Catherine Cerruti

608 citations
9 papers · 519 indexed · h-index 9
Topics
Neuroscience and Neuropharmacology Research (5 papers)Neurotransmitter Receptor Influence on Behavior (5 papers)Receptor Mechanisms and Signaling (4 papers)

In The Last Decade

Catherine Cerruti

9 papers receiving 508 citations

Peers

Catherine Cerruti
Comparison fields: 5 of 65
  • Cellular and Molecular Neuroscience 394
  • Molecular Biology 287
  • Neurology 91
  • Developmental Neuroscience 30
  • Physiology 28
Replace Charles E. Inturrisi with:
Charles E. Inturrisi United States
Zi-Zhen Wu United States
M Assumpció Boronat Spain
Jean Rataud France
Gisela Kindel United States
Kaisa Hellevuo United States
Anne Barrie United Kingdom
C.T. O'Shaughnessy United Kingdom
Lingyong Li United States
Paul J. Kontur United States
Catherine Cerruti relative to Charles E. Inturrisi United States Charles E. Inturrisi's profile →
Citations per field
00.5×2.9×
Charles E. Inturrisi · 1×
Citations per year

Countries citing papers authored by Catherine Cerruti

Since Specialization
Citations

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

Fields of papers citing papers by Catherine Cerruti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Catherine Cerruti

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

All Works

9 of 9 papers shown
#WorkIndexed citations
1 30
2 45
3 23
4 65
5 78
6 105
7 14
8 26
9 133

About Catherine Cerruti

Catherine Cerruti is a scholar working on Physiology, Cellular and Molecular Neuroscience and Endocrine and Autonomic Systems, having authored 9 papers that have together received 519 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (5 papers), Neurotransmitter Receptor Influence on Behavior (5 papers) and Receptor Mechanisms and Signaling (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (394 citations), Developmental Neuroscience (30 citations) and Neurology (91 citations). Catherine Cerruti has collaborated with scholars based in United States, France and Ireland. Frequent co-authors include Michael J. Kuhar, George R. Uhl, Jean‐Marc Kamenka, Valérie Pinet, Jacques Vignon, Robert Chicheportiche, Donna Walther, Nancy S. Pilotte, Peilin Sheng and Amrat Patel. Their work appears in journals such as Brain Research, Annals of the New York Academy of Sciences and Life Sciences.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026