Danilo De Gregorio

3.5k citations
53 papers · 2.6k · h-index 27

Impact in

Papers in

Danilo De Gregorio

52 papers receiving 2.6k citations

Peers

Danilo De Gregorio
Comparison fields: 5 of 116
  • Biological Psychiatry 335
  • Cellular and Molecular Neuroscience 898
  • Pharmacology 669
  • Clinical Psychology 791
  • Endocrine and Autonomic Systems 192
Replace Claudio D’Addario with:
Claudio D’Addario Italy
Caroline Biojone Brazil
Przemysław Bieńkowski Poland
DAVID J. NUTT United Kingdom
Sharon C. Cheetham United Kingdom
João Paulo Maia‐de‐Oliveira Brazil
Betina Elfving Denmark
Dorotea Mück‐Šeler Croatia
Karel Valeš Czechia
Agnieszka Nikiforuk Poland
Danilo De Gregorio relative to Claudio D’Addario Italy Claudio D’Addario's profile →
Citations per field
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Citations per year

Countries citing papers authored by Danilo De Gregorio

Since Specialization
Citations

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

Fields of papers citing papers by Danilo De Gregorio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danilo De Gregorio. 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 Danilo De Gregorio. The network helps show where Danilo De Gregorio may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018301
2 2017291
3 2020177
4 2020160
5 2015117
6 2020108
7 2020104
8 202198
9 201694
10 201688
11 201575
12 201872
13 201867
14 202260
15 201560
16 201760
17 201855
18 201750
19 201050
20 201943

About Danilo De Gregorio

Danilo De Gregorio is a scholar working on Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems, Clinical Psychology, Pharmacology and Physiology, having authored 53 papers that have together received 2.6k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (19 papers), Psychedelics and Drug Studies (18 papers), Pain Mechanisms and Treatments (12 papers), Cannabis and Cannabinoid Research (11 papers), Circadian rhythm and melatonin (11 papers), Neuroendocrine regulation and behavior (8 papers), Neuroscience and Neuropharmacology Research (8 papers) and Chemical synthesis and alkaloids (6 papers). The work is most often cited by research in Biological Psychiatry (335 citations), Cellular and Molecular Neuroscience (898 citations), Pharmacology (669 citations), Clinical Psychology (791 citations) and Endocrine and Autonomic Systems (192 citations). Danilo De Gregorio has collaborated with scholars based in Italy, Canada and United States. Frequent co-authors include Gabriella Gobbi, Stefano Comai, Luca Posa, Sabatino Maione, Antonio Inserra, Martha López-Canul, Justine P. Enns, Livio Luongo, Rafael Ochoa‐Sanchez and Vito de Novellis. Their work appears in journals such as Pharmacological Research, International Journal of Molecular Sciences, Journal of Pineal Research, Progress in Neuro-Psychopharmacology and Biological Psychiatry and Journal of Neuroscience.

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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