Davide Amato

2.1k citations
31 papers · 1.1k · h-index 17

Impact in

    • Traditional and Medicinal Uses of Annonaceae
    • Alkaloids: synthesis and pharmacology

Papers in

Davide Amato

28 papers receiving 1.0k citations

Peers

Davide Amato
Comparison fields: 5 of 90
  • Biochemistry 337
  • Pharmacology 395
  • Biological Psychiatry 91
  • Cellular and Molecular Neuroscience 399
  • Behavioral Neuroscience 49
Replace Ryszard J. Oles with:
Ryszard J. Oles United Kingdom
Clinton E. Canal United States
H. Coper Germany
L. Singh United Kingdom
Ann G. Hayes United Kingdom
Roy Corbett United States
Christine L. Melchior United States
Mitsutaka Nakamura Japan
L. Maître Switzerland
James A. Totaro United States
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Citations per field
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Ryszard J. Oles · 1×
Citations per year

Countries citing papers authored by Davide Amato

Since Specialization
Citations

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

Fields of papers citing papers by Davide Amato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012305
2 2014110
3 201579
4 201165
5 201761
6 201856
7 201145
8 201244
9 201440
10 201936
11 201634
12 202124
13 200622
14 202121
15 200818
16 202118
17 201217
18 200813
19 201511
20 200610

About Davide Amato

Davide Amato is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Psychiatry and Mental health, Behavioral Neuroscience and Neurology, having authored 31 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (17 papers), Neuroscience and Neuropharmacology Research (13 papers), Receptor Mechanisms and Signaling (9 papers), Schizophrenia research and treatment (7 papers), Stress Responses and Cortisol (4 papers), Neurological disorders and treatments (2 papers), Neuroendocrine regulation and behavior (2 papers) and IoT Networks and Protocols (2 papers). The work is most often cited by research in Biochemistry (337 citations), Pharmacology (395 citations), Biological Psychiatry (91 citations), Cellular and Molecular Neuroscience (399 citations) and Behavioral Neuroscience (49 citations). Davide Amato has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Christian P. Müller, Sharif Mahsufi Mansor, Farah Wahida Suhaimi, Visweswaran Navaratnam, Raja Vadivelu, Zurina Hassan, Nurul H.M. Yusoff, Anthony C. Vernon, Stephan von Hörsten and Nanthini Jayabalan. Their work appears in journals such as Behavioural Brain Research, Molecular Psychiatry, Neuroscience & Biobehavioral Reviews, Psychopharmacology and Journal of Psychopharmacology.

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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