Makoto Usuda

88 total papers · 1.0k total citations
42 papers, 858 citations indexed

About

Makoto Usuda is a scholar working on Biomaterials, Mechanics of Materials and Biomedical Engineering. According to data from OpenAlex, Makoto Usuda has authored 42 papers receiving a total of 858 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Biomaterials, 15 papers in Mechanics of Materials and 10 papers in Biomedical Engineering. Recurrent topics in Makoto Usuda's work include Advanced Cellulose Research Studies (19 papers), Material Properties and Processing (15 papers) and Lignin and Wood Chemistry (9 papers). Makoto Usuda is often cited by papers focused on Advanced Cellulose Research Studies (19 papers), Material Properties and Processing (15 papers) and Lignin and Wood Chemistry (9 papers). Makoto Usuda collaborates with scholars based in Japan, United States and Slovakia. Makoto Usuda's co-authors include Akira Isogai, Rajai H. Atalla, Fumihiko Onabe, Qiang Cai, Takashi Kato, Toshiyuki Uryu, Makoto Hasegawa, Shigenori Kuga, Junzö Nakano and Minoru Kimura and has published in prestigious journals such as Macromolecules, Environmental Health Perspectives and Journal of Applied Polymer Science.

In The Last Decade

Makoto Usuda

35 papers receiving 810 citations

Author Peers

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

Author Last Decade Papers Cites
Makoto Usuda 688 341 144 124 55 42 858
Chihiro Yamane 746 1.1× 431 1.3× 127 0.9× 125 1.0× 46 0.8× 52 967
H. J. Purz 819 1.2× 425 1.2× 116 0.8× 214 1.7× 85 1.5× 29 1.0k
Malin Bergenstråhle‐Wohlert 695 1.0× 456 1.3× 237 1.6× 125 1.0× 69 1.3× 25 1.0k
Peter Weigel 794 1.2× 414 1.2× 82 0.6× 228 1.8× 83 1.5× 38 998
Elina Niinivaara 616 0.9× 257 0.8× 137 1.0× 96 0.8× 26 0.5× 21 767
Daisuke Tatsumi 616 0.9× 378 1.1× 159 1.1× 93 0.8× 25 0.5× 64 865
Keisuke Kowsaka 617 0.9× 404 1.2× 110 0.8× 102 0.8× 66 1.2× 23 781
Lanfeng Hui 317 0.5× 547 1.6× 110 0.8× 185 1.5× 46 0.8× 50 851
Na Liu 694 1.0× 361 1.1× 168 1.2× 114 0.9× 26 0.5× 28 967
Tobias Köhnke 736 1.1× 480 1.4× 194 1.3× 131 1.1× 76 1.4× 32 1.0k

Countries citing papers authored by Makoto Usuda

Since Specialization
Citations

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

Fields of papers citing papers by Makoto Usuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Makoto Usuda

This figure shows the co-authorship network connecting the top 25 collaborators of Makoto Usuda. A scholar is included among the top collaborators of Makoto Usuda 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 Makoto Usuda. Makoto Usuda 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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