Peter Eirew
Impact in
- Oncology top 1%
- Cancer Cells and Metastasis
- Cancer-related Molecular Pathways
- Cancer Research top 2%
- Cancer Genomics and Diagnostics
Papers in
- Oncology 18
- Cancer Cells and Metastasis 13
- Cancer-related Molecular Pathways 2
- Pancreatic and Hepatic Oncology Research 2
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- Cancer Genomics and Diagnostics 10
- Co-authors
- Connie J. Eaves (16 shared papers)Julia Stingl (6 shared papers)François Vaillant (2 shared papers)Haiyan I. Li (1 shared paper)David Choi (1 shared paper)Mark Shackleton (1 shared paper)Samuel Aparício (9 shared papers)Afshin Raouf (6 shared papers)
- Journals
- Cancer Research (3 papers)Breast Cancer Research (2 papers)Journal of Clinical Oncology (2 papers)Cell stem cell (1 paper)Nature Protocols (1 paper)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Peter Eirew
27 papers receiving 2.6k citations
Peter Eirew's Hit Papers
Peers
Comparison fields: 5 of 96
- Oncology 1.7k
- Cancer Research 653
- Molecular Biology 1.5k
- Genetics 155
- Genetics 348
Countries citing papers authored by Peter Eirew
This map shows the geographic impact of Peter Eirew'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 Peter Eirew with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Eirew more than expected).
Fields of papers citing papers by Peter Eirew
This network shows the impact of papers produced by Peter Eirew. 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 Peter Eirew. The network helps show where Peter Eirew may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Eirew, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Purification and unique properties of mammary epithelial stem cells Hit paper breakdown → | 2006 | 1265 |
| 2 | 2008 | 258 | |
| 3 | 2012 | 231 | |
| 4 | 2017 | 137 | |
| 5 | 2008 | 99 | |
| 6 | 2014 | 82 | |
| 7 | 2014 | 81 | |
| 8 | 2009 | 81 | |
| 9 | 2006 | 68 | |
| 10 | 2011 | 66 | |
| 11 | 2014 | 52 | |
| 12 | 2013 | 50 | |
| 13 | 2013 | 47 | |
| 14 | 2010 | 42 | |
| 15 | 2009 | 27 | |
| 16 | 2010 | 27 | |
| 17 | 2014 | 18 | |
| 18 | 2017 | 18 | |
| 19 | 2015 | 15 | |
| 20 | 2017 | 12 |
About Peter Eirew
Peter Eirew is a scholar working on Oncology, Cancer Research, Molecular Biology, Genetics and Genetics, having authored 27 papers that have together received 2.7k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (13 papers), Cancer Genomics and Diagnostics (10 papers), Mesenchymal stem cell research (3 papers), Single-cell and spatial transcriptomics (2 papers), Cancer-related Molecular Pathways (2 papers), RNA Research and Splicing (2 papers), Pancreatic and Hepatic Oncology Research (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Oncology (1.7k citations), Cancer Research (653 citations), Molecular Biology (1.5k citations), Genetics (155 citations) and Genetics (348 citations). Peter Eirew has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Connie J. Eaves, Julia Stingl, François Vaillant, Haiyan I. Li, David Choi, Mark Shackleton, Samuel Aparício, Afshin Raouf, Joanne T. Emerman and Gulisa Turashvili. Their work appears in journals such as Cancer Research, Breast Cancer Research, Journal of Clinical Oncology, Cell stem cell 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.