Beverley M. Dancy
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
- Geriatrics and Gerontology top 10%
Papers in
-
- Histone Deacetylase Inhibitors Research 4
- Mitochondrial Function and Pathology 4
- Coenzyme Q10 studies and effects 2
- Genomics and Chromatin Dynamics 2
- Epigenetics and DNA Methylation 2
- Aging 4
- Genetics, Aging, and Longevity in Model Organisms 4
- Co-authors
- Philip A. Cole (8 shared papers)Meredith B. Metzger (1 shared paper)Susan Michaelis (1 shared paper)Margaret M. Sedensky (2 shared papers)Rashmi Kamble (1 shared paper)Helen Michels (1 shared paper)Laurent Mouchiroud (1 shared paper)Celia J. A. Morgan (1 shared paper)
- Journals
- Journal of the American Chemical Society (2 papers)Chemical Reviews (2 papers)Frontiers in bioscience (1 paper)Molecular & Cellular Proteomics (1 paper)ChemBioChem (1 paper)
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Beverley M. Dancy
13 papers receiving 1.1k citations
Beverley M. Dancy's Hit Papers
Peers
Comparison fields: 5 of 90
- Aging 118
- Geriatrics and Gerontology 52
- Molecular Biology 883
- Cell Biology 122
- Cancer Research 81
Countries citing papers authored by Beverley M. Dancy
This map shows the geographic impact of Beverley M. Dancy'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 Beverley M. Dancy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beverley M. Dancy more than expected).
Fields of papers citing papers by Beverley M. Dancy
This network shows the impact of papers produced by Beverley M. Dancy. 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 Beverley M. Dancy. The network helps show where Beverley M. Dancy may publish in the future.
Co-authors
The 25 scholars most cited alongside Beverley M. Dancy, 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 | Protein Lysine Acetylation by p300/CBP Hit paper breakdown → | 2015 | 414 |
| 2 | 2016 | 119 | |
| 3 | 2008 | 113 | |
| 4 | 2010 | 99 | |
| 5 | 2013 | 83 | |
| 6 | 2009 | 53 | |
| 7 | 2012 | 45 | |
| 8 | 2014 | 44 | |
| 9 | 2012 | 41 | |
| 10 | 2012 | 41 | |
| 11 | 2015 | 17 | |
| 12 | 2015 | 16 | |
| 13 | 2016 | 8 |
About Beverley M. Dancy
Beverley M. Dancy is a scholar working on Molecular Biology, Aging, Cell Biology, Organic Chemistry and Oncology, having authored 13 papers that have together received 1.1k indexed citations. Recurring topics across this work include Histone Deacetylase Inhibitors Research (4 papers), Mitochondrial Function and Pathology (4 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers), Peptidase Inhibition and Analysis (2 papers), Coenzyme Q10 studies and effects (2 papers), Click Chemistry and Applications (2 papers), Genomics and Chromatin Dynamics (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Aging (118 citations), Geriatrics and Gerontology (52 citations), Molecular Biology (883 citations), Cell Biology (122 citations) and Cancer Research (81 citations). Beverley M. Dancy has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Philip A. Cole, Meredith B. Metzger, Susan Michaelis, Margaret M. Sedensky, Rashmi Kamble, Helen Michels, Laurent Mouchiroud, Celia J. A. Morgan, Johan Auwerx and Mandy Koopman. Their work appears in journals such as Journal of the American Chemical Society, Chemical Reviews, Frontiers in bioscience, Molecular & Cellular Proteomics and ChemBioChem.
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.