Veniero Gambaro

1.1k citations
60 papers · 782 indexed · h-index 18

Veniero Gambaro

60 papers receiving 754 citations

Peers

Veniero Gambaro
Comparison fields: 5 of 98
  • Toxicology 194
  • Pharmacology 243
  • Spectroscopy 124
  • Anesthesiology and Pain Medicine 31
  • Analytical Chemistry 53
Replace Gabriella Roda with:
Gabriella Roda Italy
Carl E. Wolf United States
Manuela Licata Italy
Maryam Akhgari Iran
Fumio Moriya Japan
Eunmi Kim South Korea
Helena M. Teixeira Portugal
Franz Dussy Switzerland
Sanggil Choe South Korea
Amitava Dasgupta United States
Veniero Gambaro relative to Gabriella Roda Italy Gabriella Roda's profile →
Citations per field
00.5×1.5×2.2×
Gabriella Roda · 1×
Citations per year

Countries citing papers authored by Veniero Gambaro

Since Specialization
Citations

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

Fields of papers citing papers by Veniero Gambaro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202111
2
LC-MS/MS analysis to study serum profile of short and medium chain fatty acids
20201
3 202042
4 201915
5 201616
6 20154
7 201317
8 201214
9 201219
10 201119
11 200715
12 20079
13 200723
14 20061
15 20068
16 200417
17 200333
18 20034
19
La presencia de nicotina en extractos y decocciones de flores de Brugmansia Candida Pers.
19893
20
La presencia de nor-Hioscina y Hioscina en flores de Brugmansia candida Pers. como posible característica de su procedencia
19881

About Veniero Gambaro

Veniero Gambaro is a scholar working on Toxicology, Analytical Chemistry and Pharmacology, having authored 60 papers that have together received 782 indexed citations. Recurring topics across this work include Forensic Toxicology and Drug Analysis (15 papers), Analytical Chemistry and Chromatography (9 papers), Cannabis and Cannabinoid Research (9 papers), Psychedelics and Drug Studies (7 papers), Analytical Methods in Pharmaceuticals (7 papers), Neuroscience and Neuropharmacology Research (5 papers), Pesticide Residue Analysis and Safety (4 papers) and Poisoning and overdose treatments (4 papers). The work is most often cited by research in Toxicology (194 citations), Pharmacology (243 citations) and Spectroscopy (124 citations). Veniero Gambaro has collaborated with scholars based in Italy, Spain and Belgium. Frequent co-authors include Gabriella Roda, Eleonora Casagni, Rino Froldi, Michele Dei, Chiara Rusconi, Giovanna Tassoni, Paola Minghetti, Antonella Casiraghi, Marco Pallavicini and Gelsomina Fico. Their work appears in journals such as Journal of Chromatography A, Analytica Chimica Acta and Nutrients.

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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