Sara Barbieri

966 citations
29 papers · 788 · h-index 18

Impact in

Papers in

    • Edible Oils Quality and Analysis 18
    • Essential Oils and Antimicrobial Activity 6
    • Sensory Analysis and Statistical Methods 4

Sara Barbieri

27 papers receiving 772 citations

Peers

Sara Barbieri
Comparison fields: 5 of 86
  • Analytical Chemistry 236
  • Biochemistry 126
  • Food Science 332
  • Sensory Systems 76
  • Animal Science and Zoology 105
Replace Beatriz Quintanilla‐Casas with:
Beatriz Quintanilla‐Casas Spain
Gamze Güçlü Türkiye
Bobin Li China
J.M. Conner United Kingdom
Mario Bertuccioli Italy
Nicoletta Sinelli Italy
F. Gutiérrez Spain
Alexis Marsol‐Vall Finland
N. Sinelli Italy
Curtis M. Kalua Australia
Sara Barbieri relative to Beatriz Quintanilla‐Casas Spain Beatriz Quintanilla‐Casas's profile →
Citations per field
00.5×7.6×
Beatriz Quintanilla‐Casas · 1×
Citations per year

Countries citing papers authored by Sara Barbieri

Since Specialization
Citations

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

Fields of papers citing papers by Sara Barbieri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016122
2 200869
3 201868
4 201954
5 200446
6 202042
7 201140
8 201536
9 201532
10 202032
11 202029
12 202028
13 199028
14 201224
15 199023
16 202120
17 201618
18 201617
19 201712
20 201311

About Sara Barbieri

Sara Barbieri is a scholar working on Organic Chemistry, Food Science, Biomedical Engineering, Analytical Chemistry and Animal Science and Zoology, having authored 29 papers that have together received 788 indexed citations. Recurring topics across this work include Edible Oils Quality and Analysis (18 papers), Advanced Chemical Sensor Technologies (11 papers), Spectroscopy and Chemometric Analyses (9 papers), Meat and Animal Product Quality (8 papers), Essential Oils and Antimicrobial Activity (6 papers), Sensory Analysis and Statistical Methods (4 papers), Analytical Chemistry and Chromatography (3 papers) and Antioxidant Activity and Oxidative Stress (3 papers). The work is most often cited by research in Analytical Chemistry (236 citations), Biochemistry (126 citations), Food Science (332 citations), Sensory Systems (76 citations) and Animal Science and Zoology (105 citations). Sara Barbieri has collaborated with scholars based in Italy, Spain and Germany. Frequent co-authors include Alessandra Bendini, Tullia Gallina Toschi, Enrico Valli, Diego L. García‐González, Stefania Vichi, Federica Tesini, Alessandro Zappi, Dora Melucci, M.J. Urbicain and Lanfranco S. Conte. Their work appears in journals such as Foods, European Journal of Lipid Science and Technology, LWT, Journal of Food Engineering and European Food Research and Technology.

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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