B. Pérez

978 total citations
21 papers, 620 citations indexed

About

B. Pérez is a scholar working on Molecular Biology, Small Animals and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, B. Pérez has authored 21 papers receiving a total of 620 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 12 papers in Small Animals and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in B. Pérez's work include Brucella: diagnosis, epidemiology, treatment (12 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Escherichia coli research studies (5 papers). B. Pérez is often cited by papers focused on Brucella: diagnosis, epidemiology, treatment (12 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Escherichia coli research studies (5 papers). B. Pérez collaborates with scholars based in Canada, United States and Argentina. B. Pérez's co-authors include K. Nielsen, Mónica Báñez-Coronel, Laura P.W. Ranum, Tao Zu, Fatma Ayhan, Anthony T. Yachnis, Juan C. Troncoso, D. Gall, Christopher A. Ross and Alex D. Tarabochia and has published in prestigious journals such as Neuron, SHILAP Revista de lepidopterología and The EMBO Journal.

In The Last Decade

B. Pérez

21 papers receiving 600 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. Pérez Canada 13 338 242 207 102 98 21 620
Aime K. Johnson United States 14 393 1.2× 43 0.2× 38 0.2× 11 0.1× 99 1.0× 47 696
RD Jolly New Zealand 16 264 0.8× 64 0.3× 57 0.3× 4 0.0× 106 1.1× 49 754
Sem Genini United States 14 426 1.3× 78 0.3× 22 0.1× 20 0.2× 29 0.3× 30 777
Élodie Petit France 8 88 0.3× 87 0.4× 44 0.2× 11 0.1× 20 0.2× 16 199
Mary S. Pampusch United States 21 453 1.3× 130 0.5× 19 0.1× 16 0.2× 23 0.2× 39 899
Justin J. Greenlee United States 26 1.4k 4.1× 25 0.1× 52 0.3× 13 0.1× 19 0.2× 96 1.6k
Barbara Gandolfi United States 18 306 0.9× 30 0.1× 67 0.3× 6 0.1× 30 0.3× 39 759
T Yamashita Japan 14 120 0.4× 184 0.8× 37 0.2× 16 0.2× 37 0.4× 47 566
Mary M. Patterson United States 13 110 0.3× 46 0.2× 57 0.3× 20 0.2× 48 0.5× 25 488
G. P. de Oliveira Brazil 13 122 0.4× 64 0.3× 91 0.4× 2 0.0× 67 0.7× 28 516

Countries citing papers authored by B. Pérez

Since Specialization
Citations

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

Fields of papers citing papers by B. Pérez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of B. Pérez

This figure shows the co-authorship network connecting the top 25 collaborators of B. Pérez. A scholar is included among the top collaborators of B. Pérez 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. Pérez. B. Pérez 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.
Pérez, B., Hannah K. Shorrock, Mónica Báñez-Coronel, et al.. (2021). CCG•CGG interruptions in high‐penetrance SCA8 families increase RAN translation and protein toxicity. EMBO Molecular Medicine. 13(11). e14095–e14095. 16 indexed citations
2.
Ayhan, Fatma, B. Pérez, Hannah K. Shorrock, et al.. (2018). SCA 8 RAN polySer protein preferentially accumulates in white matter regions and is regulated by eIF 3F. The EMBO Journal. 37(19). 47 indexed citations
3.
Leyva, Alberto, et al.. (2017). An ELISA for quantification of recombinant human EGF in production process samples, serum and urine. Biologicals. 51. 12–17. 1 indexed citations
4.
Báñez-Coronel, Mónica, Fatma Ayhan, Alex D. Tarabochia, et al.. (2015). RAN Translation in Huntington Disease. Neuron. 88(4). 667–677. 238 indexed citations
5.
Zhang, Yan, et al.. (2013). p∆TubHA4C, a new versatile vector for constitutive expression in Drosophila. Molecular Biology Reports. 40(9). 5407–5415. 6 indexed citations
6.
Leyva, Alberto, et al.. (2011). Development, validation and application of a new ELISA for process control of the production of recombinant Hepatitis B surface antigen. SHILAP Revista de lepidopterología. 1 indexed citations
7.
Leyva, Alberto, et al.. (2011). Desarrollo, validación y aplicación de un nuevo ELISA para el control del proceso del antígeno de superficie el virus de la hepatitis B recombinante. Biotecnología aplicada. 28(4). 228–234. 1 indexed citations
8.
Leyva, Alberto, et al.. (2011). Novel and sensitive ELISA for the rapid quantification of recombinant p64K protein. Journal of Pharmaceutical and Biomedical Analysis. 55(3). 403–408. 3 indexed citations
9.
Nielsen, K., Phillip D. Smith, Yu Wang, et al.. (2008). Validation of a second generation competitive enzyme immunoassay (CELISA) for the diagnosis of brucellosis in various species of domestic animals. Veterinary Immunology and Immunopathology. 125(3-4). 246–250. 18 indexed citations
10.
Nielsen, K., et al.. (2007). Second generation competitive enzyme immunoassay for detection of bovine antibody to Brucella abortus. Veterinary Microbiology. 124(1-2). 173–177. 19 indexed citations
11.
Nielsen, Klaus, Phillip D. Smith, Yu Wang, et al.. (2007). Detection of Ovine Antibody toBrucella ovisby Indirect Enzyme Immunoassay. Journal of Immunoassay and Immunochemistry. 28(3). 243–250. 4 indexed citations
12.
Nielsen, K., Phillip D. Smith, D. Gall, et al.. (2004). Rough Lipopolysaccharide ofBrucella abortusRB51 as a Common Antigen for Serological Detection ofB. ovis,B. canis, andB. abortusRB51 Exposure Using Indirect Enzyme Immunoassay and Fluorescence Polarization Assay. Journal of Immunoassay and Immunochemistry. 25(2). 171–182. 14 indexed citations
13.
14.
Gall, D., et al.. (2003). Evaluation of an indirect enzyme-linked immunoassay for presumptive serodiagnosis of Brucella ovis in sheep. Small Ruminant Research. 48(3). 173–179. 16 indexed citations
15.
Nielsen, K., Phillip D. Smith, D. Gall, et al.. (2001). VALIDATION OF THE FLUORESCENCE POLARIZATION ASSAY FOR DETECTION OF MILK ANTIBODY TOBRUCELLA ABORTUS. Journal of Immunoassay and Immunochemistry. 22(3). 203–211. 15 indexed citations
16.
Nielsen, K., D. Gall, Phillip D. Smith, et al.. (1999). Validation of the fluorescence polarization assay as a serological test for the presumptive diagnosis of porcine brucellosis. Veterinary Microbiology. 68(3-4). 245–253. 38 indexed citations
17.
Nielsen, K., D. Gall, Min Lin, et al.. (1998). Diagnosis of bovine brucellosis using a homogeneous fluorescence polarization assay. Veterinary Immunology and Immunopathology. 66(3-4). 321–329. 26 indexed citations
18.
Pérez, B., et al.. (1998). Field trial of brucellosis competitive ELISA. 3 indexed citations
19.
Gall, D., Axel Colling, Edgardo Moreno, et al.. (1998). Enzyme Immunoassays for Serological Diagnosis of Bovine Brucellosis: A Trial in Latin America. Clinical and Diagnostic Laboratory Immunology. 5(5). 654–661. 29 indexed citations
20.
Nielsen, K., Phillip D. Smith, D. Gall, et al.. (1996). Development and validation of an indirect enzyme immunoassay for detection of antibody to Brucella abortus in milk. Veterinary Microbiology. 52(1-2). 165–173. 36 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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