Angelo Quaranta

61 papers receiving 1.9k citations

Peers

Angelo Quaranta
Comparison fields: 5 of 116
  • Developmental Biology 169
  • Small Animals 451
  • Equine 86
  • Cognitive Neuroscience 790
  • Genetics 1.1k
Replace Marcello Siniscalchi with:
Marcello Siniscalchi Italy
Anna Wilkinson United Kingdom
Shanis Barnard Italy
Oliver H. P. Burman United Kingdom
Yuying Hsu Taiwan
Luděk Bartoš Czechia
Kazutaka Mogi Japan
Morten Bakken Norway
Jan Langbein Germany
Lieta Marinelli Italy
Angelo Quaranta relative to Marcello Siniscalchi Italy Marcello Siniscalchi's profile →
Citations per field
00.5×1.5×
Marcello Siniscalchi · 1×
Citations per year

Countries citing papers authored by Angelo Quaranta

Since Specialization
Citations

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

Fields of papers citing papers by Angelo Quaranta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Angelo Quaranta, 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 Angelo Quaranta Line = papers co-authored together Angelo Quaranta links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008144
2 2009124
3 2004118
4 2010114
5 2018104
6 2013100
7 201192
8 201677
9 201868
10 202063
11 200855
12 201850
13 201249
14 201748
15 201445
16 201742
17 201342
18 200542
19 202141
20 201240

About Angelo Quaranta

Angelo Quaranta is a scholar working on Genetics, Cognitive Neuroscience, Social Psychology, Small Animals and Molecular Biology, having authored 63 papers that have together received 2.0k indexed citations. Recurring topics across this work include Human-Animal Interaction Studies (35 papers), Hemispheric Asymmetry in Neuroscience (25 papers), Neuroendocrine regulation and behavior (12 papers), Animal Vocal Communication and Behavior (7 papers), Animal Behavior and Welfare Studies (6 papers), Child and Animal Learning Development (5 papers), Primate Behavior and Ecology (5 papers) and Infant Health and Development (4 papers). The work is most often cited by research in Developmental Biology (169 citations), Small Animals (451 citations), Equine (86 citations), Cognitive Neuroscience (790 citations) and Genetics (1.1k citations). Angelo Quaranta has collaborated with scholars based in Italy, Australia and Albania. Frequent co-authors include Marcello Siniscalchi, Serenella d’Ingeo, Giorgio Vallortígara, Lesley J. Rogers, Anna Alvazzi del Frate, C. Lippe, Giuseppe Cassano, Salvatore Dimatteo, Barbara Padalino and Adriana Di Trana. Their work appears in journals such as Animals, Laterality Asymmetries of Body Brain and Cognition, Behavioural Brain Research, Scientific Reports 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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