Takashi Maejima
- Cellular and Molecular Neuroscience top 0.5%
- Pharmacology top 0.2%
- Cognitive Neuroscience top 1%
- Molecular Biology top 10%
- Endocrine and Autonomic Systems top 1%
- Co-authors
- Masanobu KanoTakako Ohno‐ShosakuTakayuki YoshidaAtsu AibaKouichi HashimotoStefan HerlitzeYuki HashimotodaniEvan S. Deneris
- Topics
- Neuroscience and Neuropharmacology Research (19 papers)Sleep and Wakefulness Research (13 papers)Cannabis and Cannabinoid Research (11 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryNature Communications
- Partner nations
- JapanGermanyUnited States
In The Last Decade
Takashi Maejima
38 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Cellular and Molecular Neuroscience 2.4k
- Pharmacology 1.9k
- Cognitive Neuroscience 1.3k
- Molecular Biology 700
- Endocrine and Autonomic Systems 466
Countries citing papers authored by Takashi Maejima
This map shows the geographic impact of Takashi Maejima'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 Takashi Maejima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takashi Maejima more than expected).
Fields of papers citing papers by Takashi Maejima
This network shows the impact of papers produced by Takashi Maejima. 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 Takashi Maejima. The network helps show where Takashi Maejima may publish in the future.
Co-authorship network of co-authors of Takashi Maejima
This figure shows the co-authorship network connecting the top 25 collaborators of Takashi Maejima. A scholar is included among the top collaborators of Takashi Maejima 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 Takashi Maejima. Takashi Maejima 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 | 4 | |
| 3 | 1 | |
| 4 | 11 | |
| 5 | 10 | |
| 6 | 2 | |
| 7 | 34 | |
| 8 | 11 | |
| 9 | 137 | |
| 10 | 66 | |
| 11 | 84 | |
| 12 | 39 | |
| 13 | 85 | |
| 14 | 104 | |
| 15 | 11 | |
| 16 | 44 | |
| 17 | 18 | |
| 18 | 100 | |
| 19 | Endogenous Cannabinoids Mediate Retrograde Signals from Depolarized Postsynaptic Neurons to Presynaptic Terminalsbreakdown → | 662 |
| 20 | 448 |
About Takashi Maejima
Takashi Maejima is a scholar working on Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems and Cognitive Neuroscience, having authored 39 papers that have together received 3.5k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (19 papers), Sleep and Wakefulness Research (13 papers) and Cannabis and Cannabinoid Research (11 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.4k citations), Pharmacology (1.9k citations) and Endocrine and Autonomic Systems (466 citations). Takashi Maejima has collaborated with scholars based in Japan, Germany and United States. Frequent co-authors include Masanobu Kano, Takako Ohno‐Shosaku, Takayuki Yoshida, Atsu Aiba, Kouichi Hashimoto, Stefan Herlitze, Yuki Hashimotodani, Evan S. Deneris, Kenji Araishi and Masahiko Watanabe. 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.