Daniel Dautan
Impact in
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- Neuroscience and Neuropharmacology Research
- Neurotransmitter Receptor Influence on Behavior
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function
- Memory and Neural Mechanisms
Papers in
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- Neuroscience and Neuropharmacology Research 7
- Photoreceptor and optogenetics research 4
- Neurotransmitter Receptor Influence on Behavior 3
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- Neural dynamics and brain function 7
- Co-authors
- Juan Mena‐Segovia (9 shared papers)Todor V. Gerdjikov (6 shared papers)J. Paul Bolam (3 shared papers)Icnelia Huerta-Ocampo (5 shared papers)Karl Deisseroth (2 shared papers)Ilana B. Witten (2 shared papers)James M. Tepper (2 shared papers)Maxime Assous (2 shared papers)
- Journals
- Nature Neuroscience (3 papers)Molecular Psychiatry (2 papers)Scientific Reports (2 papers)Journal of Neuroscience (2 papers)eNeuro (2 papers)
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Daniel Dautan
15 papers receiving 977 citations
Peers
Comparison fields: 5 of 72
- Cellular and Molecular Neuroscience 623
- Cognitive Neuroscience 381
- Neurology 184
- Behavioral Neuroscience 43
- Endocrine and Autonomic Systems 47
Countries citing papers authored by Daniel Dautan
This map shows the geographic impact of Daniel Dautan'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 Daniel Dautan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Dautan more than expected).
Fields of papers citing papers by Daniel Dautan
This network shows the impact of papers produced by Daniel Dautan. 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 Daniel Dautan. The network helps show where Daniel Dautan may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Dautan, 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 | 268 | |
| 2 | 2016 | 147 | |
| 3 | 2019 | 125 | |
| 4 | 2016 | 119 | |
| 5 | 2021 | 65 | |
| 6 | 2018 | 54 | |
| 7 | 2020 | 45 | |
| 8 | 2019 | 34 | |
| 9 | 2019 | 33 | |
| 10 | 2015 | 26 | |
| 11 | 2021 | 22 | |
| 12 | 2017 | 15 | |
| 13 | 2024 | 14 | |
| 14 | 2017 | 14 | |
| 15 | 2024 | 3 | |
| 16 | 2026 | 0 |
About Daniel Dautan
Daniel Dautan is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Molecular Biology, Neurology and Pharmacology, having authored 16 papers that have together received 984 indexed citations. Recurring topics across this work include Neural dynamics and brain function (7 papers), Neuroscience and Neuropharmacology Research (7 papers), Photoreceptor and optogenetics research (4 papers), Nicotinic Acetylcholine Receptors Study (4 papers), Neurological disorders and treatments (3 papers), Receptor Mechanisms and Signaling (3 papers), Neurotransmitter Receptor Influence on Behavior (3 papers) and Treatment of Major Depression (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (623 citations), Cognitive Neuroscience (381 citations), Neurology (184 citations), Behavioral Neuroscience (43 citations) and Endocrine and Autonomic Systems (47 citations). Daniel Dautan has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Juan Mena‐Segovia, Todor V. Gerdjikov, J. Paul Bolam, Icnelia Huerta-Ocampo, Karl Deisseroth, Ilana B. Witten, James M. Tepper, Maxime Assous, Miguel Valencia and Balázs Pál. Their work appears in journals such as Nature Neuroscience, Molecular Psychiatry, Scientific Reports, Journal of Neuroscience and eNeuro.
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.