Tatsuya Unuma
- Aquatic Science top 0.1%
- Physiology top 0.1%
- Immunology top 5%
- Genetics top 10%
- Global and Planetary Change top 5%
- Co-authors
- Takeshi YamamotoHiromi OhtaToshio AkiyamaHideki TanakaKazuharu NomuraKeisuke YamanoH. KagawaHirohiko Kagawa
- Topics
- Aquaculture Nutrition and Growth (42 papers)Reproductive biology and impacts on aquatic species (36 papers)Echinoderm biology and ecology (18 papers)
- Partner nations
- JapanUnited StatesVietnam
In The Last Decade
Tatsuya Unuma
75 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 70
- Aquatic Science 1.5k
- Physiology 1.1k
- Immunology 458
- Genetics 340
- Global and Planetary Change 324
Countries citing papers authored by Tatsuya Unuma
This map shows the geographic impact of Tatsuya Unuma'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 Tatsuya Unuma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tatsuya Unuma more than expected).
Fields of papers citing papers by Tatsuya Unuma
This network shows the impact of papers produced by Tatsuya Unuma. 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 Tatsuya Unuma. The network helps show where Tatsuya Unuma may publish in the future.
Co-authorship network of co-authors of Tatsuya Unuma
This figure shows the co-authorship network connecting the top 25 collaborators of Tatsuya Unuma. A scholar is included among the top collaborators of Tatsuya Unuma 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 Tatsuya Unuma. Tatsuya Unuma 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 | Improving the Food Quality of Sea Urchins Collected from Barren Grounds by Short-Term Aquaculture under Controlled Temperature (The 41st Scientific Symposium of the UJNR Aquaculture Panel : Advanced Aquaculture Technologies) | 3 |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 24 | |
| 7 | 25 | |
| 8 | 18 | |
| 9 | 30 | |
| 10 | Microsatellite genotypes in triploid Japanese eel (Anguilla japonica) induced by heat shock | 1 |
| 11 | 112 | |
| 12 | 68 | |
| 13 | 54 | |
| 14 | 38 | |
| 15 | 10 | |
| 16 | 24 | |
| 17 | Apparent Availabilities of Amino Acids from Several Protein Sources for Fingerling Japanese Flounder. | 6 |
| 18 | 4 | |
| 19 | 12 | |
| 20 | 25 |
About Tatsuya Unuma
Tatsuya Unuma is a scholar working on Aquatic Science, Physiology and Oceanography, having authored 79 papers that have together received 2.1k indexed citations. Recurring topics across this work include Aquaculture Nutrition and Growth (42 papers), Reproductive biology and impacts on aquatic species (36 papers) and Echinoderm biology and ecology (18 papers). The work is most often cited by research in Physiology (1.1k citations), Aquatic Science (1.5k citations) and Reproductive Medicine (246 citations). Tatsuya Unuma has collaborated with scholars based in Japan, United States and Vietnam. Frequent co-authors include Takeshi Yamamoto, Hiromi Ohta, Toshio Akiyama, Hideki Tanaka, Kazuharu Nomura, Keisuke Yamano, H. Kagawa, Hirohiko Kagawa, Gao‐Feng Qiu and T. Akiyama. Their work appears in journals such as Aquaculture, Journal of Experimental Biology and Biology of Reproduction.
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.