Chantal M. Prewitt

1.2k citations
7 papers · 1.0k indexed · h-index 7
Topics
Stress Responses and Cortisol (4 papers)Neuroendocrine regulation and behavior (2 papers)Innovations in Medical Education (2 papers)
Partner nations
United StatesItaly

In The Last Decade

Chantal M. Prewitt

7 papers receiving 1.0k citations

Peers

Chantal M. Prewitt
Comparison fields: 5 of 85
  • Behavioral Neuroscience 501
  • Social Psychology 361
  • Cellular and Molecular Neuroscience 229
  • Biomedical Engineering 159
  • Endocrine and Autonomic Systems 153
Replace B. Dubrovsky with:
B. Dubrovsky Canada
Sarah C. Coste United States
T. Shibasaki Japan
Jan S. Purba Indonesia
Olaf Schulte‐Herbrüggen Germany
Kouki Fukuhara Japan
Melanie R. Bollnow United States
Ichiro Kita Japan
Leo Enthoven Netherlands
Disheng Men United States
Chantal M. Prewitt relative to B. Dubrovsky Canada B. Dubrovsky's profile →
Citations per field
00.5×4.4×
B. Dubrovsky · 1×
Citations per year

Countries citing papers authored by Chantal M. Prewitt

Since Specialization
Citations

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

Fields of papers citing papers by Chantal M. Prewitt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chantal M. Prewitt

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

All Works

7 of 7 papers shown
#WorkIndexed citations
1 160
2 15
3 166
4 67
5 217
6 396
7 27

About Chantal M. Prewitt

Chantal M. Prewitt is a scholar working on Behavioral Neuroscience, Developmental Neuroscience and Endocrine and Autonomic Systems, having authored 7 papers that have together received 1.0k indexed citations. Recurring topics across this work include Stress Responses and Cortisol (4 papers), Neuroendocrine regulation and behavior (2 papers) and Innovations in Medical Education (2 papers). The work is most often cited by research in Behavioral Neuroscience (501 citations), Biological Psychiatry (136 citations) and Developmental Neuroscience (103 citations). Chantal M. Prewitt has collaborated with scholars based in United States and Italy. Frequent co-authors include James P. Herman, David J. Adams, Richard L. Drake, Cynthia J.M. Kane, John D. Houlé and Ingrid R. Niesman. Their work appears in journals such as Annals of the New York Academy of Sciences, Experimental Neurology and The Anatomical Record.

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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