Daniela Sorio

459 citations
21 papers · 332 · h-index 10

Impact in

  • Toxicology top 2%
    • Forensic Toxicology and Drug Analysis
  • Spectroscopy top 10%
    • Mass Spectrometry Techniques and Applications
    • Analytical Chemistry and Chromatography

Papers in

Daniela Sorio

19 papers receiving 326 citations

Peers

Daniela Sorio
Comparison fields: 5 of 82
  • Toxicology 116
  • Spectroscopy 102
  • Pathology and Forensic Medicine 64
  • Insect Science 40
  • Pharmacology 55
Replace Giacomo Musile with:
Giacomo Musile Italy
Carole Jamey France
Hiroyuki Inoue Japan
Cornelius Heß Germany
Anders Just Pedersen Denmark
Hazel J. Torrance United Kingdom
Marianna Tucci Italy
Moutian Wu China
Claudia Müller Germany
Panagiota Nikolaou Greece
Daniela Sorio relative to Giacomo Musile Italy Giacomo Musile's profile →
Citations per field
00.5×1.5×2.2×
Giacomo Musile · 1×
Citations per year

Countries citing papers authored by Daniela Sorio

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Sorio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201362
2 202143
3 201741
4 200832
5 201232
6 201219
7 201919
8 201118
9 201113
10 201011
11 20168
12 20177
13 20207
14 20216
15 20165
16 20243
17 20232
18 20232
19 20212
20 20250

About Daniela Sorio

Daniela Sorio is a scholar working on Pathology and Forensic Medicine, Molecular Biology, Spectroscopy, Biomedical Engineering and Toxicology, having authored 21 papers that have together received 332 indexed citations. Recurring topics across this work include Alcohol Consumption and Health Effects (7 papers), Microfluidic and Capillary Electrophoresis Applications (5 papers), Analytical Chemistry and Chromatography (4 papers), Forensic Toxicology and Drug Analysis (4 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Mass Spectrometry Techniques and Applications (3 papers), Psychedelics and Drug Studies (2 papers) and Plant Stress Responses and Tolerance (2 papers). The work is most often cited by research in Toxicology (116 citations), Spectroscopy (102 citations), Pathology and Forensic Medicine (64 citations), Insect Science (40 citations) and Pharmacology (55 citations). Daniela Sorio has collaborated with scholars based in Italy, Russia and United States. Frequent co-authors include Franco Tagliaro, Rossella Gottardo, Federica Bortolotti, Catia Seri, Jennifer Paola Pascali, Giacomo Musile, Giovanni Serpelloni, M.C. Leonardi, Aldo Polettini and Stephan Scheurer. Their work appears in journals such as Electrophoresis, Analytical and Bioanalytical Chemistry, Medicine Science and the Law, Journal of Chromatography A and Animals.

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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