Francesca R. D’Amato

4.6k citations
111 papers · 3.4k indexed · h-index 35

Francesca R. D’Amato

111 papers receiving 3.4k citations

Peers

Francesca R. D’Amato
Comparison fields: 5 of 119
  • Behavioral Neuroscience 907
  • Developmental Biology 329
  • Social Psychology 1.9k
  • Biological Psychiatry 165
  • Pharmacy 282
Replace Berry M. Spruijt with:
Berry M. Spruijt Netherlands
Anna Moles Italy
James Winslow United States
Vivien C. Pellis Canada
Elena Choleris Canada
Harry N. Shair United States
Brian C. Trainor United States
Benjamin D. Sachs United States
María Luisa Scattoni Italy
Katharina Braun Germany
Francesca R. D’Amato relative to Berry M. Spruijt Netherlands Berry M. Spruijt's profile →
Citations per field
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Berry M. Spruijt · 1×
Citations per year

Countries citing papers authored by Francesca R. D’Amato

Since Specialization
Citations

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

Fields of papers citing papers by Francesca R. D’Amato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Francesca R. D’Amato. 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 Francesca R. D’Amato. The network helps show where Francesca R. D’Amato may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Francesca R. D’Amato, 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 Francesca R. D’Amato Line = papers co-authored together Francesca R. D’Amato links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20221
2 20215
3 202113
4 20219
5 20216
6 202017
7 201730
8 201716
9 201717
10 20154
11 201220
12 201015
13 200839
14
Ultrasonic vocalizations in mice and rats: social contexts and functions
200642
15 200029
16 199611
17 199438
18 199414
19 199215
20 198751

About Francesca R. D’Amato

Francesca R. D’Amato is a scholar working on Behavioral Neuroscience, Social Psychology and Developmental Biology, having authored 111 papers that have together received 3.4k indexed citations. Recurring topics across this work include Neuroendocrine regulation and behavior (74 papers), Stress Responses and Cortisol (39 papers), Primate Behavior and Ecology (15 papers), Neurotransmitter Receptor Influence on Behavior (12 papers), Animal Behavior and Reproduction (11 papers), Olfactory and Sensory Function Studies (9 papers), Child and Adolescent Psychosocial and Emotional Development (8 papers) and Animal Vocal Communication and Behavior (8 papers). The work is most often cited by research in Behavioral Neuroscience (907 citations), Developmental Biology (329 citations) and Social Psychology (1.9k citations). Francesca R. D’Amato has collaborated with scholars based in Italy, Canada and France. Frequent co-authors include Anna Moles, Brigitte L. Kieffer, Alfonso Troisi, Simona Cabib, Flaminia Pavone, Diego Oddi, Wim E. Crusio, Susanna Pietropaolo, Roberto Coccurello and Claudio Zanettini. Their work appears in journals such as Science, Journal of Clinical Oncology and PLoS ONE.

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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