Tony McBryan
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
- Physiology top 5%
- Telomeres, Telomerase, and Senescence
Papers in
- Aging 1
- Co-authors
- Peter D. AdamsTaranjit SinghDavid M. NelsonGreg DonahueParisha P. ShahHazel A. CruickshanksJohn van TuynShelley L. Berger
- Journals
- Genome biology (2 papers)iScience (1 paper)Investigational New Drugs (1 paper)Cell Division (1 paper)Cell Reports (1 paper)
- Partner nations
- United KingdomUnited StatesNetherlands
In The Last Decade
Tony McBryan
19 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 95
- Aging 131
- Physiology 476
- Molecular Biology 1.1k
- Cancer Research 150
- Immunology 157
Countries citing papers authored by Tony McBryan
This map shows the geographic impact of Tony McBryan'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 Tony McBryan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tony McBryan more than expected).
Fields of papers citing papers by Tony McBryan
This network shows the impact of papers produced by Tony McBryan. 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 Tony McBryan. The network helps show where Tony McBryan may publish in the future.
Co-authors
The 25 scholars most cited alongside Tony McBryan, 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 | 2020 | 6 | |
| 2 | 2017 | 130 | |
| 3 | 2017 | 29 | |
| 4 | 2014 | 47 | |
| 5 | 2014 | 39 | |
| 6 | 2014 | 51 | |
| 7 | HIRA orchestrates a non-canonical dynamic chromatin landscape in senescence and is required for suppression of neoplasia | 2014 | 0 |
| 8 | 2014 | 51 | |
| 9 | 2013 | 375 | |
| 10 | 2013 | 104 | |
| 11 | 2013 | 251 | |
| 12 | 2013 | 11 | |
| 13 | 2013 | 47 | |
| 14 | 2012 | 15 | |
| 15 | 2011 | 160 | |
| 16 | 2011 | 74 | |
| 17 | 2010 | 53 | |
| 18 | 2008 | 14 | |
| 19 | A Scalable Home Care System Infrastructure Supporting Domiciliary Care | 2007 | 2 |
| 20 | Audio reminders in the home environment | 2007 | 17 |
About Tony McBryan
Tony McBryan is a scholar working on Aging, Geriatrics and Gerontology, Molecular Biology, Physiology and Human-Computer Interaction, having authored 20 papers that have together received 1.5k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (6 papers), Genomics and Chromatin Dynamics (6 papers), Telomeres, Telomerase, and Senescence (5 papers), RNA Research and Splicing (3 papers), melanin and skin pigmentation (2 papers), RNA modifications and cancer (2 papers), Genetics and Neurodevelopmental Disorders (2 papers) and Histone Deacetylase Inhibitors Research (2 papers). The work is most often cited by research in Aging (131 citations), Physiology (476 citations), Molecular Biology (1.1k citations), Cancer Research (150 citations) and Immunology (157 citations). Tony McBryan has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Peter D. Adams, Taranjit Singh, David M. Nelson, Greg Donahue, Parisha P. Shah, Hazel A. Cruickshanks, John van Tuyn, Shelley L. Berger, Gabriel Otte and Varun Aggarwala. Their work appears in journals such as Genome biology, iScience, Investigational New Drugs, Cell Division and Cell Reports.
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.