M.C. Cozzi

645 citations
38 papers · 494 · h-index 13

Impact in

  • Equine top 5%
    • Veterinary Equine Medical Research
    • Livestock and Poultry Management
    • Effects of Environmental Stressors on Livestock
    • Animal Nutrition and Physiology

Papers in

    • Genetic and phenotypic traits in livestock 26
    • Genetic diversity and population structure 6
    • Livestock and Poultry Management 8
    • Effects of Environmental Stressors on Livestock 3

M.C. Cozzi

34 papers receiving 483 citations

Peers

M.C. Cozzi
Comparison fields: 5 of 38
  • Equine 38
  • Animal Science and Zoology 150
  • Genetics 312
  • Small Animals 46
  • Agronomy and Crop Science 12
Replace In‐Cheol Cho with:
In‐Cheol Cho South Korea
Aranganoor Kannan Thiruvenkadan India
André Neau France
Masanori KOMATSU Japan
Jolanta Kurył Poland
Rasoul Vaez Torshizi Iran
Andreas Höfer Switzerland
R. K. Vijh India
S. K. Niranjan India
A. da S. Mariante Brazil
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Citations per field
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In‐Cheol Cho · 1×
Citations per year

Countries citing papers authored by M.C. Cozzi

Since Specialization
Citations

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

Fields of papers citing papers by M.C. Cozzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.C. Cozzi. 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 M.C. Cozzi. The network helps show where M.C. Cozzi may publish in the future.

Co-authors

The 25 scholars most cited alongside M.C. Cozzi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M.C. Cozzi Line = papers co-authored together M.C. Cozzi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201581
2 201639
3 201437
4 201732
5 201029
6 200428
7 200825
8 201021
9 201821
10 201419
11 201717
12 201717
13 201716
14 201513
15 202113
16 20099
17 20188
18 20047
19 20157
20 20197

About M.C. Cozzi

M.C. Cozzi is a scholar working on Genetics, Animal Science and Zoology, Equine, Small Animals and Insect Science, having authored 38 papers that have together received 494 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (26 papers), Veterinary Equine Medical Research (8 papers), Livestock and Poultry Management (8 papers), Genetic diversity and population structure (6 papers), Animal Behavior and Welfare Studies (3 papers), Effects of Environmental Stressors on Livestock (3 papers), Skin and Cellular Biology Research (2 papers) and Insect and Pesticide Research (2 papers). The work is most often cited by research in Equine (38 citations), Animal Science and Zoology (150 citations), Genetics (312 citations), Small Animals (46 citations) and Agronomy and Crop Science (12 citations). M.C. Cozzi has collaborated with scholars based in Italy, Mexico and United States. Frequent co-authors include Maria Giuseppina Strillacci, A. Bagnato, Stefano Paolo Marelli, M. Longeri, Francesca Maria Sarti, Genciana Terova, Emiliano Lasagna, Silvia Cerolini, Giovanni Bernardini and Simona Rimoldi. Their work appears in journals such as Italian Journal of Animal Science, Animals, Livestock Science, BMC Genetics and Animal Genetics.

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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