Antonio d’Amore
- Public Health, Environmental and Occupational Health top 10%
- Cellular and Molecular Neuroscience top 10%
- Physiology
- Behavioral Neuroscience top 5%
- Social Psychology top 10%
- Co-authors
- Alberto LoizzoStefano PierettiRoberta MasellaBeatrice ScazzocchioRosaria Varı́Claudio GiovanniniSandra GessaniFlavia Chiarotti
- Topics
- Stress Responses and Cortisol (7 papers)Neuropeptides and Animal Physiology (7 papers)Neurotransmitter Receptor Influence on Behavior (6 papers)
- Journals
- Journal of Pharmacology and Experimental TherapeuticsBritish Journal of PharmacologyInternational Journal of Obesity
- Partner nations
- Italy
In The Last Decade
Antonio d’Amore
28 papers receiving 633 citations
Peers
Comparison fields: 5 of 86
- Public Health, Environmental and Occupational Health 162
- Cellular and Molecular Neuroscience 156
- Physiology 126
- Behavioral Neuroscience 125
- Social Psychology 102
Countries citing papers authored by Antonio d’Amore
This map shows the geographic impact of Antonio d’Amore'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 Antonio d’Amore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antonio d’Amore more than expected).
Fields of papers citing papers by Antonio d’Amore
This network shows the impact of papers produced by Antonio d’Amore. 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 Antonio d’Amore. The network helps show where Antonio d’Amore may publish in the future.
Co-authorship network of co-authors of Antonio d’Amore
This figure shows the co-authorship network connecting the top 25 collaborators of Antonio d’Amore. A scholar is included among the top collaborators of Antonio d’Amore 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 Antonio d’Amore. Antonio d’Amore is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 4 | |
| 3 | 15 | |
| 4 | 106 | |
| 5 | 3 | |
| 6 | 27 | |
| 7 | 56 | |
| 8 | 6 | |
| 9 | 74 | |
| 10 | 28 | |
| 11 | 50 | |
| 12 | 15 | |
| 13 | 2 | |
| 14 | 3 | |
| 15 | 28 | |
| 16 | 20 | |
| 17 | 25 | |
| 18 | 6 | |
| 19 | 12 | |
| 20 | 13 |
About Antonio d’Amore
Antonio d’Amore is a scholar working on Behavioral Neuroscience, Developmental Neuroscience and Cellular and Molecular Neuroscience, having authored 28 papers that have together received 649 indexed citations. Recurring topics across this work include Stress Responses and Cortisol (7 papers), Neuropeptides and Animal Physiology (7 papers) and Neurotransmitter Receptor Influence on Behavior (6 papers). The work is most often cited by research in Behavioral Neuroscience (125 citations), Cellular and Molecular Neuroscience (156 citations) and Biological Psychiatry (21 citations). Antonio d’Amore has collaborated with scholars based in Italy. Frequent co-authors include Alberto Loizzo, Stefano Pieretti, Roberta Masella, Beatrice Scazzocchio, Rosaria Varı́, Claudio Giovannini, Sandra Gessani, Flavia Chiarotti, Gilberto Gerra and Paolo Renzi. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, British Journal of Pharmacology and International Journal of Obesity.
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.