Daniele Dipasquale

455 total citations
7 papers, 359 citations indexed

About

Daniele Dipasquale is a scholar working on Nutrition and Dietetics, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Daniele Dipasquale has authored 7 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Nutrition and Dietetics, 2 papers in Molecular Biology and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Daniele Dipasquale's work include Fatty Acid Research and Health (3 papers), Meat and Animal Product Quality (2 papers) and Genomics, phytochemicals, and oxidative stress (2 papers). Daniele Dipasquale is often cited by papers focused on Fatty Acid Research and Health (3 papers), Meat and Animal Product Quality (2 papers) and Genomics, phytochemicals, and oxidative stress (2 papers). Daniele Dipasquale collaborates with scholars based in Italy, Germany and Egypt. Daniele Dipasquale's co-authors include P. Morera, U. Bernabucci, Loredana Basiricò, Andrea Vitali, F. Piccioli-Cappelli, L. Calamari, A. Tröscher, Riccardo Primi, Andrea Serra and Marcello Mele and has published in prestigious journals such as Journal of Dairy Science, Molecules and animal.

In The Last Decade

Daniele Dipasquale

7 papers receiving 349 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniele Dipasquale Italy 6 157 120 94 69 65 7 359
Maria Giovanna Ciliberti Italy 14 219 1.4× 171 1.4× 79 0.8× 89 1.3× 95 1.5× 51 563
Mylène Gobert France 11 243 1.5× 138 1.1× 107 1.1× 56 0.8× 56 0.9× 15 455
Ana Luíza Bachmann Schogor Brazil 10 139 0.9× 138 1.1× 59 0.6× 60 0.9× 33 0.5× 35 354
E. Jacyno Poland 13 154 1.0× 61 0.5× 97 1.0× 63 0.9× 54 0.8× 40 365
J. M. Leheska United States 7 407 2.6× 83 0.7× 95 1.0× 53 0.8× 58 0.9× 9 501
Zvonko Stojević Croatia 12 291 1.9× 221 1.8× 80 0.9× 52 0.8× 54 0.8× 50 617
Marica Simoni Italy 12 132 0.8× 141 1.2× 45 0.5× 48 0.7× 55 0.8× 42 364
J. Skomiał Poland 15 294 1.9× 160 1.3× 192 2.0× 128 1.9× 90 1.4× 69 659
E. Rowghani Iran 14 348 2.2× 204 1.7× 59 0.6× 34 0.5× 67 1.0× 34 555
P. Patráš Slovakia 12 185 1.2× 54 0.5× 107 1.1× 47 0.7× 103 1.6× 35 404

Countries citing papers authored by Daniele Dipasquale

Since Specialization
Citations

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

Fields of papers citing papers by Daniele Dipasquale

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniele Dipasquale

This figure shows the co-authorship network connecting the top 25 collaborators of Daniele Dipasquale. A scholar is included among the top collaborators of Daniele Dipasquale 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 Daniele Dipasquale. Daniele Dipasquale is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
1.
Kasiotis, Konstantinos M., Eirini Baira, Despina Tsipi, et al.. (2023). Fingerprinting Chemical Markers in the Mediterranean Orange Blossom Honey: UHPLC-HRMS Metabolomics Study Integrating Melissopalynological Analysis, GC-MS and HPLC-PDA-ESI/MS. Molecules. 28(9). 3967–3967. 11 indexed citations
2.
Basiricò, Loredana, P. Morera, Daniele Dipasquale, et al.. (2019). (-)-Epigallocatechin-3-gallate and hydroxytyrosol improved antioxidative and anti-inflammatory responses in bovine mammary epithelial cells. animal. 13(12). 2847–2856. 40 indexed citations
3.
Dipasquale, Daniele, Loredana Basiricò, P. Morera, et al.. (2018). Anti-inflammatory effects of conjugated linoleic acid isomers and essential fatty acids in bovine mammary epithelial cells. animal. 12(10). 2108–2114. 37 indexed citations
4.
Basiricò, Loredana, P. Morera, Daniele Dipasquale, et al.. (2017). Epigallocatechin-3-gallate and hydroxytyrosol protect against oxidative damage and improve anti-inflammatory response in bovine mammary epithelial cells (BME-UV1). 16. 217–217. 1 indexed citations
5.
Basiricò, Loredana, P. Morera, Daniele Dipasquale, A. Tröscher, & U. Bernabucci. (2017). Comparison between conjugated linoleic acid and essential fatty acids in preventing oxidative stress in bovine mammary epithelial cells. Journal of Dairy Science. 100(3). 2299–2309. 62 indexed citations
6.
Basiricò, Loredana, P. Morera, Daniele Dipasquale, et al.. (2015). Conjugated linoleic acid isomers strongly improve the redox status of bovine mammary epithelial cells (BME-UV1). Journal of Dairy Science. 98(10). 7071–7082. 40 indexed citations
7.
Bernabucci, U., Loredana Basiricò, P. Morera, et al.. (2014). Effect of summer season on milk protein fractions in Holstein cows. Journal of Dairy Science. 98(3). 1815–1827. 168 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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