Rachel A. Daut

15 total papers · 936 total citations
14 papers, 704 citations indexed

About

Rachel A. Daut is a scholar working on Cellular and Molecular Neuroscience, Behavioral Neuroscience and Endocrine and Autonomic Systems. According to data from OpenAlex, Rachel A. Daut has authored 14 papers receiving a total of 704 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cellular and Molecular Neuroscience, 6 papers in Behavioral Neuroscience and 4 papers in Endocrine and Autonomic Systems. Recurrent topics in Rachel A. Daut's work include Stress Responses and Cortisol (6 papers), Neuroscience and Neuropharmacology Research (6 papers) and Neurotransmitter Receptor Influence on Behavior (4 papers). Rachel A. Daut is often cited by papers focused on Stress Responses and Cortisol (6 papers), Neuroscience and Neuropharmacology Research (6 papers) and Neurotransmitter Receptor Influence on Behavior (4 papers). Rachel A. Daut collaborates with scholars based in United States, United Kingdom and Japan. Rachel A. Daut's co-authors include Laura K. Fonken, Andrew Holmes, Steven F. Maier, David M. Lovinger, Linda R. Watkins, Timothy J. Bussey, Lisa M. Saksida, Jonathan L. Brigman, Ozge Gunduz‐Cinar and Marguerite Camp and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Neuroscience and Behavioural Brain Research.

In The Last Decade

Rachel A. Daut

13 papers receiving 693 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Rachel A. Daut	281	243	170	123	123	14	704
Stephanie M. Perez	343 1.2×	206 0.8×	92 0.5×	118 1.0×	99 0.8×	26	688
L. Sanjay Nandam	217 0.8×	341 1.4×	119 0.7×	56 0.5×	99 0.8×	14	881
Lee H. Silbert	313 1.1×	168 0.7×	211 1.2×	121 1.0×	77 0.6×	12	834
Song Lin	296 1.1×	157 0.6×	167 1.0×	89 0.7×	203 1.7×	30	760
Danielle M. Friend	395 1.4×	177 0.7×	97 0.6×	72 0.6×	82 0.7×	14	731
Luc Moquin	312 1.1×	161 0.7×	126 0.7×	138 1.1×	88 0.7×	28	863
Dean Kirson	324 1.2×	142 0.6×	233 1.4×	97 0.8×	80 0.7×	27	664
Eli Sørensen	253 0.9×	278 1.1×	266 1.6×	181 1.5×	169 1.4×	15	794
Christopher S. Oleata	424 1.5×	141 0.6×	308 1.8×	98 0.8×	115 0.9×	22	730
Sonia R. Kameda	373 1.3×	430 1.8×	134 0.8×	177 1.4×	54 0.4×	21	890

Countries citing papers authored by Rachel A. Daut

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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.

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