J. C. do C. Panetto

954 citations
63 papers · 605 indexed · h-index 13
Topics
Genetic and phenotypic traits in livestock (48 papers)Genetic Mapping and Diversity in Plants and Animals (29 papers)Reproductive Physiology in Livestock (11 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEJournal of Dairy Science

In The Last Decade

J. C. do C. Panetto

56 papers receiving 597 citations

Peers

J. C. do C. Panetto
Comparison fields: 5 of 51
  • Genetics 513
  • Agronomy and Crop Science 207
  • Animal Science and Zoology 155
  • Plant Science 96
  • Cancer Research 94
Replace Lucas Lima Verardo with:
Lucas Lima Verardo Brazil
Daniel Jordan de Abreu Santos Brazil
Aníbal Eugênio Vercesi Filho Brazil
F. J. Lopez Mexico
D.A. Grossi Brazil
B. Benkel Canada
L. L. L. Prince India
Mengistie Taye Ethiopia
Marcos Eli Buzanskas Brazil
Sarah Laguna Conceição Meirelles Brazil
J. C. do C. Panetto relative to Lucas Lima Verardo Brazil Lucas Lima Verardo's profile →
Citations per field
00.5×1.5×2.4×
Lucas Lima Verardo · 1×
Citations per year

Countries citing papers authored by J. C. do C. Panetto

Since Specialization
Citations

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

Fields of papers citing papers by J. C. do C. Panetto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. C. do C. Panetto. 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 J. C. do C. Panetto. The network helps show where J. C. do C. Panetto may publish in the future.

Co-authorship network of co-authors of J. C. do C. Panetto

This figure shows the co-authorship network connecting the top 25 collaborators of J. C. do C. Panetto. A scholar is included among the top collaborators of J. C. do C. Panetto 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 J. C. do C. Panetto. J. C. do C. Panetto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Erythrocyte profile of Gir, Nellore and Guzera cattle (Bos taurus indicus, Linnaeus, 1758) in Uberaba-MG.
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Verificação de condições pré-abate de bovinos e influência no pH da carne obtida
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About J. C. do C. Panetto

J. C. do C. Panetto is a scholar working on Agronomy and Crop Science, Genetics and Animal Science and Zoology, having authored 63 papers that have together received 605 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (48 papers), Genetic Mapping and Diversity in Plants and Animals (29 papers) and Reproductive Physiology in Livestock (11 papers). The work is most often cited by research in Agronomy and Crop Science (207 citations), Genetics (513 citations) and Animal Science and Zoology (155 citations). J. C. do C. Panetto has collaborated with scholars based in Brazil, United States and Netherlands. Frequent co-authors include Marcos Vinícius Gualberto Barbosa da Silva, Marco Antônio Machado, Elisa Peripolli, Fernando Baldi, Nedenia Bonvino Stafuzza, Danísio Prado Munari, R.S. Verneque, Ricardo Vieira Ventura, R. Irgang and Maria Gabriela Campolina Diniz Peixoto. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Dairy Science.

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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