Aaron Elliott
Impact in
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
- Genetics top 10%
- BRCA gene mutations in cancer
- Genomics and Rare Diseases
- Genomic variations and chromosomal abnormalities
Papers in
- Genetics 14
- Genomics and Rare Diseases 8
- BRCA gene mutations in cancer 6
- Genomic variations and chromosomal abnormalities 5
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- Pluripotent Stem Cells Research 5
- CRISPR and Genetic Engineering 5
- Gene expression and cancer classification 2
- Advanced biosensing and bioanalysis techniques 1
- Co-authors
- Muhammad Al‐Hajj (1 shared paper)Hsiao‐Mei Lu (5 shared papers)Wenbo Mu (4 shared papers)Jefferey Chen (3 shared papers)Shuwei Li (3 shared papers)Anja Kammesheidt (4 shared papers)Robert Huether (4 shared papers)Phillip Gray (3 shared papers)
- Journals
- Genetics in Medicine (2 papers)PLoS ONE (2 papers)British Journal of Haematology (1 paper)Developmental Biology (1 paper)Cancers (1 paper)
- Partner nations
- United StatesSpainGermany
In The Last Decade
Aaron Elliott
18 papers receiving 724 citations
Peers
Comparison fields: 5 of 83
- Cancer Research 216
- Genetics 338
- Genetics 73
- Pathology and Forensic Medicine 113
- Molecular Biology 342
Countries citing papers authored by Aaron Elliott
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
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-authors
The 25 scholars most cited alongside Aaron Elliott, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 121 | |
| 2 | 2018 | 116 | |
| 3 | 2009 | 96 | |
| 4 | 2012 | 57 | |
| 5 | 2014 | 57 | |
| 6 | 2016 | 54 | |
| 7 | 2015 | 52 | |
| 8 | 2015 | 46 | |
| 9 | 2010 | 34 | |
| 10 | 2018 | 24 | |
| 11 | 2006 | 17 | |
| 12 | 2007 | 16 | |
| 13 | 2018 | 15 | |
| 14 | 2018 | 14 | |
| 15 | 2018 | 10 | |
| 16 | 2012 | 4 | |
| 17 | 2022 | 3 | |
| 18 | 2012 | 1 |
About Aaron Elliott
Aaron Elliott is a scholar working on Genetics, Molecular Biology, Cancer Research, Genetics and Surgery, having authored 18 papers that have together received 737 indexed citations. Recurring topics across this work include Genomics and Rare Diseases (8 papers), Cancer Genomics and Diagnostics (6 papers), BRCA gene mutations in cancer (6 papers), Pluripotent Stem Cells Research (5 papers), CRISPR and Genetic Engineering (5 papers), Genomic variations and chromosomal abnormalities (5 papers), Gene expression and cancer classification (2 papers) and Advanced biosensing and bioanalysis techniques (1 paper). The work is most often cited by research in Cancer Research (216 citations), Genetics (338 citations), Genetics (73 citations), Pathology and Forensic Medicine (113 citations) and Molecular Biology (342 citations). Aaron Elliott has collaborated with scholars based in United States, Spain and Germany. Frequent 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. Their work appears in journals such as Genetics in Medicine, PLoS ONE, British Journal of Haematology, Developmental Biology and Cancers.
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.