Bryony Graham
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- RNA Research and Splicing
- RNA modifications and cancer
- Genomics and Chromatin Dynamics
- Epigenetics and DNA Methylation
- RNA and protein synthesis mechanisms
- Circular RNAs in diseases
Papers in
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- Genomics and Chromatin Dynamics 4
- RNA Research and Splicing 3
- RNA and protein synthesis mechanisms 2
- Epigenetics and DNA Methylation 2
- Cancer-related gene regulation 1
- Pluripotent Stem Cells Research 1
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- MicroRNA in disease regulation 2
- Cancer-related molecular mechanisms research 2
- Co-authors
- Douglas R. Higgs (5 shared papers)Jim R. Hughes (4 shared papers)Chris P. Ponting (2 shared papers)Ana Claudia Marques (2 shared papers)Monika S. Kowalczyk (1 shared paper)Matthias Merkenschlager (3 shared papers)Jelena Telenius (3 shared papers)Tamara Sirey (1 shared paper)
- Journals
- Molecular Cell (1 paper)Nature Communications (1 paper)Proceedings of the National Academy of Sciences (1 paper)Nature Cell Biology (1 paper)Genome biology (1 paper)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Bryony Graham
7 papers receiving 489 citations
Peers
Comparison fields: 5 of 55
- Cancer Research 211
- Molecular Biology 415
- Genetics 51
- Endocrinology 8
- Cell Biology 25
Countries citing papers authored by Bryony Graham
This map shows the geographic impact of Bryony Graham'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 Bryony Graham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bryony Graham more than expected).
Fields of papers citing papers by Bryony Graham
This network shows the impact of papers produced by Bryony Graham. 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 Bryony Graham. The network helps show where Bryony Graham may publish in the future.
Co-authors
The 25 scholars most cited alongside Bryony Graham, 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 | 2013 | 136 | |
| 2 | 2017 | 109 | |
| 3 | 2015 | 88 | |
| 4 | 2011 | 53 | |
| 5 | 2018 | 53 | |
| 6 | 2021 | 32 | |
| 7 | 2016 | 21 |
About Bryony Graham
Bryony Graham is a scholar working on Molecular Biology, Cancer Research, Plant Science, Infectious Diseases and Organic Chemistry, having authored 7 papers that have together received 492 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (4 papers), RNA Research and Splicing (3 papers), RNA and protein synthesis mechanisms (2 papers), Epigenetics and DNA Methylation (2 papers), MicroRNA in disease regulation (2 papers), Cancer-related molecular mechanisms research (2 papers), Cancer-related gene regulation (1 paper) and Pluripotent Stem Cells Research (1 paper). The work is most often cited by research in Cancer Research (211 citations), Molecular Biology (415 citations), Genetics (51 citations), Endocrinology (8 citations) and Cell Biology (25 citations). Bryony Graham has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Douglas R. Higgs, Jim R. Hughes, Chris P. Ponting, Ana Claudia Marques, Monika S. Kowalczyk, Matthias Merkenschlager, Jelena Telenius, Tamara Sirey, Allison Piovesan and Jennifer Y. Tan. Their work appears in journals such as Molecular Cell, Nature Communications, Proceedings of the National Academy of Sciences, Nature Cell Biology and Genome biology.
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.