P. F. Giachetto

82 total papers · 633 total citations
27 papers, 351 citations indexed

About

P. F. Giachetto is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, P. F. Giachetto has authored 27 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Genetics and 6 papers in Plant Science. Recurrent topics in P. F. Giachetto's work include Animal Nutrition and Physiology (4 papers), Genomic variations and chromosomal abnormalities (3 papers) and Genetic and phenotypic traits in livestock (3 papers). P. F. Giachetto is often cited by papers focused on Animal Nutrition and Physiology (4 papers), Genomic variations and chromosomal abnormalities (3 papers) and Genetic and phenotypic traits in livestock (3 papers). P. F. Giachetto collaborates with scholars based in Brazil, United States and Germany. P. F. Giachetto's co-authors include Maria Inês Tiraboschi Ferro, Jesus Aparecido Ferro, Marcos Macari, Renato Andreotti, Rodrigo Casquero Cunha, Marcos Valério Garcia, Luiz Lehmann Coutinho, Alexandre Rodrigues Caetano, Samuel Rezende Paiva and M. E. B. Yamagishi and has published in prestigious journals such as PLoS ONE, Bioresource Technology and Scientific Reports.

In The Last Decade

P. F. Giachetto

24 papers receiving 334 citations

Author Peers

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

Author Last Decade Papers Cites
P. F. Giachetto 115 113 107 58 42 27 351
Nikola Palevich 48 0.4× 25 0.2× 155 1.4× 34 0.6× 75 1.8× 44 374
Imtiaz Hussain Raja Abbasi 72 0.6× 32 0.3× 71 0.7× 141 2.4× 23 0.5× 22 397
Daisy A. Kuhn 34 0.3× 19 0.2× 145 1.4× 19 0.3× 45 1.1× 28 344
Tomomi Ban‐Tokuda 28 0.2× 66 0.6× 86 0.8× 116 2.0× 6 0.1× 31 323
Camila C. Fernandes 68 0.6× 36 0.3× 112 1.0× 38 0.7× 10 0.2× 28 307
Jiaojiao Yu 111 1.0× 87 0.8× 143 1.3× 41 0.7× 21 0.5× 30 375
Pauline Rees Stevens 55 0.5× 35 0.3× 102 1.0× 26 0.4× 11 0.3× 14 314
Claudia Faverín 120 1.0× 59 0.5× 23 0.2× 44 0.8× 13 0.3× 30 399
M. Höltershinken 38 0.3× 43 0.4× 50 0.5× 76 1.3× 19 0.5× 33 347
Milene Ferro 70 0.6× 114 1.0× 63 0.6× 31 0.5× 27 0.6× 27 320

Countries citing papers authored by P. F. Giachetto

Since Specialization
Citations

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

Fields of papers citing papers by P. F. Giachetto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P. F. Giachetto. 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 P. F. Giachetto. The network helps show where P. F. Giachetto may publish in the future.

Co-authorship network of co-authors of P. F. Giachetto

This figure shows the co-authorship network connecting the top 25 collaborators of P. F. Giachetto. A scholar is included among the top collaborators of P. F. Giachetto 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 P. F. Giachetto. P. F. Giachetto 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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