Tadaomi Morimasa
- Cellular and Molecular Neuroscience top 10%
- Molecular Biology
- Endocrine and Autonomic Systems top 10%
- Cognitive Neuroscience
- Physiology
- Co-authors
- H. FeerAnna Wirz‐JusticeKurt KräuchiToshikiyo ShohmoriTakao KaneyukiTomoko SakaiMasaharu KamoAkira Tsugita
- Topics
- Neuroscience and Neuropharmacology Research (6 papers)Receptor Mechanisms and Signaling (4 papers)Neurotransmitter Receptor Influence on Behavior (4 papers)
- Partner nations
- JapanSwitzerlandUnited Kingdom
In The Last Decade
Tadaomi Morimasa
23 papers receiving 355 citations
Peers
Comparison fields: 5 of 78
- Cellular and Molecular Neuroscience 150
- Molecular Biology 130
- Endocrine and Autonomic Systems 76
- Cognitive Neuroscience 52
- Physiology 48
Countries citing papers authored by Tadaomi Morimasa
This map shows the geographic impact of Tadaomi Morimasa'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 Tadaomi Morimasa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tadaomi Morimasa more than expected).
Fields of papers citing papers by Tadaomi Morimasa
This network shows the impact of papers produced by Tadaomi Morimasa. 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 Tadaomi Morimasa. The network helps show where Tadaomi Morimasa may publish in the future.
Co-authorship network of co-authors of Tadaomi Morimasa
This figure shows the co-authorship network connecting the top 25 collaborators of Tadaomi Morimasa. A scholar is included among the top collaborators of Tadaomi Morimasa 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 Tadaomi Morimasa. Tadaomi Morimasa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Body weight of high and low aggression mice under various population densities. | 1 |
| 2 | 28 | |
| 3 | 60 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 2 | |
| 7 | 6 | |
| 8 | 5 | |
| 9 | 6 | |
| 10 | 42 | |
| 11 | 14 | |
| 12 | [Animal models of aggression and serotonin receptor subtypes]. | 2 |
| 13 | 15 | |
| 14 | 10 | |
| 15 | 7 | |
| 16 | 2 | |
| 17 | 50 | |
| 18 | 9 | |
| 19 | 14 | |
| 20 | 8 |
About Tadaomi Morimasa
Tadaomi Morimasa is a scholar working on Behavioral Neuroscience, Endocrine and Autonomic Systems and Cellular and Molecular Neuroscience, having authored 24 papers that have together received 363 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (6 papers), Receptor Mechanisms and Signaling (4 papers) and Neurotransmitter Receptor Influence on Behavior (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (76 citations), Behavioral Neuroscience (30 citations) and Cellular and Molecular Neuroscience (150 citations). Tadaomi Morimasa has collaborated with scholars based in Japan, Switzerland and United Kingdom. Frequent co-authors include H. Feer, Anna Wirz‐Justice, Kurt Kräuchi, Toshikiyo Shohmori, Takao Kaneyuki, Tomoko Sakai, Masaharu Kamo, Akira Tsugita, Tsutomu Kameyama and Takaaki Hasegawa. Their work appears in journals such as Journal of Molecular Biology, Brain Research and Cellular and Molecular Life 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.