Manuela Licata

26 papers receiving 817 citations

Peers

Manuela Licata
Comparison fields: 5 of 101
  • Toxicology 177
  • Pharmacology 341
  • Endocrinology, Diabetes and Metabolism 166
  • Biological Psychiatry 12
  • Cellular and Molecular Neuroscience 85
Replace Veniero Gambaro with:
Veniero Gambaro Italy
Baohua Shen China
Fabien Bévalot France
Simon Hudson United Kingdom
Fernanda Regina de Castro Almeida Brazil
Gilbert Pépin Slovenia
Daniele Di Corcia Italy
R. H. Barry Sample United States
Yuji Nakahara Japan
María del Mar Ramírez Fernández Belgium
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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-authors

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

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005133
2 2019115
3 200973
4 199457
5 202057
6 201755
7 201645
8 201940
9 201833
10 201529
11 201428
12 201827
13 201624
14 201822
15
Delta9 THC content in illicit cannabis products over the period 1997-2004 (first four months).
200521
16 201614
17 201313
18 201612
19 201711
20 20189

About Manuela Licata

Manuela Licata is a scholar working on Toxicology, Pharmacology, Pathology and Forensic Medicine, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine, having authored 27 papers that have together received 847 indexed citations. Recurring topics across this work include Forensic Toxicology and Drug Analysis (12 papers), Cannabis and Cannabinoid Research (8 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), Cardiac electrophysiology and arrhythmias (2 papers) and Cardiovascular Effects of Exercise (2 papers). The work is most often cited by research in Toxicology (177 citations), Pharmacology (341 citations), Endocrinology, Diabetes and Metabolism (166 citations), Biological Psychiatry (12 citations) and Cellular and Molecular Neuroscience (85 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, Steven B. Karch and Irene Riezzo. Their work appears in journals such as Journal of Pharmaceutical and Biomedical Analysis, European Journal of Clinical Pharmacology, Journal of Forensic and Legal Medicine, American Journal of Forensic Medicine & Pathology and Journal of Forensic Sciences.

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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