J. David Barrass
Impact in
- Molecular Biology top 10%
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- Genomics and Chromatin Dynamics
- CRISPR and Genetic Engineering
- RNA regulation and disease
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- Cancer-related molecular mechanisms research
Papers in
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- RNA Research and Splicing 18
- RNA and protein synthesis mechanisms 17
- RNA modifications and cancer 13
- Ubiquitin and proteasome pathways 3
- CRISPR and Genetic Engineering 2
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- Plant Molecular Biology Research 3
- Co-authors
- Jean D. Beggs (20 shared papers)Ross D. Alexander (3 shared papers)Richard Grainger (3 shared papers)Tatsiana Auchynnikava (2 shared papers)Kum-Loong Boon (2 shared papers)Shaun Webb (1 shared paper)David Tollervey (3 shared papers)Joanna Kufel (2 shared papers)
- Journals
- RNA (4 papers)Journal of Visualized Experiments (4 papers)Yeast (2 papers)RNA Biology (2 papers)Molecular Cell (2 papers)
- Partner nations
- United KingdomFranceItaly
In The Last Decade
J. David Barrass
24 papers receiving 893 citations
Peers
Comparison fields: 5 of 49
- Molecular Biology 847
- Cancer Research 56
- Genetics 95
- Aging 5
- Structural Biology 4
Countries citing papers authored by J. David Barrass
This map shows the geographic impact of J. David Barrass'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 J. David Barrass with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. David Barrass more than expected).
Fields of papers citing papers by J. David Barrass
This network shows the impact of papers produced by J. David Barrass. 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 J. David Barrass. The network helps show where J. David Barrass may publish in the future.
Co-authors
The 25 scholars most cited alongside J. David Barrass, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 204 | |
| 2 | 2007 | 82 | |
| 3 | 2014 | 71 | |
| 4 | 1993 | 68 | |
| 5 | 2006 | 62 | |
| 6 | 2006 | 57 | |
| 7 | 2015 | 51 | |
| 8 | 2010 | 46 | |
| 9 | 2009 | 44 | |
| 10 | 2018 | 33 | |
| 11 | 1992 | 27 | |
| 12 | 2018 | 27 | |
| 13 | 2003 | 26 | |
| 14 | 2012 | 21 | |
| 15 | 2015 | 15 | |
| 16 | 1990 | 15 | |
| 17 | 2009 | 13 | |
| 18 | 2009 | 13 | |
| 19 | 2014 | 10 | |
| 20 | 2019 | 7 |
About J. David Barrass
J. David Barrass is a scholar working on Molecular Biology, Plant Science, Cell Biology, Genetics and Biotechnology, having authored 24 papers that have together received 903 indexed citations. Recurring topics across this work include RNA Research and Splicing (18 papers), RNA and protein synthesis mechanisms (17 papers), RNA modifications and cancer (13 papers), Plant Molecular Biology Research (3 papers), Ubiquitin and proteasome pathways (3 papers), Transgenic Plants and Applications (2 papers), Virus-based gene therapy research (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Molecular Biology (847 citations), Cancer Research (56 citations), Genetics (95 citations), Aging (5 citations) and Structural Biology (4 citations). J. David Barrass has collaborated with scholars based in United Kingdom, France and Italy. Frequent co-authors include Jean D. Beggs, Ross D. Alexander, Richard Grainger, Tatsiana Auchynnikava, Kum-Loong Boon, Shaun Webb, David Tollervey, Joanna Kufel, Chris F. Inglehearn and Parastoo Ehsani. Their work appears in journals such as RNA, Journal of Visualized Experiments, Yeast, RNA Biology and Molecular Cell.
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.