A. Pirisi

1.9k total citations
42 papers, 1.4k citations indexed

About

A. Pirisi is a scholar working on Food Science, Molecular Biology and Agronomy and Crop Science. According to data from OpenAlex, A. Pirisi has authored 42 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Food Science, 19 papers in Molecular Biology and 17 papers in Agronomy and Crop Science. Recurrent topics in A. Pirisi's work include Probiotics and Fermented Foods (21 papers), Protein Hydrolysis and Bioactive Peptides (16 papers) and Proteins in Food Systems (9 papers). A. Pirisi is often cited by papers focused on Probiotics and Fermented Foods (21 papers), Protein Hydrolysis and Bioactive Peptides (16 papers) and Proteins in Food Systems (9 papers). A. Pirisi collaborates with scholars based in Italy, France and Netherlands. A. Pirisi's co-authors include Margherita Addis, Giovanni Piredda, G. Molle, A. Cabiddu, M. Decandia, Renée de Cremoux, C. Gonzalo, Ketsia Raynal-Ljutovac, Jean-Paul Dubeuf and Massimo Pes and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Dairy Science and Food Research International.

In The Last Decade

A. Pirisi

42 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. Pirisi Italy 21 727 656 551 393 360 42 1.4k
Isabelle Verdier‐Metz France 20 802 1.1× 585 0.9× 595 1.1× 373 0.9× 197 0.5× 33 1.3k
Massimo Todaro Italy 21 528 0.7× 498 0.8× 508 0.9× 286 0.7× 136 0.4× 76 1.2k
B. Martin France 20 446 0.6× 727 1.1× 661 1.2× 262 0.7× 405 1.1× 28 1.5k
Oto Hanuš Czechia 19 351 0.5× 629 1.0× 324 0.6× 205 0.5× 265 0.7× 122 1.1k
Claudio Cipolat‐Gotet Italy 28 752 1.0× 1.3k 2.0× 641 1.2× 232 0.6× 129 0.4× 93 1.9k
Giorgia Stocco Italy 21 518 0.7× 647 1.0× 283 0.5× 156 0.4× 84 0.2× 50 1.0k
Teresa Manso Spain 22 206 0.3× 443 0.7× 519 0.9× 195 0.5× 291 0.8× 53 1.2k
Giulio Visentin Italy 20 225 0.3× 618 0.9× 464 0.8× 127 0.3× 81 0.2× 62 1.1k
Severino Segato Italy 20 239 0.3× 276 0.4× 419 0.8× 293 0.7× 90 0.3× 75 1.1k
Andrea Criscione Italy 19 382 0.5× 271 0.4× 208 0.4× 245 0.6× 112 0.3× 51 1.0k

Countries citing papers authored by A. Pirisi

Since Specialization
Citations

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

Fields of papers citing papers by A. Pirisi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Pirisi

This figure shows the co-authorship network connecting the top 25 collaborators of A. Pirisi. A scholar is included among the top collaborators of A. Pirisi 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 A. Pirisi. A. Pirisi 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.
Caboni, Pierluigi, Cristina Piras, Massimo Pes, et al.. (2023). Development and Chemico-Physical Characterization of Ovine Milk-Based Ingredients for Infant Formulae. Applied Sciences. 13(1). 653–653. 6 indexed citations
2.
Manis, Cristina, Margherita Addis, M. Sitzia, et al.. (2021). Untargeted lipidomics of ovine milk to analyse the influence of different diet regimens. Journal of Dairy Research. 88(3). 261–264. 7 indexed citations
3.
Curti, Elena, Riccardo Melis, Margherita Addis, et al.. (2020). Molecular mobility changes after high-temperature, short-time pasteurization: An extended time-domain nuclear magnetic resonance screening of ewe milk. Journal of Dairy Science. 103(11). 9881–9892. 4 indexed citations
4.
Pes, Massimo, et al.. (2020). A Cluster Project Approach to Develop New Functional Dairy Products from Sheep and Goat Milk. Dairy. 1(2). 154–168. 9 indexed citations
5.
Pes, Massimo, et al.. (2020). Survival of Selected Pathogenic Bacteria during PDO Pecorino Romano Cheese Ripening. Dairy. 1(3). 297–312. 4 indexed citations
6.
Caboni, Pierluigi, Paola Scano, Margherita Addis, et al.. (2019). A gas chromatography-mass spectrometry untargeted metabolomics approach to discriminate Fiore Sardo cheese produced from raw or thermized ovine milk. Journal of Dairy Science. 102(6). 5005–5018. 33 indexed citations
7.
Addis, Margherita, et al.. (2018). Effect of protein-to-fat ratio of sheep milk on the composition, rheological properties and yield of PDO Pecorino Romano cheese. Small Ruminant Research. 162. 1–7. 7 indexed citations
8.
Addis, Margherita, et al.. (2015). Evaluation of lipolysis and volatile compounds produced by three Penicillium roqueforti commercial cultures in a blue-type cheese made from ovine milk. SHILAP Revista de lepidopterología. 27(4). 437–442. 4 indexed citations
9.
Addis, Margherita, et al.. (2015). Physico-chemical characteristics and acidic profile of PDO Pecorino Romano cheese: Seasonal variation. Small Ruminant Research. 126. 73–79. 21 indexed citations
10.
Albenzio, Marzia, Antonella Santillo, Marcella Avondo, et al.. (2015). Nutritional properties of small ruminant food products and their role on human health. Small Ruminant Research. 135. 3–12. 51 indexed citations
11.
Pes, Massimo, Giovanni Falchi, Daniela Pagnozzi, et al.. (2014). Effect of whey concentration on protein recovery in fresh ovine ricotta cheese. Journal of Dairy Science. 97(8). 4686–4694. 44 indexed citations
12.
Cabiddu, A., et al.. (2011). Effect of different pastures on CLA content in milk and sheep cheese. SHILAP Revista de lepidopterología. 2. 518–520. 3 indexed citations
13.
Pirisi, A., et al.. (2006). Basic and incentive payments for goat and sheep milk in relation to quality. Small Ruminant Research. 68(1-2). 167–178. 120 indexed citations
14.
Addis, Margherita, A. Cabiddu, M. Decandia, et al.. (2005). Milk and Cheese Fatty Acid Composition in Sheep Fed Mediterranean Forages with Reference to Conjugated Linoleic Acid cis-9,trans-11. Journal of Dairy Science. 88(10). 3443–3454. 152 indexed citations
15.
Cabiddu, A., M. Decandia, Margherita Addis, et al.. (2005). Managing Mediterranean pastures in order to enhance the level of beneficial fatty acids in sheep milk. Small Ruminant Research. 59(2-3). 169–180. 132 indexed citations
16.
Kalantzopoulos, G., et al.. (2004). Characteristics of sheep and goat milks: quality and hygienic factors for the sheep and goat dairy sectors. Bulletin. International Dairy Federation. 390(390). 17–28. 10 indexed citations
17.
Pirisi, A., et al.. (2000). Raw materials: quality and pricing.. Bulletin. International Dairy Federation. 12–19. 5 indexed citations
18.
Pirisi, A., et al.. (1999). Influence of sheep AA, AB and BB beta -lactoglobulin genotypes on milk composition and cheese yield. 1998. 553–555. 5 indexed citations
19.
Pirisi, A., et al.. (1995). Soft cheesemaking trials using concentrated, frozen and refrigerated ewe milk. 46(6). 395–407. 1 indexed citations
20.

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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