T. Saito
- Molecular Biology top 5%
- Food Science top 1%
- Nutrition and Dietetics top 5%
- Cell Biology top 10%
- Genetics top 10%
- Co-authors
- Haruki KitazawaYasushi KawaiMónica P. ColaiácovoT. ItohTakamitsu NakamuraJ. Wade HarperDaisuke OkuzakiHiroshi Nojima
- Topics
- DNA Repair Mechanisms (17 papers)Probiotics and Fermented Foods (14 papers)Microtubule and mitosis dynamics (8 papers)
- Cited by
- AgingFood ScienceMolecular Biology
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchThe Journal of Cell Biology
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
T. Saito
50 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 109
- Molecular Biology 1.5k
- Food Science 713
- Nutrition and Dietetics 338
- Cell Biology 202
- Genetics 200
Countries citing papers authored by T. Saito
This map shows the geographic impact of T. Saito'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 T. Saito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Saito more than expected).
Fields of papers citing papers by T. Saito
This network shows the impact of papers produced by T. Saito. 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 T. Saito. The network helps show where T. Saito may publish in the future.
Co-authorship network of co-authors of T. Saito
This figure shows the co-authorship network connecting the top 25 collaborators of T. Saito. A scholar is included among the top collaborators of T. Saito 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 T. Saito. T. Saito is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | Statistical model for managing the transfer of radiocesium to rice plants under various soil chemical properties. II. Application for risk management. | 1 |
| 3 | 65 | |
| 4 | 31 | |
| 5 | 2 | |
| 6 | 42 | |
| 7 | 267 | |
| 8 | 9 | |
| 9 | 48 | |
| 10 | 17 | |
| 11 | 7 | |
| 12 | 41 | |
| 13 | 84 | |
| 14 | 33 | |
| 15 | 20 | |
| 16 | 268 | |
| 17 | Mitogenic activity of whole cells and cell wall components of Lactobacillus acidophilus group lactic acid bacteria on murine spleen and Peyer's patch cells | 22 |
| 18 | 79 | |
| 19 | 9 | |
| 20 | 4 |
About T. Saito
T. Saito is a scholar working on Aging, Food Science and Nutrition and Dietetics, having authored 52 papers that have together received 2.0k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (17 papers), Probiotics and Fermented Foods (14 papers) and Microtubule and mitosis dynamics (8 papers). The work is most often cited by research in Aging (145 citations), Food Science (713 citations) and Molecular Biology (1.5k citations). T. Saito has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Haruki Kitazawa, Yasushi Kawai, Mónica P. Colaiácovo, T. Itoh, Takamitsu Nakamura, J. Wade Harper, Daisuke Okuzaki, Hiroshi Nojima, Agata Smogorzewska and Jillian L. Youds. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and The Journal of Cell Biology.
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.