Yuki Hashimotodani
- Pharmacology top 0.1%
- Cannabis and Cannabinoid Research 17
- Cellular and Molecular Neuroscience top 0.5%
- Neuroscience and Neuropharmacology Research 26
- Photoreceptor and optogenetics research 5
- Cognitive Neuroscience top 1%
- Sleep and Wakefulness Research 18
- Neural dynamics and brain function 4
- Memory and Neural Mechanisms 4
- Toxicology top 2%
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- Biochemical effects in animals 2
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- Receptor Mechanisms and Signaling 2
- Co-authors
- Masanobu KanoTakako Ohno‐ShosakuMasahiko WatanabeMotokazu UchigashimaAndrés E. ChávezPablo E. CastilloThomas J. YountsTakashi Maejima
- Journals
- Science (1 paper)Proceedings of the National Academy of Sciences (2 papers)Neuron (4 papers)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Yuki Hashimotodani
28 papers receiving 4.6k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Pharmacology 2.8k
- Cellular and Molecular Neuroscience 3.0k
- Cognitive Neuroscience 1.5k
- Endocrine and Autonomic Systems 365
- Toxicology 119
Countries citing papers authored by Yuki Hashimotodani
This map shows the geographic impact of Yuki Hashimotodani'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 Yuki Hashimotodani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuki Hashimotodani more than expected).
Fields of papers citing papers by Yuki Hashimotodani
This network shows the impact of papers produced by Yuki Hashimotodani. 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 Yuki Hashimotodani. The network helps show where Yuki Hashimotodani may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yuki Hashimotodani, 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 | 2024 | 4 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 14 | |
| 5 | 2023 | 19 | |
| 6 | 2022 | 5 | |
| 7 | 2020 | 1 | |
| 8 | 2018 | 53 | |
| 9 | 2017 | 60 | |
| 10 | Endocannabinoid Signaling and Synaptic Functionbreakdown → | 2012 | 810 |
| 11 | 2011 | 21 | |
| 12 | 2010 | 368 | |
| 13 | 2007 | 162 | |
| 14 | 2007 | 20 | |
| 15 | 2007 | 50 | |
| 16 | 2007 | 70 | |
| 17 | 2007 | 77 | |
| 18 | 2005 | 44 | |
| 19 | 2005 | 201 | |
| 20 | 2005 | 258 |
About Yuki Hashimotodani
Yuki Hashimotodani is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Pharmacology, having authored 30 papers that have together received 4.7k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (26 papers), Sleep and Wakefulness Research (18 papers), Cannabis and Cannabinoid Research (17 papers), Photoreceptor and optogenetics research (5 papers), Neural dynamics and brain function (4 papers), Memory and Neural Mechanisms (4 papers), Biochemical effects in animals (2 papers) and Receptor Mechanisms and Signaling (2 papers). The work is most often cited by research in Pharmacology (2.8k citations), Cellular and Molecular Neuroscience (3.0k citations) and Cognitive Neuroscience (1.5k citations). Yuki Hashimotodani has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Masanobu Kano, Takako Ohno‐Shosaku, Masahiko Watanabe, Motokazu Uchigashima, Andrés E. Chávez, Pablo E. Castillo, Thomas J. Younts, Takashi Maejima, Asami Tanimura and Adam Z. Weitemier. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Neuron.
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.