Sarah Vecchio

863 citations
33 papers · 572 · h-index 12

Impact in

Papers in

Sarah Vecchio

30 papers receiving 549 citations

Peers

Sarah Vecchio
Comparison fields: 5 of 95
  • Toxicology 55
  • Endocrinology, Diabetes and Metabolism 112
  • Hepatology 40
  • Pharmacology 43
  • Nephrology 31
Replace Kenneth D. Katz with:
Kenneth D. Katz United States
Mark L. Winter United States
Sean H. Rhyee United States
Sabrina Garasto Italy
Sérgio Saldanha Menna‐Barreto Brazil
J. A. H. Forrest United Kingdom
Annil Mahajan India
Alessandro Nalesso Italy
Xiaoyan Yang China
N. R. Peden United Kingdom
Sarah Vecchio relative to Kenneth D. Katz United States Kenneth D. Katz's profile →
Citations per field
00.5×3.1×
Kenneth D. Katz · 1×
Citations per year

Countries citing papers authored by Sarah Vecchio

Since Specialization
Citations

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

Fields of papers citing papers by Sarah Vecchio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201384
2 201075
3 201065
4 201248
5 201248
6 202037
7 201633
8 201630
9 201427
10 201426
11 201815
12 202014
13 202110
14 20119
15 20138
16 20198
17 20237
18 20116
19 20084
20 20243

About Sarah Vecchio

Sarah Vecchio is a scholar working on Toxicology, Emergency Medicine, Molecular Biology, Epidemiology and Pharmacology, having authored 33 papers that have together received 572 indexed citations. Recurring topics across this work include Forensic Toxicology and Drug Analysis (6 papers), Poisoning and overdose treatments (6 papers), Diabetes Treatment and Management (3 papers), HIV, Drug Use, Sexual Risk (3 papers), Neurotransmitter Receptor Influence on Behavior (3 papers), Diabetes Management and Research (2 papers), Metabolism and Genetic Disorders (2 papers) and Substance Abuse Treatment and Outcomes (2 papers). The work is most often cited by research in Toxicology (55 citations), Endocrinology, Diabetes and Metabolism (112 citations), Hepatology (40 citations), Pharmacology (43 citations) and Nephrology (31 citations). Sarah Vecchio has collaborated with scholars based in Italy, Switzerland and United States. Frequent co-authors include Alessandro Protti, C. Locatelli, Davide Lonati, Valeria Margherita Petrolini, Andrea Giampreti, Luciano Gattinoni, S Mancini, Maurizio Ponz de Leòn, Luca Roncucci and Giacomo P. Comi. Their work appears in journals such as Clinical Toxicology, Toxicology Letters, Critical Care, International Journal of Environmental Research and Public Health and Forensic Chemistry.

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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