Cassandra E. Murcray

917 total citations
7 papers, 531 citations indexed

About

Cassandra E. Murcray is a scholar working on Genetics, Molecular Biology and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Cassandra E. Murcray has authored 7 papers receiving a total of 531 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Genetics, 3 papers in Molecular Biology and 1 paper in Health, Toxicology and Mutagenesis. Recurrent topics in Cassandra E. Murcray's work include Genetic Associations and Epidemiology (7 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers) and Genetic and phenotypic traits in livestock (2 papers). Cassandra E. Murcray is often cited by papers focused on Genetic Associations and Epidemiology (7 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers) and Genetic and phenotypic traits in livestock (2 papers). Cassandra E. Murcray collaborates with scholars based in United States and Taiwan. Cassandra E. Murcray's co-authors include W. James Gauderman, Juan Pablo Lewinger, David V. Conti, Frank D. Gilliland, Dalin Li, Duncan C. Thomas, John L. Morrison, Gang Shi, Corinne D. Engelman and Yen‐Feng Chiu and has published in prestigious journals such as American Journal of Epidemiology and Genetic Epidemiology.

In The Last Decade

Cassandra E. Murcray

7 papers receiving 528 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cassandra E. Murcray United States 6 382 225 34 31 28 7 531
Jung‐Ying Tzeng United States 13 506 1.3× 336 1.5× 27 0.8× 38 1.2× 107 3.8× 52 791
Karen Lewis United Kingdom 5 187 0.5× 167 0.7× 22 0.6× 10 0.3× 8 0.3× 6 447
Rebecca Pask United Kingdom 6 351 0.9× 161 0.7× 32 0.9× 8 0.3× 8 0.3× 6 499
Yeunjoo E. Song United States 12 170 0.4× 142 0.6× 42 1.2× 10 0.3× 7 0.3× 45 529
Laurel A Bastone United States 5 218 0.6× 325 1.4× 28 0.8× 5 0.2× 36 1.3× 6 556
Juliet Chapman United Kingdom 8 605 1.6× 285 1.3× 22 0.6× 29 0.9× 3 0.1× 10 766
Robert C. Elston United States 11 554 1.5× 191 0.8× 57 1.7× 21 0.7× 3 0.1× 15 781
Nahid Turan United States 8 232 0.6× 357 1.6× 18 0.5× 5 0.2× 16 0.6× 22 726
Jacob M. Keaton United States 11 174 0.5× 129 0.6× 34 1.0× 6 0.2× 5 0.2× 23 433
Dandi Qiao United States 13 156 0.4× 160 0.7× 75 2.2× 8 0.3× 8 0.3× 33 477

Countries citing papers authored by Cassandra E. Murcray

Since Specialization
Citations

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

Fields of papers citing papers by Cassandra E. Murcray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cassandra E. Murcray. 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 Cassandra E. Murcray. The network helps show where Cassandra E. Murcray may publish in the future.

Co-authorship network of co-authors of Cassandra E. Murcray

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

All Works

7 of 7 papers shown
1.
Lewinger, Juan Pablo, John L. Morrison, Duncan C. Thomas, et al.. (2013). Efficient Two‐Step Testing of Gene‐Gene Interactions in Genome‐Wide Association Studies. Genetic Epidemiology. 37(5). 440–451. 25 indexed citations
2.
Li, Dalin, Juan Pablo Lewinger, W. James Gauderman, Cassandra E. Murcray, & David V. Conti. (2011). Using extreme phenotype sampling to identify the rare causal variants of quantitative traits in association studies. Genetic Epidemiology. 35(8). 790–799. 91 indexed citations
3.
Gauderman, W. James, Duncan C. Thomas, Cassandra E. Murcray, et al.. (2010). Efficient Genome-Wide Association Testing of Gene-Environment Interaction in Case-Parent Trios. American Journal of Epidemiology. 172(1). 116–122. 27 indexed citations
4.
Engelman, Corinne D., James W. Baurley, Yen‐Feng Chiu, et al.. (2009). Detecting gene‐environment interactions in genome‐wide association data. Genetic Epidemiology. 33(S1). S68–73. 18 indexed citations
5.
Murcray, Cassandra E., Juan Pablo Lewinger, & W. James Gauderman. (2008). Gene-Environment Interaction in Genome-Wide Association Studies. American Journal of Epidemiology. 169(2). 219–226. 202 indexed citations
6.
Murcray, Cassandra E., Juan Pablo Lewinger, & W. James Gauderman. (2008). Murcray et al. Respond to the Invited Commentaries. American Journal of Epidemiology. 169(2). 234–235. 2 indexed citations
7.
Gauderman, W. James, Cassandra E. Murcray, Frank D. Gilliland, & David V. Conti. (2007). Testing association between disease and multiple SNPs in a candidate gene. Genetic Epidemiology. 31(5). 383–395. 166 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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