Kazuki Saito
- Molecular Biology top 0.05%
- Plant Science top 0.01%
- Biochemistry top 0.02%
- Biochemistry top 0.05%
- Food Science top 0.2%
- Co-authors
- Mami YamazakiRyo NakabayashiFumio MatsudaMasami Yokota HiraiTakayuki TohgeHideki TakahashiMiyako KusanoKeiko Yonekura‐Sakakibara
- Topics
- Plant biochemistry and biosynthesis (102 papers)Plant Gene Expression Analysis (90 papers)Metabolomics and Mass Spectrometry Studies (81 papers)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Kazuki Saito
702 papers receiving 41.3k citations
Hit Papers
Peers
Comparison fields: 5 of 199
- Molecular Biology 28.6k
- Plant Science 20.7k
- Biochemistry 3.0k
- Biochemistry 2.8k
- Food Science 2.0k
Countries citing papers authored by Kazuki Saito
This map shows the geographic impact of Kazuki 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 Kazuki Saito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kazuki Saito more than expected).
Fields of papers citing papers by Kazuki Saito
This network shows the impact of papers produced by Kazuki 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 Kazuki Saito. The network helps show where Kazuki Saito may publish in the future.
Co-authorship network of co-authors of Kazuki Saito
This figure shows the co-authorship network connecting the top 25 collaborators of Kazuki Saito. A scholar is included among the top collaborators of Kazuki 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 Kazuki Saito. Kazuki 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 | 1 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 71 | |
| 6 | 21 | |
| 7 | 18 | |
| 8 | 225 | |
| 9 | 131 | |
| 10 | 157 | |
| 11 | 168 | |
| 12 | 215 | |
| 13 | Members of the LBD Family of Transcription Factors Repress Anthocyanin Synthesis and Affect Additional Nitrogen Responses in Arabidopsis breakdown → | 523 |
| 14 | 82 | |
| 15 | 103 | |
| 16 | 23 | |
| 17 | 276 | |
| 18 | A highly specific sulfate-deficiency induced gene (sdi1) from wheat | 3 |
| 19 | Integration of transcriptomics and metabolomics for understanding of global responses to nutritional stresses in Arabidopsis thalianabreakdown → | 547 |
| 20 | 75 |
About Kazuki Saito
Kazuki Saito is a scholar working on Biochemistry, Molecular Biology and Plant Science, having authored 708 papers that have together received 42.2k indexed citations. Recurring topics across this work include Plant biochemistry and biosynthesis (102 papers), Plant Gene Expression Analysis (90 papers) and Metabolomics and Mass Spectrometry Studies (81 papers). The work is most often cited by research in Plant Science (20.7k citations), Biochemistry (2.8k citations) and Molecular Biology (28.6k citations). Kazuki Saito has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Mami Yamazaki, Ryo Nakabayashi, Fumio Matsuda, Masami Yokota Hirai, Takayuki Tohge, Hideki Takahashi, Miyako Kusano, Keiko Yonekura‐Sakakibara, Yozo Okazaki and Atsushi Fukushima. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.