Sarah Canetta

1.3k citations
21 papers · 936 · h-index 13

Impact in

Papers in

Sarah Canetta

21 papers receiving 923 citations

Peers

Sarah Canetta
Comparison fields: 5 of 73
  • Biological Psychiatry 264
  • Behavioral Neuroscience 168
  • Neurology 104
  • Cellular and Molecular Neuroscience 238
  • Cognitive Neuroscience 236
Replace Marie A. Labouesse with:
Marie A. Labouesse Switzerland
Mareike Voget Germany
Stéphanie Vuillermot Switzerland
Duncan Sinclair Australia
Sandra Giovanoli Switzerland
Steven S. Zalcman United States
Phuong K. Tran United States
Anaïs Djodari-Irani Germany
J. Feldon Switzerland
Benjamin Hing United States
Sarah Canetta relative to Marie A. Labouesse Switzerland Marie A. Labouesse's profile →
Citations per field
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Marie A. Labouesse · 1×
Citations per year

Countries citing papers authored by Sarah Canetta

Since Specialization
Citations

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

Fields of papers citing papers by Sarah Canetta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sarah Canetta, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sarah Canetta Line = papers co-authored together Sarah Canetta links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016171
2 2014168
3 2014111
4 201995
5 201269
6 201751
7 201751
8 200850
9 202236
10 202233
11 202229
12 201818
13 201114
14 202012
15 20207
16 20087
17
Elevated Maternal C-reactive Protein and Increased Risk of Schizophrenia in a National Birth Cohort
20144
18 20213
19 20243
20 20242

About Sarah Canetta

Sarah Canetta is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Molecular Biology, Biological Psychiatry and Social Psychology, having authored 21 papers that have together received 936 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (7 papers), Neural dynamics and brain function (6 papers), Memory and Neural Mechanisms (5 papers), Tryptophan and brain disorders (4 papers), Receptor Mechanisms and Signaling (4 papers), Neuroendocrine regulation and behavior (3 papers), Neurotransmitter Receptor Influence on Behavior (3 papers) and Nicotinic Acetylcholine Receptors Study (3 papers). The work is most often cited by research in Biological Psychiatry (264 citations), Behavioral Neuroscience (168 citations), Neurology (104 citations), Cellular and Molecular Neuroscience (238 citations) and Cognitive Neuroscience (236 citations). Sarah Canetta has collaborated with scholars based in United States, Bulgaria and Canada. Frequent co-authors include Christoph Kellendonk, Alan S. Brown, Alan S. Brown, Joshua A. Gordon, Nancy Padilla-Coreano, André Sourander, Ian W. McKeague, Susanna Hinkka‐Yli‐Salomäki, Jaana Leiviskä and Heljä‐Marja Surcel. Their work appears in journals such as American Journal of Psychiatry, Molecular Psychiatry, eNeuro, Developmental Neuroscience and Cell Reports.

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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