Glynis K. Bailey

12 total papers · 671 total citations
12 papers, 569 citations indexed

About

Glynis K. Bailey is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Behavioral Neuroscience. According to data from OpenAlex, Glynis K. Bailey has authored 12 papers receiving a total of 569 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cognitive Neuroscience, 4 papers in Cellular and Molecular Neuroscience and 4 papers in Behavioral Neuroscience. Recurrent topics in Glynis K. Bailey's work include Memory and Neural Mechanisms (9 papers), Stress Responses and Cortisol (4 papers) and Neuroscience and Neuropharmacology Research (4 papers). Glynis K. Bailey is often cited by papers focused on Memory and Neural Mechanisms (9 papers), Stress Responses and Cortisol (4 papers) and Neuroscience and Neuropharmacology Research (4 papers). Glynis K. Bailey collaborates with scholars based in Australia and United Kingdom. Glynis K. Bailey's co-authors include R. Frederick Westbrook, Justin A. Harris, Megan L. Jones, Geoffrey Hall, Michelle Symonds, Vincent Laurent, Rick Richardson, Hiu Tin Leung, Pam Blundell-Birtill and Simon Killcross and has published in prestigious journals such as Behavioural Brain Research, Journal of Experimental Psychology Animal Behavior Processes and Animal Learning & Behavior.

In The Last Decade

Glynis K. Bailey

12 papers receiving 560 citations

Author Peers

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

Author Last Decade Papers Cites
Glynis K. Bailey 476 313 183 120 94 12 569
Stephen Channell 450 0.9× 249 0.8× 116 0.6× 131 1.1× 79 0.8× 16 588
Karienn S. Montgomery 297 0.6× 316 1.0× 117 0.6× 55 0.5× 70 0.7× 15 693
Felisa González 367 0.8× 280 0.9× 93 0.5× 76 0.6× 147 1.6× 33 641
Jeffrey C. Wingard 362 0.8× 217 0.7× 166 0.9× 100 0.8× 114 1.2× 8 608
David Kucharski 263 0.6× 220 0.7× 53 0.3× 298 2.5× 130 1.4× 19 531
José E. Callejas-Aguilera 339 0.7× 212 0.7× 129 0.7× 118 1.0× 130 1.4× 32 520
Gayla Y. Paschall 250 0.5× 233 0.7× 112 0.6× 100 0.8× 99 1.1× 9 533
Shauna L. Parkes 372 0.8× 323 1.0× 136 0.7× 31 0.3× 109 1.2× 24 619
Margo S. Landers 238 0.5× 203 0.6× 175 1.0× 98 0.8× 274 2.9× 9 596
Robert R. Mowrer 424 0.9× 223 0.7× 116 0.6× 58 0.5× 130 1.4× 21 578

Countries citing papers authored by Glynis K. Bailey

Since Specialization
Citations

This map shows the geographic impact of Glynis K. Bailey'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 Glynis K. Bailey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Glynis K. Bailey more than expected).

Fields of papers citing papers by Glynis K. Bailey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Glynis K. Bailey. 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 Glynis K. Bailey. The network helps show where Glynis K. Bailey may publish in the future.

Co-authorship network of co-authors of Glynis K. Bailey

This figure shows the co-authorship network connecting the top 25 collaborators of Glynis K. Bailey. A scholar is included among the top collaborators of Glynis K. Bailey 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 Glynis K. Bailey. Glynis K. Bailey 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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