Thomas E. Chater
Impact in
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- Neuroscience and Neuropharmacology Research
- Photoreceptor and optogenetics research
- Developmental Neuroscience top 10%
- Neurogenesis and neuroplasticity mechanisms
Papers in
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- Neuroscience and Neuropharmacology Research 9
- Photoreceptor and optogenetics research 2
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- Single-cell and spatial transcriptomics 3
- Pluripotent Stem Cells Research 3
- Receptor Mechanisms and Signaling 2
- Co-authors
- Yukiko Goda (10 shared papers)Mathieu Letellier (1 shared paper)Yun Kyung Park (1 shared paper)Kaori Tanaka (1 shared paper)Tadafumi Kato (1 shared paper)Jennifer A. Erwin (1 shared paper)Apuã C.M. Paquola (1 shared paper)Itoshi Nikaido (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Nature Communications (1 paper)Cell Reports (1 paper)Communications Biology (1 paper)Science Advances (1 paper)
- Partner nations
- JapanUnited StatesSwitzerland
In The Last Decade
Thomas E. Chater
11 papers receiving 552 citations
Peers
Comparison fields: 5 of 79
- Cellular and Molecular Neuroscience 334
- Developmental Neuroscience 63
- Neurology 86
- Biological Psychiatry 22
- Cognitive Neuroscience 133
Countries citing papers authored by Thomas E. Chater
This map shows the geographic impact of Thomas E. Chater'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 Thomas E. Chater with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas E. Chater more than expected).
Fields of papers citing papers by Thomas E. Chater
This network shows the impact of papers produced by Thomas E. Chater. 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 Thomas E. Chater. The network helps show where Thomas E. Chater may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas E. Chater, 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 | 2014 | 251 | |
| 2 | 2016 | 88 | |
| 3 | 2020 | 70 | |
| 4 | 2019 | 44 | |
| 5 | 2020 | 32 | |
| 6 | 2022 | 23 | |
| 7 | 2021 | 19 | |
| 8 | 2022 | 11 | |
| 9 | 2021 | 9 | |
| 10 | 2023 | 4 | |
| 11 | 2024 | 3 | |
| 12 | 2019 | 0 |
About Thomas E. Chater
Thomas E. Chater is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Cognitive Neuroscience, Neurology and Electrical and Electronic Engineering, having authored 12 papers that have together received 554 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (9 papers), Single-cell and spatial transcriptomics (3 papers), Pluripotent Stem Cells Research (3 papers), Neural dynamics and brain function (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Memory and Neural Mechanisms (2 papers), Receptor Mechanisms and Signaling (2 papers) and Photoreceptor and optogenetics research (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (334 citations), Developmental Neuroscience (63 citations), Neurology (86 citations), Biological Psychiatry (22 citations) and Cognitive Neuroscience (133 citations). Thomas E. Chater has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Yukiko Goda, Mathieu Letellier, Yun Kyung Park, Kaori Tanaka, Tadafumi Kato, Jennifer A. Erwin, Apuã C.M. Paquola, Itoshi Nikaido, Yohei Sasagawa and Noriko Fujimori-Tonou. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications, Cell Reports, Communications Biology and Science Advances.
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.