Davide Porcellato

1.5k total citations
72 papers, 1.0k citations indexed

About

Davide Porcellato is a scholar working on Food Science, Molecular Biology and Agronomy and Crop Science. According to data from OpenAlex, Davide Porcellato has authored 72 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Food Science, 34 papers in Molecular Biology and 25 papers in Agronomy and Crop Science. Recurrent topics in Davide Porcellato's work include Probiotics and Fermented Foods (38 papers), Milk Quality and Mastitis in Dairy Cows (23 papers) and Gut microbiota and health (13 papers). Davide Porcellato is often cited by papers focused on Probiotics and Fermented Foods (38 papers), Milk Quality and Mastitis in Dairy Cows (23 papers) and Gut microbiota and health (13 papers). Davide Porcellato collaborates with scholars based in Norway, Italy and United States. Davide Porcellato's co-authors include Siv Skeie, Judith Narvhus, Knut Rudi, Bjørn-Arne Lindstedt, Lin T. Brandal, Marina Aspholm, Hilde Mellegård, Gro V. Amdam, Jane Ludvigsen and Roger Meisal and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied and Environmental Microbiology and Journal of Agricultural and Food Chemistry.

In The Last Decade

Davide Porcellato

64 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Davide Porcellato Norway 18 559 448 228 127 111 72 1.0k
I.C. Fernández-No Spain 21 420 0.8× 543 1.2× 137 0.6× 66 0.5× 101 0.9× 28 1.1k
Evelyne Mann Austria 21 407 0.7× 628 1.4× 341 1.5× 113 0.9× 67 0.6× 35 1.2k
Valeria A. Torok Australia 19 388 0.7× 622 1.4× 161 0.7× 106 0.8× 42 0.4× 42 1.6k
Jean-Claude Ogier France 22 920 1.6× 857 1.9× 202 0.9× 163 1.3× 211 1.9× 39 1.5k
Ulrike Lyhs Finland 20 593 1.1× 320 0.7× 94 0.4× 79 0.6× 192 1.7× 35 1.0k
L.S. Frizzo Argentina 21 721 1.3× 344 0.8× 173 0.8× 253 2.0× 112 1.0× 70 1.3k
Alessandra Dalmasso Italy 21 605 1.1× 796 1.8× 148 0.6× 41 0.3× 150 1.4× 57 1.4k
Joanna Koort Finland 18 563 1.0× 369 0.8× 233 1.0× 88 0.7× 119 1.1× 30 890
L.R. Bielke United States 27 721 1.3× 490 1.1× 74 0.3× 157 1.2× 111 1.0× 74 2.1k
Patrícia Emília Naves Givisiez Brazil 20 298 0.5× 236 0.5× 146 0.6× 55 0.4× 58 0.5× 84 1.1k

Countries citing papers authored by Davide Porcellato

Since Specialization
Citations

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

Fields of papers citing papers by Davide Porcellato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Davide Porcellato

This figure shows the co-authorship network connecting the top 25 collaborators of Davide Porcellato. A scholar is included among the top collaborators of Davide Porcellato 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 Davide Porcellato. Davide Porcellato 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.
Inglingstad, Ragnhild Aabøe, et al.. (2025). Somatic cell count in dairy goats II: udder health monitoring at goat and herd level. BMC Veterinary Research. 21(1). 157–157. 2 indexed citations
2.
Meisal, Roger, et al.. (2025). Comparative genomics of clinical hybrid Escherichia coli strains in Norway. International Journal of Medical Microbiology. 318. 151651–151651. 2 indexed citations
3.
Tarrah, Armin, Tove Gulbrandsen Devold, Davide Porcellato, et al.. (2025). Functional Compound Bioaccessibility and Microbial Viability in Green and Black Tea Kombucha During Simulated Digestion. Foods. 14(16). 2770–2770.
4.
5.
Skeie, Siv, et al.. (2025). A comparative analysis of goat milk quality on Norwegian farms with a focus on somatic cell count and seasonal variation. Journal of Dairy Science. 108(10). 10548–10560.
6.
Souza, Pedro H. G. Ferreira de, Roberto Sousa Dias, Vinícius da Silva Duarte, et al.. (2025). Characterization of Newly Isolated Rosenblumvirus Phage Infecting Staphylococcus aureus from Different Sources. Microorganisms. 13(3). 664–664. 1 indexed citations
7.
Berget, Ingunn, et al.. (2024). Improving sensory quality and properties of stirred high-protein yogurts with a rotor/stator device. International Dairy Journal. 160. 106078–106078. 1 indexed citations
8.
Kahala, Minna, Lucía Blasco, Davide Porcellato, et al.. (2024). Lactic and propionic acid bacteria starter cultures for improved nutritional properties of pea, faba bean and lentil. LWT. 208. 116691–116691. 1 indexed citations
9.
Skeie, Siv, et al.. (2024). Two-year investigation of spore-formers through the production chain at two cheese plants in Norway. Food Research International. 190. 114610–114610. 7 indexed citations
10.
Kjos, Morten, et al.. (2024). An in vitro evaluation of the effect of antimicrobial treatment on bovine mammary microbiota. Scientific Reports. 14(1). 18333–18333. 1 indexed citations
11.
Skeie, Siv, et al.. (2024). Fluctuations in somatic cell count and their impact on individual goat milk quality throughout lactation. Journal of Dairy Science. 108(1). 152–163. 2 indexed citations
12.
Liu, Xue, Vincent de Bakker, Zhian Salehian, et al.. (2024). Genome-wide CRISPRi screens for high-throughput fitness quantification and identification of determinants for dalbavancin susceptibility in Staphylococcus aureus. mSystems. 9(7). e0128923–e0128923. 11 indexed citations
13.
Corich, Viviana, et al.. (2023). Potential bioactive peptides obtained after in vitro gastrointestinal digestion of wine lees from sequential fermentations. Food Research International. 176. 113833–113833. 7 indexed citations
14.
Dias, Mariana de Moura e, Vinícius da Silva Duarte, Lúcio Flávio Macêdo Mota, et al.. (2023). Lactobacillus gasseri LG-G12 Restores Gut Microbiota and Intestinal Health in Obesity Mice on Ceftriaxone Therapy. Foods. 12(5). 1092–1092. 9 indexed citations
15.
16.
Duarte, Vinícius da Silva, et al.. (2023). Metataxonomic analysis and host proteome response in dairy cows with high and low somatic cell count: a quarter level investigation. Veterinary Research. 54(1). 32–32. 3 indexed citations
17.
Wolff, Cecilia, et al.. (2022). Streptococcus dysgalactiae ssp. dysgalactiae in Norwegian bovine dairy herds: Risk factors, sources, and genomic diversity. Journal of Dairy Science. 105(4). 3574–3587. 5 indexed citations
18.
Sunde, Marianne, Knut Rudi, Davide Porcellato, et al.. (2021). Plasmid-associated antimicrobial resistance and virulence genes in Escherichia coli in a high arctic reindeer subspecies. Journal of Global Antimicrobial Resistance. 26. 317–322. 10 indexed citations
19.
20.
Porcellato, Davide, M.E. Johnson, Siv Skeie, et al.. (2015). Potential of Lactobacillus curvatus LFC1 to produce slits in Cheddar cheese. Food Microbiology. 49. 65–73. 12 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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