Maki Kaneko
- Endocrine and Autonomic Systems top 0.1%
- Cellular and Molecular Neuroscience top 0.5%
- Plant Science top 1%
- Molecular Biology
- Physiology top 5%
- Co-authors
- Jeffrey C. HallPatrick EmeryMichael RosbashSteve A. KayW. Venus SoKaren Wager‐SmithRalf StanewskyCharlotte Helfrich‐Förster
- Topics
- Circadian rhythm and melatonin (15 papers)Light effects on plants (11 papers)Neurobiology and Insect Physiology Research (10 papers)
- Partner nations
- United StatesJapanSweden
In The Last Decade
Maki Kaneko
54 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Endocrine and Autonomic Systems 2.8k
- Cellular and Molecular Neuroscience 2.3k
- Plant Science 1.6k
- Molecular Biology 456
- Physiology 448
Countries citing papers authored by Maki Kaneko
This map shows the geographic impact of Maki Kaneko'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 Kaneko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maki Kaneko more than expected).
Fields of papers citing papers by Maki Kaneko
This network shows the impact of papers produced by Maki Kaneko. 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 Kaneko. The network helps show where Maki Kaneko may publish in the future.
Co-authorship network of co-authors of Maki Kaneko
This figure shows the co-authorship network connecting the top 25 collaborators of Maki Kaneko. A scholar is included among the top collaborators of Maki Kaneko 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 Kaneko. Maki Kaneko is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 3 | |
| 4 | 17 | |
| 5 | 1 | |
| 6 | 7 | |
| 7 | 51 | |
| 8 | 6 | |
| 9 | 29 | |
| 10 | 1 | |
| 11 | 33 | |
| 12 | 5 | |
| 13 | 22 | |
| 14 | 30 | |
| 15 | 28 | |
| 16 | 338 | |
| 17 | The cryb Mutation Identifies Cryptochrome as a Circadian Photoreceptor in Drosophilabreakdown → | 782 |
| 18 | CRY, a Drosophila Clock and Light-Regulated Cryptochrome, Is a Major Contributor to Circadian Rhythm Resetting and Photosensitivitybreakdown → | 718 |
| 19 | 24 | |
| 20 | DNA flow cytometric evaluation of serous and mucinous cystic neoplasms of the pancreas. | 8 |
About Maki Kaneko
Maki Kaneko is a scholar working on Endocrine and Autonomic Systems, Aging and Cellular and Molecular Neuroscience, having authored 55 papers that have together received 4.0k indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (15 papers), Light effects on plants (11 papers) and Neurobiology and Insect Physiology Research (10 papers). The work is most often cited by research in Endocrine and Autonomic Systems (2.8k citations), Aging (391 citations) and Cellular and Molecular Neuroscience (2.3k citations). Maki Kaneko has collaborated with scholars based in United States, Japan and Sweden. Frequent co-authors include Jeffrey C. Hall, Patrick Emery, Michael Rosbash, Steve A. Kay, W. Venus So, Karen Wager‐Smith, Ralf Stanewsky, Charlotte Helfrich‐Förster, Gregory M. Cahill and Vasu Sheeba. Their work appears in journals such as Science, Cell 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.