Holly C. Beale

1.6k total citations
20 papers, 595 citations indexed

About

Holly C. Beale is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Holly C. Beale has authored 20 papers receiving a total of 595 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 9 papers in Cancer Research and 6 papers in Genetics. Recurrent topics in Holly C. Beale's work include Cancer Genomics and Diagnostics (6 papers), Genetic and phenotypic traits in livestock (3 papers) and Human-Animal Interaction Studies (3 papers). Holly C. Beale is often cited by papers focused on Cancer Genomics and Diagnostics (6 papers), Genetic and phenotypic traits in livestock (3 papers) and Human-Animal Interaction Studies (3 papers). Holly C. Beale collaborates with scholars based in United States, Canada and Ireland. Holly C. Beale's co-authors include Mary B. Kennedy, Holly J. Carlisle, Lorraine Washburn, Elaine A. Ostrander, Robert K. Wayne, Maud Rimbault, Jeffrey J. Schoenebeck, Jeremy J. Allen, Barbara C. Hoopes and Nathan B. Sutter and has published in prestigious journals such as Science, Journal of Clinical Oncology and Nature reviews. Neuroscience.

In The Last Decade

Holly C. Beale

19 papers receiving 591 citations

Peers

Holly C. Beale
Sandra Piltz Australia
Andrew M. Hamilton United States
Marco Benevento Netherlands
Mary Anne Mann United States
Jiekun Yan Belgium
Margaret Herre United States
Paola N. Perrat United States
Jennifer Skidmore United States
Sandra Piltz Australia
Holly C. Beale
Citations per year, relative to Holly C. Beale Holly C. Beale (= 1×) peers Sandra Piltz

Countries citing papers authored by Holly C. Beale

Since Specialization
Citations

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

Fields of papers citing papers by Holly C. Beale

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Holly C. Beale

This figure shows the co-authorship network connecting the top 25 collaborators of Holly C. Beale. A scholar is included among the top collaborators of Holly C. Beale 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 Holly C. Beale. Holly C. Beale 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.
Beale, Holly C., Lauren Sanders, Ellen Kephart, et al.. (2025). Comparative analysis of RNA expression in a single institution cohort of pediatric cancer patients. npj Precision Oncology. 9(1). 81–81. 1 indexed citations
2.
Sanders, Lauren, Holly C. Beale, Ellen Kephart, et al.. (2025). Comparative analysis of RNA expression identifies effective targeted drug in myoepithelial carcinoma. npj Precision Oncology. 9(1). 145–145. 1 indexed citations
3.
Vaske, Olena M., Anouk van den Bout, Holly C. Beale, et al.. (2023). Comprehensive clinical tumor RNA sequencing for children with cancer.. Journal of Clinical Oncology. 41(16_suppl). e15067–e15067.
4.
Beale, Holly C., Cindy Sander, Carla J. Connelly, et al.. (2022). TPP1 promoter mutations cooperate with TERT promoter mutations to lengthen telomeres in melanoma. Science. 378(6620). 664–668. 24 indexed citations
5.
Sanders, Lauren, Navid Zebarjadi, Holly C. Beale, et al.. (2022). Machine learning multi-omics analysis reveals cancer driver dysregulation in pan-cancer cell lines compared to primary tumors. Communications Biology. 5(1). 1367–1367. 6 indexed citations
6.
Beale, Holly C., Katrina Learned, Ellen Kephart, et al.. (2021). The case for using mapped exonic non-duplicate reads when reporting RNA-sequencing depth: examples from pediatric cancer datasets. GigaScience. 10(3). 4 indexed citations
7.
Reed, Megan R., Leena Maddukuri, Katrina Learned, et al.. (2021). A Functional Precision Medicine Pipeline Combines Comparative Transcriptomics and Tumor Organoid Modeling to Identify Bespoke Treatment Strategies for Glioblastoma. Cells. 10(12). 3400–3400. 15 indexed citations
8.
Vivian, John, Jordan M. Eizenga, Holly C. Beale, Olena M. Vaske, & Benedict Paten. (2020). Bayesian Framework for Detecting Gene Expression Outliers in Individual Samples. JCO Clinical Cancer Informatics. 4(4). 160–170. 9 indexed citations
9.
Pfeil, Jacob, Lauren Sanders, Ioannis N. Anastopoulos, et al.. (2020). Hydra: A mixture modeling framework for subtyping pediatric cancer cohorts using multimodal gene expression signatures. PLoS Computational Biology. 16(4). e1007753–e1007753. 1 indexed citations
10.
Sanders, Lauren, Lucas Seninge, Anouk van den Bout, et al.. (2020). Identification of a differentiation stall in epithelial mesenchymal transition in histone H3–mutant diffuse midline glioma. GigaScience. 9(12). 10 indexed citations
11.
Learned, Katrina, Ann Durbin, Robert Currie, et al.. (2019). Barriers to accessing public cancer genomic data. Scientific Data. 6(1). 98–98. 18 indexed citations
12.
Beale, Holly C., Ellen Kephart, Lauren Sanders, et al.. (2018). Getting consistent results from comparative analysis of RNA_Seq data from single patients.. Journal of Clinical Oncology. 36(15_suppl). e24194–e24194. 1 indexed citations
13.
Pfeil, Jacob, Ann Durbin, Ellen Kephart, et al.. (2018). Gene expression analysis for improved subtyping of high-risk neuroblastoma.. Journal of Clinical Oncology. 36(15_suppl). 10559–10559. 1 indexed citations
14.
Learned, Katrina, Ann Durbin, Robert Currie, et al.. (2017). Abstract LB-338: A critical evaluation of genomic data sharing: Barriers to accessing pediatric cancer genomic datasets: a Treehouse Childhood Cancer Initiative experience. Cancer Research. 77(13_Supplement). LB–338. 2 indexed citations
15.
Lyons, Leslie A., Hasan Alhaddad, Holly C. Beale, et al.. (2016). Whole genome sequencing in cats, identifies new models for blindness in AIPL1 and somite segmentation in HES7. BMC Genomics. 17(1). 265–265. 34 indexed citations
16.
Rimbault, Maud, Holly C. Beale, Jeffrey J. Schoenebeck, et al.. (2013). Derived variants at six genes explain nearly half of size reduction in dog breeds. Genome Research. 23(12). 1985–1995. 114 indexed citations
17.
Beale, Holly C. & Elaine A. Ostrander. (2012). Sizing up dogs. Current Biology. 22(9). R315–R316. 10 indexed citations
18.
Schoenebeck, Jeffrey J., Sarah A. Hutchinson, Holly C. Beale, et al.. (2012). Variation of BMP3 Contributes to Dog Breed Skull Diversity. PLoS Genetics. 8(8). e1002849–e1002849. 126 indexed citations
19.
Kennedy, Mary B., Holly C. Beale, Holly J. Carlisle, & Lorraine Washburn. (2005). Integration of biochemical signalling in spines. Nature reviews. Neuroscience. 6(6). 423–434. 217 indexed citations
20.
Fusé, Megumi, et al.. (2005). Automated Behavioral Phenotype Detection and Analysis Using Color-Based Motion Tracking. 7. 370–377. 1 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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