Daisuke Hattori
Impact in
- Developmental Neuroscience top 1%
- Neurogenesis and neuroplasticity mechanisms
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- Neurobiology and Insect Physiology Research
- Axon Guidance and Neuronal Signaling
Papers in
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- Neurobiology and Insect Physiology Research 10
- Axon Guidance and Neuronal Signaling 3
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- Epigenetics and DNA Methylation 2
- Co-authors
- Guoping Fan (2 shared papers)Keri Martinowich (2 shared papers)Yi Eve Sun (2 shared papers)Shaun D. Fouse (2 shared papers)Hao Wu (2 shared papers)Fei He (2 shared papers)S Lawrence Zipursky (6 shared papers)Yan Hu (1 shared paper)
- Journals
- Nature (2 papers)Cell (2 papers)Science (1 paper)Nature Communications (1 paper)Development (1 paper)
- Partner nations
- United StatesGermanyJapan
In The Last Decade
Daisuke Hattori
13 papers receiving 3.1k citations
Daisuke Hattori's Hit Papers
Peers
Comparison fields: 5 of 110
- Developmental Neuroscience 347
- Cellular and Molecular Neuroscience 1.5k
- Aging 71
- Genetics 1.1k
- Molecular Biology 1.7k
Countries citing papers authored by Daisuke Hattori
This map shows the geographic impact of Daisuke Hattori'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 Daisuke Hattori with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daisuke Hattori more than expected).
Fields of papers citing papers by Daisuke Hattori
This network shows the impact of papers produced by Daisuke Hattori. 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 Daisuke Hattori. The network helps show where Daisuke Hattori may publish in the future.
Co-authors
The 25 scholars most cited alongside Daisuke Hattori, 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 | DNA Methylation-Related Chromatin Remodeling in Activity-Dependent Bdnf Gene Regulation Hit paper breakdown → | 2003 | 1111 |
| 2 | The neuronal architecture of the mushroom body provides a logic for associative learning Hit paper breakdown → | 2014 | 634 |
| 3 | 2005 | 328 | |
| 4 | 2007 | 271 | |
| 5 | 2004 | 177 | |
| 6 | 2007 | 172 | |
| 7 | 2008 | 156 | |
| 8 | 2009 | 124 | |
| 9 | 2017 | 80 | |
| 10 | 2006 | 52 | |
| 11 | 2005 | 20 | |
| 12 | 2022 | 4 | |
| 13 | 2023 | 2 |
About Daisuke Hattori
Daisuke Hattori is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Genetics, Ecology, Evolution, Behavior and Systematics and Cell Biology, having authored 13 papers that have together received 3.1k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (10 papers), Invertebrate Immune Response Mechanisms (3 papers), Insect and Arachnid Ecology and Behavior (3 papers), Axon Guidance and Neuronal Signaling (3 papers), Animal Behavior and Reproduction (2 papers), Zebrafish Biomedical Research Applications (2 papers), Genetics and Neurodevelopmental Disorders (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Developmental Neuroscience (347 citations), Cellular and Molecular Neuroscience (1.5k citations), Aging (71 citations), Genetics (1.1k citations) and Molecular Biology (1.7k citations). Daisuke Hattori has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Guoping Fan, Keri Martinowich, Yi Eve Sun, Shaun D. Fouse, Hao Wu, Fei He, S Lawrence Zipursky, Yan Hu, Gerald M. Rubin and Yoshinori Aso. Their work appears in journals such as Nature, Cell, Science, Nature Communications and Development.
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.