Matteo Chincarini

40 total papers · 631 total citations
30 papers, 446 citations indexed

About

Matteo Chincarini is a scholar working on Small Animals, Animal Science and Zoology and Agronomy and Crop Science. According to data from OpenAlex, Matteo Chincarini has authored 30 papers receiving a total of 446 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Small Animals, 13 papers in Animal Science and Zoology and 7 papers in Agronomy and Crop Science. Recurrent topics in Matteo Chincarini's work include Animal Behavior and Welfare Studies (13 papers), Effects of Environmental Stressors on Livestock (8 papers) and Meat and Animal Product Quality (5 papers). Matteo Chincarini is often cited by papers focused on Animal Behavior and Welfare Studies (13 papers), Effects of Environmental Stressors on Livestock (8 papers) and Meat and Animal Product Quality (5 papers). Matteo Chincarini collaborates with scholars based in Italy, Norway and China. Matteo Chincarini's co-authors include Giorgio Vignola, Isa Fusaro, Melania Giammarco, H. Levit, Nicola Ferri, Ludovica Maria Eugenia Mammi, Andrea Formigoni, Michela Minero, Emanuela Dalla Costa and Bruno Cozzi and has published in prestigious journals such as Scientific Reports, eLife and Theriogenology.

In The Last Decade

Matteo Chincarini

29 papers receiving 429 citations

Author Peers

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

Author Last Decade Papers Cites
Matteo Chincarini 172 157 99 90 73 30 446
M Wodzicka-Tomaszewska 174 1.0× 191 1.2× 145 1.5× 165 1.8× 23 0.3× 37 469
Nathalie Debus 65 0.4× 100 0.6× 228 2.3× 126 1.4× 15 0.2× 25 420
Giovanni Buonaiuto 102 0.6× 197 1.3× 169 1.7× 108 1.2× 44 0.6× 31 403
Marcelo Daniel Ghezzi 186 1.1× 232 1.5× 64 0.6× 77 0.9× 25 0.3× 44 441
L. A. Fitzpatrick 112 0.7× 230 1.5× 192 1.9× 126 1.4× 24 0.3× 33 490
H. Doornenbal 102 0.6× 247 1.6× 117 1.2× 138 1.5× 27 0.4× 33 477
Helen Gray 145 0.8× 75 0.5× 17 0.2× 79 0.9× 31 0.4× 15 382
Maria Sabés‐Alsina 112 0.7× 192 1.2× 80 0.8× 68 0.8× 28 0.4× 23 473
L. Mounier 262 1.5× 333 2.1× 56 0.6× 93 1.0× 24 0.3× 13 454
Giuliana G. Miguel-Pacheco 312 1.8× 222 1.4× 132 1.3× 137 1.5× 40 0.5× 19 434

Countries citing papers authored by Matteo Chincarini

Since Specialization
Citations

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

Fields of papers citing papers by Matteo Chincarini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo Chincarini

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