Hitoshi Sakakibara
- Plant Science top 0.01%
- Plant Molecular Biology Research 184
- Plant nutrient uptake and metabolism 93
- Plant Stress Responses and Tolerance 57
- Plant-Microbe Interactions and Immunity 26
- Molecular Biology top 0.1%
- Plant Reproductive Biology 92
- Photosynthetic Processes and Mechanisms 67
- Plant Gene Expression Analysis 22
- Horticulture top 1%
- Cell Biology top 0.5%
- Microtubule and mitosis dynamics 27
- Agronomy and Crop Science top 0.5%
Hitoshi Sakakibara
366 papers receiving 31.1k citations
Hit Papers
Peers
Comparison fields: 5 of 163
- Plant Science 26.6k
- Molecular Biology 15.9k
- Horticulture 106
- Cell Biology 1.7k
- Agronomy and Crop Science 974
Countries citing papers authored by Hitoshi Sakakibara
This map shows the geographic impact of Hitoshi Sakakibara'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 Hitoshi Sakakibara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hitoshi Sakakibara more than expected).
Fields of papers citing papers by Hitoshi Sakakibara
This network shows the impact of papers produced by Hitoshi Sakakibara. 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 Hitoshi Sakakibara. The network helps show where Hitoshi Sakakibara may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hitoshi Sakakibara, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 17 | |
| 2 | 2022 | 3 | |
| 3 | 2020 | 37 | |
| 4 | 2018 | 84 | |
| 5 | 2016 | 169 | |
| 6 | 2012 | 254 | |
| 7 | 2011 | 64 | |
| 8 | 2011 | 78 | |
| 9 | 2011 | 71 | |
| 10 | Analysis of Cytokinin Mutants and Regulation of Cytokinin Metabolic Genes Reveals Important Regulatory Roles of Cytokinins in Drought, Salt and Abscisic Acid Responses, and Abscisic Acid Biosynthesis breakdown → | 2011 | 591 |
| 11 | 2010 | 160 | |
| 12 | PSEUDO-RESPONSE REGULATORS 9, 7, and 5 Are Transcriptional Repressors in the Arabidopsis Circadian Clock breakdown → | 2010 | 469 |
| 13 | 2009 | 215 | |
| 14 | 2009 | 363 | |
| 15 | 2007 | 216 | |
| 16 | 2007 | 166 | |
| 17 | Delayed leaf senescence induces extreme drought tolerance in a flowering plantbreakdown → | 2007 | 672 |
| 18 | 2005 | 92 | |
| 19 | Cytokinin Oxidase Regulates Rice Grain Productionbreakdown → | 2005 | 1421 |
| 20 | 2005 | 98 |
About Hitoshi Sakakibara
Hitoshi Sakakibara is a scholar working on Plant Science, Molecular Biology and Cell Biology, having authored 372 papers that have together received 31.7k indexed citations. Recurring topics across this work include Plant Molecular Biology Research (184 papers), Plant nutrient uptake and metabolism (93 papers), Plant Reproductive Biology (92 papers), Photosynthetic Processes and Mechanisms (67 papers), Plant Stress Responses and Tolerance (57 papers), Microtubule and mitosis dynamics (27 papers), Plant-Microbe Interactions and Immunity (26 papers) and Plant Gene Expression Analysis (22 papers). The work is most often cited by research in Plant Science (26.6k citations), Molecular Biology (15.9k citations) and Horticulture (106 citations). Hitoshi Sakakibara has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Mikiko Kojima, Takatoshi Kiba, Kentaro Takei, Tatsuo Sugiyama, Tomoyuki Yamaya, Makoto Matsuoka, Kazuhiro Oiwa, Naoya Hirose, Motoyuki Ashikari and Nanae Ueda. 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.