Makoto Itakura

2.6k citations
81 papers · 2.0k indexed · h-index 26

Impact in

Papers in

Makoto Itakura

80 papers receiving 2.0k citations

Peers

Makoto Itakura
Comparison fields: 5 of 127
  • Cellular and Molecular Neuroscience 870
  • Cell Biology 445
  • Developmental Neuroscience 76
  • Neurology 139
  • Physiology 76
Replace Anna Fassio with:
Anna Fassio Italy
Patrizia D’Adamo Italy
Michael C. Ashby United Kingdom
Camin Dean Germany
Gian Carlo Bellenchi Italy
Clarissa L. Waites United States
Cristina Guatimosim Brazil
Sayaka Takemoto‐Kimura Japan
Ana María López‐Colomé Mexico
Makoto Itakura relative to Anna Fassio Italy Anna Fassio's profile →
Citations per field
00.5×1.6×
Anna Fassio · 1×
Citations per year

Countries citing papers authored by Makoto Itakura

Since Specialization
Citations

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

Fields of papers citing papers by Makoto Itakura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Makoto Itakura, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Makoto Itakura Line = papers co-authored together Makoto Itakura links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20232
3 20233
4 202214
5 20223
6 20202
7 202024
8 201910
9 201914
10 201824
11 20189
12 20179
13 201531
14 20154
15 201115
16 201015
17 2008161
18 200053
19 199640
20 199419

About Makoto Itakura

Makoto Itakura is a scholar working on Cellular and Molecular Neuroscience, Cell Biology, Developmental Neuroscience, Physiology and Molecular Biology, having authored 81 papers that have together received 2.0k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (24 papers), Cellular transport and secretion (21 papers), Lipid Membrane Structure and Behavior (11 papers), Ion channel regulation and function (8 papers), Nerve injury and regeneration (6 papers), Receptor Mechanisms and Signaling (6 papers), Endoplasmic Reticulum Stress and Disease (5 papers) and Neurogenesis and neuroplasticity mechanisms (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (870 citations), Cell Biology (445 citations), Developmental Neuroscience (76 citations), Neurology (139 citations) and Physiology (76 citations). Makoto Itakura has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Masami Takahashi, Ryuichi Shigemoto, Saori Yamamori, Shigehisa Hirose, Masahiko Watanabe, Yoshiaki Shinohara, Hajime Hirase, Hiromi Hagiwara, Masakazu Kataoka and Yugo Fukazawa. Their work appears in journals such as Journal of Biological Chemistry, Biochemical and Biophysical Research Communications, European Journal of Neuroscience, Journal of Neuroscience and BMC Musculoskeletal Disorders.

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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