Ryan Traynor
Impact in
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- TGF-β signaling in diseases
- Metabolism, Diabetes, and Cancer
- Ubiquitin and proteasome pathways
- Pluripotent Stem Cells Research
- Renal and related cancers
Papers in
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- Protein Kinase Regulation and GTPase Signaling 2
- Ubiquitin and proteasome pathways 2
- Kruppel-like factors research 1
- TGF-β signaling in diseases 1
- Protein Degradation and Inhibitors 1
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- Autophagy in Disease and Therapy 2
- Co-authors
- J. Vogt (1 shared paper)Gopal P. Sapkota (1 shared paper)Alan R. Prescott (1 shared paper)Xianming Deng (1 shared paper)Sara J. Buhrlage (1 shared paper)Hai‐Tsang Huang (1 shared paper)Nathanael S. Gray (2 shared papers)Sourav Banerjee (1 shared paper)
- Journals
- Cell Reports Methods (1 paper)Scientific Reports (1 paper)Cellular and Molecular Life Sciences (1 paper)Cellular Signalling (1 paper)Nature Protocols (1 paper)
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
Ryan Traynor
7 papers receiving 347 citations
Peers
Comparison fields: 5 of 69
- Molecular Biology 256
- Genetics 27
- Cell Biology 38
- Oncology 62
- Rheumatology 34
Countries citing papers authored by Ryan Traynor
This map shows the geographic impact of Ryan Traynor'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 Ryan Traynor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan Traynor more than expected).
Fields of papers citing papers by Ryan Traynor
This network shows the impact of papers produced by Ryan Traynor. 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 Ryan Traynor. The network helps show where Ryan Traynor may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryan Traynor, 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 | 2011 | 208 | |
| 2 | 2013 | 59 | |
| 3 | 2020 | 30 | |
| 4 | 2011 | 26 | |
| 5 | 2011 | 16 | |
| 6 | 2021 | 8 | |
| 7 | 2024 | 5 |
About Ryan Traynor
Ryan Traynor is a scholar working on Molecular Biology, Epidemiology, Genetics, Pathology and Forensic Medicine and Cellular and Molecular Neuroscience, having authored 7 papers that have together received 352 indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (2 papers), Ubiquitin and proteasome pathways (2 papers), Autophagy in Disease and Therapy (2 papers), interferon and immune responses (1 paper), Kruppel-like factors research (1 paper), Cytokine Signaling Pathways and Interactions (1 paper), TGF-β signaling in diseases (1 paper) and Protein Degradation and Inhibitors (1 paper). The work is most often cited by research in Molecular Biology (256 citations), Genetics (27 citations), Cell Biology (38 citations), Oncology (62 citations) and Rheumatology (34 citations). Ryan Traynor has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include J. Vogt, Gopal P. Sapkota, Alan R. Prescott, Xianming Deng, Sara J. Buhrlage, Hai‐Tsang Huang, Nathanael S. Gray, Sourav Banerjee, Wenjun Zhou and Dario R. Alessi. Their work appears in journals such as Cell Reports Methods, Scientific Reports, Cellular and Molecular Life Sciences, Cellular Signalling and Nature Protocols.
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.