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
- Advanced biosensing and bioanalysis techniques 1
- Protein Degradation and Inhibitors 1
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- Telomeres, Telomerase, and Senescence 5
- Co-authors
- Peter J. Parker (3 shared papers)Mark Linch (3 shared papers)Carine Rossé (3 shared papers)Neil Q. McDonald (2 shared papers)Andrew Hibbert (1 shared paper)Claire J. Cairney (5 shared papers)Alan Bilsland (5 shared papers)W. Nicol Keith (5 shared papers)
- Journals
- SLAS DISCOVERY (1 paper)Neoplasia (1 paper)Current Opinion in Cell Biology (1 paper)BMC Genomics (1 paper)PLoS Computational Biology (1 paper)
- Partner nations
- United KingdomAustraliaItaly
In The Last Decade
Jon Roffey
11 papers receiving 392 citations
Peers
Comparison fields: 5 of 73
- Aging 52
- Cell Biology 99
- Molecular Biology 273
- Physiology 77
- Oncology 56
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 | 114 | |
| 2 | 2009 | 86 | |
| 3 | 2013 | 48 | |
| 4 | 2012 | 44 | |
| 5 | 2009 | 29 | |
| 6 | 2010 | 24 | |
| 7 | 2013 | 22 | |
| 8 | 2015 | 13 | |
| 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 Pulmonary and Respiratory Medicine, having authored 11 papers that have together received 396 indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (5 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), Animal Genetics and Reproduction (1 paper), Protein Degradation and Inhibitors (1 paper) and Computational Drug Discovery Methods (1 paper). The work is most often cited by research in Aging (52 citations), Cell Biology (99 citations), Molecular Biology (273 citations), Physiology (77 citations) and Oncology (56 citations). Jon Roffey has collaborated with scholars based in United Kingdom, Australia and Italy. Frequent co-authors include Peter J. Parker, Mark Linch, Carine Rossé, Neil Q. McDonald, Andrew Hibbert, Claire J. Cairney, Alan Bilsland, W. Nicol Keith, Nathan W. Goehring and Lars Hubatsch. Their work appears in journals such as SLAS DISCOVERY, Neoplasia, Current Opinion in Cell Biology, BMC Genomics and PLoS Computational 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.