Gianfranco Piva

1.0k total citations
26 papers, 827 citations indexed

About

Gianfranco Piva is a scholar working on Plant Science, Animal Science and Zoology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Gianfranco Piva has authored 26 papers receiving a total of 827 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Plant Science, 9 papers in Animal Science and Zoology and 5 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Gianfranco Piva's work include Mycotoxins in Agriculture and Food (9 papers), Botanical Research and Chemistry (5 papers) and Meat and Animal Product Quality (5 papers). Gianfranco Piva is often cited by papers focused on Mycotoxins in Agriculture and Food (9 papers), Botanical Research and Chemistry (5 papers) and Meat and Animal Product Quality (5 papers). Gianfranco Piva collaborates with scholars based in Italy and United States. Gianfranco Piva's co-authors include Aldo Prandini, Samantha Sigolo, Amedeo Pietri, M. Morlacchini, G. Fusconi, F. Masoero, Fabio Galvano, Maurizio Moschini, Alberto Ritieni and Nico Brogna and has published in prestigious journals such as PLoS ONE, British Journal Of Nutrition and Food Control.

In The Last Decade

Gianfranco Piva

25 papers receiving 756 citations

Peers

Gianfranco Piva
Comparison fields: 5 of 82
  • Plant Science 419
  • Animal Science and Zoology 244
  • Molecular Biology 201
  • Food Science 187
  • Nutrition and Dietetics 169
Replace Matteo Bognanno with:
Matteo Bognanno Italy
Haizhu Zhou China
L. Buraczewska Poland
Alexandra C. Weaver United States
A.M. Fouad Egypt
Magdalena Gajęcka Poland
M. Gajęcki Poland
Micaela Grossi Italy
Qingqiang Yin China
Matteo Bognanno Italy View profile →
Citations per field, relative to Gianfranco Piva
Gianfranco Piva · 1×
Citations per year, relative to Gianfranco Piva
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Countries citing papers authored by Gianfranco Piva

Since Specialization
Citations

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

Fields of papers citing papers by Gianfranco Piva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gianfranco Piva

This figure shows the co-authorship network connecting the top 25 collaborators of Gianfranco Piva. A scholar is included among the top collaborators of Gianfranco 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 Gianfranco Piva. Gianfranco Piva 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
# Work Indexed citations
1 16
2 3
3 27
4 4
5 17
6 75
7 41
8 24
9 5
10 19
11 7
12 30
13 97
14 69
15 62
16 33
17 71
18 60
19 14
20 24

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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