Tara S. Perrot-Sinal

2.3k citations
34 papers · 1.9k indexed · h-index 25
Topics
Neuroendocrine regulation and behavior (23 papers)Stress Responses and Cortisol (15 papers)Neuroscience and Neuropharmacology Research (7 papers)

In The Last Decade

Tara S. Perrot-Sinal

34 papers receiving 1.9k citations

Peers

Tara S. Perrot-Sinal
Comparison fields: 5 of 93
  • Behavioral Neuroscience 817
  • Social Psychology 783
  • Cellular and Molecular Neuroscience 497
  • Cognitive Neuroscience 406
  • Molecular Biology 214
Replace Francesca R. D’Amato with:
Francesca R. D’Amato Italy
George T. Taylor United States
Brian Dias United States
Christina R. McKittrick United States
Craig H. Kinsley United States
Stephen C. Maxson United States
Kenneth J. Renner United States
G. Flügge Germany
Stephen C. Gammie United States
Isabelle Weiss Switzerland
Tara S. Perrot-Sinal relative to Francesca R. D’Amato Italy Francesca R. D’Amato's profile →
Citations per field
00.5×1.5×
Francesca R. D’Amato · 1×
Citations per year

Countries citing papers authored by Tara S. Perrot-Sinal

Since Specialization
Citations

This map shows the geographic impact of Tara S. Perrot-Sinal'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 Tara S. Perrot-Sinal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tara S. Perrot-Sinal more than expected).

Fields of papers citing papers by Tara S. Perrot-Sinal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tara S. Perrot-Sinal. 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 Tara S. Perrot-Sinal. The network helps show where Tara S. Perrot-Sinal may publish in the future.

Co-authorship network of co-authors of Tara S. Perrot-Sinal

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 41
2 28
3 47
4 124
5 78
6 42
7 116
8 52
9 162
10 43
11 39
12 50
13 59
14 72
15 22
16 40
17 17
18 28
19 205
20 75

About Tara S. Perrot-Sinal

Tara S. Perrot-Sinal is a scholar working on Behavioral Neuroscience, Biological Psychiatry and Social Psychology, having authored 34 papers that have together received 1.9k indexed citations. Recurring topics across this work include Neuroendocrine regulation and behavior (23 papers), Stress Responses and Cortisol (15 papers) and Neuroscience and Neuropharmacology Research (7 papers). The work is most often cited by research in Behavioral Neuroscience (817 citations), Biological Psychiatry (162 citations) and Developmental Neuroscience (187 citations). Tara S. Perrot-Sinal has collaborated with scholars based in Canada, United States and Ireland. Frequent co-authors include Martin Kavaliers, Klaus‐Peter Ossenkopp, Margaret M. McCarthy, Tamara B. Franklin, Lisa E. Kalynchuk, Anthony P. Auger, Christopher J. Sinal, Aline M. Davis, Liisa A.M. Galea and Rahia Mashoodh. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and 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.

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