Yutaka Haga
- Aquatic Science top 0.2%
- Immunology top 5%
- Physiology top 0.5%
- Molecular Biology
- Nature and Landscape Conservation top 10%
- Co-authors
- Shuichi SatohToshio TakeuchiTadahisa SeikaiHiroshi FushimiJohn SweetmanTohru SuzukiNaoki KabeyaGoro Yoshizaki
- Topics
- Aquaculture Nutrition and Growth (71 papers)Aquaculture disease management and microbiota (41 papers)Reproductive biology and impacts on aquatic species (32 papers)
- Cited by
- Aquatic SciencePhysiologyImmunology
- Journals
- SHILAP Revista de lepidopterologíaAquacultureBiochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids
- Partner nations
- JapanUnited StatesIndonesia
In The Last Decade
Yutaka Haga
78 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 85
- Aquatic Science 1.3k
- Immunology 751
- Physiology 463
- Molecular Biology 303
- Nature and Landscape Conservation 147
Countries citing papers authored by Yutaka Haga
This map shows the geographic impact of Yutaka Haga'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 Yutaka Haga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yutaka Haga more than expected).
Fields of papers citing papers by Yutaka Haga
This network shows the impact of papers produced by Yutaka Haga. 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 Yutaka Haga. The network helps show where Yutaka Haga may publish in the future.
Co-authorship network of co-authors of Yutaka Haga
This figure shows the co-authorship network connecting the top 25 collaborators of Yutaka Haga. A scholar is included among the top collaborators of Yutaka Haga 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 Yutaka Haga. Yutaka Haga is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 2 | |
| 7 | 33 | |
| 8 | 4 | |
| 9 | 4 | |
| 10 | 6 | |
| 11 | Taurine synthesis in teleost-importance of cysteamine pathway | 2 |
| 12 | 0 | |
| 13 | Detection of transgenic and endogenous plant DNA in blood and organs of Nile tilapia, Oreochromis niloticus fed a diet formulated with genetically modified soybean meal. | 1 |
| 14 | 4 | |
| 15 | 9 | |
| 16 | 84 | |
| 17 | 2 | |
| 18 | 9 | |
| 19 | 23 | |
| 20 | 38 |
About Yutaka Haga
Yutaka Haga is a scholar working on Aquatic Science, Physiology and Immunology, having authored 82 papers that have together received 1.6k indexed citations. Recurring topics across this work include Aquaculture Nutrition and Growth (71 papers), Aquaculture disease management and microbiota (41 papers) and Reproductive biology and impacts on aquatic species (32 papers). The work is most often cited by research in Aquatic Science (1.3k citations), Physiology (463 citations) and Immunology (751 citations). Yutaka Haga has collaborated with scholars based in Japan, United States and Indonesia. Frequent co-authors include Shuichi Satoh, Toshio Takeuchi, Tadahisa Seikai, Hiroshi Fushimi, John Sweetman, Tohru Suzuki, Naoki Kabeya, Goro Yoshizaki, Yoji Yamamoto and Dedi Jusadi. Their work appears in journals such as SHILAP Revista de lepidopterología, Aquaculture and Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids.
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.