Maki Hayashi
- Molecular Biology top 10%
- Plant Science top 5%
- Cellular and Molecular Neuroscience top 10%
- Immunology
- Environmental Engineering top 10%
- Co-authors
- Tsutomu UnemotoYuji NakayamaToshinori KinoshitaMakoto HayashiShin‐ichiro InoueKoji TakahashiShin-ichiro InoueMichael Palmgren
- Topics
- Photosynthetic Processes and Mechanisms (15 papers)ATP Synthase and ATPases Research (11 papers)Plant Molecular Biology Research (11 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryNature Communications
- Partner nations
- JapanDenmarkUnited States
In The Last Decade
Maki Hayashi
70 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 122
- Molecular Biology 1.1k
- Plant Science 569
- Cellular and Molecular Neuroscience 141
- Immunology 140
- Environmental Engineering 120
Countries citing papers authored by Maki Hayashi
This map shows the geographic impact of Maki Hayashi'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 Maki Hayashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maki Hayashi more than expected).
Fields of papers citing papers by Maki Hayashi
This network shows the impact of papers produced by Maki Hayashi. 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 Maki Hayashi. The network helps show where Maki Hayashi may publish in the future.
Co-authorship network of co-authors of Maki Hayashi
This figure shows the co-authorship network connecting the top 25 collaborators of Maki Hayashi. A scholar is included among the top collaborators of Maki Hayashi 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 Maki Hayashi. Maki Hayashi 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 | 3 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 8 | |
| 6 | 9 | |
| 7 | 23 | |
| 8 | 13 | |
| 9 | 59 | |
| 10 | 111 | |
| 11 | 83 | |
| 12 | 79 | |
| 13 | TWO DOMINANT ARABIDOPSIS MUTATIONS THAT CONFER AUXIN RESISTANCE IN ROOTS AND HYPOCOTYLS | 1 |
| 14 | 37 | |
| 15 | 66 | |
| 16 | 7 | |
| 17 | 2 | |
| 18 | Immunohistochemical demonstration of growth factors, TGF-alpha, TGF-beta, IGF-I and neu oncogene product in benign and malignant human breast tissues. | 58 |
| 19 | 25 | |
| 20 | Kinetics of the salt modifications of glucose 6-phosphate dehydrogenase purified from a marine Vibrio alginolyticus. | 1 |
About Maki Hayashi
Maki Hayashi is a scholar working on Clinical Biochemistry, Biochemistry and Molecular Biology, having authored 72 papers that have together received 1.9k indexed citations. Recurring topics across this work include Photosynthetic Processes and Mechanisms (15 papers), ATP Synthase and ATPases Research (11 papers) and Plant Molecular Biology Research (11 papers). The work is most often cited by research in Endocrinology (110 citations), Molecular Biology (1.1k citations) and Plant Science (569 citations). Maki Hayashi has collaborated with scholars based in Japan, Denmark and United States. Frequent co-authors include Tsutomu Unemoto, Yuji Nakayama, Toshinori Kinoshita, Makoto Hayashi, Shin‐ichiro Inoue, Koji Takahashi, Shin-ichiro Inoue, Michael Palmgren, Komei Miyaki and Yoshihisa Ueno. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.
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.