Peter D. Eirew
Impact in
- Cancer Research top 1%
- Cancer Genomics and Diagnostics
- Oncology top 1%
- Cancer Cells and Metastasis
- Cancer-related Molecular Pathways
Papers in
-
- Cancer Genomics and Diagnostics 12
- Oncology 17
- Cancer Cells and Metastasis 12
- Cytokine Signaling Pathways and Interactions 2
- Co-authors
- Connie J. Eaves (16 shared papers)Julia Stingl (6 shared papers)François Vaillant (2 shared papers)Mark J. Shackleton (1 shared paper)David Choi (1 shared paper)Haiyan I. Li (1 shared paper)Samuel A. J. R. Aparicio (7 shared papers)Afshin Raouf (6 shared papers)
- Journals
- Nature (4 papers)Cell (2 papers)Breast Cancer Research (2 papers)Genome biology (2 papers)Clinical Cancer Research (2 papers)
- Partner nations
- CanadaUnited KingdomUnited States
In The Last Decade
Peter D. Eirew
31 papers receiving 4.2k citations
Peter D. Eirew's Hit Papers
Peers
Comparison fields: 5 of 117
- Cancer Research 1.4k
- Oncology 2.3k
- Molecular Biology 2.4k
- Genetics 200
- Biophysics 112
Countries citing papers authored by Peter D. Eirew
This map shows the geographic impact of Peter D. 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 D. 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 D. Eirew more than expected).
Fields of papers citing papers by Peter D. Eirew
This network shows the impact of papers produced by Peter D. 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 D. Eirew. The network helps show where Peter D. Eirew may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter D. 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 31 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 | 1281 |
| 2 | Dynamics of genomic clones in breast cancer patient xenografts at single-cell resolution Hit paper breakdown → | 2014 | 492 |
| 3 | 2016 | 358 | |
| 4 | 2008 | 270 | |
| 5 | 2012 | 239 | |
| 6 | 2019 | 189 | |
| 7 | 2019 | 157 | |
| 8 | 2017 | 147 | |
| 9 | 2017 | 143 | |
| 10 | 2008 | 101 | |
| 11 | 2014 | 87 | |
| 12 | 2021 | 87 | |
| 13 | 2014 | 85 | |
| 14 | 2009 | 83 | |
| 15 | 2022 | 79 | |
| 16 | 2006 | 69 | |
| 17 | 2011 | 69 | |
| 18 | 2014 | 54 | |
| 19 | 2013 | 52 | |
| 20 | 2013 | 46 |
About Peter D. Eirew
Peter D. Eirew is a scholar working on Cancer Research, Oncology, Molecular Biology, Genetics and Genetics, having authored 31 papers that have together received 4.3k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (12 papers), Cancer Cells and Metastasis (12 papers), Single-cell and spatial transcriptomics (9 papers), Genomics and Phylogenetic Studies (3 papers), Evolution and Genetic Dynamics (3 papers), Mesenchymal stem cell research (3 papers), Epigenetics and DNA Methylation (2 papers) and Cytokine Signaling Pathways and Interactions (2 papers). The work is most often cited by research in Cancer Research (1.4k citations), Oncology (2.3k citations), Molecular Biology (2.4k citations), Genetics (200 citations) and Biophysics (112 citations). Peter D. Eirew has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include Connie J. Eaves, Julia Stingl, François Vaillant, Mark J. Shackleton, David Choi, Haiyan I. Li, Samuel A. J. R. Aparicio, Afshin Raouf, Joanne T. Emerman and Gulisa Turashvili. Their work appears in journals such as Nature, Cell, Breast Cancer Research, Genome biology and Clinical Cancer Research.
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.