Dan Strumpf
Impact in
- Oncology top 2%
- Lung Cancer Research Studies
- Cancer Cells and Metastasis
- Cancer Immunotherapy and Biomarkers
- Cancer Research top 2%
- Breast Cancer Treatment Studies
Papers in
- Oncology 10
- Lung Cancer Research Studies 9
- Cancer Cells and Metastasis 1
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- Breast Cancer Treatment Studies 4
- Cancer Genomics and Diagnostics 2
- Co-authors
- Igor Jurišica (9 shared papers)Ming‐Sound Tsao (9 shared papers)Chang‐Qi Zhu (7 shared papers)Frances A. Shepherd (7 shared papers)Melania Pintilie (5 shared papers)Geoffrey Liu (5 shared papers)Sandy D. Der (3 shared papers)Sandy Der (3 shared papers)
- Journals
- Journal of Clinical Oncology (2 papers)Proceedings of the National Academy of Sciences (2 papers)Molecular Cancer (1 paper)Clinical Cancer Research (1 paper)Nature Medicine (1 paper)
- Partner nations
- CanadaUnited StatesChina
In The Last Decade
Dan Strumpf
11 papers receiving 2.3k citations
Dan Strumpf's Hit Papers
Peers
Comparison fields: 5 of 73
- Oncology 1.2k
- Cancer Research 558
- Pulmonary and Respiratory Medicine 741
- Molecular Biology 780
- Statistics and Probability 64
Countries citing papers authored by Dan Strumpf
This map shows the geographic impact of Dan Strumpf'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 Dan Strumpf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Strumpf more than expected).
Fields of papers citing papers by Dan Strumpf
This network shows the impact of papers produced by Dan Strumpf. 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 Dan Strumpf. The network helps show where Dan Strumpf may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Strumpf, 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 | Gene expression–based survival prediction in lung adenocarcinoma: a multi-site, blinded validation study Hit paper breakdown → | 2008 | 957 |
| 2 | 2010 | 382 | |
| 3 | 2011 | 311 | |
| 4 | 2013 | 262 | |
| 5 | 2007 | 202 | |
| 6 | 2016 | 77 | |
| 7 | 2008 | 58 | |
| 8 | 2009 | 47 | |
| 9 | 2010 | 35 | |
| 10 | 2010 | 27 | |
| 11 | 2010 | 25 |
About Dan Strumpf
Dan Strumpf is a scholar working on Oncology, Cancer Research, Pulmonary and Respiratory Medicine, Molecular Biology and Spectroscopy, having authored 11 papers that have together received 2.4k indexed citations. Recurring topics across this work include Lung Cancer Research Studies (9 papers), Gene expression and cancer classification (4 papers), Breast Cancer Treatment Studies (4 papers), Lung Cancer Treatments and Mutations (2 papers), Cancer Genomics and Diagnostics (2 papers), Lung Cancer Diagnosis and Treatment (1 paper), TGF-β signaling in diseases (1 paper) and Cancer Cells and Metastasis (1 paper). The work is most often cited by research in Oncology (1.2k citations), Cancer Research (558 citations), Pulmonary and Respiratory Medicine (741 citations), Molecular Biology (780 citations) and Statistics and Probability (64 citations). Dan Strumpf has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Igor Jurišica, Ming‐Sound Tsao, Chang‐Qi Zhu, Frances A. Shepherd, Melania Pintilie, Geoffrey Liu, Sandy D. Der, Sandy Der, Jenna R. Sykes and Matthew Meyerson. Their work appears in journals such as Journal of Clinical Oncology, Proceedings of the National Academy of Sciences, Molecular Cancer, Clinical Cancer Research and Nature Medicine.
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.