Emily Coonrod

942 total citations
21 papers, 614 citations indexed

About

Emily Coonrod is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Emily Coonrod has authored 21 papers receiving a total of 614 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Cancer Research and 6 papers in Genetics. Recurrent topics in Emily Coonrod's work include Genomics and Rare Diseases (4 papers), ATP Synthase and ATPases Research (4 papers) and Cancer-related molecular mechanisms research (4 papers). Emily Coonrod is often cited by papers focused on Genomics and Rare Diseases (4 papers), ATP Synthase and ATPases Research (4 papers) and Cancer-related molecular mechanisms research (4 papers). Emily Coonrod collaborates with scholars based in United States, Germany and United Kingdom. Emily Coonrod's co-authors include Karl V. Voelkerding, Mary Anne Karren, Janet M. Shaw, Rebecca L. Margraf, Jacob Durtschi, Attila Kumánovics, Tom H. Stevens, Nancy H. Augustine, Harry R. Hill and Nahla Heikal and has published in prestigious journals such as The Journal of Cell Biology, Developmental Cell and The American Journal of Human Genetics.

In The Last Decade

Emily Coonrod

21 papers receiving 612 citations

Peers

Emily Coonrod

IMMUN

GENET

EPIDE

Vladimir Poltoratsky United States

Kari Högstrand Sweden

Suvasini Ramaswamy United States

Amy Goodale United States

Elettra Bianchi Belgium

Elizabeth Pöhler United Kingdom

Stephen J. Zoog United States

Hilal Arnouk United States

Christopher S. Bland United States

Brian Freie United States

Vladimir Poltoratsky United States

Emily Coonrod

570 ×2.0

204 ×0.9

IMMUN

59 ×0.4

GENET

62 ×0.6

EPIDE

127 ×1.2

Citations per year, relative to Emily Coonrod Emily Coonrod (= 1×) peers Vladimir Poltoratsky

Countries citing papers authored by Emily Coonrod

Since Specialization

Citations

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

Fields of papers citing papers by Emily Coonrod

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emily Coonrod

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

Coonrod, Emily, et al.. (2024). BCAR4 Expression as a Predictive Biomarker for Endocrine Therapy Resistance in Breast Cancer. Clinical Breast Cancer. 24(4). 368–375.e2. 2 indexed citations

Zhao, Sidi, Amy Ly, Jacqueline L. Mudd, et al.. (2023). Characterization of cell-type specific circular RNAs associated with colorectal cancer metastasis. NAR Cancer. 5(2). zcad021–zcad021. 3 indexed citations

Dang, Ha X., Reyka G. Jayasinghe, Sidi Zhao, et al.. (2023). Single-cell transcriptomics reveals long noncoding RNAs associated with tumor biology and the microenvironment in pancreatic cancer. NAR Cancer. 5(4). zcad055–zcad055. 1 indexed citations

Nickless, Andrew, Jin Zhang, Matthew Inkman, et al.. (2022). Pan-Cancer Analysis Reveals Recurrent BCAR4 Gene Fusions across Solid Tumors. Molecular Cancer Research. 20(10). 1481–1488. 6 indexed citations

Coonrod, Emily, et al.. (2020). Pan-cancer proteogenomic analysis reveals long and circular noncoding RNAs encoding peptides. NAR Cancer. 2(3). zcaa015–zcaa015. 16 indexed citations

Huber, Andrew D., Dandan Liu, A.T. Gres, et al.. (2018). Novel Hepatitis B Virus Capsid-Targeting Antiviral That Aggregates Core Particles and Inhibits Nuclear Entry of Viral Cores. ACS Infectious Diseases. 5(5). 750–758. 15 indexed citations

Huber, Andrew D., Jennifer J. Wolf, Dandan Liu, et al.. (2018). The Heteroaryldihydropyrimidine Bay 38-7690 Induces Hepatitis B Virus Core Protein Aggregates Associated with Promyelocytic Leukemia Nuclear Bodies in Infected Cells. mSphere. 3(2). 22 indexed citations

Profaizer, Tracie, Emily Coonrod, Julio C. Delgado, & Attila Kumánovics. (2015). Report on the effects of fragment size, indexing, and read length on HLA sequencing on the Illumina MiSeq. Human Immunology. 76(12). 897–902. 14 indexed citations

Buchbinder, David, Yu Nee Lee, Juan C. Ravell, et al.. (2014). Identification of Patients with RAG Mutations Previously Diagnosed with Common Variable Immunodeficiency Disorders. Journal of Clinical Immunology. 35(2). 119–124. 51 indexed citations

10.

Coonrod, Emily, et al.. (2014). Next-generation Sequencing of Custom Amplicons to Improve Coverage of HaloPlex Multigene Panels. BioTechniques. 57(4). 204–207. 9 indexed citations

11.

Swoboda, Kathryn J., Rebecca L. Margraf, John C. Carey, et al.. (2013). A novel germline PIGA mutation in Ferro‐Cerebro‐Cutaneous syndrome: A neurodegenerative X‐linked epileptic encephalopathy with systemic iron‐overload. American Journal of Medical Genetics Part A. 164(1). 17–28. 51 indexed citations

12.

Coonrod, Emily, et al.. (2013). Clinical analysis of genome next-generation sequencing data using the Omicia platform. Expert Review of Molecular Diagnostics. 13(6). 529–540. 24 indexed citations

13.

Chen, Karin, Emily Coonrod, Attila Kumánovics, et al.. (2013). Germline Mutations in NFKB2 Implicate the Noncanonical NF-κB Pathway in the Pathogenesis of Common Variable Immunodeficiency. The American Journal of Human Genetics. 93(5). 812–824. 161 indexed citations

14.

Coonrod, Emily, Laurie A. Graham, Lindsay N. Carpp, et al.. (2013). Homotypic Vacuole Fusion in Yeast Requires Organelle Acidification and Not the V-ATPase Membrane Domain. Developmental Cell. 27(4). 462–468. 43 indexed citations

15.

Durtschi, Jacob, et al.. (2013). VarBin, a novel method for classifying true and false positive variants in NGS data. BMC Bioinformatics. 14(S13). S2–S2. 8 indexed citations

16.

Coonrod, Emily, Rebecca L. Margraf, & Karl V. Voelkerding. (2011). Translating exome sequencing from research to clinical diagnostics. Clinical Chemistry and Laboratory Medicine (CCLM). 50(7). 1161–1168. 9 indexed citations

17.

Coonrod, Emily & Tom H. Stevens. (2010). The Yeast vps Class E Mutants: The Beginning of the Molecular Genetic Analysis of Multivesicular Body Biogenesis. Molecular Biology of the Cell. 21(23). 4057–4060. 20 indexed citations

18.

Graham, Laurie A., Emily Coonrod, Tzu‐Yin Liu, et al.. (2008). Arabidopsis has Two Functional Orthologs of the Yeast V‐ATPase Assembly Factor Vma21p. Traffic. 9(10). 1618–1628. 13 indexed citations

19.

Coonrod, Emily, Mary Anne Karren, & Janet M. Shaw. (2007). Ugo1p Is a Multipass Transmembrane Protein with a Single Carrier Domain Required for Mitochondrial Fusion. Traffic. 8(5). 500–511. 46 indexed citations

20.

Karren, Mary Anne, et al.. (2005). The role of Fis1p–Mdv1p interactions in mitochondrial fission complex assembly. The Journal of Cell Biology. 171(2). 291–301. 72 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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