Andrea Piva

245 total papers · 4.9k total citations
145 papers, 3.7k citations indexed

About

Andrea Piva is a scholar working on Animal Science and Zoology, Food Science and Plant Science. According to data from OpenAlex, Andrea Piva has authored 145 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Animal Science and Zoology, 49 papers in Food Science and 24 papers in Plant Science. Recurrent topics in Andrea Piva's work include Animal Nutrition and Physiology (54 papers), Essential Oils and Antimicrobial Activity (20 papers) and Meat and Animal Product Quality (19 papers). Andrea Piva is often cited by papers focused on Animal Nutrition and Physiology (54 papers), Essential Oils and Antimicrobial Activity (20 papers) and Meat and Animal Product Quality (19 papers). Andrea Piva collaborates with scholars based in Italy, United States and Germany. Andrea Piva's co-authors include Ester Grilli, Fabio Galvano, Benedetta Tugnoli, Fabio Trincardi, Alessandra Asioli, Alberto Ritieni, G. Biagi, G. Galvano, G. Piva and Amedeo Pietri and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Andrea Piva

135 papers receiving 3.5k citations

Author Peers

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

Author Last Decade Papers Cites
Andrea Piva 1.3k 994 921 542 519 145 3.7k
Mark A. Harrison 527 0.4× 1.8k 1.8× 454 0.5× 528 1.0× 936 1.8× 141 4.1k
José A. Fernández 625 0.5× 166 0.2× 1.8k 1.9× 943 1.7× 59 0.1× 155 4.1k
William E. Holben 223 0.2× 360 0.4× 1.7k 1.8× 1.7k 3.1× 103 0.2× 78 6.2k
Yingjun Zhang 346 0.3× 194 0.2× 1.6k 1.7× 546 1.0× 190 0.4× 232 4.9k
Pinghua Li 374 0.3× 232 0.2× 3.0k 3.2× 3.3k 6.1× 128 0.2× 157 5.8k
Luming Ding 312 0.2× 281 0.3× 296 0.3× 559 1.0× 119 0.2× 87 2.5k
Daowei Zhou 342 0.3× 174 0.2× 980 1.1× 297 0.5× 202 0.4× 91 2.5k
Nina Gunde‐Cimerman 108 0.1× 856 0.9× 3.4k 3.7× 3.6k 6.6× 181 0.3× 208 9.3k
Pietro Buzzini 93 0.1× 1.0k 1.0× 1.2k 1.3× 2.2k 4.1× 144 0.3× 138 4.5k
Grady L. Webster 718 0.5× 306 0.3× 2.4k 2.6× 1.6k 3.0× 52 0.1× 113 6.8k

Countries citing papers authored by Andrea Piva

Since Specialization
Citations

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

Fields of papers citing papers by Andrea Piva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrea Piva

This figure shows the co-authorship network connecting the top 25 collaborators of Andrea Piva. A scholar is included among the top collaborators of Andrea Piva 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 Andrea Piva. Andrea Piva 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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