Daniele Pizzichini

19 total papers · 668 total citations
13 papers, 495 citations indexed

About

Daniele Pizzichini is a scholar working on Organic Chemistry, Molecular Biology and Biochemistry. According to data from OpenAlex, Daniele Pizzichini has authored 13 papers receiving a total of 495 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Organic Chemistry, 5 papers in Molecular Biology and 4 papers in Biochemistry. Recurrent topics in Daniele Pizzichini's work include Edible Oils Quality and Analysis (6 papers), Antioxidant Activity and Oxidative Stress (3 papers) and Essential Oils and Antimicrobial Activity (2 papers). Daniele Pizzichini is often cited by papers focused on Edible Oils Quality and Analysis (6 papers), Antioxidant Activity and Oxidative Stress (3 papers) and Essential Oils and Antimicrobial Activity (2 papers). Daniele Pizzichini collaborates with scholars based in Italy, Germany and United States. Daniele Pizzichini's co-authors include Giovanni Giuliano, Raffaela Tavazza, Peter Beyer, F. Mourgues, Gianfranco Diretto, Ralf Welsch, V. Papacchioli, Maria Luisa Chiusano, Nunzio D’Agostino and Douglas M. Noonan and has published in prestigious journals such as Cancer Research, Journal of Cleaner Production and Plant Science.

In The Last Decade

Daniele Pizzichini

13 papers receiving 473 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Daniele Pizzichini 301 239 172 91 58 13 495
Erika Turcsi 324 1.1× 267 1.1× 165 1.0× 46 0.5× 26 0.4× 20 520
Wenen Zhao 245 0.8× 241 1.0× 146 0.8× 36 0.4× 39 0.7× 18 525
Rangaswamy Lakshminarayana 188 0.6× 296 1.2× 82 0.5× 70 0.8× 79 1.4× 19 504
Marina Khanin 217 0.7× 248 1.0× 50 0.3× 50 0.5× 55 0.9× 14 503
Eleni Naziri 223 0.7× 108 0.5× 69 0.4× 166 1.8× 70 1.2× 20 551
Hridya Hemachandran 194 0.6× 165 0.7× 123 0.7× 44 0.5× 28 0.5× 23 482
Fabiana Labanca 155 0.5× 117 0.5× 92 0.5× 86 0.9× 37 0.6× 14 410
Anne Partier 213 0.7× 266 1.1× 87 0.5× 72 0.8× 66 1.1× 13 499
Karin Linnewiel‐Hermoni 159 0.5× 261 1.1× 43 0.3× 44 0.5× 44 0.8× 8 427
Marielle Margier 119 0.4× 133 0.6× 120 0.7× 174 1.9× 31 0.5× 18 542

Countries citing papers authored by Daniele Pizzichini

Since Specialization
Citations

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

Fields of papers citing papers by Daniele Pizzichini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniele Pizzichini

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

All Works

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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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