Sarah Vecchio

851 citations
33 papers · 567 · h-index 12

Impact in

Papers in

Sarah Vecchio

30 papers receiving 543 citations

Peers

Sarah Vecchio
Comparison fields: 5 of 99
  • Toxicology 58
  • Endocrinology, Diabetes and Metabolism 154
  • Hepatology 49
  • Nephrology 41
  • Pharmacology 47
Replace Kenneth D. Katz with:
Kenneth D. Katz United States
Sean H. Rhyee United States
Michael Lehrer United States
Alessandro Nalesso Italy
Steina Aradóttir Sweden
Mark L. Winter United States
E.‐H. Egberts Germany
Xiaoyan Yang China
Donald C. Greenway Canada
Kent E. Opheim United States
Sarah Vecchio relative to Kenneth D. Katz United States Kenneth D. Katz's profile →
Citations per field
00.5×2.6×
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 201382
2 201075
3 201065
4 201248
5 201247
6 202037
7 201632
8 201630
9 201427
10 201426
11 201815
12 202014
13 202110
14 20119
15 20138
16 20198
17 20236
18 20116
19 20084
20 20243

About Sarah Vecchio

Sarah Vecchio is a scholar working on Molecular Biology, Emergency Medicine, Toxicology, Epidemiology and Endocrinology, Diabetes and Metabolism, having authored 33 papers that have together received 567 indexed citations. Recurring topics across this work include Poisoning and overdose treatments (7 papers), Forensic Toxicology and Drug Analysis (6 papers), Diabetes Treatment and Management (5 papers), Metabolism, Diabetes, and Cancer (4 papers), Neurotransmitter Receptor Influence on Behavior (3 papers), Metabolism and Genetic Disorders (3 papers), HIV, Drug Use, Sexual Risk (3 papers) and Pharmacovigilance and Adverse Drug Reactions (2 papers). The work is most often cited by research in Toxicology (58 citations), Endocrinology, Diabetes and Metabolism (154 citations), Hepatology (49 citations), Nephrology (41 citations) and Pharmacology (47 citations). Sarah Vecchio has collaborated with scholars based in Italy, Switzerland and United Kingdom. Frequent co-authors include Alessandro Protti, C. Locatelli, Andrea Giampreti, Valeria Margherita Petrolini, Davide Lonati, Luciano Gattinoni, Maurizio Ponz de Leòn, S Mancini, Luca Roncucci and Giovanni Mistraletti. Their work appears in journals such as Clinical Toxicology, Toxicology Letters, Critical Care, International Journal of Environmental Research and Public Health and Phytotherapy Research.

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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