Sakae Tsuda
- Molecular Biology top 5%
- Ecology top 1%
- Atmospheric Science top 5%
- Plant Science top 10%
- Cellular and Molecular Neuroscience top 5%
- Co-authors
- Hidemasa KondoYoshiyuki NishimiyaAi MiuraStéphane M. GagnéBrian D. SykesMonica X. LiTamotsu HoshinoMamoru Suzuki
- Topics
- Physiological and biochemical adaptations (59 papers)Neurobiology and Insect Physiology Research (23 papers)Aquaculture Nutrition and Growth (11 papers)
- Cited by
- AgingEcologyBiotechnology
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyNucleic Acids Research
- Partner nations
- JapanCanadaUnited States
In The Last Decade
Sakae Tsuda
114 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 123
- Molecular Biology 1.4k
- Ecology 1.2k
- Atmospheric Science 449
- Plant Science 312
- Cellular and Molecular Neuroscience 306
Countries citing papers authored by Sakae Tsuda
This map shows the geographic impact of Sakae Tsuda'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 Sakae Tsuda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sakae Tsuda more than expected).
Fields of papers citing papers by Sakae Tsuda
This network shows the impact of papers produced by Sakae Tsuda. 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 Sakae Tsuda. The network helps show where Sakae Tsuda may publish in the future.
Co-authorship network of co-authors of Sakae Tsuda
This figure shows the co-authorship network connecting the top 25 collaborators of Sakae Tsuda. A scholar is included among the top collaborators of Sakae Tsuda 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 Sakae Tsuda. Sakae Tsuda 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 | 3 | |
| 3 | 1 | |
| 4 | 12 | |
| 5 | 13 | |
| 6 | 11 | |
| 7 | 11 | |
| 8 | 9 | |
| 9 | 13 | |
| 10 | 1 | |
| 11 | 27 | |
| 12 | 15 | |
| 13 | 15 | |
| 14 | 7 | |
| 15 | 1. Hydroxyl groups of threonines contribute to the activity of Ca^ -depdendent type II antifreeze protein | 2 |
| 16 | 1 | |
| 17 | 8 | |
| 18 | 190 | |
| 19 | SEARCHING FOR NEW ANTIFREEZE SUBSTANCES FROM WHEAT | 0 |
| 20 | A hairpin-loop conformation in tandem repeat sequence of the ice nucleation protein revealed by NMR | 1 |
About Sakae Tsuda
Sakae Tsuda is a scholar working on Aging, Ecology and Aquatic Science, having authored 117 papers that have together received 3.3k indexed citations. Recurring topics across this work include Physiological and biochemical adaptations (59 papers), Neurobiology and Insect Physiology Research (23 papers) and Aquaculture Nutrition and Growth (11 papers). The work is most often cited by research in Aging (117 citations), Ecology (1.2k citations) and Biotechnology (226 citations). Sakae Tsuda has collaborated with scholars based in Japan, Canada and United States. Frequent co-authors include Hidemasa Kondo, Yoshiyuki Nishimiya, Ai Miura, Stéphane M. Gagné, Brian D. Sykes, Monica X. Li, Tamotsu Hoshino, Mamoru Suzuki, Shin‐Ichiro Nishimura and Kunio Hikichi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nucleic Acids Research.
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.