Shinya Ikeda

4.1k total citations
102 papers, 3.4k citations indexed

About

Shinya Ikeda is a scholar working on Food Science, Plant Science and Materials Chemistry. According to data from OpenAlex, Shinya Ikeda has authored 102 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Food Science, 35 papers in Plant Science and 15 papers in Materials Chemistry. Recurrent topics in Shinya Ikeda's work include Proteins in Food Systems (47 papers), Polysaccharides Composition and Applications (43 papers) and Polysaccharides and Plant Cell Walls (29 papers). Shinya Ikeda is often cited by papers focused on Proteins in Food Systems (47 papers), Polysaccharides Composition and Applications (43 papers) and Polysaccharides and Plant Cell Walls (29 papers). Shinya Ikeda collaborates with scholars based in Japan, United States and Thailand. Shinya Ikeda's co-authors include Katsuyoshi Nishinari, Victor J. Morris, E. Allen Foegeding, Rungnaphar Pongsawatmanit, Bongkosh Vardhanabhuti, Theeranan Temsiripong, Tomoaki Hagiwara, Takahiro Funami, Qixin Zhong and Shoichi Gohtani and has published in prestigious journals such as Langmuir, Journal of Agricultural and Food Chemistry and Human Molecular Genetics.

In The Last Decade

Shinya Ikeda

98 papers receiving 3.3k citations

Peers

Shinya Ikeda
Comparison fields: 5 of 138
  • Food Science 2.1k
  • Plant Science 813
  • Nutrition and Dietetics 629
  • Molecular Biology 490
  • Biomaterials 414
Replace Saphwan Al‐Assaf with:
Saphwan Al‐Assaf United Kingdom
Anne‐Marie Hermansson Sweden
Harmen H. J. de Jongh Netherlands
S.B. Ross-Murphy United Kingdom
Paul Venema Netherlands
Yiping Cao China
I.C.M. Dea United Kingdom
Stephan Handschin Switzerland
V. Ya. Grinberg Russia
Srinivasan Damodaran United States
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Citations per field, relative to Shinya Ikeda
Shinya Ikeda · 1×
Citations per year, relative to Shinya Ikeda
Shinya Ikeda · 1×

Countries citing papers authored by Shinya Ikeda

Since Specialization
Citations

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

Fields of papers citing papers by Shinya Ikeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shinya Ikeda

This figure shows the co-authorship network connecting the top 25 collaborators of Shinya Ikeda. A scholar is included among the top collaborators of Shinya Ikeda 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 Shinya Ikeda. Shinya Ikeda 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 2
2 2
3 2
4 1
5 5
6 3
7 15
8 2
9 5
10 21
11 14
12 23
13 13
14 9
15 4
16 32
17 19
18 86
19 24
20 11

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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