Rachel A. Daut
- Cellular and Molecular Neuroscience top 5%
- Cognitive Neuroscience top 10%
- Behavioral Neuroscience top 5%
- Biological Psychiatry top 5%
- Endocrine and Autonomic Systems top 5%
- Co-authors
- Laura K. FonkenAndrew HolmesDavid M. LovingerSteven F. MaierLinda R. WatkinsTimothy J. BusseyJonathan L. BrigmanLisa M. Saksida
- Topics
- Stress Responses and Cortisol (6 papers)Neuroscience and Neuropharmacology Research (6 papers)Circadian rhythm and melatonin (4 papers)
- Journals
- Proceedings of the National Academy of SciencesNature NeuroscienceBehavioural Brain Research
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Rachel A. Daut
13 papers receiving 700 citations
Peers
Comparison fields: 5 of 77
- Cellular and Molecular Neuroscience 281
- Cognitive Neuroscience 244
- Behavioral Neuroscience 171
- Biological Psychiatry 124
- Endocrine and Autonomic Systems 123
Countries citing papers authored by Rachel A. Daut
This map shows the geographic impact of Rachel A. Daut'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 Rachel A. Daut with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rachel A. Daut more than expected).
Fields of papers citing papers by Rachel A. Daut
This network shows the impact of papers produced by Rachel A. Daut. 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 Rachel A. Daut. The network helps show where Rachel A. Daut may publish in the future.
Co-authorship network of co-authors of Rachel A. Daut
This figure shows the co-authorship network connecting the top 25 collaborators of Rachel A. Daut. A scholar is included among the top collaborators of Rachel A. Daut 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 Rachel A. Daut. Rachel A. Daut is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 146 | |
| 4 | 4 | |
| 5 | 87 | |
| 6 | 10 | |
| 7 | 59 | |
| 8 | 13 | |
| 9 | 33 | |
| 10 | 35 | |
| 11 | 20 | |
| 12 | 119 | |
| 13 | 154 | |
| 14 | 30 |
About Rachel A. Daut
Rachel A. Daut is a scholar working on Behavioral Neuroscience, Biological Psychiatry and Endocrine and Autonomic Systems, having authored 14 papers that have together received 711 indexed citations. Recurring topics across this work include Stress Responses and Cortisol (6 papers), Neuroscience and Neuropharmacology Research (6 papers) and Circadian rhythm and melatonin (4 papers). The work is most often cited by research in Biological Psychiatry (124 citations), Behavioral Neuroscience (171 citations) and Endocrine and Autonomic Systems (123 citations). Rachel A. Daut has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Laura K. Fonken, Andrew Holmes, David M. Lovinger, Steven F. Maier, Linda R. Watkins, Timothy J. Bussey, Jonathan L. Brigman, Lisa M. Saksida, Ozge Gunduz‐Cinar and Marguerite Camp. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Neuroscience and Behavioural Brain Research.
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.