B.C. Perez

637 total citations
30 papers, 383 citations indexed

About

B.C. Perez is a scholar working on Genetics, Oceanography and Agronomy and Crop Science. According to data from OpenAlex, B.C. Perez has authored 30 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Genetics, 9 papers in Oceanography and 5 papers in Agronomy and Crop Science. Recurrent topics in B.C. Perez's work include Genetic and phenotypic traits in livestock (14 papers), Genetic Mapping and Diversity in Plants and Animals (10 papers) and Oceanographic and Atmospheric Processes (7 papers). B.C. Perez is often cited by papers focused on Genetic and phenotypic traits in livestock (14 papers), Genetic Mapping and Diversity in Plants and Animals (10 papers) and Oceanographic and Atmospheric Processes (7 papers). B.C. Perez collaborates with scholars based in Brazil, Spain and Canada. B.C. Perez's co-authors include Damià Gomis, Michael Tsimplis, Luciana Fenoglio-Marc, Júlio César de Carvalho Balieiro, Ricardo Vieira Ventura, Maria Gabriela Campolina Diniz Peixoto, Enrique Álvarez Fanjul, Marta Marcos, José Bento Sterman Ferraz and Philip Woodworth and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and Geophysical Research Letters.

In The Last Decade

B.C. Perez

29 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
B.C. Perez Brazil 12 171 129 81 69 57 30 383
Ayman A. Hassan Egypt 8 142 0.8× 13 0.1× 50 0.6× 20 0.3× 59 1.0× 19 276
Jonathan L. Case United States 17 28 0.2× 21 0.2× 459 5.7× 500 7.2× 8 0.1× 71 675
Susan Bush United States 8 51 0.3× 22 0.2× 34 0.4× 55 0.8× 6 0.1× 37 357
S. Subandriyo Indonesia 10 5 0.0× 224 1.7× 15 0.2× 33 0.5× 100 1.8× 44 554
Katya Georgieva Bulgaria 13 64 0.4× 8 0.1× 97 1.2× 153 2.2× 48 593
J. Z. Reed United Kingdom 10 77 0.5× 191 1.5× 47 0.6× 57 0.8× 3 0.1× 10 727
Ruiping Ma China 11 34 0.2× 8 0.1× 17 0.2× 77 1.1× 8 0.1× 29 430
Meredith Greer United States 8 135 0.8× 17 0.1× 32 0.4× 23 0.3× 3 0.1× 16 455
Changgui Wang United Kingdom 10 50 0.3× 16 0.1× 173 2.1× 179 2.6× 5 0.1× 11 324
Biyan Chen China 13 162 0.9× 15 0.1× 98 1.2× 100 1.4× 50 519

Countries citing papers authored by B.C. Perez

Since Specialization
Citations

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

Fields of papers citing papers by B.C. Perez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by B.C. Perez. 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 B.C. Perez. The network helps show where B.C. Perez may publish in the future.

Co-authorship network of co-authors of B.C. Perez

This figure shows the co-authorship network connecting the top 25 collaborators of B.C. Perez. A scholar is included among the top collaborators of B.C. Perez 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 B.C. Perez. B.C. Perez 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.
Begna, Sultan, et al.. (2025). Impact of novel harvest strategies and improved cultivars on alfalfa yield and nutritive value in a Mediterranean environment. SHILAP Revista de lepidopterología. 4(1). 79–87.
2.
Perez, B.C., M.C.A.M. Bink, Karen L. Svenson, Gary A. Churchill, & M.P.L. Calus. (2022). Prediction performance of linear models and gradient boosting machine on complex phenotypes in outbred mice. G3 Genes Genomes Genetics. 12(4). 14 indexed citations
3.
Perez, B.C., M.C.A.M. Bink, Karen L. Svenson, Gary A. Churchill, & M.P.L. Calus. (2022). Adding gene transcripts into genomic prediction improves accuracy and reveals sampling time dependence. G3 Genes Genomes Genetics. 12(11). 7 indexed citations
4.
Perez, B.C., Guilherme Luís Pereira, Luis Artur Loyola Chardulo, et al.. (2019). Allelic and genotypic frequencies of the DMRT3 gene in the Brazilian horse breed Mangalarga Marchador and their association with types of gait. Genetics and Molecular Research. 18(1). 3 indexed citations
5.
Santos, Daniel Jordan de Abreu, Aline Silva Mello César, Solomon Antwi Boison, et al.. (2019). Fine mapping of genomic regions associated with female fertility in Nellore beef cattle based on sequence variants from segregating sires. Journal of Animal Science and Biotechnology. 10(1). 97–97. 7 indexed citations
6.
SANTANA, MARIA LUIZA ALVES, Rodrigo Junqueira Pereira, Annaíza Braga Bignardi, et al.. (2019). Dual‐purpose Guzerá cattle exhibit high dairy performance under heat stress. Journal of Animal Breeding and Genetics. 137(5). 486–494. 9 indexed citations
7.
8.
Perez, B.C., et al.. (2018). Pedigree analysis and inbreeding effects over morphological traits in Campolina horse population. animal. 12(11). 2246–2255. 21 indexed citations
9.
Perez, B.C., Júlio César de Carvalho Balieiro, Roberto Carvalheiro, et al.. (2018). Accounting for population structure in selective cow genotyping strategies. Journal of Animal Breeding and Genetics. 136(1). 23–39. 7 indexed citations
10.
Perez, B.C., et al.. (2017). Count Bayesian models for genetic analysis of in vitro embryo production traits in Guzerá cattle. animal. 11(9). 1440–1448. 6 indexed citations
11.
Grigoletto, Laís, B.C. Perez, Miguel Henrique de Almeida Santana, Fernando Baldi, & José Bento Sterman Ferraz. (2017). Genetic contribution of cytoplasmic lineage effect on feed efficiency in Nellore cattle. Livestock Science. 198. 52–57. 9 indexed citations
12.
Perez, B.C., et al.. (2017). Inbreeding effects on in vitro embryo production traits in Guzerá cattle. animal. 11(11). 1983–1990. 10 indexed citations
13.
Perez, B.C., et al.. (2016). Genetic analysis of oocyte and embryo production traits in Guzerá breed donors and their associations with age at first calving. Genetics and Molecular Research. 15(2). 16 indexed citations
14.
Poleti, Mirele, et al.. (2016). Mudanças proteolíticas em músculo de bovinos Nelore durante o processo de maturação. 1 indexed citations
15.
Perez, B.C., Mauricio González, Luís Otero, et al.. (2014). Tsunami Resonance in Palma Bay and Harbor, Majorca Island, as Induced by the 2003 Western Mediterranean Earthquake. The Journal of Geology. 122(2). 165–182. 14 indexed citations
16.
Perez, B.C., et al.. (2013). Use of tide gauge data in operational oceanography and sea level hazard warning systems. Journal of Operational Oceanography. 6(2). 1–18. 25 indexed citations
17.
Perez, B.C., R. Brouwer, Joost Beckers, et al.. (2012). ENSURF: multi-model sea level forecast – implementation and validation results for the IBIROOS and Western Mediterranean regions. Ocean science. 8(2). 211–226. 11 indexed citations
18.
Tsimplis, Michael, et al.. (2005). Mediterranean Sea level trends: Atmospheric pressure and wind contribution. Geophysical Research Letters. 32(20). 74 indexed citations
19.
Andrés, María Amparo Núñez, José Martín Dávila, Jorge Gárate, et al.. (2004). JASON-1 calibration campaign at the Ibiza island area. 2. 1071–1073. 1 indexed citations
20.
Aggoun, Abderrahmane, et al.. (1989). SEPIA - An Extendible Prolog System.. IFIP Congress. 1127–1132. 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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