Shigeru Utsumi

7.6k citations
164 papers · 6.0k indexed · h-index 42
Topics
Phytase and its Applications (60 papers)Proteins in Food Systems (55 papers)Enzyme Production and Characterization (36 papers)
Partner nations
JapanPhilippinesMexico

In The Last Decade

Shigeru Utsumi

163 papers receiving 5.8k citations

Peers

Shigeru Utsumi
Comparison fields: 5 of 113
  • Food Science 2.8k
  • Plant Science 2.2k
  • Molecular Biology 2.2k
  • Biotechnology 1.2k
  • Nutrition and Dietetics 1.2k
Replace Nobuyuki Maruyama with:
Nobuyuki Maruyama Japan
Alfonso Clemente Spain
Jean‐Marc Chobert France
Gianluca Picariello Italy
Rosina López‐Fandiño Spain
Gianfranco Mamone Italy
Lawrence K. Creamer New Zealand
Árpád Pusztai United Kingdom
Francesco Addeo Italy
Naofumi Kitabatake Japan
Shigeru Utsumi relative to Nobuyuki Maruyama Japan Nobuyuki Maruyama's profile →
Citations per field
00.5×1.5×2.5×
Nobuyuki Maruyama · 1×
Citations per year

Countries citing papers authored by Shigeru Utsumi

Since Specialization
Citations

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

Fields of papers citing papers by Shigeru Utsumi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shigeru Utsumi

This figure shows the co-authorship network connecting the top 25 collaborators of Shigeru Utsumi. A scholar is included among the top collaborators of Shigeru Utsumi 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 Shigeru Utsumi. Shigeru Utsumi 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
#WorkIndexed citations
1 6
2 18
3 4
4 10
5
Identification of genes controlling the contents of seed storage proteins in soybean - identification and functional analysis of the quantitative trait locus qPro1.
1
6 16
7 4
8 44
9 35
10 16
11 10
12 81
13 31
14 30
15 63
16 15
17 7
18 104
19 49
20 50

About Shigeru Utsumi

Shigeru Utsumi is a scholar working on Biotechnology, Food Science and Plant Science, having authored 164 papers that have together received 6.0k indexed citations. Recurring topics across this work include Phytase and its Applications (60 papers), Proteins in Food Systems (55 papers) and Enzyme Production and Characterization (36 papers). The work is most often cited by research in Food Science (2.8k citations), Biotechnology (1.2k citations) and Immunology and Allergy (685 citations). Shigeru Utsumi has collaborated with scholars based in Japan, Philippines and Mexico. Frequent co-authors include Nobuyuki Maruyama, Motoyasu Adachi, Tomohiko Mori, Bunzo Mikami, John Kinsella, Makoto Kito, Tomoyuki Katsube, Takashi Nakamura, Fumio Takaiwa and Takako Fukuda. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Plant Cell.

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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