Milena Povolo

1.5k total citations
40 papers, 1.1k citations indexed

About

Milena Povolo is a scholar working on Animal Science and Zoology, Food Science and Molecular Biology. According to data from OpenAlex, Milena Povolo has authored 40 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Animal Science and Zoology, 17 papers in Food Science and 12 papers in Molecular Biology. Recurrent topics in Milena Povolo's work include Meat and Animal Product Quality (17 papers), Probiotics and Fermented Foods (10 papers) and Fatty Acid Research and Health (10 papers). Milena Povolo is often cited by papers focused on Meat and Animal Product Quality (17 papers), Probiotics and Fermented Foods (10 papers) and Fatty Acid Research and Health (10 papers). Milena Povolo collaborates with scholars based in Italy, France and Russia. Milena Povolo's co-authors include Giovanna Contarini, Riccardo Leardi, Marcello Mele, P. Secchiari, Milena Brasca, Paola Cremonesi, Stefano Morandi, Lucia Monti, Aldo Tava and Domenico Carminati and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, International Journal of Molecular Sciences and Journal of Chromatography A.

In The Last Decade

Milena Povolo

36 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Milena Povolo Italy 17 502 394 359 335 175 40 1.1k
Mailo Virto Spain 21 576 1.1× 166 0.4× 393 1.1× 543 1.6× 90 0.5× 50 1.1k
Giovanna Contarini Italy 23 582 1.2× 698 1.8× 465 1.3× 473 1.4× 220 1.3× 57 1.8k
Juliano De Dea Lindner Brazil 25 1.1k 2.2× 499 1.3× 244 0.7× 687 2.1× 114 0.7× 81 1.7k
Alessandro Genovese Italy 27 1.5k 3.1× 300 0.8× 266 0.7× 451 1.3× 233 1.3× 87 2.2k
Dominik Guggisberg Switzerland 18 748 1.5× 405 1.0× 348 1.0× 295 0.9× 62 0.4× 46 1.3k
Mirna Lúcia Gigante Brazil 23 1.2k 2.4× 423 1.1× 275 0.8× 606 1.8× 81 0.5× 68 1.6k
Roger K. Abrahamsen Norway 22 911 1.8× 330 0.8× 302 0.8× 438 1.3× 58 0.3× 56 1.2k
P. Resmini Italy 19 576 1.1× 304 0.8× 195 0.5× 386 1.2× 44 0.3× 44 1.0k
Kathy Messens Belgium 19 838 1.7× 389 1.0× 206 0.6× 370 1.1× 105 0.6× 39 1.4k
Ueli Bütikofer Switzerland 25 867 1.7× 722 1.8× 668 1.9× 754 2.3× 85 0.5× 58 2.1k

Countries citing papers authored by Milena Povolo

Since Specialization
Citations

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

Fields of papers citing papers by Milena Povolo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Milena Povolo

This figure shows the co-authorship network connecting the top 25 collaborators of Milena Povolo. A scholar is included among the top collaborators of Milena Povolo 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 Milena Povolo. Milena Povolo 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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Monti, Lucia, et al.. (2019). Study on the sugar content of blue-veined “Gorgonzola” PDO cheese. International Dairy Journal. 95. 1–5. 4 indexed citations
4.
Lazzi, Camilla, Milena Povolo, Francesco Locci, et al.. (2016). Can the development and autolysis of lactic acid bacteria influence the cheese volatile fraction? The case of Grana Padano. International Journal of Food Microbiology. 233. 20–28. 47 indexed citations
5.
Zucali, Maddalena, Giovanna Battelli, Monica Battini, et al.. (2016). Multi-dimensional assessment and scoring system for dairy farms. Italian Journal of Animal Science. 15(3). 492–503. 13 indexed citations
6.
Tidona, Flavio, et al.. (2015). Fermented beverage emulsion based on donkey milk with sunflower oil. International Journal of Food Science & Technology. 50(12). 2644–2652. 17 indexed citations
7.
Meucci, Aurora, Miriam Zago, Lia Rossetti, et al.. (2015). Lactococcus hircilactis sp. nov. and Lactococcus laudensis sp. nov., isolated from milk. INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY. 65(Pt_7). 2091–2096. 22 indexed citations
8.
Contarini, Giovanna, et al.. (2014). Bovine colostrum: Changes in lipid constituents in the first 5 days after parturition. Journal of Dairy Science. 97(8). 5065–5072. 53 indexed citations
9.
Paladino, María Emilia, Francesco Locci, Flora V. Romeo, et al.. (2013). Cholesterol removal capability of lactic acid bacteria and related cell membrane fatty acid modifications. Folia Microbiologica. 58(6). 443–449. 7 indexed citations
10.
Cabassi, Giovanni, et al.. (2013). Development of a near Infrared Method for the Quantification of the Main Classes of Fatty Acids Obtained from Raw Milk by Solvent-Free Extraction. Journal of Near Infrared Spectroscopy. 21(5). 395–408. 8 indexed citations
11.
Contarini, Giovanna, et al.. (2013). Interlaboratory evaluation of milk fatty acid composition by using different GC operating conditions. Journal of Food Composition and Analysis. 32(2). 131–140. 20 indexed citations
12.
Povolo, Milena, et al.. (2011). Hydrocarbon and Fatty Acid Composition of Cheese As Affected by the Pasture Vegetation Type. Journal of Agricultural and Food Chemistry. 60(1). 299–308. 34 indexed citations
13.
Povolo, Milena, et al.. (2008). Directly resistively heated‐column gas chromatography for the evaluation of cow milk fat purity. European Journal of Lipid Science and Technology. 110(11). 1050–1057. 15 indexed citations
14.
Povolo, Milena, Giovanna Contarini, Marcello Mele, & P. Secchiari. (2007). Study on the Influence of Pasture on Volatile Fraction of Ewes’ Dairy Products by Solid-Phase Microextraction and Gas Chromatography-Mass Spectrometry. Journal of Dairy Science. 90(2). 556–569. 43 indexed citations
15.
Povolo, Milena, et al.. (2004). Significance of 2-heptanone in evaluating the effect of microfiltration/pasteurisation applied to goats’ milk. International Dairy Journal. 14(10). 915–921. 9 indexed citations
16.
Povolo, Milena & Giovanna Contarini. (2003). Comparison of solid-phase microextraction and purge-and-trap methods for the analysis of the volatile fraction of butter. Journal of Chromatography A. 985(1-2). 117–125. 65 indexed citations
17.
Contarini, Giovanna, et al.. (2002). Quantitative analysis of sterols in dairy products: experiences and remarks. International Dairy Journal. 12(7). 573–578. 27 indexed citations
18.
Contarini, Giovanna & Milena Povolo. (2002). Volatile Fraction of Milk:  Comparison between Purge and Trap and Solid Phase Microextraction Techniques. Journal of Agricultural and Food Chemistry. 50(25). 7350–7355. 97 indexed citations
19.
Povolo, Milena, et al.. (1999). Study on the Performance of Three Different Capillary Gas Chromatographic Analyses in the Evaluation of Milk Fat Purity. Journal of High Resolution Chromatography. 22(2). 97–102.
20.
Povolo, Milena, et al.. (1999). Programmable Temperature Vaporizer (PTV) Applied to the Triglyceride Analysis of Milk Fat. Journal of High Resolution Chromatography. 22(2). 93–96. 8 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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