Hajime Sakai
- Plant Science top 0.1%
- Molecular Biology top 1%
- Genetics top 2%
- Ecology, Evolution, Behavior and Systematics top 5%
- Spectroscopy top 5%
- Co-authors
- Milo J. AukermanElliot M. MeyerowitzLeonard MedranoNobuhiro NagasawaAnthony B. BleeckerJian HuaDavid JacksonRobert Meeley
- Topics
- Plant Molecular Biology Research (30 papers)Plant Reproductive Biology (21 papers)Plant nutrient uptake and metabolism (13 papers)
- Partner nations
- United StatesJapanGermany
In The Last Decade
Hajime Sakai
108 papers receiving 7.4k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Plant Science 6.2k
- Molecular Biology 4.1k
- Genetics 783
- Ecology, Evolution, Behavior and Systematics 297
- Spectroscopy 241
Countries citing papers authored by Hajime Sakai
This map shows the geographic impact of Hajime Sakai'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 Hajime Sakai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hajime Sakai more than expected).
Fields of papers citing papers by Hajime Sakai
This network shows the impact of papers produced by Hajime Sakai. 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 Hajime Sakai. The network helps show where Hajime Sakai may publish in the future.
Co-authorship network of co-authors of Hajime Sakai
This figure shows the co-authorship network connecting the top 25 collaborators of Hajime Sakai. A scholar is included among the top collaborators of Hajime Sakai 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 Hajime Sakai. Hajime Sakai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 2 | |
| 3 | 10 | |
| 4 | 66 | |
| 5 | 188 | |
| 6 | 109 | |
| 7 | 109 | |
| 8 | 24 | |
| 9 | Effects of mandrel shape on deformation behavior for hot mandrel bending of elbows | 1 |
| 10 | 53 | |
| 11 | 0 | |
| 12 | 314 | |
| 13 | 6 | |
| 14 | A case-control study of multiple myeloma in Japan: association with occupational factors. | 21 |
| 15 | 26 | |
| 16 | Regulation of Flowering Time and Floral Organ Identity by a MicroRNA and Its APETALA2 -Like Target Genesbreakdown → | 1566 |
| 17 | 192 | |
| 18 | Detection Efficiency of the First Solar Neutron Telescope at Norikura | 1 |
| 19 | 1 | |
| 20 | Doubly multiplexed Fourier spectroscopy (A) | 1 |
About Hajime Sakai
Hajime Sakai is a scholar working on Plant Science, Spectroscopy and Hematology, having authored 117 papers that have together received 7.6k indexed citations. Recurring topics across this work include Plant Molecular Biology Research (30 papers), Plant Reproductive Biology (21 papers) and Plant nutrient uptake and metabolism (13 papers). The work is most often cited by research in Plant Science (6.2k citations), Molecular Biology (4.1k citations) and Horticulture (37 citations). Hajime Sakai has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Milo J. Aukerman, Elliot M. Meyerowitz, Leonard Medrano, Nobuhiro Nagasawa, Anthony B. Bleecker, Jian Hua, David Jackson, Robert Meeley, Frank Hochholdinger and Namiko Satoh‐Nagasawa. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences 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.