Caroline Dufresne

780 citations
10 papers · 552 indexed · h-index 9
Topics
Neuroscience and Neuropharmacology Research (4 papers)Peptidase Inhibition and Analysis (3 papers)Neuropeptides and Animal Physiology (3 papers)

In The Last Decade

Caroline Dufresne

10 papers receiving 539 citations

Peers

Caroline Dufresne
Comparison fields: 5 of 89
  • Molecular Biology 197
  • Cellular and Molecular Neuroscience 149
  • Cognitive Neuroscience 141
  • Organic Chemistry 135
  • Computational Theory and Mathematics 72
Replace L.A. Sorbera with:
L.A. Sorbera Spain
Brian D. Spar United States
Rachel Ashworth United Kingdom
Karen Akinsanya United States
Emma T. van der Westhuizen Australia
Jörg Mitterdorfer Austria
Rupa Ray United States
Jennifer M. Frost United States
Baltazar Barrera‐Mera Mexico
Lie Wang United States
Caroline Dufresne relative to L.A. Sorbera Spain L.A. Sorbera's profile →
Citations per field
00.5×5.2×
L.A. Sorbera · 1×
Citations per year

Countries citing papers authored by Caroline Dufresne

Since Specialization
Citations

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

Fields of papers citing papers by Caroline Dufresne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Caroline Dufresne. 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 Caroline Dufresne. The network helps show where Caroline Dufresne may publish in the future.

Co-authorship network of co-authors of Caroline Dufresne

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

All Works

10 of 10 papers shown
#WorkIndexed citations
1 4
2 11
3 13
4 230
5 8
6 25
7 123
8 26
9 44
10 68

About Caroline Dufresne

Caroline Dufresne is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Reproductive Medicine, having authored 10 papers that have together received 552 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (4 papers), Peptidase Inhibition and Analysis (3 papers) and Neuropeptides and Animal Physiology (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (149 citations), Cognitive Neuroscience (141 citations) and Reproductive Medicine (58 citations). Caroline Dufresne has collaborated with scholars based in Canada, Hungary and United States. Frequent co-authors include Anthony Mittermaier, Nicolas Moitessier, Stéphane De Cesco, Martin Deschênes, Philippa C. Lavallée, Nadia Urbain, László Acsády, Hajnalka Bokor, Mark A. Barone and Michel Labrecque. Their work appears in journals such as Journal of Neuroscience, Biochemistry and Journal of Medicinal Chemistry.

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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