Brad McNeney

1.6k total citations
32 papers, 1.1k citations indexed

About

Brad McNeney is a scholar working on Genetics, Molecular Biology and Statistics and Probability. According to data from OpenAlex, Brad McNeney has authored 32 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Genetics, 13 papers in Molecular Biology and 7 papers in Statistics and Probability. Recurrent topics in Brad McNeney's work include Genetic Associations and Epidemiology (14 papers), Genetic Mapping and Diversity in Plants and Animals (8 papers) and Genetic and phenotypic traits in livestock (5 papers). Brad McNeney is often cited by papers focused on Genetic Associations and Epidemiology (14 papers), Genetic Mapping and Diversity in Plants and Animals (8 papers) and Genetic and phenotypic traits in livestock (5 papers). Brad McNeney collaborates with scholars based in Canada, United States and Sweden. Brad McNeney's co-authors include Jinko Graham, Ji‐Hyung Shin, Richard A. Deyo, Kelly M. Burkett, Alex D. Malter, John D. Loeser, Jon A. Wellner, Norman E. Breslow, David Zamar and Åke Lernmark and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and Spine.

In The Last Decade

Brad McNeney

29 papers receiving 1.1k citations

Peers

Brad McNeney

GENET

PFM

SURGE

Jinko Graham Canada

Ana I. Vázquez United States

Chris C. A. Spencer United Kingdom

Krystyna A. Kelly United Kingdom

Anis Karimpour‐Fard United States

Claudia Pommerenke Germany

Stephen Reid Germany

Ting Qi China

Adriaan van der Graaf Netherlands

David Ellinghaus Germany

Jinko Graham Canada

Brad McNeney

797 ×1.9

GENET

331 ×1.0

28 ×0.1

PFM

321 ×1.5

304 ×1.5

SURGE

Citations per year, relative to Brad McNeney Brad McNeney (= 1×) peers Jinko Graham

Countries citing papers authored by Brad McNeney

Since Specialization

Citations

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

Fields of papers citing papers by Brad McNeney

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brad McNeney

This figure shows the co-authorship network connecting the top 25 collaborators of Brad McNeney. A scholar is included among the top collaborators of Brad McNeney 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 Brad McNeney. Brad McNeney 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

Yu, Ying, et al.. (2022). Penalized Logistic Regression Analysis for Genetic Association Studies of Binary Phenotypes. Human Heredity. 87(3-4). 69–86.

McNeney, Brad, et al.. (2021). Re-analysis of a Genome-Wide Gene-By-Environment Interaction Study of Case Parent Trios, Adjusted for Population Stratification. Frontiers in Genetics. 11. 600232–600232.

Burkett, Kelly M., Brad McNeney, Jinko Graham, & Celia M.T. Greenwood. (2014). Using Gene Genealogies to Detect Rare Variants Associated with Complex Traits. Human Heredity. 78(3-4). 117–130. 3 indexed citations

Burkett, Kelly M., Celia M.T. Greenwood, Brad McNeney, & Jinko Graham. (2013). Gene genealogies for genetic association mapping, with application to Crohn's disease. Frontiers in Genetics. 4. 260–260. 3 indexed citations

Graham, Jinko, et al.. (2013). CrypticIBDcheck: an R package for checking cryptic relatedness in nominally unrelated individuals. PubMed. 8(1). 5–5. 5 indexed citations

Shin, Ji‐Hyung, Claire Infante‐Rivard, Jinko Graham, & Brad McNeney. (2012). Adjusting for Spurious Gene-by-Environment Interaction Using Case-Parent Triads. Statistical Applications in Genetics and Molecular Biology. 11(2). 2 indexed citations

Saferali, Aabida, Elin Grundberg, Soizik Berlivet, et al.. (2010). Cell culture-induced aberrant methylation of the imprinted IG DMR in human lymphoblastoid cell lines. Epigenetics. 5(1). 50–60. 24 indexed citations

Shin, Ji‐Hyung, Brad McNeney, & Jinko Graham. (2010). On the Use of Allelic Transmission Rates for Assessing Gene‐by‐Environment Interaction in Case‐Parent Trios. Annals of Human Genetics. 74(5). 439–451. 1 indexed citations

Janer, Marta, Brad McNeney, Kerry Deutsch, et al.. (2007). IA-2 autoantibodies in incident type I diabetes patients are associated with a polyadenylation signal polymorphism in GIMAP5. Genes and Immunity. 8(6). 503–512. 33 indexed citations

10.

Shin, Ji‐Hyung, Brad McNeney, & Jinko Graham. (2007). Case-Control Inference of Interaction between Genetic and Nongenetic Risk Factors under Assumptions on Their Distribution. Statistical Applications in Genetics and Molecular Biology. 6(1). Article13–Article13. 4 indexed citations

11.

Janer, Marta, Jinko Graham, Brad McNeney, et al.. (2007). Glutamate Cysteine Ligase Catalytic Subunit Promoter Polymorphisms and Associations with Type 1 Diabetes Age-at-onset and GAD65 Autoantibody Levels. Experimental and Clinical Endocrinology & Diabetes. 115(4). 221–228. 20 indexed citations

12.

Zamar, David, Brad McNeney, & Jinko Graham. (2007). elrm: Software Implementing Exact-like Inference for Logistic Regression Models. Journal of Statistical Software. 21(3). 47 indexed citations

13.

Burkett, Kelly M., Jinko Graham, & Brad McNeney. (2006). hapassoc: Software for Likelihood Inference of Trait Associations with SNP Haplotypes and Other Attributes. SHILAP Revista de lepidopterología. 2 indexed citations

14.

Burkett, Kelly M., Jinko Graham, & Brad McNeney. (2006). hapassoc: Software for Likelihood Inference of Trait Associations with SNP Haplotypes and Other Attributes. Journal of Statistical Software. 16(2). 104 indexed citations

15.

Burkett, Kelly M., Mercedeh Ghadessi, Brad McNeney, Jinko Graham, & Denise Daley. (2005). A comparison of five methods for selecting tagging single-nucleotide polymorphisms. BMC Genetics. 6(S1). S71–S71. 11 indexed citations

16.

Valdes, Ana M., G. Thomson, Jinko Graham, et al.. (2005). D6S265*15 marks a DRB1*15, DQB1*0602 haplotype associated with attenuated protection from type 1 diabetes mellitus. Diabetologia. 48(12). 2540–2543. 17 indexed citations

17.

Graham, Jinko, Brad McNeney, & Françoise Seillier‐Moiseiwitsch. (2004). Stepwise detection of recombination breakpoints in sequence alignments. Bioinformatics. 21(5). 589–595. 13 indexed citations

18.

Taylor, Victoria M., Richard A. Deyo, Marcia A. Ciol, et al.. (2000). Patient-Oriented Outcomes From Low Back Surgery. Spine. 25(19). 2445–2452. 31 indexed citations

19.

Malter, Alex D., Brad McNeney, John D. Loeser, & Richard A. Deyo. (1998). 5-Year Reoperation Rates After Different Types of Lumbar Spine Surgery. Spine. 23(7). 814–820. 192 indexed citations

20.

Goddard, Katrina A.B., Gail P. Jarvik, Jinko Graham, et al.. (1995). Analysis of quantitative risk factors for a common oligogenic disease. Genetic Epidemiology. 12(6). 759–764. 7 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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