G. Canestrari

56 total papers · 863 total citations
30 papers, 495 citations indexed

About

G. Canestrari is a scholar working on Agronomy and Crop Science, Pathology and Forensic Medicine and Genetics. According to data from OpenAlex, G. Canestrari has authored 30 papers receiving a total of 495 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Agronomy and Crop Science, 10 papers in Pathology and Forensic Medicine and 8 papers in Genetics. Recurrent topics in G. Canestrari's work include Ruminant Nutrition and Digestive Physiology (12 papers), Systemic Sclerosis and Related Diseases (10 papers) and Genetic and phenotypic traits in livestock (8 papers). G. Canestrari is often cited by papers focused on Ruminant Nutrition and Digestive Physiology (12 papers), Systemic Sclerosis and Related Diseases (10 papers) and Genetic and phenotypic traits in livestock (8 papers). G. Canestrari collaborates with scholars based in Italy, Czechia and United States. G. Canestrari's co-authors include Andrea Formigoni, Alberto Palmonari, Mattia Fustini, Ludovica Maria Eugenia Mammi, Silvia Laura Bosello, Gianfranco Ferraccioli, Giacomo De Luca, Ester Grilli, Elisa Gremese and F Gabrielli and has published in prestigious journals such as PLoS ONE, Annals of the Rheumatic Diseases and Journal of Dairy Science.

In The Last Decade

G. Canestrari

29 papers receiving 484 citations

Author Peers

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

Author Last Decade Papers Cites
G. Canestrari 233 146 109 107 73 30 495
Suzanne Ryan 45 0.2× 27 0.2× 64 0.6× 41 0.4× 132 1.8× 29 494
E. E. Wheeler 115 0.5× 30 0.2× 18 0.2× 108 1.0× 74 1.0× 33 480
A Gunn 92 0.4× 122 0.8× 37 0.3× 95 0.9× 27 0.4× 51 528
D. E. Tyler 79 0.3× 24 0.2× 26 0.2× 34 0.3× 35 0.5× 29 518
Kazuo Nagashima 154 0.7× 20 0.1× 36 0.3× 44 0.4× 100 1.4× 16 448
B. Schiefer 47 0.2× 22 0.2× 25 0.2× 24 0.2× 90 1.2× 54 540
R. B. Johnson 27 0.1× 26 0.2× 187 1.7× 111 1.0× 154 2.1× 30 541
Jun Gu 18 0.1× 36 0.2× 167 1.5× 129 1.2× 24 0.3× 33 494
R. V. Singh 19 0.1× 30 0.2× 85 0.8× 96 0.9× 91 1.2× 30 503
Tao Zheng 101 0.4× 10 0.1× 91 0.8× 41 0.4× 73 1.0× 20 528

Countries citing papers authored by G. Canestrari

Since Specialization
Citations

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

Fields of papers citing papers by G. Canestrari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Canestrari

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