Makoto Ueda

113 total papers · 1.2k total citations
74 papers, 898 citations indexed

About

Makoto Ueda is a scholar working on Molecular Biology, Biochemistry and Materials Chemistry. According to data from OpenAlex, Makoto Ueda has authored 74 papers receiving a total of 898 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 11 papers in Biochemistry and 10 papers in Materials Chemistry. Recurrent topics in Makoto Ueda's work include Amino Acid Enzymes and Metabolism (10 papers), Enzyme Catalysis and Immobilization (9 papers) and Enzyme Structure and Function (8 papers). Makoto Ueda is often cited by papers focused on Amino Acid Enzymes and Metabolism (10 papers), Enzyme Catalysis and Immobilization (9 papers) and Enzyme Structure and Function (8 papers). Makoto Ueda collaborates with scholars based in Japan, Sri Lanka and Switzerland. Makoto Ueda's co-authors include Toshio Imai, Hisaaki Mihara, Nobuyoshi Esaki, Yasuhisa Asano, Hisashi Muramatsu, Masao Hirose, Tatsuo Kurihara, Michiko Oka, Ryo Kakutani and Yasumasa Dekishima and has published in prestigious journals such as Journal of Biological Chemistry, Applied and Environmental Microbiology and Journal of Agricultural and Food Chemistry.

In The Last Decade

Makoto Ueda

67 papers receiving 875 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 Ueda 453 108 98 92 83 74 898
Yuzo Yoshida 568 1.3× 114 1.1× 51 0.5× 21 0.2× 58 0.7× 37 941
Günther Weitzel 481 1.1× 101 0.9× 190 1.9× 30 0.3× 13 0.2× 108 1.0k
G. H. THOMAS 348 0.8× 61 0.6× 179 1.8× 37 0.4× 26 0.3× 67 934
Marialuisa Piccolo 382 0.8× 27 0.3× 156 1.6× 52 0.6× 36 0.4× 42 960
Woo Yong Park 369 0.8× 36 0.3× 64 0.7× 18 0.2× 17 0.2× 46 773
Hala Attia 232 0.5× 45 0.4× 20 0.2× 76 0.8× 24 0.3× 49 769
Ying Zhao 355 0.8× 21 0.2× 62 0.6× 26 0.3× 14 0.2× 60 932
R Sotníková 274 0.6× 99 0.9× 51 0.5× 34 0.4× 8 0.1× 73 960
Ryozo Koshiura 449 1.0× 55 0.5× 157 1.6× 8 0.1× 53 0.6× 77 945
Yohtalou Tashima 663 1.5× 97 0.9× 10 0.1× 93 1.0× 55 0.7× 56 1.0k

Countries citing papers authored by Makoto Ueda

Since Specialization
Citations

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

Fields of papers citing papers by Makoto Ueda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Makoto Ueda

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