A. S. Mariante

622 total citations
25 papers, 465 citations indexed

About

A. S. Mariante is a scholar working on Genetics, Animal Science and Zoology and Agronomy and Crop Science. According to data from OpenAlex, A. S. Mariante has authored 25 papers receiving a total of 465 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Genetics, 6 papers in Animal Science and Zoology and 3 papers in Agronomy and Crop Science. Recurrent topics in A. S. Mariante's work include Genetic and phenotypic traits in livestock (16 papers), Genetic diversity and population structure (8 papers) and Genetic Mapping and Diversity in Plants and Animals (8 papers). A. S. Mariante is often cited by papers focused on Genetic and phenotypic traits in livestock (16 papers), Genetic diversity and population structure (8 papers) and Genetic Mapping and Diversity in Plants and Animals (8 papers). A. S. Mariante collaborates with scholars based in Brazil, Sudan and United States. A. S. Mariante's co-authors include C. McManus, A. A. do Egito, Samuel Rezende Paiva, Hélder Louvandini, Giane Regina Paludo, Eliandra Bianchini, Dário Grattapaglia, Maria do Socorro Maués Albuquerque, Alexandre Floriani Ramos and Carla Anjos Souza and has published in prestigious journals such as Scientific Reports, Journal of Animal Science and Small Ruminant Research.

In The Last Decade

A. S. Mariante

25 papers receiving 440 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
A. S. Mariante Brazil	13	321	168	130	49	38	25	465
Sônia Maria Pinheiro de Oliveira Brazil	10	275 0.9×	180 1.1×	134 1.0×	52 1.1×	16 0.4×	27	427
Sornthep Tumwasorn Thailand	10	205 0.6×	174 1.0×	156 1.2×	81 1.7×	26 0.7×	32	339
A. da S. Mariante Brazil	15	482 1.5×	200 1.2×	217 1.7×	60 1.2×	64 1.7×	49	692
András Gáspárdy Hungary	12	173 0.5×	157 0.9×	190 1.5×	66 1.3×	29 0.8×	52	427
A.K. Thiruvenkadan India	14	394 1.2×	267 1.6×	256 2.0×	66 1.3×	52 1.4×	84	650
Jennifer M Bormann United States	14	418 1.3×	220 1.3×	323 2.5×	68 1.4×	29 0.8×	41	586
Sarah Laguna Conceição Meirelles Brazil	14	356 1.1×	156 0.9×	112 0.9×	39 0.8×	76 2.0×	41	538
M. Łukaszewicz Poland	13	312 1.0×	276 1.6×	180 1.4×	85 1.7×	35 0.9×	57	535
Scott E Speidel United States	12	278 0.9×	155 0.9×	169 1.3×	73 1.5×	12 0.3×	65	378
L. L. L. Prince India	14	451 1.4×	262 1.6×	279 2.1×	66 1.3×	24 0.6×	91	619

Countries citing papers authored by A. S. Mariante

Since Specialization

Citations

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

Fields of papers citing papers by A. S. Mariante

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. S. Mariante

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

All Works

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20 of 20 papers shown

Paim, Tiago do Prado, Danielle Assis de Faria, El Hamidi Hay, et al.. (2019). New world goat populations are a genetically diverse reservoir for future use. Scientific Reports. 9(1). 1476–1476. 22 indexed citations

Mariante, A. S., et al.. (2018). Biometric evaluation of Brazilian Crioula Lageana cattle. Archivos de Zootecnia. 67(260). 604–608. 2 indexed citations

Mariante, A. S., et al.. (2018). Population structure of the Brazilian Crioula Lageana cattle (Bos taurus) breed. Revista Colombiana de Ciencias Pecuarias. 31(2). 93–102. 10 indexed citations

Santos, Guilherme, et al.. (2016). Superovulatory and embryo yielding in sheep using increased exposure time to progesterone associated with a GnRH agonist. Small Ruminant Research. 136. 54–58. 15 indexed citations

Malmfors, Birgitta, Kjell Arne Johansson, Morris Agaba, et al.. (2013). Cattle Breeds: Extinction or Quasi-Extant?. Resources. 2(3). 335–357. 13 indexed citations

Paiva, Samuel Rezende, A. A. do Egito, Sílvia Castro, et al.. (2012). Genetic variability in local Brazilian horse lines using microsatellite markers. Genetics and Molecular Research. 11(2). 881–890. 21 indexed citations

Mariante, A. S., et al.. (2011). Criopreservação de recursos genéticos animais brasileiros.. Americanae (AECID Library). 35(2). 64–68. 11 indexed citations

Ramos, Alexandre Floriani, et al.. (2011). Banco Brasileiro de Germoplasma Animal: desafios e perspectivas da conservação de caprinos no Brasil. Americanae (AECID Library). 35(2). 104–107. 2 indexed citations

Mariante, A. S., et al.. (2011). Criopreservação de recursos genéticos animais brasileiros Cryopreservation of Brazilian animal genetic resources. 2 indexed citations

10.

Souza, Carla Anjos, Samuel Rezende Paiva, Rinaldo Wellerson Pereira, et al.. (2009). Iberian origin of Brazilian local pig breeds based on Cytochrome b (MT‐CYB) sequence. Animal Genetics. 40(5). 759–762. 13 indexed citations

11.

Egito, A. A. do, et al.. (2007). Microsatellite based genetic diversity and relationships among ten Creole and commercial cattle breeds raised in Brazil. BMC Genetics. 8(1). 83–83. 89 indexed citations

12.

Egito, A. A. do, et al.. (2005). Rapd markers utilization on the formation ormaintenance of conservation nuclei oflivestock species. Archivos de Zootecnia. 54(206). 277–281. 4 indexed citations

13.

Egito, A. A. do, Sílvia Castro, Samuel Rezende Paiva, et al.. (2005). SITUAÇÃO ATUAL DO BANCO DE DNA DE RECURSOS GENÉTICOS ANIMAIS NO BRASIL. Archivos de Zootecnia. 54(206). 283–288. 2 indexed citations

14.

McManus, C., et al.. (2005). Aspectos de produção de um rebanho da raçaMocho nacional. Archivos de Zootecnia. 54(206). 459–464. 2 indexed citations

15.

McManus, C., Giane Regina Paludo, Hélder Louvandini, et al.. (2005). Heat tolerance in naturalised cattle in Brazil: physical factors. Archivos de Zootecnia. 54(206). 453–458. 18 indexed citations

16.

Egito, A. A. do, et al.. (2002). Programa Brasileiro de Conservação de Recursos Genéticos Animais.. Archivos de Zootecnia. 51(193). 7. 36 indexed citations

17.

McManus, C., et al.. (2002). Variance analyses for biometric measures of the Pantaneiro horse in Brazil. Archivos de Zootecnia. 51(194). 113–120. 5 indexed citations

18.

Silva, José A.C., J. R. B. Sereno, C. McManus, et al.. (2002). Heritability estimates for biometric measures of the Pantaneiro horse. Archivos de Zootecnia. 51(193). 12. 13 indexed citations

19.

Santos, Sandra Aparecida, C. McManus, A. S. Mariante, et al.. (2001). A review of conservation and management of the Pantaneiro horse in the Brazilian Pantanal. Animal Genetic Resources Information. 31. 75–86. 3 indexed citations

20.

Sereno, J. R. B., et al.. (1992). Conservation of Pantaneiro cattle in Brazil: Historical origin. Archivos de Zootecnia. 41(154). 15. 4 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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