William G. Fairbrother
- Molecular Biology top 5%
- RNA Research and Splicing 35
- RNA modifications and cancer 29
- RNA and protein synthesis mechanisms 23
- Genomics and Chromatin Dynamics 4
- CRISPR and Genetic Engineering 3
- Cancer Research top 5%
- Cancer-related molecular mechanisms research 4
- Genetics top 5%
- Neurogenetic and Muscular Disorders Research 3
- Genetics top 5%
- Neurogenetic and Muscular Disorders Research 3
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- SARS-CoV-2 and COVID-19 Research 2
- Co-authors
- Phillip A. SharpChristopher B. BurgeRu‐Fang YehKamil J. CyganKian‐Huat LimAllison J. TaggartLawrence A. ChasinBenjamin J. Raphael
- Journals
- Science (1 paper)Proceedings of the National Academy of Sciences (2 papers)Nucleic Acids Research (3 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
William G. Fairbrother
47 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Molecular Biology 2.5k
- Cancer Research 342
- Genetics 197
- Genetics 366
- Cardiology and Cardiovascular Medicine 184
Countries citing papers authored by William G. Fairbrother
This map shows the geographic impact of William G. Fairbrother'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 William G. Fairbrother with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William G. Fairbrother more than expected).
Fields of papers citing papers by William G. Fairbrother
This network shows the impact of papers produced by William G. Fairbrother. 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 William G. Fairbrother. The network helps show where William G. Fairbrother may publish in the future.
Co-authorship network
The 25 scholars most cited alongside William G. Fairbrother, 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 | 8 | |
| 2 | 2023 | 3 | |
| 3 | 2022 | 6 | |
| 4 | 2022 | 8 | |
| 5 | 2022 | 3 | |
| 6 | 2020 | 15 | |
| 7 | 2019 | 125 | |
| 8 | 2018 | 37 | |
| 9 | 2018 | 24 | |
| 10 | 2017 | 5 | |
| 11 | 2017 | 151 | |
| 12 | 2017 | 41 | |
| 13 | 2017 | 84 | |
| 14 | 2015 | 24 | |
| 15 | 2012 | 91 | |
| 16 | 2011 | 29 | |
| 17 | 2010 | 4 | |
| 18 | 2009 | 39 | |
| 19 | 2007 | 16 | |
| 20 | 2004 | 224 |
About William G. Fairbrother
William G. Fairbrother is a scholar working on Molecular Biology, Cancer Research and Genetics, having authored 48 papers that have together received 3.0k indexed citations. Recurring topics across this work include RNA Research and Splicing (35 papers), RNA modifications and cancer (29 papers), RNA and protein synthesis mechanisms (23 papers), Cancer-related molecular mechanisms research (4 papers), Genomics and Chromatin Dynamics (4 papers), Neurogenetic and Muscular Disorders Research (3 papers), CRISPR and Genetic Engineering (3 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Molecular Biology (2.5k citations), Cancer Research (342 citations) and Genetics (197 citations). William G. Fairbrother has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Phillip A. Sharp, Christopher B. Burge, Ru‐Fang Yeh, Kamil J. Cygan, Kian‐Huat Lim, Allison J. Taggart, Lawrence A. Chasin, Benjamin J. Raphael, Dirk Holste and Rachel Soemedi. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.