Ryan E. Davey
Impact in
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- Pluripotent Stem Cells Research
- CRISPR and Genetic Engineering
- Gene Regulatory Network Analysis
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- 3D Printing in Biomedical Research
Papers in
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- Pluripotent Stem Cells Research 5
- Gene Regulatory Network Analysis 4
- CRISPR and Genetic Engineering 3
- Viral Infectious Diseases and Gene Expression in Insects 2
- Single-cell and spatial transcriptomics 1
- Oncology 2
- Cytokine Signaling Pathways and Interactions 2
- Co-authors
- Peter W. Zandstra (7 shared papers)Kento Onishi (2 shared papers)Alborz Mahdavi (2 shared papers)F. Philipp Seib (1 shared paper)Katrin Salchert (1 shared paper)Sophia George (1 shared paper)Carsten Werner (1 shared paper)András Nagy (1 shared paper)
- Journals
- Nature Methods (1 paper)The FASEB Journal (1 paper)PLoS Computational Biology (1 paper)Cell stem cell (1 paper)Stem Cells (1 paper)
- Partner nations
- CanadaUnited StatesGermany
In The Last Decade
Ryan E. Davey
8 papers receiving 423 citations
Peers
Comparison fields: 5 of 66
- Molecular Biology 289
- Biomedical Engineering 170
- Cell Biology 55
- Biomaterials 39
- Biophysics 16
Countries citing papers authored by Ryan E. Davey
This map shows the geographic impact of Ryan E. Davey'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 E. Davey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan E. Davey more than expected).
Fields of papers citing papers by Ryan E. Davey
This network shows the impact of papers produced by Ryan E. Davey. 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 E. Davey. The network helps show where Ryan E. Davey may publish in the future.
Co-authors
The 23 scholars most cited alongside Ryan E. Davey, 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 | 2008 | 152 | |
| 2 | 2007 | 74 | |
| 3 | 2007 | 56 | |
| 4 | 2007 | 51 | |
| 5 | 2006 | 48 | |
| 6 | 2008 | 18 | |
| 7 | 2005 | 15 | |
| 8 | 2004 | 13 |
About Ryan E. Davey
Ryan E. Davey is a scholar working on Molecular Biology, Oncology, Cell Biology, Biophysics and Biomedical Engineering, having authored 8 papers that have together received 427 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (5 papers), Gene Regulatory Network Analysis (4 papers), CRISPR and Genetic Engineering (3 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Cytokine Signaling Pathways and Interactions (2 papers), 3D Printing in Biomedical Research (1 paper), Cell Image Analysis Techniques (1 paper) and Single-cell and spatial transcriptomics (1 paper). The work is most often cited by research in Molecular Biology (289 citations), Biomedical Engineering (170 citations), Cell Biology (55 citations), Biomaterials (39 citations) and Biophysics (16 citations). Ryan E. Davey has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Peter W. Zandstra, Kento Onishi, Alborz Mahdavi, F. Philipp Seib, Katrin Salchert, Sophia George, Carsten Werner, András Nagy, Martin Bornhäuser and Tetsuya S. Tanaka. Their work appears in journals such as Nature Methods, The FASEB Journal, PLoS Computational Biology, Cell stem cell and Stem Cells.
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.