Seiitiro Utida

1.4k citations
33 papers · 1.3k · h-index 19

Impact in

    • Aquaculture Nutrition and Growth
    • Fish Biology and Ecology Studies
  • Physiology top 1%
    • Reproductive biology and impacts on aquatic species

Papers in

    • Aquaculture Nutrition and Growth 18
    • Fish Biology and Ecology Studies 2
    • Physiological and biochemical adaptations 16

Seiitiro Utida

32 papers receiving 1.1k citations

Peers

Seiitiro Utida
Comparison fields: 5 of 101
  • Aquatic Science 776
  • Physiology 253
  • Ecology 793
  • Nature and Landscape Conservation 237
  • Immunology 169
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I. CHESTER JONES United Kingdom
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A.J. Matty United Kingdom
Mikio OGURI Japan
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Citations per field
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I. CHESTER JONES · 1×
Citations per year

Countries citing papers authored by Seiitiro Utida

Since Specialization
Citations

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

Fields of papers citing papers by Seiitiro Utida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Seiitiro Utida, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Seiitiro Utida Line = papers co-authored together Seiitiro Utida links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1970170
2 1968119
3 197192
4 196879
5 197279
6 196878
7 196776
8 196960
9 197349
10 197648
11 197246
12 196739
13 197135
14 197134
15 197032
16 195529
17 197323
18 197623
19 196818
20 196718

About Seiitiro Utida

Seiitiro Utida is a scholar working on Aquatic Science, Ecology, Physiology, Molecular Biology and Immunology, having authored 33 papers that have together received 1.3k indexed citations. Recurring topics across this work include Aquaculture Nutrition and Growth (18 papers), Physiological and biochemical adaptations (16 papers), Reproductive biology and impacts on aquatic species (14 papers), Aquaculture disease management and microbiota (4 papers), Genetic diversity and population structure (2 papers), Fish Biology and Ecology Studies (2 papers), Animal Nutrition and Physiology (2 papers) and Mitochondrial Function and Pathology (2 papers). The work is most often cited by research in Aquatic Science (776 citations), Physiology (253 citations), Ecology (793 citations), Nature and Landscape Conservation (237 citations) and Immunology (169 citations). Seiitiro Utida has collaborated with scholars based in Japan, United States and Russia. Frequent co-authors include Mie Kamiya, Tetsuya Hirano, Momoko Oide, Tatsuya Hirano, Masaaki Ando, Donald W. Johnson, Howard A. Bern, Mitsuharu Morisawa, Masahiko Satou and Tadahaya Mizuno. Their work appears in journals such as General and Comparative Endocrinology, Marine Biology, Journal of Endocrinology, Experimental Cell Research and The Journal of Biochemistry.

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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