Manuela Licata

1.0k citations
27 papers · 792 indexed · h-index 15

Impact in

  • Toxicology top 1%
    • Forensic Toxicology and Drug Analysis
    • Cannabis and Cannabinoid Research

Papers in

Manuela Licata

26 papers receiving 765 citations

Peers

Manuela Licata
Comparison fields: 5 of 103
  • Toxicology 174
  • Pharmacology 343
  • Endocrinology, Diabetes and Metabolism 161
  • Biological Psychiatry 14
  • Cellular and Molecular Neuroscience 91
Replace Veniero Gambaro with:
Veniero Gambaro Italy
Jochen Beyer Australia
Fabien Bévalot France
Yvan Gaillard France
Jihyun Kim South Korea
Baohua Shen China
R. H. Barry Sample United States
J. Zámečník Canada
Simon Hudson United Kingdom
Frank Sporkert Switzerland
Manuela Licata relative to Veniero Gambaro Italy Veniero Gambaro's profile →
Citations per field
00.5×4.5×
Veniero Gambaro · 1×
Citations per year

Countries citing papers authored by Manuela Licata

Since Specialization
Citations

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

Fields of papers citing papers by Manuela Licata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201938
2 20197
3 2019110
4 201833
5 201825
6 20185
7 201822
8 201753
9 201711
10 201620
11 20163
12 201613
13 201643
14 20157
15 20153
16 201527
17 201424
18 201313
19 200966
20 2005123

About Manuela Licata

Manuela Licata is a scholar working on Toxicology, Pharmacology, Pathology and Forensic Medicine, Endocrinology, Diabetes and Metabolism and Small Animals, having authored 27 papers that have together received 792 indexed citations. Recurring topics across this work include Forensic Toxicology and Drug Analysis (13 papers), Cannabis and Cannabinoid Research (9 papers), Hormonal and reproductive studies (5 papers), Migraine and Headache Studies (4 papers), Alcohol Consumption and Health Effects (4 papers), GABA and Rice Research (3 papers), Poisoning and overdose treatments (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Toxicology (174 citations), Pharmacology (343 citations), Endocrinology, Diabetes and Metabolism (161 citations), Biological Psychiatry (14 citations) and Cellular and Molecular Neuroscience (91 citations). Manuela Licata has collaborated with scholars based in Italy, Switzerland and United States. Frequent co-authors include Enrico Silingardi, Giovanni Beduschi, Federica Palazzoli, Virginia Brighenti, Federica Pellati, Anna Ferrari, Cecilia Rustichelli, Stefania Benvenuti, Vittorio Fineschi and Steven B. Karch. Their work appears in journals such as Journal of Pharmaceutical and Biomedical Analysis, Journal of Forensic and Legal Medicine, European Journal of Clinical Pharmacology, American Journal of Forensic Medicine & Pathology and European Addiction Research.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026