Duncan Sproul
Impact in
- Molecular Biology top 2%
- Epigenetics and DNA Methylation
- Genomics and Chromatin Dynamics
- RNA modifications and cancer
- RNA Research and Splicing
- Cancer-related gene regulation
- Nuclear Structure and Function
- RNA and protein synthesis mechanisms
- Aging top 5%
Papers in
- Aging 1
-
- Epigenetics and DNA Methylation 23
- Genomics and Chromatin Dynamics 11
- RNA modifications and cancer 8
- Cancer-related gene regulation 8
- RNA Research and Splicing 3
- CRISPR and Genetic Engineering 3
- Co-authors
- Wendy A. BickmoreNick GilbertRichard R. MeehanDavid J. HarrisonShelagh BoyleJ. Michael DixonColm E. NestorBernard Ramsahoye
- Journals
- Genome biology (4 papers)Nature Communications (3 papers)Nucleic Acids Research (3 papers)Proceedings of the National Academy of Sciences (2 papers)PLoS Genetics (2 papers)
- Partner nations
- United KingdomUnited StatesNetherlands
In The Last Decade
Duncan Sproul
32 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 110
- Molecular Biology 2.5k
- Aging 53
- Cancer Research 382
- Genetics 450
- Immunology 165
Countries citing papers authored by Duncan Sproul
This map shows the geographic impact of Duncan Sproul'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 Duncan Sproul with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Duncan Sproul more than expected).
Fields of papers citing papers by Duncan Sproul
This network shows the impact of papers produced by Duncan Sproul. 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 Duncan Sproul. The network helps show where Duncan Sproul may publish in the future.
Co-authors
The 25 scholars most cited alongside Duncan Sproul, 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 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 6 | |
| 4 | 2024 | 5 | |
| 5 | 2023 | 7 | |
| 6 | 2022 | 7 | |
| 7 | 2021 | 31 | |
| 8 | 2017 | 130 | |
| 9 | 2015 | 34 | |
| 10 | 2014 | 32 | |
| 11 | 2013 | 91 | |
| 12 | 2013 | 48 | |
| 13 | 2013 | 28 | |
| 14 | 2012 | 21 | |
| 15 | 2011 | 326 | |
| 16 | 2011 | 27 | |
| 17 | 2010 | 418 | |
| 18 | 2008 | 448 | |
| 19 | 2005 | 230 | |
| 20 | 2004 | 123 |
About Duncan Sproul
Duncan Sproul is a scholar working on Aging, Molecular Biology, Cancer Research, Immunology and Allergy and Genetics, having authored 35 papers that have together received 2.9k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (23 papers), Genomics and Chromatin Dynamics (11 papers), RNA modifications and cancer (8 papers), Cancer-related gene regulation (8 papers), Genetic Syndromes and Imprinting (4 papers), RNA Research and Splicing (3 papers), CRISPR and Genetic Engineering (3 papers) and Genetics and Neurodevelopmental Disorders (3 papers). The work is most often cited by research in Molecular Biology (2.5k citations), Aging (53 citations), Cancer Research (382 citations), Genetics (450 citations) and Immunology (165 citations). Duncan Sproul has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Wendy A. Bickmore, Nick Gilbert, Richard R. Meehan, David J. Harrison, Shelagh Boyle, J. Michael Dixon, Colm E. Nestor, Bernard Ramsahoye, Jonathan R. Chubb and Bauke Ylstra. Their work appears in journals such as Genome biology, Nature Communications, Nucleic Acids Research, Proceedings of the National Academy of Sciences and PLoS Genetics.
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.