D.A.A. Oliveira

1.3k total citations
49 papers, 732 citations indexed

About

D.A.A. Oliveira is a scholar working on Genetics, Nature and Landscape Conservation and Aquatic Science. According to data from OpenAlex, D.A.A. Oliveira has authored 49 papers receiving a total of 732 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Genetics, 10 papers in Nature and Landscape Conservation and 10 papers in Aquatic Science. Recurrent topics in D.A.A. Oliveira's work include Animal Genetics and Reproduction (13 papers), Genetic and phenotypic traits in livestock (12 papers) and Fish biology, ecology, and behavior (8 papers). D.A.A. Oliveira is often cited by papers focused on Animal Genetics and Reproduction (13 papers), Genetic and phenotypic traits in livestock (12 papers) and Fish biology, ecology, and behavior (8 papers). D.A.A. Oliveira collaborates with scholars based in Brazil, United States and Australia. D.A.A. Oliveira's co-authors include Daniel C. Carvalho, Bruno S. A. F. Brasil, Marcela Gonçalves Drummond, Eduardo Bastianetto, Paulo dos Santos Pompeu, Cecília Gontijo Leal, Cláudio Oliveira, Robert Hanner, Luciano B. Beheregaray and Edgar de Alencar Teixeira and has published in prestigious journals such as SHILAP Revista de lepidopterología, Molecular Microbiology and Aquaculture.

In The Last Decade

D.A.A. Oliveira

47 papers receiving 706 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.A.A. Oliveira Brazil 16 275 238 231 194 162 49 732
Ø. Lie Norway 18 168 0.6× 270 1.1× 368 1.6× 573 3.0× 162 1.0× 40 1.3k
Hans-Christian Ingerslev Denmark 12 399 1.5× 273 1.1× 46 0.2× 58 0.3× 112 0.7× 13 956
A. E. Tinch United Kingdom 16 237 0.9× 621 2.6× 179 0.8× 972 5.0× 184 1.1× 21 1.9k
Timothy D. Leeds United States 25 264 1.0× 731 3.1× 259 1.1× 1.1k 5.5× 185 1.1× 77 2.0k
Scott Newman United States 17 62 0.2× 273 1.1× 123 0.5× 555 2.9× 89 0.5× 34 956
Diane G. Elliott United States 19 149 0.5× 162 0.7× 324 1.4× 59 0.3× 174 1.1× 43 912
Pravata Kumar Pradhan India 19 216 0.8× 350 1.5× 108 0.5× 115 0.6× 148 0.9× 67 1.1k
K. Watanabe Norway 22 287 1.0× 210 0.9× 133 0.6× 94 0.5× 363 2.2× 37 1.2k
Keiichi Mushiake Japan 24 199 0.7× 996 4.2× 240 1.0× 171 0.9× 195 1.2× 66 2.1k
Mark Henryon Denmark 19 96 0.3× 255 1.1× 166 0.7× 956 4.9× 112 0.7× 52 1.4k

Countries citing papers authored by D.A.A. Oliveira

Since Specialization
Citations

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

Fields of papers citing papers by D.A.A. Oliveira

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D.A.A. Oliveira

This figure shows the co-authorship network connecting the top 25 collaborators of D.A.A. Oliveira. A scholar is included among the top collaborators of D.A.A. Oliveira 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.A.A. Oliveira. D.A.A. Oliveira 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
1.
Oliveira, D.A.A., et al.. (2024). A Simplified Daily Fit Model to Reduce Costs and Nutrient Intake in Growing-Finishing Pigs. Animals. 14(20). 2922–2922. 2 indexed citations
2.
Bastianetto, Eduardo, et al.. (2020). Genetic material from buffalo and cattle: crucial importance in the formalization of bilateral trade between India and Brazil. Animal Reproduction. 17(4). e20200031–e20200031. 2 indexed citations
3.
Drummond, Marcela Gonçalves, Eduardo Bastianetto, Clóvis de Paula Santos, et al.. (2019). Molecular method for the semiquantitative identification of gastrointestinal nematodes in domestic ruminants. Parasitology Research. 119(2). 529–543. 19 indexed citations
4.
Prosdocimi, Francisco, Nicholas Costa Barroso Lima, Igor Costa, et al.. (2017). Comparative genomics and phylogenomics of Trichostrongyloidea mitochondria reveal insights for molecular diagnosis and evolutionary biology of nematode worms. Gene Reports. 9. 65–73. 3 indexed citations
5.
Henry, M., et al.. (2017). Bovine thyroglobulin gene polymorphisms and their association with sexual precocity in Guzerat bulls. Reproduction in Domestic Animals. 52(5). 911–913. 6 indexed citations
6.
Melo, Joana Barbosa, et al.. (2016). Genetic relationship between the Nordestino horse and national and international horse breeds. Genetics and Molecular Research. 15(2). 4 indexed citations
7.
Oliveira, D.A.A., et al.. (2012). DNA MICROSATELLITES FOR GENETIC IDENTIFICATION IN BRAZILIAN MURRAH WATER BUFFALOES. Acta Veterinaria Brno. 5(4). 364–367. 3 indexed citations
8.
Vieira, Jorge, et al.. (2012). PCR as technique for molecular sexing in birds.. Revista Brasileira de Reprodução Animal. 36(3). 199–201. 1 indexed citations
9.
Drummond, Marcela Gonçalves, et al.. (2012). A versatile real-time PCR method to quantify bovine contamination in buffalo products. Food Control. 29(1). 131–137. 46 indexed citations
10.
Carvalho, Daniel C., et al.. (2011). DNA barcoding unveils a high rate of mislabeling in a commercial freshwater catfish from Brazil. Mitochondrial DNA. 22(sup1). 97–105. 84 indexed citations
11.
Carvalho, Daniel C., D.A.A. Oliveira, Paulo dos Santos Pompeu, et al.. (2011). Deep barcode divergence in Brazilian freshwater fishes: the case of the São Francisco River basin. Mitochondrial DNA. 22(sup1). 80–86. 109 indexed citations
12.
Oliveira, D.A.A., et al.. (2011). Bubalinocultura no Brasil - Short comunication. PubVet. 5(2). 2 indexed citations
13.
Rajão, Daniela S., et al.. (2010). Study of bovine leukemia virus infection in water buffalos (Bubalus bubalis) in the State of Minas Gerais.. Brazilian Journal of Veterinary Medicine/Revista Brasileira de Medicina Veterinária. 32(1). 42–45. 1 indexed citations
14.
Turra, Eduardo Maldonado, et al.. (2010). Reproduction control in Nile tilapia (Oreochromis niloticus) by sexual and chromosome set manipulation.. Revista Brasileira de Reprodução Animal. 34(1). 21–28. 2 indexed citations
15.
Turra, Eduardo Maldonado, et al.. (2010). The use of morfometric measurements for the genetic improvement of the Nile tilapia fillet yield.. Revista Brasileira de Reprodução Animal. 34(1). 29–36. 6 indexed citations
16.
Rajão, Daniela S., et al.. (2010). ESTUDO DA INFECÇÃO PELO VÍRUS DA LEUCOSE BOVINA EM BUBALINOS (Bubalus bubalis) NO ESTADO DE MINAS GERAIS. SHILAP Revista de lepidopterología. 32(1). 42–45. 1 indexed citations
17.
Carvalho, Daniel C., D.A.A. Oliveira, Iracilda Sampaio, & Luciano B. Beheregaray. (2009). Microsatellite markers for the Amazon peacock bass (Cichla piquiti). Molecular Ecology Resources. 9(1). 239–241. 6 indexed citations
18.
Oliveira, D.A.A., et al.. (2009). Sexagem molecular em aves silvestres. Revista Brasileira de Reprodução Animal. 33(2). 66–70. 3 indexed citations
19.
Paíxão, Tatiane A., et al.. (2005). Frequency of bovine Nramp1 (Slc11a1) alleles in Holstein and Zebu breeds. Veterinary Immunology and Immunopathology. 109(1-2). 37–42. 38 indexed citations
20.
Oliveira, D.A.A., et al.. (2004). A 4/21 Tandem Fusion in Cattle. Hereditas. 122(2). 99–102. 5 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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