Aaron Elliott

2.3k total citations
18 papers, 737 citations indexed

About

Aaron Elliott is a scholar working on Genetics, Molecular Biology and Cancer Research. According to data from OpenAlex, Aaron Elliott has authored 18 papers receiving a total of 737 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Genetics, 10 papers in Molecular Biology and 6 papers in Cancer Research. Recurrent topics in Aaron Elliott's work include Genomics and Rare Diseases (8 papers), BRCA gene mutations in cancer (6 papers) and Cancer Genomics and Diagnostics (6 papers). Aaron Elliott is often cited by papers focused on Genomics and Rare Diseases (8 papers), BRCA gene mutations in cancer (6 papers) and Cancer Genomics and Diagnostics (6 papers). Aaron Elliott collaborates with scholars based in United States, Germany and United Kingdom. Aaron Elliott's co-authors include Muhammad Al‐Hajj, Hsiao‐Mei Lu, Wenbo Mu, Jefferey Chen, Shuwei Li, Anja Kammesheidt, Robert Huether, Phillip Gray, Hansook Kim Chong and Elizabeth Chao and has published in prestigious journals such as PLoS ONE, Developmental Biology and British Journal of Haematology.

In The Last Decade

Aaron Elliott

18 papers receiving 724 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Aaron Elliott United States	14	342	338	216	132	113	18	737
Sabine Franke Germany	11	281 0.8×	150 0.4×	146 0.7×	139 1.1×	100 0.9×	24	557
Hein F.B.M. Sleddens Netherlands	15	357 1.0×	179 0.5×	231 1.1×	313 2.4×	189 1.7×	22	782
Yong Xian United States	9	473 1.4×	302 0.9×	76 0.4×	210 1.6×	62 0.5×	9	726
Zaletaev Dv Russia	12	435 1.3×	86 0.3×	201 0.9×	154 1.2×	53 0.5×	93	674
J.M. Trent United States	11	282 0.8×	173 0.5×	104 0.5×	168 1.3×	62 0.5×	20	563
Jörg Weimer Germany	15	410 1.2×	150 0.4×	143 0.7×	149 1.1×	42 0.4×	54	726
Beth O. Van Emburgh United States	9	664 1.9×	132 0.4×	165 0.8×	223 1.7×	83 0.7×	10	922
Diha Freije United States	14	792 2.3×	310 0.9×	231 1.1×	158 1.2×	114 1.0×	19	1.2k
Shumpei Ohnami Japan	20	397 1.2×	264 0.8×	222 1.0×	411 3.1×	139 1.2×	53	967
Margrét Steinarsdóttir Iceland	13	345 1.0×	216 0.6×	219 1.0×	262 2.0×	93 0.8×	28	611

Countries citing papers authored by Aaron Elliott

Since Specialization

Citations

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

Fields of papers citing papers by Aaron Elliott

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aaron Elliott

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

All Works

Sort: Min cites: Since: Top N: Style:

18 of 18 papers shown

Shih, Andrew, Tomi Jun, Andrew D. Skol, et al.. (2022). Inherited cancer predisposing mutations in patients with therapy‐related myeloid neoplasms. British Journal of Haematology. 200(4). 489–493. 3 indexed citations

Qian, Dajun, Shuwei Li, Yuan Tian, et al.. (2018). A Bayesian framework for efficient and accurate variant prediction. PLoS ONE. 13(9). e0203553–e0203553. 10 indexed citations

Richardson, Marcy E., Hansook Kim Chong, Wenbo Mu, et al.. (2018). DNA breakpoint assay reveals a majority of gross duplications occur in tandem reducing VUS classifications in breast cancer predisposition genes. Genetics in Medicine. 21(3). 683–693. 15 indexed citations

Mu, Wenbo, Bing Li, Sitao Wu, et al.. (2018). Detection of structural variation using target captured next-generation sequencing data for genetic diagnostic testing. Genetics in Medicine. 21(7). 1603–1610. 24 indexed citations

Farber-Katz, Suzette, Vickie Hsuan, Sitao Wu, et al.. (2018). Quantitative Analysis of BRCA1 and BRCA2 Germline Splicing Variants Using a Novel RNA-Massively Parallel Sequencing Assay. Frontiers in Oncology. 8. 286–286. 14 indexed citations

Lu, Hsiao‐Mei, Shuwei Li, Mary Helen Black, et al.. (2018). Association of Breast and Ovarian Cancers With Predisposition Genes Identified by Large-Scale Sequencing. JAMA Oncology. 5(1). 51–51. 116 indexed citations

Mu, Wenbo, Hsiao‐Mei Lu, Jefferey Chen, Shuwei Li, & Aaron Elliott. (2016). Sanger Confirmation Is Required to Achieve Optimal Sensitivity and Specificity in Next-Generation Sequencing Panel Testing. Journal of Molecular Diagnostics. 18(6). 923–932. 121 indexed citations

Pesaran, Tina, Rachid Karam, Robert Huether, et al.. (2016). Beyond DNA: An Integrated and Functional Approach for Classifying Germline Variants in Breast Cancer Genes. International Journal of Breast Cancer. 2016. 1–10. 54 indexed citations

Hernandez, Felicia, Robert Huether, Jennifer Thompson, et al.. (2015). Mutations in RASA1 and GDF2 identified in patients with clinical features of hereditary hemorrhagic telangiectasia. Human Genome Variation. 2(1). 15040–15040. 52 indexed citations

10.

Gray, Phillip, et al.. (2015). Not All Next Generation Sequencing Diagnostics are Created Equal: Understanding the Nuances of Solid Tumor Assay Design for Somatic Mutation Detection. Cancers. 7(3). 1313–1332. 46 indexed citations

11.

Chong, Hansook Kim, Tao Wang, Hsiao-Mei Lu, et al.. (2014). The Validation and Clinical Implementation of BRCAplus: A Comprehensive High-Risk Breast Cancer Diagnostic Assay. PLoS ONE. 9(5). e97408–e97408. 57 indexed citations

12.

Elliott, Aaron, et al.. (2012). Rapid Detection of the ACMG/ACOG-Recommended 23 CFTR Disease-Causing Mutations Using Ion Torrent Semiconductor Sequencing. Journal of Biomolecular Techniques JBT. 23(1). 24–30. 57 indexed citations

13.

Elliott, Aaron, et al.. (2012). Array-Comparative Genomic Hybridization Characterization of Human Pluripotent Stem Cells. Methods in molecular biology. 873. 261–267. 4 indexed citations

14.

Elliott, Aaron, et al.. (2012). High-Resolution Genomic Profiling of Chromosomal Abnormalities in Human Stem Cells Using the 135 K StemArray. Stem Cells International. 2012. 1–6. 1 indexed citations

15.

Elliott, Aaron, et al.. (2010). High Resolution Array-CGH Characterization of Human Stem Cells Using a Stem Cell Focused Microarray. Molecular Biotechnology. 46(3). 234–242. 34 indexed citations

16.

Elliott, Aaron & Muhammad Al‐Hajj. (2009). ABCB8 Mediates Doxorubicin Resistance in Melanoma Cells by Protecting the Mitochondrial Genome. Molecular Cancer Research. 7(1). 79–87. 96 indexed citations

17.

Elliott, Aaron, María P. De Miguel, Vivienne I. Rebel, & Peter J. Donovan. (2007). Identifying genes differentially expressed between PGCs and ES cells reveals a role for CREB-binding protein in germ cell survival. Developmental Biology. 311(2). 347–358. 16 indexed citations

18.

Kerr, Candace L., John D. Gearhart, Aaron Elliott, & Peter J. Donovan. (2006). Embryonic Germ Cells: When Germ Cells Become Stem Cells. Seminars in Reproductive Medicine. 24(5). 304–313. 17 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.

Explore authors with similar magnitude of impact