A. N. Rosa

507 total citations
10 papers, 203 citations indexed

About

A. N. Rosa is a scholar working on Genetics, Animal Science and Zoology and Molecular Biology. According to data from OpenAlex, A. N. Rosa has authored 10 papers receiving a total of 203 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Genetics, 6 papers in Animal Science and Zoology and 2 papers in Molecular Biology. Recurrent topics in A. N. Rosa's work include Genetic and phenotypic traits in livestock (9 papers), Genetic Mapping and Diversity in Plants and Animals (7 papers) and Meat and Animal Product Quality (3 papers). A. N. Rosa is often cited by papers focused on Genetic and phenotypic traits in livestock (9 papers), Genetic Mapping and Diversity in Plants and Animals (7 papers) and Meat and Animal Product Quality (3 papers). A. N. Rosa collaborates with scholars based in Brazil, United States and Belgium. A. N. Rosa's co-authors include R. R. Túllio, M. M. de Alencar, Dante Pazzanese Duarte Lanna, Luciana Correia de Almeida Regitano, Amália Saturnino Chaves, Gérson Barreto Mourão, Aline Silva Mello César, S. R. de Medeiros, G. L. D. Feijó and P. C. Tizioto and has published in prestigious journals such as Journal of Animal Science, Meat Science and Physiological Genomics.

In The Last Decade

A. N. Rosa

10 papers receiving 202 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
A. N. Rosa Brazil	7	174	78	61	45	36	10	203
Brian Karisa Canada	7	188 1.1×	84 1.1×	89 1.5×	43 1.0×	65 1.8×	10	250
Michele Lopes do Nascimento Brazil	6	190 1.1×	72 0.9×	58 1.0×	60 1.3×	58 1.6×	8	244
Diogo Anastácio Garcia Brazil	11	252 1.4×	117 1.5×	81 1.3×	52 1.2×	32 0.9×	25	320
Hossam E. Rushdi Egypt	9	87 0.5×	47 0.6×	41 0.7×	38 0.8×	42 1.2×	24	167
Bianca Ferreira Olivieri Brazil	7	234 1.3×	52 0.7×	58 1.0×	61 1.4×	38 1.1×	13	258
Chae-Kyoung Yoo South Korea	10	189 1.1×	80 1.0×	12 0.2×	65 1.4×	48 1.3×	21	232
Masoumeh Naserkheil South Korea	10	242 1.4×	78 1.0×	51 0.8×	83 1.8×	28 0.8×	19	282
Madhu Sudan Tantia India	7	181 1.0×	36 0.5×	58 1.0×	17 0.4×	47 1.3×	10	219
Xiaopeng Wang China	10	261 1.5×	50 0.6×	41 0.7×	83 1.8×	36 1.0×	18	315
Y. D. Zhang Australia	4	349 2.0×	62 0.8×	123 2.0×	103 2.3×	30 0.8×	4	366

Countries citing papers authored by A. N. Rosa

Since Specialization

Citations

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

Fields of papers citing papers by A. N. Rosa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. N. Rosa

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

All Works

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10 of 10 papers shown

Chaves, Amália Saturnino, Aline Silva Mello César, R. R. Túllio, et al.. (2016). Feed efficiency indexes and their relationships with carcass, non-carcass and meat quality traits in Nellore steers. Meat Science. 116. 78–85. 39 indexed citations

Chaves, Amália Saturnino, et al.. (2015). Relationship of efficiency indices with performance, heart rate, oxygen consumption, blood parameters, and estimated heat production in Nellore steers. Journal of Animal Science. 93(10). 5036–5046. 14 indexed citations

Souza, Júlio César de, et al.. (2015). Eficiência produtiva ao desmame de vacas Nelore criadas no Pantanal. Arquivo Brasileiro de Medicina Veterinária e Zootecnia. 67(4). 1105–1110. 6 indexed citations

César, Aline Silva Mello, Michele Lopes do Nascimento, Amália Saturnino Chaves, et al.. (2014). Identification of genomic regions associated with feed efficiency in Nelore cattle. BMC Genetics. 15(1). 100–100. 68 indexed citations

Sonstegard, Tad S., R. H. Higa, A. N. Rosa, et al.. (2014). A genome‐wide scan for selection signatures in Nellore cattle. Animal Genetics. 45(6). 771–781. 16 indexed citations

Tizioto, Polyana, Gustavo Gasparin, Marcela Maria de Souza, et al.. (2013). Identification of KCNJ11 as a functional candidate gene for bovine meat tenderness. Physiological Genomics. 45(24). 1215–1221. 16 indexed citations

Tizioto, P. C., Sarah Laguna Conceição Meirelles, A. N. Rosa, et al.. (2012). Candidate genes for production traits in Nelore beef cattle. Genetics and Molecular Research. 11(4). 4138–4144. 9 indexed citations

Tizioto, P. C., Sarah Laguna Conceição Meirelles, R. R. Túllio, et al.. (2012). A SNP in ASAP1 gene is associated with meat quality and production traits in Nelore breed. Meat Science. 92(4). 855–857. 31 indexed citations

Valente, B.D., et al.. (2012). Estimativas de componentes de (co)variância para peso e escores visuais de conformação frigorífica em bovinos Nelore. Arquivo Brasileiro de Medicina Veterinária e Zootecnia. 64(2). 443–449. 3 indexed citations

10.

Rosa, A. N., et al.. (2009). Genetic evaluation for large data sets by random regression models in Nellore cattle. Arquivo Brasileiro de Medicina Veterinária e Zootecnia. 61(4). 959–967. 1 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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