Sara Barbieri

982 citations
32 papers · 802 · h-index 18

Impact in

Papers in

    • Edible Oils Quality and Analysis 20
    • Essential Oils and Antimicrobial Activity 6
    • Sensory Analysis and Statistical Methods 4

Sara Barbieri

28 papers receiving 786 citations

Peers

Sara Barbieri
Comparison fields: 5 of 82
  • Analytical Chemistry 231
  • Biochemistry 124
  • Food Science 334
  • Sensory Systems 75
  • Animal Science and Zoology 104
Replace Beatriz Quintanilla‐Casas with:
Beatriz Quintanilla‐Casas Spain
Bobin Li China
Gamze Güçlü Türkiye
Mario Bertuccioli Italy
Nicoletta Sinelli Italy
F. Gutiérrez‐Rosales Spain
Alexis Marsol‐Vall Finland
N. Sinelli Italy
Curtis M. Kalua Australia
Deborah D. Roberts Switzerland
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 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016124
2 201869
3 200869
4 201956
5 200446
6 202044
7 201140
8 201537
9 202033
10 201532
11 202029
12 199028
13 202028
14 201224
15 199023
16 202121
17 201619
18 201618
19 201712
20 201311

About Sara Barbieri

Sara Barbieri is a scholar working on Organic Chemistry, Food Science, Biomedical Engineering, Animal Science and Zoology and Analytical Chemistry, having authored 32 papers that have together received 802 indexed citations. Recurring topics across this work include Edible Oils Quality and Analysis (20 papers), Advanced Chemical Sensor Technologies (11 papers), Meat and Animal Product Quality (10 papers), Spectroscopy and Chemometric Analyses (9 papers), Essential Oils and Antimicrobial Activity (6 papers), Sensory Analysis and Statistical Methods (4 papers), Phytochemicals and Antioxidant Activities (3 papers) and Analytical Chemistry and Chromatography (3 papers). The work is most often cited by research in Analytical Chemistry (231 citations), Biochemistry (124 citations), Food Science (334 citations), Sensory Systems (75 citations) and Animal Science and Zoology (104 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, Dora Melucci, Lanfranco S. Conte, Alessandro Zappi and M.J. Urbicain. Their work appears in journals such as Foods, Antioxidants, European Journal of Lipid Science and Technology, LWT and Journal of Food Engineering.

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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