Jonathan E. Burnett
Impact in
- Biophysics top 10%
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- Single-cell and spatial transcriptomics
- CRISPR and Genetic Engineering
- Pluripotent Stem Cells Research
- Gene expression and cancer classification
- Gene Regulatory Network Analysis
- Genomics and Chromatin Dynamics
- Extracellular vesicles in disease
Papers in
-
- CRISPR and Genetic Engineering 5
- Single-cell and spatial transcriptomics 4
- Gene Regulatory Network Analysis 3
- Pluripotent Stem Cells Research 3
- Genomics and Chromatin Dynamics 1
- Gene expression and cancer classification 1
-
- Chromosomal and Genetic Variations 1
- Co-authors
- Yoav Gilad (7 shared papers)Po‐Yuan Tung (3 shared papers)John Blischak (3 shared papers)Jonathan K. Pritchard (3 shared papers)Chiaowen Joyce Hsiao (2 shared papers)David A. Knowles (1 shared paper)Bryan J. Pavlovic (3 shared papers)Michelle C. Ward (2 shared papers)
- Journals
- PLoS Genetics (2 papers)Genome Research (2 papers)Scientific Reports (2 papers)eLife (1 paper)
- Partner nations
- United StatesSpain
In The Last Decade
Jonathan E. Burnett
7 papers receiving 616 citations
Peers
Comparison fields: 5 of 73
- Biophysics 46
- Molecular Biology 519
- Cancer Research 90
- Aging 7
- Developmental Neuroscience 15
Countries citing papers authored by Jonathan E. Burnett
This map shows the geographic impact of Jonathan E. Burnett'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 Jonathan E. Burnett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan E. Burnett more than expected).
Fields of papers citing papers by Jonathan E. Burnett
This network shows the impact of papers produced by Jonathan E. Burnett. 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 Jonathan E. Burnett. The network helps show where Jonathan E. Burnett may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan E. Burnett, 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 | 2017 | 210 | |
| 2 | 2015 | 147 | |
| 3 | 2017 | 80 | |
| 4 | 2020 | 67 | |
| 5 | 2020 | 46 | |
| 6 | 2019 | 44 | |
| 7 | 2015 | 24 |
About Jonathan E. Burnett
Jonathan E. Burnett is a scholar working on Molecular Biology, Plant Science, Cancer Research, Infectious Diseases and Organic Chemistry, having authored 7 papers that have together received 618 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (5 papers), Single-cell and spatial transcriptomics (4 papers), Gene Regulatory Network Analysis (3 papers), Pluripotent Stem Cells Research (3 papers), Genomics and Chromatin Dynamics (1 paper), Cancer Genomics and Diagnostics (1 paper), Gene expression and cancer classification (1 paper) and Chromosomal and Genetic Variations (1 paper). The work is most often cited by research in Biophysics (46 citations), Molecular Biology (519 citations), Cancer Research (90 citations), Aging (7 citations) and Developmental Neuroscience (15 citations). Jonathan E. Burnett has collaborated with scholars based in United States and Spain. Frequent co-authors include Yoav Gilad, Po‐Yuan Tung, John Blischak, Jonathan K. Pritchard, Chiaowen Joyce Hsiao, David A. Knowles, Bryan J. Pavlovic, Michelle C. Ward, Matthew Stephens and Nicholas E. Banovich. Their work appears in journals such as PLoS Genetics, Genome Research, Scientific Reports and eLife.
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.