Makoto Ukai
- Cellular and Molecular Neuroscience top 2%
- Molecular Biology top 10%
- Physiology top 10%
- Social Psychology top 10%
- Cognitive Neuroscience top 10%
- Co-authors
- Tsutomu KameyamaTakayoshi MamiyaJiro ItohTohru ToyoshiStephen G. HoltzmanTetsuya KobayashiNorihiro ShinkaiYoshiko Watanabe
- Topics
- Neuropeptides and Animal Physiology (56 papers)Receptor Mechanisms and Signaling (50 papers)Pain Mechanisms and Treatments (30 papers)
- Partner nations
- JapanUnited States
In The Last Decade
Makoto Ukai
87 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 78
- Cellular and Molecular Neuroscience 1.1k
- Molecular Biology 884
- Physiology 318
- Social Psychology 170
- Cognitive Neuroscience 151
Countries citing papers authored by Makoto Ukai
This map shows the geographic impact of Makoto Ukai'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 Makoto Ukai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Makoto Ukai more than expected).
Fields of papers citing papers by Makoto Ukai
This network shows the impact of papers produced by Makoto Ukai. 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 Makoto Ukai. The network helps show where Makoto Ukai may publish in the future.
Co-authorship network of co-authors of Makoto Ukai
This figure shows the co-authorship network connecting the top 25 collaborators of Makoto Ukai. A scholar is included among the top collaborators of Makoto Ukai 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 Makoto Ukai. Makoto Ukai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 28 | |
| 2 | 7 | |
| 3 | 14 | |
| 4 | 105 | |
| 5 | 33 | |
| 6 | 37 | |
| 7 | 70 | |
| 8 | 6 | |
| 9 | 8 | |
| 10 | 15 | |
| 11 | 14 | |
| 12 | 10 | |
| 13 | 14 | |
| 14 | 17 | |
| 15 | 36 | |
| 16 | 7 | |
| 17 | 22 | |
| 18 | 11 | |
| 19 | 5 | |
| 20 | 1 |
About Makoto Ukai
Makoto Ukai is a scholar working on Cellular and Molecular Neuroscience, Physiology and Behavioral Neuroscience, having authored 87 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (56 papers), Receptor Mechanisms and Signaling (50 papers) and Pain Mechanisms and Treatments (30 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.1k citations), Behavioral Neuroscience (119 citations) and Biological Psychiatry (51 citations). Makoto Ukai has collaborated with scholars based in Japan and United States. Frequent co-authors include Tsutomu Kameyama, Takayoshi Mamiya, Jiro Itoh, Tohru Toyoshi, Stephen G. Holtzman, Tetsuya Kobayashi, Norihiro Shinkai, Yoshiko Watanabe, Hui Lin and Kiyoshi Matsuno. Their work appears in journals such as Brain Research, British Journal of Pharmacology and European Journal of Pharmacology.
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.