work appears in journals such as The Journal of Chemical Physics, The Journal of Comparative Neurology and Carbon.

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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