Rafael Yuste
- Cellular and Molecular Neuroscience top 0.01%
- Neuroscience and Neuropharmacology Research 128
- Photoreceptor and optogenetics research 72
- Neuroscience and Neural Engineering 67
- Cognitive Neuroscience top 0.05%
- Neural dynamics and brain function 146
- Memory and Neural Mechanisms 15
- Biophysics top 0.02%
- Advanced Fluorescence Microscopy Techniques 41
- Developmental Neuroscience top 0.1%
- Neurogenesis and neuroplasticity mechanisms 16
- Neurology top 0.5%
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- Advanced Memory and Neural Computing 26
- Co-authors
- Tobias BonhoefferDarcy S. PeterkaLawrence C KatzWinfried DenkAnia K. MajewskaAyumu TashiroAdam M. PackerDmitriy Aronov
- Journals
- Neuron (23 papers)Journal of Neuroscience (17 papers)Proceedings of the National Academy of Sciences (13 papers)
- Partner nations
- United StatesSpainGermany
In The Last Decade
Rafael Yuste
262 papers receiving 24.6k citations
Hit Papers
Peers
Comparison fields: 5 of 200
- Cellular and Molecular Neuroscience 17.6k
- Cognitive Neuroscience 12.2k
- Biophysics 2.8k
- Developmental Neuroscience 1.9k
- Neurology 1.5k
Countries citing papers authored by Rafael Yuste
This map shows the geographic impact of Rafael Yuste'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 Rafael Yuste with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rafael Yuste more than expected).
Fields of papers citing papers by Rafael Yuste
This network shows the impact of papers produced by Rafael Yuste. 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 Rafael Yuste. The network helps show where Rafael Yuste may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Rafael Yuste, 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 2 | |
| 6 | 2023 | 18 | |
| 7 | 2023 | 17 | |
| 8 | 2022 | 14 | |
| 9 | 2022 | 30 | |
| 10 | 2021 | 11 | |
| 11 | 2021 | 73 | |
| 12 | 2021 | 43 | |
| 13 | 2021 | 25 | |
| 14 | 2020 | 20 | |
| 15 | 2018 | 135 | |
| 16 | 2018 | 57 | |
| 17 | 2016 | 68 | |
| 18 | 2015 | 1 | |
| 19 | 2010 | 284 | |
| 20 | 2006 | 141 |
About Rafael Yuste
Rafael Yuste is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Biophysics, having authored 275 papers that have together received 25.1k indexed citations. Recurring topics across this work include Neural dynamics and brain function (146 papers), Neuroscience and Neuropharmacology Research (128 papers), Photoreceptor and optogenetics research (72 papers), Neuroscience and Neural Engineering (67 papers), Advanced Fluorescence Microscopy Techniques (41 papers), Advanced Memory and Neural Computing (26 papers), Neurogenesis and neuroplasticity mechanisms (16 papers) and Memory and Neural Mechanisms (15 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (17.6k citations), Cognitive Neuroscience (12.2k citations) and Biophysics (2.8k citations). Rafael Yuste has collaborated with scholars based in United States, Spain and Germany. Frequent co-authors include Tobias Bonhoeffer, Darcy S. Peterka, Lawrence C Katz, Winfried Denk, Ania K. Majewska, Ayumu Tashiro, Adam M. Packer, Dmitriy Aronov, Rosa Cossart and Kira E. Poskanzer. Their work appears in journals such as Neuron, Journal of Neuroscience, Proceedings of the National Academy of Sciences, Cerebral Cortex and Cell Reports.
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.