Francesca Di Donato

449 total citations
26 papers, 345 citations indexed

About

Francesca Di Donato is a scholar working on Analytical Chemistry, Molecular Biology and Animal Science and Zoology. According to data from OpenAlex, Francesca Di Donato has authored 26 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Analytical Chemistry, 7 papers in Molecular Biology and 7 papers in Animal Science and Zoology. Recurrent topics in Francesca Di Donato's work include Spectroscopy and Chemometric Analyses (17 papers), Meat and Animal Product Quality (7 papers) and Analytical Chemistry and Chromatography (6 papers). Francesca Di Donato is often cited by papers focused on Spectroscopy and Chemometric Analyses (17 papers), Meat and Animal Product Quality (7 papers) and Analytical Chemistry and Chromatography (6 papers). Francesca Di Donato collaborates with scholars based in Italy, Spain and Norway. Francesca Di Donato's co-authors include Alessandra Biancolillo, Angelo Antonio D’Archivio, Martina Foschi, Leucio Rossi, Abdo Hassoun, Maria Anna Maggi, Jesús Simal‐Gándara, Federico Marini, Elena Shumilina and Fabrizio Ruggieri and has published in prestigious journals such as Chemistry - A European Journal, Molecules and Food Control.

In The Last Decade

Francesca Di Donato

23 papers receiving 338 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Francesca Di Donato Italy 13 153 100 92 83 72 26 345
Chunling Yin China 13 334 2.2× 117 1.2× 74 0.8× 158 1.9× 26 0.4× 25 462
Elis Daiane Pauli Brazil 13 148 1.0× 91 0.9× 102 1.1× 129 1.6× 25 0.3× 28 438
P. Marinero Spain 10 162 1.1× 45 0.5× 247 2.7× 27 0.3× 52 0.7× 10 444
L. Valverde-Som Spain 11 207 1.4× 155 1.6× 106 1.2× 193 2.3× 44 0.6× 18 461
E.M. Dı́az-Plaza Spain 10 146 1.0× 40 0.4× 189 2.1× 34 0.4× 18 0.3× 13 390
Alejandro García‐Reiriz Argentina 10 231 1.5× 113 1.1× 33 0.4× 97 1.2× 12 0.2× 17 459
Gustavo Galo Marcheafave Brazil 13 136 0.9× 79 0.8× 73 0.8× 88 1.1× 13 0.2× 38 384
Xueqi Li United States 11 129 0.8× 81 0.8× 122 1.3× 61 0.7× 30 0.4× 26 405
Josiane Molinet France 13 109 0.7× 176 1.8× 74 0.8× 98 1.2× 12 0.2× 18 421
Aiqing Miao China 10 101 0.7× 84 0.8× 255 2.8× 82 1.0× 18 0.3× 14 524

Countries citing papers authored by Francesca Di Donato

Since Specialization
Citations

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

Fields of papers citing papers by Francesca Di Donato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesca Di Donato

This figure shows the co-authorship network connecting the top 25 collaborators of Francesca Di Donato. A scholar is included among the top collaborators of Francesca Di Donato 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 Francesca Di Donato. Francesca Di Donato 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
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Foschi, Martina, et al.. (2023). Multi-block approach for the characterization and discrimination of Italian chickpeas landraces. Food Control. 157. 110170–110170. 7 indexed citations
4.
Ruggieri, Fabrizio, Alessandra Biancolillo, Angelo Antonio D’Archivio, et al.. (2023). Quantitative Structure–Retention Relationship Analysis of Polycyclic Aromatic Compounds in Ultra-High Performance Chromatography. Molecules. 28(7). 3218–3218. 6 indexed citations
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Biancolillo, Alessandra, et al.. (2022). ATR-FTIR-based rapid solution for the discrimination of lentils from different origins, with a special focus on PGI and Slow Food typical varieties. Microchemical Journal. 178. 107327–107327. 9 indexed citations
7.
Wise, Barry M., et al.. (2022). Automatic hierarchical model builder. Journal of Chemometrics. 36(12). 12 indexed citations
8.
Donato, Francesca Di, Alessandra Biancolillo, Martina Foschi, & Angelo Antonio D’Archivio. (2022). Application of SPORT algorithm on ATR-FTIR data: A rapid and green tool for the characterization and discrimination of three typical Italian Pecorino cheeses. Journal of Food Composition and Analysis. 114. 104784–104784. 8 indexed citations
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Pesciaioli, Fabio, et al.. (2022). DoE‐Driven Development of an Organocatalytic Enantioselective Addition of Acetaldehyde to Nitrostyrenes in Water**. Chemistry - A European Journal. 28(24). e202104524–e202104524. 14 indexed citations
11.
Aït‐Kaddour, Abderrahmane, Abdo Hassoun, Alessandra Biancolillo, et al.. (2021). Application of Spectroscopic Techniques to Evaluate Heat Treatments in Milk and Dairy Products: an Overview of the Last Decade. Food and Bioprocess Technology. 14(5). 781–803. 23 indexed citations
12.
Biancolillo, Alessandra, Francesca Di Donato, Francesco Merola, Federico Marini, & Angelo Antonio D’Archivio. (2021). Sequential Data Fusion Techniques for the Authentication of the P.G.I. Senise (“Crusco”) Bell Pepper. Applied Sciences. 11(4). 1709–1709. 10 indexed citations
13.
Donato, Francesca Di, et al.. (2021). Multi-Elemental Composition Data Handled by Chemometrics for the Discrimination of High-Value Italian Pecorino Cheeses. Molecules. 26(22). 6875–6875. 8 indexed citations
14.
Donato, Francesca Di, Angelo Antonio D’Archivio, Maria Anna Maggi, & Leucio Rossi. (2021). Detection of Plant-Derived Adulterants in Saffron (Crocus sativus L.) by HS-SPME/GC-MS Profiling of Volatiles and Chemometrics. Food Analytical Methods. 14(4). 784–796. 17 indexed citations
15.
Donato, Francesca Di, et al.. (2021). Characterization of high value Italian chickpeas (Cicer arietinum L.) by means of ICP-OES multi-elemental analysis coupled with chemometrics. Food Control. 131. 108451–108451. 12 indexed citations
16.
Donato, Francesca Di, et al.. (2021). HS-SPME/GC–MS volatile fraction determination and chemometrics for the discrimination of typical Italian Pecorino cheeses. Microchemical Journal. 165. 106133–106133. 34 indexed citations
17.
Hassoun, Abdo, Elena Shumilina, Francesca Di Donato, et al.. (2020). Emerging Techniques for Differentiation of Fresh and Frozen–Thawed Seafoods: Highlighting the Potential of Spectroscopic Techniques. Molecules. 25(19). 4472–4472. 46 indexed citations
18.
Hassoun, Abdo, María Guðjónsdóttir, Miguel A. Prieto, et al.. (2020). Application of Novel Techniques for Monitoring Quality Changes in Meat and Fish Products during Traditional Processing Processes: Reconciling Novelty and Tradition. Processes. 8(8). 988–988. 23 indexed citations
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Iannella, Mattia, Paola D’Alessandro, Francesco Cerasoli, et al.. (2019). Preliminary Analysis of the Diet of Triturus carnifex and Pollution in Mountain Karst Ponds in Central Apennines. Water. 12(1). 44–44. 18 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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