Brent Ewing
- Molecular Biology top 0.5%
- RNA and protein synthesis mechanisms 3
- RNA Research and Splicing 3
- Genomics and Chromatin Dynamics 3
- Single-cell and spatial transcriptomics 2
- Genomics and Phylogenetic Studies 2
- Genetics top 0.5%
- Plant Science top 0.5%
- Ecology top 1%
- Endocrinology top 1%
-
- Genetics, Aging, and Longevity in Model Organisms 4
-
- NMR spectroscopy and applications 3
-
- Advanced MRI Techniques and Applications 3
- Co-authors
- Phil GreenLaDeana HillierMichael C. WendlPamela J. ThomasEric D. GreenWebb MillerColleen DavisDaehyun Baek
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Brent Ewing
16 papers receiving 10.5k citations
Hit Papers
Peers
Comparison fields: 5 of 164
- Molecular Biology 6.3k
- Genetics 2.4k
- Plant Science 2.7k
- Ecology 1.7k
- Endocrinology 319
Countries citing papers authored by Brent Ewing
This map shows the geographic impact of Brent Ewing'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 Brent Ewing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brent Ewing more than expected).
Fields of papers citing papers by Brent Ewing
This network shows the impact of papers produced by Brent Ewing. 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 Brent Ewing. The network helps show where Brent Ewing may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Brent Ewing, 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 | 2024 | 5 | |
| 2 | 2023 | 20 | |
| 3 | 2023 | 19 | |
| 4 | 2022 | 4 | |
| 5 | 2019 | 19 | |
| 6 | 2008 | 69 | |
| 7 | 2007 | 73 | |
| 8 | 2007 | 33 | |
| 9 | 2007 | 2 | |
| 10 | 2003 | 229 | |
| 11 | 2000 | 236 | |
| 12 | Base-Calling of Automated Sequencer Traces Using Phred. II. Error Probabilitiesbreakdown → | 1998 | 4419 |
| 13 | Base-Calling of Automated Sequencer Traces UsingPhred. I. Accuracy Assessmentbreakdown → | 1998 | 5709 |
| 14 | 1992 | 4 | |
| 15 | 1992 | 7 | |
| 16 | 1990 | 17 |
About Brent Ewing
Brent Ewing is a scholar working on Aging, Nuclear and High Energy Physics and Radiological and Ultrasound Technology, having authored 16 papers that have together received 10.9k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (4 papers), NMR spectroscopy and applications (3 papers), Advanced MRI Techniques and Applications (3 papers), RNA and protein synthesis mechanisms (3 papers), RNA Research and Splicing (3 papers), Genomics and Chromatin Dynamics (3 papers), Single-cell and spatial transcriptomics (2 papers) and Genomics and Phylogenetic Studies (2 papers). The work is most often cited by research in Molecular Biology (6.3k citations), Genetics (2.4k citations) and Plant Science (2.7k citations). Brent Ewing has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Phil Green, LaDeana Hillier, Michael C. Wendl, Pamela J. Thomas, Eric D. Green, Webb Miller, Colleen Davis, Daehyun Baek, David Gordon and Steffen J. Glaser. Their work appears in journals such as Genome Research, Nature Genetics, Catalysis Today, Communications Biology and Nature.
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.