Nadia De Giovanni

1.1k total citations
46 papers, 796 citations indexed

About

Nadia De Giovanni is a scholar working on Toxicology, Pathology and Forensic Medicine and Spectroscopy. According to data from OpenAlex, Nadia De Giovanni has authored 46 papers receiving a total of 796 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Toxicology, 12 papers in Pathology and Forensic Medicine and 10 papers in Spectroscopy. Recurrent topics in Nadia De Giovanni's work include Forensic Toxicology and Drug Analysis (22 papers), Alcohol Consumption and Health Effects (11 papers) and Analytical Chemistry and Chromatography (8 papers). Nadia De Giovanni is often cited by papers focused on Forensic Toxicology and Drug Analysis (22 papers), Alcohol Consumption and Health Effects (11 papers) and Analytical Chemistry and Chromatography (8 papers). Nadia De Giovanni collaborates with scholars based in Italy, Japan and Spain. Nadia De Giovanni's co-authors include Nadia Fucci, Marcello Chiarotti, Daniela Marchetti, Sabina Strano Rossi, Ernesto d’Aloja, Sara Odoardi, Francesca Cittadini, Vincenzo L. Pascali, Maria Pia De Carolis and Fabio De‐Giorgio and has published in prestigious journals such as Scientific Reports, Journal of Chromatography A and Current Medicinal Chemistry.

In The Last Decade

Nadia De Giovanni

46 papers receiving 761 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Nadia De Giovanni Italy 18 337 200 146 129 125 46 796
Ilpo Rasanen Finland 18 373 1.1× 292 1.5× 144 1.0× 89 0.7× 89 0.7× 40 901
Nadia Fucci Italy 18 403 1.2× 198 1.0× 137 0.9× 140 1.1× 119 1.0× 51 854
Francis M. Urry United States 17 189 0.6× 225 1.1× 155 1.1× 60 0.5× 148 1.2× 28 1.0k
Solfrid Hegstad Norway 16 237 0.7× 166 0.8× 143 1.0× 45 0.3× 83 0.7× 33 695
Jin Young Kim South Korea 16 342 1.0× 168 0.8× 109 0.7× 67 0.5× 129 1.0× 53 681
Tamsin Kelly Australia 19 193 0.6× 172 0.9× 80 0.5× 99 0.8× 56 0.4× 50 1.1k
C. Jurado Spain 13 535 1.6× 232 1.2× 127 0.9× 47 0.4× 114 0.9× 31 943
Robert Meatherall Canada 20 326 1.0× 164 0.8× 117 0.8× 80 0.6× 100 0.8× 44 845
Helena M. Teixeira Portugal 20 449 1.3× 155 0.8× 145 1.0× 50 0.4× 282 2.3× 52 1.2k
Dennis V. Canfield United States 17 208 0.6× 112 0.6× 94 0.6× 47 0.4× 78 0.6× 69 722

Countries citing papers authored by Nadia De Giovanni

Since Specialization
Citations

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

Fields of papers citing papers by Nadia De Giovanni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nadia De Giovanni

This figure shows the co-authorship network connecting the top 25 collaborators of Nadia De Giovanni. A scholar is included among the top collaborators of Nadia De Giovanni 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 Nadia De Giovanni. Nadia De Giovanni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Cascini, Fidelia, et al.. (2020). A data-driven methodology to discover similarities between cocaine samples. Scientific Reports. 10(1). 15976–15976. 4 indexed citations
2.
Marchetti, Daniela, et al.. (2017). Placenta as alternative specimen to detect in utero cannabis exposure: A systematic review of the literature. Reproductive Toxicology. 73. 250–258. 13 indexed citations
3.
Cabarcos, Pamela, María Jesús Tabernero, José Luis Rodríguez Otero, et al.. (2014). Quantification of fatty acid ethyl esters (FAEE) and ethyl glucuronide (EtG) in meconium for detection of alcohol abuse during pregnancy: Correlation study between both biomarkers. Journal of Pharmaceutical and Biomedical Analysis. 100. 74–78. 16 indexed citations
4.
Cittadini, Francesca, Nadia De Giovanni, Mireia Alcalde, et al.. (2014). Genetic and toxicologic investigation of Sudden Cardiac Death in a patient with Arrhythmogenic Right Ventricular Cardiomyopathy (ARVC) under cocaine and alcohol effects. International Journal of Legal Medicine. 129(1). 89–96. 10 indexed citations
5.
Giovanni, Nadia De & Nadia Fucci. (2013). The Current Status of Sweat Testing For Drugs of Abuse: A Review. Current Medicinal Chemistry. 20(4). 545–561. 115 indexed citations
6.
Fucci, Nadia, Giuseppe Vetrugno, & Nadia De Giovanni. (2013). Drugs of Abuse in Hair. Therapeutic Drug Monitoring. 35(3). 411–413. 4 indexed citations
7.
Giovanni, Nadia De & Nadia Fucci. (2013). The role of methadone in fatalities. Forensic Toxicology. 31(2). 347–350. 1 indexed citations
8.
Giovanni, Nadia De, et al.. (2008). Ethanol Contamination Leads to Fatty Acid Ethyl Esters in Hair Samples. Journal of Analytical Toxicology. 32(2). 156–159. 16 indexed citations
9.
Giovanni, Nadia De, et al.. (2007). The Reliability of Fatty Acid Ethyl Esters (FAEE) as Biological Markers for the Diagnosis of Alcohol Abuse. Journal of Analytical Toxicology. 31(2). 93–97. 27 indexed citations
10.
Giovanni, Nadia De, et al.. (2007). Suicide by Multidrug Ingestion. American Journal of Forensic Medicine & Pathology. 28(1). 55–58. 6 indexed citations
11.
Fucci, Nadia, et al.. (2007). Sweat testing in addicts under methadone treatment: An Italian experience. Forensic Science International. 174(2-3). 107–110. 22 indexed citations
12.
Fucci, Nadia & Nadia De Giovanni. (2007). Methadone in Hair and Sweat From Patients in Long-Term Maintenance Therapy. Therapeutic Drug Monitoring. 29(4). 452–454. 21 indexed citations
13.
Giovanni, Nadia De & Nadia Fucci. (2006). Hypothesis on interferences in kinetic interaction of microparticles in solution (KIMS) technology. Clinical Chemistry and Laboratory Medicine (CCLM). 44(7). 894–7. 2 indexed citations
14.
Fucci, Nadia, et al.. (2005). An evaluation of the Cozart® RapiScan system as an on-site screening tool for drugs of abuse in a non-conventional biological matrix: vitreous humor. Forensic Science International. 156(2-3). 102–105. 21 indexed citations
15.
Fucci, Nadia, Nadia De Giovanni, & Marcello Chiarotti. (2003). Simultaneous detection of some drugs of abuse in saliva samples by SPME technique. Forensic Science International. 134(1). 40–45. 82 indexed citations
16.
Giovanni, Nadia De, et al.. (2002). Cozart Rapiscan System: our experience with saliva tests. Journal of Chromatography B. 773(1). 1–6. 21 indexed citations
17.
Giovanni, Nadia De & Ernesto d’Aloja. (2001). Death due to baclofen and dipyrone ingestion. Forensic Science International. 123(1). 26–32. 25 indexed citations
18.
Fucci, Nadia, et al.. (2001). SPME–GC analysis of THC in saliva samples collected with “EPITOPE” device. Forensic Science International. 119(3). 318–321. 23 indexed citations
19.
Giovanni, Nadia De & Sabina Strano Rossi. (1994). Simultaneous detection of cocaine and heroin metabolites in urine by solid-phase extraction and gas chromatography—mass spectrometry. Journal of Chromatography B Biomedical Sciences and Applications. 658(1). 69–73. 17 indexed citations
20.
Chiarotti, Marcello, Nadia De Giovanni, Elisabetta Bertol, et al.. (1987). Breath alcohol analysis: interlaboratory evaluation of silica gel as trapping system.. PubMed. 24(5). 310–5. 1 indexed citations

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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