Akira Itô

22.0k total citations · 2 hit papers
565 papers, 17.7k citations indexed

About

Akira Itô is a scholar working on Molecular Biology, Biomedical Engineering and Immunology. According to data from OpenAlex, Akira Itô has authored 565 papers receiving a total of 17.7k indexed citations (citations by other indexed papers that have themselves been cited), including 203 papers in Molecular Biology, 91 papers in Biomedical Engineering and 56 papers in Immunology. Recurrent topics in Akira Itô's work include 3D Printing in Biomedical Research (35 papers), Protease and Inhibitor Mechanisms (33 papers) and Tissue Engineering and Regenerative Medicine (26 papers). Akira Itô is often cited by papers focused on 3D Printing in Biomedical Research (35 papers), Protease and Inhibitor Mechanisms (33 papers) and Tissue Engineering and Regenerative Medicine (26 papers). Akira Itô collaborates with scholars based in Japan, United States and China. Akira Itô's co-authors include Hiroyuki Honda, Takeshi Kobayashi, Takashi Sato, Masashige Shinkai, Yo Mori, Masamichi Kamihira, Hideaki Nagase, Yoshinori Kawabe, Minoru Ueda and Masamichi Yano and has published in prestigious journals such as Science, New England Journal of Medicine and Proceedings of the National Academy of Sciences.

In The Last Decade

Akira Itô

534 papers receiving 17.0k citations

Hit Papers

Medical application of functionalized magnetic nanoparticles 2005 2026 2012 2019 2005 2008 250 500 750 1000

Peers

Akira Itô
Comparison fields: 5 of 195
  • Molecular Biology 5.8k
  • Biomedical Engineering 4.1k
  • Biomaterials 2.7k
  • Surgery 1.5k
  • Immunology 1.5k
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Citations per field, relative to Akira Itô
Akira Itô · 1×
Citations per year, relative to Akira Itô
Akira Itô · 1×

Countries citing papers authored by Akira Itô

Since Specialization
Citations

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

Fields of papers citing papers by Akira Itô

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akira Itô

This figure shows the co-authorship network connecting the top 25 collaborators of Akira Itô. A scholar is included among the top collaborators of Akira Itô 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 Akira Itô. Akira Itô 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 1
2 1
3 6
4 3
5 0
6 8
7 11
8 11
9 2
10 56
11
Model predictive control of car storage battery in HEMS considered car traveling
8
12 5
13 37
14 1
15
Sensing Two-Way Three Heads are Better than Two
1
16
Two-Photon Absorption Measurements in PDA (12, 8) Waveguides
0
17
Multiple access-type satellite packet network (MASPnet) - An experiment for a 'LAN type' wide area network
0
18 38
19
The mode of active protection against Hymenolepis nana reinfection in mice inoculated with different doses of shell-free eggs.
17
20
Experimental Study on Neural Control of Renin Release
1

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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