Rosa Di Sanzo

1.2k total citations
37 papers, 899 citations indexed

About

Rosa Di Sanzo is a scholar working on Food Science, Plant Science and Biochemistry. According to data from OpenAlex, Rosa Di Sanzo has authored 37 papers receiving a total of 899 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Food Science, 15 papers in Plant Science and 10 papers in Biochemistry. Recurrent topics in Rosa Di Sanzo's work include Phytochemicals and Antioxidant Activities (10 papers), Essential Oils and Antimicrobial Activity (9 papers) and Insect and Pesticide Research (8 papers). Rosa Di Sanzo is often cited by papers focused on Phytochemicals and Antioxidant Activities (10 papers), Essential Oils and Antimicrobial Activity (9 papers) and Insect and Pesticide Research (8 papers). Rosa Di Sanzo collaborates with scholars based in Italy, Spain and Montenegro. Rosa Di Sanzo's co-authors include Mariateresa Russo, Sonia Carabetta, Luca Rastrelli, Anna Lisa Piccinelli, Luca Campone, Rita Celano, Imma Pagano, Elena Ibáñez, Alejandro Cifuentes and Massimo Migliori and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Food Chemistry and Journal of Chromatography A.

In The Last Decade

Rosa Di Sanzo

35 papers receiving 882 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Rosa Di Sanzo Italy 16 308 253 205 184 142 37 899
Cristiano Soleo Funari Brazil 21 322 1.0× 284 1.1× 190 0.9× 137 0.7× 157 1.1× 49 1.1k
Imma Pagano Italy 18 320 1.0× 292 1.2× 200 1.0× 232 1.3× 116 0.8× 25 988
Fernando Gustavo Tonin Brazil 19 243 0.8× 309 1.2× 151 0.7× 224 1.2× 134 0.9× 36 947
Martina Jakovljević Croatia 20 378 1.2× 203 0.8× 176 0.9× 253 1.4× 61 0.4× 34 942
Sonia Carabetta Italy 14 243 0.8× 223 0.9× 128 0.6× 185 1.0× 97 0.7× 32 683
M. Voldřich Czechia 20 282 0.9× 204 0.8× 355 1.7× 119 0.6× 114 0.8× 63 1.2k
Andressa Camargo Valese Brazil 15 349 1.1× 173 0.7× 194 0.9× 323 1.8× 78 0.5× 22 820
Giuseppe Procida Italy 17 320 1.0× 186 0.7× 204 1.0× 124 0.7× 138 1.0× 51 984
Camila G. Pereira Brazil 13 398 1.3× 207 0.8× 205 1.0× 261 1.4× 90 0.6× 43 1.1k
Karel Ventura Czechia 18 289 0.9× 217 0.9× 153 0.7× 164 0.9× 166 1.2× 61 967

Countries citing papers authored by Rosa Di Sanzo

Since Specialization
Citations

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

Fields of papers citing papers by Rosa Di Sanzo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rosa Di Sanzo. 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 Rosa Di Sanzo. The network helps show where Rosa Di Sanzo may publish in the future.

Co-authorship network of co-authors of Rosa Di Sanzo

This figure shows the co-authorship network connecting the top 25 collaborators of Rosa Di Sanzo. A scholar is included among the top collaborators of Rosa Di Sanzo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Rosa Di Sanzo. Rosa Di Sanzo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Sanzo, Rosa Di, Giovanni Marino, Sonia Carabetta, et al.. (2025). Impact of native S. cerevisiae and non-Saccharomyces yeasts in chemical, aromatic, and sensory profiles of Carricante wines. Food Bioscience. 68. 106559–106559. 3 indexed citations
2.
Carabetta, Sonia, et al.. (2025). Real-Time Classification of Ochratoxin a Contamination in Grapes Using AI-Enhanced IoT. Sensors. 25(3). 784–784. 3 indexed citations
3.
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5.
Angellotti, Giuseppe, Sonia Carabetta, Rosa Di Sanzo, et al.. (2024). The LimoFish Circular Economy Process for the Marine Bioeconomy. ChemSusChem. 17(17). e202301826–e202301826.
6.
Carabetta, Sonia, Rosa Di Sanzo, Tomáš Brányik, et al.. (2024). UHPLC-PAD Protocol for the Simultaneous Identification of Polyphenols and Bitter Acids: Organoleptic and Nutraceutical Fingerprinting of Bergamot-Flavored Craft Beer. Foods. 13(8). 1149–1149. 3 indexed citations
7.
Núñez-Carmona, Estefanía, et al.. (2023). Different Diacetyl Perception Detected through MOX Sensors in Real-Time Analysis of Beer Samples. Chemosensors. 11(2). 147–147. 5 indexed citations
8.
Russo, Mariateresa, Rosa Di Sanzo, Federica Marra, et al.. (2023). Waste-Derived Fertilizer Acts as Biostimulant, Boosting Tomato Quality and Aroma. Agronomy. 13(12). 2854–2854.
9.
Carabetta, Sonia, et al.. (2023). A Predictive Model to Correlate Amino Acids and Aromatic Compounds in Calabrian Honeys. Foods. 12(17). 3284–3284. 8 indexed citations
10.
Foti, Paola, Cinzia Lucia Randazzo, Mariateresa Russo, et al.. (2023). Effect of microbial fermentation on functional traits and volatiloma profile of pâté olive cake. Food Research International. 174(Pt 1). 113510–113510. 3 indexed citations
11.
Celano, Rita, Teresa Docimo, Anna Lisa Piccinelli, et al.. (2021). Specialized metabolite profiling of different Glycyrrhiza glabra organs by untargeted UHPLC-HRMS. Industrial Crops and Products. 170. 113688–113688. 13 indexed citations
12.
Albergamo, Ambrogina, Andrea Salvo, Sonia Carabetta, et al.. (2020). Development of an antioxidant formula based on peanut by‐products and effects on sensory properties and aroma stability of fortified peanut snacks during storage. Journal of the Science of Food and Agriculture. 101(2). 638–647. 13 indexed citations
13.
14.
Campone, Luca, Rita Celano, Anna Lisa Piccinelli, et al.. (2018). Ultrasound assisted dispersive liquid-liquid microextraction for fast and accurate analysis of chloramphenicol in honey. Food Research International. 115. 572–579. 41 indexed citations
15.
Sanzo, Rosa Di, et al.. (2018). Assessment of mycotoxins co‐occurrence in Italian dried figs and in dried figs‐based products. Journal of Food Safety. 38(6). 67 indexed citations
16.
Sommella, Eduardo, Francesco Pagano, Giacomo Pepe, et al.. (2017). Flavonoid Composition of Tarocco (Citrus sinensis L. Osbeck) Clone “Lempso” and Fast Antioxidant Activity Screening by DPPH‐UHPLC‐PDA‐IT‐TOF. Phytochemical Analysis. 28(6). 521–528. 15 indexed citations
17.
Mignani, Anna Grazia, Leonardo Ciaccheri, A. A. Mencaglia, et al.. (2015). Dispersive Raman spectroscopy excited at 1064nm to classify the botanic origin of honeys from Calabria and quantify the sugar profile. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9486. 94860E–94860E. 3 indexed citations
18.
Russo, Mariateresa, et al.. (2014). The potential of e-nose aroma profiling for identifying the geographical origin of licorice (Glycyrrhiza glabra L.) roots. Food Chemistry. 165. 467–474. 49 indexed citations
19.
Russo, Mariateresa, et al.. (2013). Non-destructive flavour evaluation of red onion (Allium cepa L.) Ecotypes: An electronic-nose-based approach. Food Chemistry. 141(2). 896–899. 37 indexed citations
20.
Gabriele, Domenico, et al.. (2010). Rheological Characterisation of Dairy Emulsions For Cold Foam Applications. International Journal of Food Properties. 14(4). 786–798. 6 indexed citations

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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