Juliet Chapman

965 total citations
10 papers, 766 citations indexed

About

Juliet Chapman is a scholar working on Genetics, Epidemiology and Surgery. According to data from OpenAlex, Juliet Chapman has authored 10 papers receiving a total of 766 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Genetics, 2 papers in Epidemiology and 1 paper in Surgery. Recurrent topics in Juliet Chapman's work include Genetic Associations and Epidemiology (6 papers), Genetic Mapping and Diversity in Plants and Animals (6 papers) and Genetic and phenotypic traits in livestock (5 papers). Juliet Chapman is often cited by papers focused on Genetic Associations and Epidemiology (6 papers), Genetic Mapping and Diversity in Plants and Animals (6 papers) and Genetic and phenotypic traits in livestock (5 papers). Juliet Chapman collaborates with scholars based in United Kingdom, Netherlands and Ireland. Juliet Chapman's co-authors include David Clayton, John A. Todd, Jason D. Cooper, Jason D. Cooper, John C. Whittaker, Chris Wallace, Rebecca C.J. Twells, David P. Strachan, Rebecca Pask and Wendy L. McArdle and has published in prestigious journals such as The American Journal of Human Genetics, Genes and Immunity and Genetic Epidemiology.

In The Last Decade

Juliet Chapman

10 papers receiving 759 citations

Peers

Juliet Chapman

GENET

MB

IMMUN

EPIDE

SURGE

Robert C. Elston United States

John Blangero United States

Helen Rance United Kingdom

Karen Lewis United Kingdom

Raili Ermel Estonia

Cassandra E. Murcray United States

Eugene Drigalenko United States

Ninon Mounier Switzerland

Vlad Makarov United States

José Jorge Galán Spain

Robert C. Elston United States

Juliet Chapman

554 ×0.9

GENET

191 ×0.7

MB

24 ×0.3

IMMUN

32 ×0.5

EPIDE

27 ×0.7

SURGE

Citations per year, relative to Juliet Chapman Juliet Chapman (= 1×) peers Robert C. Elston

Countries citing papers authored by Juliet Chapman

Since Specialization

Citations

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

Fields of papers citing papers by Juliet Chapman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juliet Chapman

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

1.

Chapman, Juliet, Clive M. Onnie, Natalie J. Prescott, et al.. (2009). Searching for Genotype-Phenotype Structure: Using Hierarchical Log-Linear Models in Crohn Disease. The American Journal of Human Genetics. 84(2). 178–187. 6 indexed citations

2.

Chapman, Juliet & John C. Whittaker. (2008). Analysis of multiple SNPs in a candidate gene or region. Genetic Epidemiology. 32(6). 560–566. 79 indexed citations

3.

Verzilli, Claudio, Tina Shah, Juan P. Casas, et al.. (2008). Bayesian Meta-Analysis of Genetic Association Studies with Different Sets of Markers. The American Journal of Human Genetics. 82(4). 859–872. 44 indexed citations

4.

Chapman, Juliet & David Clayton. (2007). Detecting association using epistatic information. Genetic Epidemiology. 31(8). 894–909. 35 indexed citations

5.

Chapman, Juliet & David Clayton. (2007). One degree of freedom for dominance in indirect association studies. Genetic Epidemiology. 31(3). 261–271. 6 indexed citations

6.

Wallace, Chris, Juliet Chapman, & David Clayton. (2006). Improved Power Offered by a Score Test for Linkage Disequilibrium Mapping of Quantitative-Trait Loci by Selective Genotyping. The American Journal of Human Genetics. 78(3). 498–504. 36 indexed citations

7.

Maier, Lisa M., Juliet Chapman, Joanna M. M. Howson, et al.. (2005). No Evidence of Association or Interaction between the IL4RA, IL4, and IL13 Genes in Type 1 Diabetes. The American Journal of Human Genetics. 76(3). 517–521. 38 indexed citations

8.

Clayton, David, Juliet Chapman, & Jason D. Cooper. (2004). Use of unphased multilocus genotype data in indirect association studies. Genetic Epidemiology. 27(4). 415–428. 159 indexed citations

9.

Lowe, Christopher, Jonathan D. Cooper, Juliet Chapman, et al.. (2004). Cost-effective analysis of candidate genes using htSNPs: a staged approach. Genes and Immunity. 5(4). 301–305. 40 indexed citations

10.

Chapman, Juliet, Jason D. Cooper, John A. Todd, & David Clayton. (2003). Detecting Disease Associations due to Linkage Disequilibrium Using Haplotype Tags: A Class of Tests and the Determinants of Statistical Power. Human Heredity. 56(1-3). 18–31. 323 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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