F. A. M. Duarte

463 total citations
12 papers, 383 citations indexed

About

F. A. M. Duarte is a scholar working on Genetics, General Health Professions and Agronomy and Crop Science. According to data from OpenAlex, F. A. M. Duarte has authored 12 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Genetics, 2 papers in General Health Professions and 2 papers in Agronomy and Crop Science. Recurrent topics in F. A. M. Duarte's work include Genetic and phenotypic traits in livestock (6 papers), Livestock Management and Performance Improvement (2 papers) and Indigenous Health and Education (2 papers). F. A. M. Duarte is often cited by papers focused on Genetic and phenotypic traits in livestock (6 papers), Livestock Management and Performance Improvement (2 papers) and Indigenous Health and Education (2 papers). F. A. M. Duarte collaborates with scholars based in Brazil, Canada and United States. F. A. M. Duarte's co-authors include James M. Cheverud, Eric J. Routman, Bruno van Swinderen, José Eduardo Dutra de Oliveira, I. D. Desai, Bruno Salvador Oliveira, A Douglas, Raysildo Barbosa Lôbo, C.J. Wilcox and Francesca Vichi and has published in prestigious journals such as American Journal of Clinical Nutrition, Genetics and Journal of Dairy Science.

In The Last Decade

F. A. M. Duarte

8 papers receiving 359 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
F. A. M. Duarte Brazil 5 267 82 69 51 32 12 383
Akihisa SHINJO Japan 12 121 0.5× 76 0.9× 24 0.3× 104 2.0× 4 0.1× 39 423
J. L. Noguera Spain 10 340 1.3× 50 0.6× 60 0.9× 69 1.4× 20 482
Jean‐Pierre Brillard France 10 171 0.6× 17 0.2× 28 0.4× 93 1.8× 3 0.1× 15 437
Л. В. Осадчук Russia 12 74 0.3× 29 0.4× 19 0.3× 88 1.7× 2 0.1× 78 403
Jhuma Datta India 9 91 0.3× 56 0.7× 17 0.2× 34 0.7× 27 420
Shaopan Ye China 14 380 1.4× 77 0.9× 13 0.2× 95 1.9× 39 619
J. P. Wiggins United States 8 131 0.5× 21 0.3× 98 1.4× 87 1.7× 15 448
A. C. Clutter United States 14 393 1.5× 52 0.6× 45 0.7× 38 0.7× 26 651
C. B. Gow Australia 13 74 0.3× 25 0.3× 17 0.2× 73 1.4× 31 375
L. Dusza Poland 16 224 0.8× 30 0.4× 21 0.3× 90 1.8× 46 672

Countries citing papers authored by F. A. M. Duarte

Since Specialization
Citations

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

Fields of papers citing papers by F. A. M. Duarte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by F. A. M. Duarte. 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 F. A. M. Duarte. The network helps show where F. A. M. Duarte may publish in the future.

Co-authorship network of co-authors of F. A. M. Duarte

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

All Works

12 of 12 papers shown
1.
Barbosa, Pedro & F. A. M. Duarte. (2015). Crossbreeding and new beef cattle breeds in Brazil.. Americanae (AECID Library).
3.
Duarte, F. A. M., et al.. (2000). Localization of genes modulating the predisposition to schizophrenia: a revision. Genetics and Molecular Biology. 23(3). 549–556. 2 indexed citations
4.
Cheverud, James M., et al.. (1996). Quantitative Trait Loci for Murine Growth. Genetics. 142(4). 1305–1319. 289 indexed citations
5.
Lôbo, Raysildo Barbosa, et al.. (1994). Bivariate animal model analysis of growth weights and scrotal circumference of Nellore cattle in Brazil.. Proceedings of the World Congress on Genetics applied to Livestock Production. 199–201. 6 indexed citations
6.
Lôbo, Raysildo Barbosa, et al.. (1984). Genetic and environmental effects on milk yield of Pitangueiras cattle. Animal Science. 39(2). 157–163. 11 indexed citations
7.
Freitas, María, et al.. (1982). Genetic parameters for Holstein milk production in Brazil. Revista brasileira de genetica. 5(1). 147–155. 3 indexed citations
8.
Desai, I. D., et al.. (1981). Anthropometric and cycloergometric assessment of the nutritional status of the children of agricultural migrant workers in Southern Brazil. American Journal of Clinical Nutrition. 34(9). 1925–1934. 25 indexed citations
9.
Lôbo, Raysildo Barbosa, F. A. M. Duarte, A. A. Ramos, M. J. King, & C.J. Wilcox. (1980). Genetic trends in milk production in a closed herd of Gir cattle.. Journal of Dairy Science. 63. 2 indexed citations
10.
Oliveira, José Eduardo Dutra de, Vera Heloísa Pileggi Vinha, & F. A. M. Duarte. (1980). Reaching preschool children through a community food program†. Ecology of Food and Nutrition. 9(4). 223–228.
11.
Desai, I. D., et al.. (1980). Food habits and nutritional status of agricultural migrant workers in Southern Brazil. American Journal of Clinical Nutrition. 33(3). 702–714. 45 indexed citations
12.
Vannucchi, Hélio, et al.. (1979). Studies of the growth and cell dynamics of the intestinal epithelium in corn and sorghum-fed rats.. PubMed. 29(3). 375–85.

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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