D. Zanetti

665 total citations
44 papers, 432 citations indexed

About

D. Zanetti is a scholar working on Agronomy and Crop Science, Genetics and Animal Science and Zoology. According to data from OpenAlex, D. Zanetti has authored 44 papers receiving a total of 432 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Agronomy and Crop Science, 23 papers in Genetics and 22 papers in Animal Science and Zoology. Recurrent topics in D. Zanetti's work include Ruminant Nutrition and Digestive Physiology (34 papers), Genetic and phenotypic traits in livestock (23 papers) and Animal Nutrition and Physiology (15 papers). D. Zanetti is often cited by papers focused on Ruminant Nutrition and Digestive Physiology (34 papers), Genetic and phenotypic traits in livestock (23 papers) and Animal Nutrition and Physiology (15 papers). D. Zanetti collaborates with scholars based in Brazil, United States and Argentina. D. Zanetti's co-authors include Sebastião de Campos Valadares Filho, Edênio Detmann, Luiz Fernando Costa e Silva, Laura Franco Prados, Polyana Pizzi Rotta, M. L. Chizzotti, Ana Clara B Menezes, B. C. Silva, Rilene Ferreira Diniz Valadares and Stefanie Alvarenga Santos and has published in prestigious journals such as PLoS ONE, Agriculture Ecosystems & Environment and Journal of Animal Science.

In The Last Decade

D. Zanetti

41 papers receiving 427 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
D. Zanetti Brazil 12 344 168 162 55 52 44 432
Laura Franco Prados Brazil 11 373 1.1× 184 1.1× 172 1.1× 73 1.3× 46 0.9× 53 480
N. Galvin Ireland 13 301 0.9× 104 0.6× 181 1.1× 41 0.7× 66 1.3× 26 397
E.H. Cabezas-Garcia Sweden 12 464 1.3× 180 1.1× 186 1.1× 49 0.9× 123 2.4× 22 542
M. H. M. R. Fernandes Brazil 12 287 0.8× 186 1.1× 174 1.1× 37 0.7× 92 1.8× 53 429
K.W. Cotanch Japan 12 430 1.3× 110 0.7× 178 1.1× 53 1.0× 45 0.9× 18 499
Carla Joice Härter Brazil 13 410 1.2× 169 1.0× 159 1.0× 63 1.1× 48 0.9× 51 528
Luiz Fernando Costa e Silva Brazil 15 477 1.4× 228 1.4× 229 1.4× 76 1.4× 75 1.4× 49 627
A. V. Pires Brazil 11 278 0.8× 210 1.3× 236 1.5× 60 1.1× 27 0.5× 51 501
S.M. Nasrollahi Iran 13 318 0.9× 106 0.6× 156 1.0× 23 0.4× 48 0.9× 32 391
J. Verbič Slovenia 7 444 1.3× 132 0.8× 150 0.9× 56 1.0× 43 0.8× 13 529

Countries citing papers authored by D. Zanetti

Since Specialization
Citations

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

Fields of papers citing papers by D. Zanetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Zanetti

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

All Works

20 of 20 papers shown
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Santos, Stefanie Alvarenga, Gleidson Giordano Pinto de Carvalho, José Augusto Gomes Azevêdo, et al.. (2021). Metabolizable Protein: 1. Predicting Equations to Estimate Microbial Crude Protein Synthesis in Small Ruminants. Frontiers in Veterinary Science. 8. 650248–650248. 12 indexed citations
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Silva, B. C., et al.. (2019). A suitable enzymatic method for starch quantification in different organic matrices. MethodsX. 6. 2322–2328. 13 indexed citations
6.
Menezes, Ana Clara B, D. Zanetti, Mário Fonseca Paulino, et al.. (2019). 148 Residual feed intake and body weight gain relate to feeding behavior in Nellore bulls: Implications for performance and maintenance requirements. Journal of Animal Science. 97(Supplement_3). 149–150. 1 indexed citations
7.
Menezes, Ana Clara B, Sebastião de Campos Valadares Filho, B. C. Silva, et al.. (2019). Oscillating and static dietary crude protein supply. I. Impacts on intake, digestibility, performance, and nitrogen balance in young Nellore bulls1. Translational Animal Science. 3(4). 1205–1215. 9 indexed citations
8.
Nardino, Maicon, Velci Queiróz de Souza, Diego Nicolau Follmann, et al.. (2017). REML/BLUP PARA ESTIMATIVA DOS COMPONENTES DE VARIÂNCIA E VALORES GENOTÍPICOS EM GENÓTIPOS DE TRIGO. Global Science and Technology. 9(3). 1 indexed citations
9.
Zanetti, D., Sebastião de Campos Valadares Filho, Laura Franco Prados, et al.. (2017). Impacts of reduction of phosphorus in finishing diets for Holstein×Zebu steers. Livestock Science. 198. 45–51. 4 indexed citations
10.
Menezes, Ana Clara B, Sebastião de Campos Valadares Filho, Luiz Fernando Costa e Silva, et al.. (2016). Does a reduction in dietary crude protein content affect performance, nutrient requirements, nitrogen losses, and methane emissions in finishing Nellore bulls?. Agriculture Ecosystems & Environment. 223. 239–249. 36 indexed citations
11.
Prados, Laura Franco, D. Zanetti, Lays Débora Silva Mariz, et al.. (2016). Technical note: Prediction of chemical rib section composition by dual energy X-ray absorptiometry in Zebu beef cattle1. Journal of Animal Science. 94(6). 2479–2484. 3 indexed citations
12.
Gionbelli, Mateus Pies, Márcio de Souza Duarte, Sebastião de Campos Valadares Filho, et al.. (2015). Achieving Body Weight Adjustments for Feeding Status and Pregnant or Non-Pregnant Condition in Beef Cows. PLoS ONE. 10(3). e0112111–e0112111. 34 indexed citations
13.
Filho, Sebastião de Campos Valadares, N. López‐Villalobos, José Reinaldo Mendes Ruas, et al.. (2015). Effect of feeding strategies on weaning weight and milk production of Holstein × Zebu calves in dual purpose milk production systems. Tropical Animal Health and Production. 47(6). 1095–1100. 5 indexed citations
14.
Mariz, Lays Débora Silva, Sebastião de Campos Valadares Filho, Edênio Detmann, et al.. (2013). Intake and ruminal digestion determined using omasal and reticular digesta samples in cattle fed diets containing sugar cane in natura or ensiled sugar cane compared with maize silage. Livestock Science. 155(1). 71–76. 21 indexed citations
15.
Silva, Luiz Fernando Costa e, Sebastião de Campos Valadares Filho, M. L. Chizzotti, et al.. (2013). Models to predict muscle tissue and crude protein in beef cattle. Livestock Science. 160. 186–193. 8 indexed citations
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Zanetti, D., et al.. (2012). Conectando Comunidades Construyendo Saberes. 2(2).
17.
Silva, Luiz Fernando Costa e, Sebastião de Campos Valadares Filho, M. L. Chizzotti, et al.. (2012). Creatinine excretion and relationship with body weight of Nellore cattle. Revista Brasileira de Zootecnia. 41(3). 807–810. 68 indexed citations
18.
Silva, Luiz Fernando Costa e, Sebastião de Campos Valadares Filho, Edênio Detmann, et al.. (2012). Evaluation of equations to predict body composition in Nellore bulls. Livestock Science. 151(1). 46–57. 7 indexed citations
19.
Filho, Sebastião de Campos Valadares, et al.. (2012). Intake and performance of feedlot cattle fed diets based on high and low Brix sugar cane with or without calcium oxide and corn silage. Revista Brasileira de Zootecnia. 41(6). 1499–1508. 6 indexed citations
20.
Silva, Luiz Fernando Costa e, et al.. (2012). Performance, growth, and maturity of Nellore bulls. Tropical Animal Health and Production. 45(3). 795–803. 16 indexed citations

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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