Masataka Watanabe
- Cognitive Neuroscience top 0.5%
- Cellular and Molecular Neuroscience top 5%
- Experimental and Cognitive Psychology top 5%
- Molecular Biology
- Social Psychology top 5%
- Co-authors
- Hiroaki NikiMasamichi SakagamiKunio KohataNikos K. LogothetisKazuo HikosakaShuichiro ShirakawaYusuke MurayamaKazuyuki Aihara
- Topics
- Neural dynamics and brain function (29 papers)Visual perception and processing mechanisms (16 papers)Neural and Behavioral Psychology Studies (14 papers)
- Journals
- NatureScienceNature Communications
- Partner nations
- JapanGermanyUnited Kingdom
In The Last Decade
Masataka Watanabe
60 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Cognitive Neuroscience 2.2k
- Cellular and Molecular Neuroscience 542
- Experimental and Cognitive Psychology 233
- Molecular Biology 206
- Social Psychology 183
Countries citing papers authored by Masataka Watanabe
This map shows the geographic impact of Masataka Watanabe'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 Masataka Watanabe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masataka Watanabe more than expected).
Fields of papers citing papers by Masataka Watanabe
This network shows the impact of papers produced by Masataka Watanabe. 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 Masataka Watanabe. The network helps show where Masataka Watanabe may publish in the future.
Co-authorship network of co-authors of Masataka Watanabe
This figure shows the co-authorship network connecting the top 25 collaborators of Masataka Watanabe. A scholar is included among the top collaborators of Masataka Watanabe 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 Masataka Watanabe. Masataka Watanabe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 15 | |
| 4 | 14 | |
| 5 | 8 | |
| 6 | 4 | |
| 7 | 18 | |
| 8 | 1 | |
| 9 | 4 | |
| 10 | 62 | |
| 11 | 39 | |
| 12 | 43 | |
| 13 | 46 | |
| 14 | Change of memory formation according to STDP in a continuous-time neural network model | 2 |
| 15 | 10 | |
| 16 | 13 | |
| 17 | 1 | |
| 18 | What Functional Connectivity Can Do : Software Driven Neural Networks | 8 |
| 19 | 4 | |
| 20 | Reward expectancy in primate prefrental neuronsbreakdown → | 530 |
About Masataka Watanabe
Masataka Watanabe is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Sensory Systems, having authored 63 papers that have together received 2.8k indexed citations. Recurring topics across this work include Neural dynamics and brain function (29 papers), Visual perception and processing mechanisms (16 papers) and Neural and Behavioral Psychology Studies (14 papers). The work is most often cited by research in Cognitive Neuroscience (2.2k citations), Cellular and Molecular Neuroscience (542 citations) and General Decision Sciences (50 citations). Masataka Watanabe has collaborated with scholars based in Japan, Germany and United Kingdom. Frequent co-authors include Hiroaki Niki, Masamichi Sakagami, Kunio Kohata, Nikos K. Logothetis, Kazuo Hikosaka, Shuichiro Shirakawa, Yusuke Murayama, Kazuyuki Aihara, Keiji Tanaka and Kang Cheng. Their work appears in journals such as Nature, Science 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.