Seiitiro Utida
Impact in
- Aquatic Science top 0.5%
- 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
- Ecology 16
- Physiological and biochemical adaptations 15
- Co-authors
- Mie Kamiya (6 shared papers)Tetsuya Hirano (7 shared papers)Momoko Oide (2 shared papers)Donald W. Johnson (3 shared papers)Howard A. Bern (2 shared papers)Tatsuya Hirano (2 shared papers)Masaaki Ando (2 shared papers)Masahiko Satou (1 shared paper)
- Journals
- General and Comparative Endocrinology (4 papers)Marine Biology (2 papers)Journal of Endocrinology (2 papers)Cell and Tissue Research (1 paper)Nature (1 paper)
- Partner nations
- JapanUnited StatesRussia
In The Last Decade
Seiitiro Utida
31 papers receiving 998 citations
Peers
Comparison fields: 5 of 100
- Aquatic Science 693
- Physiology 221
- Ecology 694
- Nature and Landscape Conservation 201
- Immunology 157
Countries citing papers authored by Seiitiro Utida
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
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.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1970 | 158 | |
| 2 | 1968 | 109 | |
| 3 | 1971 | 85 | |
| 4 | 1968 | 72 | |
| 5 | 1967 | 70 | |
| 6 | 1972 | 69 | |
| 7 | 1968 | 66 | |
| 8 | 1969 | 56 | |
| 9 | 1972 | 44 | |
| 10 | 1973 | 40 | |
| 11 | 1967 | 35 | |
| 12 | 1971 | 32 | |
| 13 | 1971 | 32 | |
| 14 | 1955 | 29 | |
| 15 | 1970 | 29 | |
| 16 | 1973 | 20 | |
| 17 | 1976 | 19 | |
| 18 | 1983 | 18 | |
| 19 | 1967 | 15 | |
| 20 | 1967 | 15 |
About Seiitiro Utida
Seiitiro Utida is a scholar working on Aquatic Science, Ecology, Physiology, Molecular Biology and Immunology, having authored 31 papers that have together received 1.1k indexed citations. Recurring topics across this work include Aquaculture Nutrition and Growth (18 papers), Physiological and biochemical adaptations (15 papers), Reproductive biology and impacts on aquatic species (14 papers), Aquaculture disease management and microbiota (4 papers), Plant and animal studies (2 papers), Animal Nutrition and Physiology (2 papers), Fish Biology and Ecology Studies (2 papers) and Fish Ecology and Management Studies (2 papers). The work is most often cited by research in Aquatic Science (693 citations), Physiology (221 citations), Ecology (694 citations), Nature and Landscape Conservation (201 citations) and Immunology (157 citations). Seiitiro Utida has collaborated with scholars based in Japan, United States and Russia. Frequent co-authors include Mie Kamiya, Tetsuya Hirano, Momoko Oide, Donald W. Johnson, Howard A. Bern, Tatsuya Hirano, Masaaki Ando, Masahiko Satou, Tadashi Fujii and Mitsuharu Morisawa. Their work appears in journals such as General and Comparative Endocrinology, Marine Biology, Journal of Endocrinology, Cell and Tissue Research and Nature.
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.