Cait M. Williamson

677 total citations
8 papers, 443 citations indexed

About

Cait M. Williamson is a scholar working on Social Psychology, Ecology, Evolution, Behavior and Systematics and Behavioral Neuroscience. According to data from OpenAlex, Cait M. Williamson has authored 8 papers receiving a total of 443 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Social Psychology, 5 papers in Ecology, Evolution, Behavior and Systematics and 3 papers in Behavioral Neuroscience. Recurrent topics in Cait M. Williamson's work include Neuroendocrine regulation and behavior (7 papers), Animal Behavior and Reproduction (5 papers) and Stress Responses and Cortisol (3 papers). Cait M. Williamson is often cited by papers focused on Neuroendocrine regulation and behavior (7 papers), Animal Behavior and Reproduction (5 papers) and Stress Responses and Cortisol (3 papers). Cait M. Williamson collaborates with scholars based in United States and Canada. Cait M. Williamson's co-authors include James P. Curley, Won Lee, Russell D. Romeo, Becca Franks, Eleanor H. Simpson, Rae Silver, Matthew R. Bailey, Christopher Mezias, Peter D. Balsam and Greg Jensen and has published in prestigious journals such as Scientific Reports, Animal Behaviour and Psychopharmacology.

In The Last Decade

Cait M. Williamson

8 papers receiving 439 citations

Peers

Cait M. Williamson
Comparison fields: 5 of 67
  • Social Psychology 275
  • Behavioral Neuroscience 123
  • Ecology, Evolution, Behavior and Systematics 106
  • Cellular and Molecular Neuroscience 94
  • Cognitive Neuroscience 74
Replace Annet L. Louwerse with:
Annet L. Louwerse Netherlands
Won Lee United States
Sharon A. Stevenson United States
P.J.A. Timmermans Netherlands
Evelyn F. Field Canada
Heather C. Bell United States
Brett T. Himmler Canada
J. Michael Bowers United States
Jonathan Chabout United States
Chana K. Akins United States
Annet L. Louwerse Netherlands View profile →
Citations per field, relative to Cait M. Williamson
Cait M. Williamson · 1×
Citations per year, relative to Cait M. Williamson
Cait M. Williamson · 1×

Countries citing papers authored by Cait M. Williamson

Since Specialization
Citations

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

Fields of papers citing papers by Cait M. Williamson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cait M. Williamson. 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 Cait M. Williamson. The network helps show where Cait M. Williamson may publish in the future.

Co-authorship network of co-authors of Cait M. Williamson

This figure shows the co-authorship network connecting the top 25 collaborators of Cait M. Williamson. A scholar is included among the top collaborators of Cait M. Williamson 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 Cait M. Williamson. Cait M. Williamson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
# Work Indexed citations
1 68
2 25
3 82
4 46
5 48
6 101
7 30
8 43

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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