Elizabeth Blue

3.9k total citations
45 papers, 466 citations indexed

About

Elizabeth Blue is a scholar working on Genetics, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Elizabeth Blue has authored 45 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Genetics, 19 papers in Molecular Biology and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Elizabeth Blue's work include Genetic Associations and Epidemiology (21 papers), Genomics and Rare Diseases (7 papers) and Alzheimer's disease research and treatments (7 papers). Elizabeth Blue is often cited by papers focused on Genetic Associations and Epidemiology (21 papers), Genomics and Rare Diseases (7 papers) and Alzheimer's disease research and treatments (7 papers). Elizabeth Blue collaborates with scholars based in United States, Canada and Germany. Elizabeth Blue's co-authors include Ellen M. Wijsman, Timothy A. Thornton, Andréa R. V. R. Horimoto, Shubhabrata Mukherjee, Michael J. Bamshad, Charles Cheung, Yi Cai, Joseph Haddad, Suman Jayadev and Ronald L. Gibson and has published in prestigious journals such as Nature Communications, Bioinformatics and The American Journal of Human Genetics.

In The Last Decade

Elizabeth Blue

40 papers receiving 458 citations

Peers

Elizabeth Blue

GENET

PHYSI

NEURO

PRM

B Schmidt-Sidor Poland

Nancy D. Merner United States

Tatiana Fila Italy

Youssef Hibaoui Switzerland

Louise Bier United States

Jessica Duis United States

Mohamad J. Alshikho United States

Run Xiao United States

Siân Baker United Kingdom

Glòria Arqué Spain

B Schmidt-Sidor Poland

Elizabeth Blue

145 ×0.6

GENET

204 ×1.2

75 ×0.7

PHYSI

144 ×2.0

NEURO

31 ×0.5

PRM

Citations per year, relative to Elizabeth Blue Elizabeth Blue (= 1×) peers B Schmidt-Sidor

Countries citing papers authored by Elizabeth Blue

Since Specialization

Citations

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

Fields of papers citing papers by Elizabeth Blue

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elizabeth Blue

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

Karagas, Nicholas E., Jessica E. Young, Elizabeth Blue, & Suman Jayadev. (2025). The Spectrum of Genetic Risk in Alzheimer Disease. Neurology Genetics. 11(1). e200224–e200224. 1 indexed citations

Blue, Elizabeth, et al.. (2025). Risk score roulette: A cautionary tale of polygenic risk score reliability. Journal of Alzheimer s Disease. 108(1). 65–70.

Wang, Yanbing, Chloé Sarnowski, Honghuang Lin, et al.. (2024). Key variants via the Alzheimer's Disease Sequencing Project whole genome sequence data. Alzheimer s & Dementia. 20(5). 3290–3304. 7 indexed citations

Watson, Cynthia J., et al.. (2024). Targeted sequencing for hereditary breast and ovarian cancer in BRCA1/2-negative families reveals complex genetic architecture and phenocopies. Human Genetics and Genomics Advances. 5(3). 100306–100306.

Blue, Elizabeth, et al.. (2024). The power of representation: Statistical analysis of diversity in US Alzheimer's disease genetics data. Alzheimer s & Dementia Translational Research & Clinical Interventions. 10(1). e12462–e12462. 4 indexed citations

Watson, Cynthia J., et al.. (2024). In vitro data suggest a role for PMS2 Kozak sequence mutations in Lynch syndrome risk. Human Genetics and Genomics Advances. 5(3). 100298–100298. 1 indexed citations

Sun, Quan, Tyne W. Miller‐Fleming, Nancy J. Cox, et al.. (2023). Genetic examination of hematological parameters in SARS-CoV-2 infection and COVID-19. Blood Cells Molecules and Diseases. 103. 102782–102782. 1 indexed citations

Prater, Katherine E., Wei Sun, C. Smith, et al.. (2023). Human microglia show unique transcriptional changes in Alzheimer’s disease. Nature Aging. 3(7). 894–907. 69 indexed citations

Rosenfeld, Margaret, Anna Faino, Pingping Qu, et al.. (2023). Association of Pseudomonas aeruginosa infection stage with lung function trajectory in children with cystic fibrosis. Journal of Cystic Fibrosis. 22(5). 857–863. 6 indexed citations

10.

Zhai, Jing, Mary J. Emond, Amber Spangenberg, et al.. (2022). Club cell secretory protein and lung function in children with cystic fibrosis. Journal of Cystic Fibrosis. 21(5). 811–820. 11 indexed citations

11.

Rosenfeld, Margaret, Anna Faino, Frankline Onchiri, et al.. (2021). Comparing encounter-based and annualized chronic pseudomonas infection definitions in cystic fibrosis. Journal of Cystic Fibrosis. 21(1). 40–44. 6 indexed citations

12.

Raraigh, Karen S., Melis A. Aksit, Kurt N. Hetrick, et al.. (2021). Complete CFTR gene sequencing in 5,058 individuals with cystic fibrosis informs variant-specific treatment. Journal of Cystic Fibrosis. 21(3). 463–470. 17 indexed citations

13.

Horimoto, Andréa R. V. R., et al.. (2021). Admixture mapping reveals the association between Native American ancestry at 3q13.11 and reduced risk of Alzheimer’s disease in Caribbean Hispanics. Alzheimer s Research & Therapy. 13(1). 122–122. 12 indexed citations

14.

Guo, Dongchuan, Amélie Pinard, Ellen M. Hostetler, et al.. (2020). Rare deleterious variants of NOTCH1, GATA4, SMAD6, and ROBO4 are enriched in BAV with early onset complications but not in BAV with heritable thoracic aortic disease. Molecular Genetics & Genomic Medicine. 8(10). e1406–e1406. 13 indexed citations

15.

Chapman, N.H., Raphael Bernier, Sara Jane Webb, et al.. (2018). Replication of a rare risk haplotype on 1p36.33 for autism spectrum disorder. Human Genetics. 137(10). 807–815. 3 indexed citations

16.

Cai, Yi, et al.. (2016). Using Whole Exome Sequencing to Identify Candidate Genes With Rare Variants In Nonsyndromic Cleft Lip and Palate. Genetic Epidemiology. 40(5). 432–441. 26 indexed citations

17.

Blue, Elizabeth, Lisa Brown, Matthew P. Conomos, et al.. (2016). Estimating relationships between phenotypes and subjects drawn from admixed families. BMC Proceedings. 10(S7). 357–362. 4 indexed citations

18.

Shahzad, Mohsin, Cecilia Herráiz, Rizwan Yousaf, et al.. (2015). Identification and functional characterization of natural human melanocortin 1 receptor mutant alleles in Pakistani population. Pigment Cell & Melanoma Research. 28(6). 730–735. 3 indexed citations

19.

Blue, Elizabeth, Charles Cheung, Matthew P. Conomos, et al.. (2014). Identity-by-descent graphs offer a flexible framework for imputation and both linkage and association analyses. BMC Proceedings. 8(S1). S19–S19. 6 indexed citations

20.

Cheung, Charles, Elizabeth Blue, & Ellen M. Wijsman. (2014). A Statistical Framework to Guide Sequencing Choices in Pedigrees. The American Journal of Human Genetics. 94(2). 257–267. 20 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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