Masateru Ito

30 total papers · 825 total citations
23 papers, 682 citations indexed

About

Masateru Ito is a scholar working on Mechanical Engineering, Biomedical Engineering and Materials Chemistry. According to data from OpenAlex, Masateru Ito has authored 23 papers receiving a total of 682 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Mechanical Engineering, 6 papers in Biomedical Engineering and 6 papers in Materials Chemistry. Recurrent topics in Masateru Ito's work include Membrane Separation and Gas Transport (6 papers), Membrane Separation Technologies (5 papers) and Origins and Evolution of Life (3 papers). Masateru Ito is often cited by papers focused on Membrane Separation and Gas Transport (6 papers), Membrane Separation Technologies (5 papers) and Origins and Evolution of Life (3 papers). Masateru Ito collaborates with scholars based in Japan, Türkiye and Spain. Masateru Ito's co-authors include Tsuneomi Kawasaki, Kenso Soai, Easan Sivaniah, Daisuke Yamaguchi, Kenta Suzuki, Andrew Gibbons, Detao Qin, Kōichiro Tanaka, Daisuke Yamamoto and Behnam Ghalei and has published in prestigious journals such as Nature, Science and Nature Communications.

In The Last Decade

Masateru Ito

23 papers receiving 668 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Masateru Ito 202 186 149 135 123 23 682
Indrajit Paul 29 0.1× 113 0.6× 86 0.6× 170 1.3× 22 0.2× 47 579
Cik Rohaida Che Hak 93 0.5× 88 0.5× 252 1.7× 249 1.8× 13 0.1× 17 661
Brian D. Adamson 21 0.1× 103 0.6× 93 0.6× 162 1.2× 214 1.7× 18 669
Bruno C. Batista 105 0.5× 119 0.6× 42 0.3× 106 0.8× 38 0.3× 37 603
Ali Salehi‐Reyhani 27 0.1× 433 2.3× 337 2.3× 40 0.3× 45 0.4× 25 715
Mark Moran 19 0.1× 40 0.2× 79 0.5× 341 2.5× 106 0.9× 20 646
Minjeong Cha 16 0.1× 269 1.4× 109 0.7× 283 2.1× 102 0.8× 19 783
P. García Parejo 74 0.4× 149 0.8× 25 0.2× 208 1.5× 46 0.4× 25 586
Gerrick E. Lindberg 24 0.1× 255 1.4× 115 0.8× 94 0.7× 141 1.1× 33 726
Miriam Unger 16 0.1× 175 0.9× 88 0.6× 129 1.0× 47 0.4× 38 755

Countries citing papers authored by Masateru Ito

Since Specialization
Citations

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

Fields of papers citing papers by Masateru Ito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masateru Ito

This figure shows the co-authorship network connecting the top 25 collaborators of Masateru Ito. A scholar is included among the top collaborators of Masateru 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 Masateru Ito. Masateru Ito is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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