Makoto Takemasa

31 total papers · 506 total citations
19 papers, 346 citations indexed

About

Makoto Takemasa is a scholar working on Food Science, Plant Science and Nutrition and Dietetics. According to data from OpenAlex, Makoto Takemasa has authored 19 papers receiving a total of 346 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Food Science, 8 papers in Plant Science and 5 papers in Nutrition and Dietetics. Recurrent topics in Makoto Takemasa's work include Polysaccharides Composition and Applications (9 papers), Polysaccharides and Plant Cell Walls (7 papers) and Proteins in Food Systems (6 papers). Makoto Takemasa is often cited by papers focused on Polysaccharides Composition and Applications (9 papers), Polysaccharides and Plant Cell Walls (7 papers) and Proteins in Food Systems (6 papers). Makoto Takemasa collaborates with scholars based in Japan, China and France. Makoto Takemasa's co-authors include Katsuyoshi Nishinari, Akio Chiba, Munehiro Date, Keiko Katsuta, Yapeng Fang, Yoshiaki Yuguchi, Shinichi Kitamura, Yoko Nitta, Hikaru Satoh and Yapeng Fang and has published in prestigious journals such as The Journal of Physical Chemistry B, Macromolecules and Langmuir.

In The Last Decade

Makoto Takemasa

19 papers receiving 336 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 Takemasa 195 122 89 55 43 19 346
Madoka Hirashima 198 1.0× 136 1.1× 160 1.8× 7 0.1× 49 1.1× 12 379
Graham R. Chilvers 215 1.1× 160 1.3× 60 0.7× 67 1.2× 39 0.9× 13 347
T. Turquois 204 1.0× 161 1.3× 36 0.4× 61 1.1× 57 1.3× 13 330
Abdelkader Hadjsadok 245 1.3× 70 0.6× 52 0.6× 28 0.5× 31 0.7× 23 343
Daniele Maria Alves Teixeira Sá 168 0.9× 160 1.3× 70 0.8× 134 2.4× 41 1.0× 31 379
Per Muhrbeck 256 1.3× 80 0.7× 250 2.8× 42 0.8× 46 1.1× 12 358
Cynthia Fontes‐Candia 197 1.0× 45 0.4× 51 0.6× 52 0.9× 103 2.4× 16 351
Xiangxiang He 84 0.4× 88 0.7× 94 1.1× 17 0.3× 105 2.4× 25 361
Huang Long 258 1.3× 151 1.2× 80 0.9× 11 0.2× 44 1.0× 9 353
Tomáš Taubner 46 0.2× 75 0.6× 34 0.4× 63 1.1× 73 1.7× 23 320

Countries citing papers authored by Makoto Takemasa

Since Specialization
Citations

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

Fields of papers citing papers by Makoto Takemasa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Makoto Takemasa

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