Jon Roffey
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
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- Hippo pathway signaling and YAP/TAZ
- Microtubule and mitosis dynamics
- Cellular Mechanics and Interactions
Papers in
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- Protein Kinase Regulation and GTPase Signaling 3
- PI3K/AKT/mTOR signaling in cancer 2
- Protein Degradation and Inhibitors 1
- Phosphodiesterase function and regulation 1
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- Telomeres, Telomerase, and Senescence 5
- Co-authors
- Carine Rossé (3 shared papers)Peter J. Parker (3 shared papers)Mark Linch (3 shared papers)Neil Q. McDonald (2 shared papers)Andrew Hibbert (1 shared paper)Claire J. Cairney (5 shared papers)W. Nicol Keith (5 shared papers)Alan Bilsland (5 shared papers)
- Journals
- PLoS ONE (1 paper)Molecular Cancer Therapeutics (1 paper)SLAS DISCOVERY (1 paper)PLoS Computational Biology (1 paper)Carcinogenesis (1 paper)
- Partner nations
- United KingdomAustraliaItaly
In The Last Decade
Jon Roffey
11 papers receiving 398 citations
Peers
Comparison fields: 5 of 69
- Aging 52
- Cell Biology 100
- Molecular Biology 266
- Physiology 73
- Geriatrics and Gerontology 7
Countries citing papers authored by Jon Roffey
This map shows the geographic impact of Jon Roffey'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 Jon Roffey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jon Roffey more than expected).
Fields of papers citing papers by Jon Roffey
This network shows the impact of papers produced by Jon Roffey. 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 Jon Roffey. The network helps show where Jon Roffey may publish in the future.
Co-authors
The 25 scholars most cited alongside Jon Roffey, 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 | 2017 | 116 | |
| 2 | 2009 | 87 | |
| 3 | 2013 | 48 | |
| 4 | 2012 | 46 | |
| 5 | 2009 | 30 | |
| 6 | 2010 | 24 | |
| 7 | 2013 | 22 | |
| 8 | 2015 | 14 | |
| 9 | 2014 | 11 | |
| 10 | 2019 | 4 | |
| 11 | 2011 | 1 |
About Jon Roffey
Jon Roffey is a scholar working on Molecular Biology, Physiology, Organic Chemistry, Aging and Geriatrics and Gerontology, having authored 11 papers that have together received 403 indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (5 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Click Chemistry and Applications (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper), Protein Degradation and Inhibitors (1 paper) and Phosphodiesterase function and regulation (1 paper). The work is most often cited by research in Aging (52 citations), Cell Biology (100 citations), Molecular Biology (266 citations), Physiology (73 citations) and Geriatrics and Gerontology (7 citations). Jon Roffey has collaborated with scholars based in United Kingdom, Australia and Italy. Frequent co-authors include Carine Rossé, Peter J. Parker, Mark Linch, Neil Q. McDonald, Andrew Hibbert, Claire J. Cairney, W. Nicol Keith, Alan Bilsland, Florent Péglion and Julie Ahringer. Their work appears in journals such as PLoS ONE, Molecular Cancer Therapeutics, SLAS DISCOVERY, PLoS Computational Biology and Carcinogenesis.
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.