Dan Strumpf
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- Cancer Genomics and Diagnostics
-
- Lung Cancer Treatments and Mutations
- Lung Cancer Diagnosis and Treatment
- Ferroptosis and cancer prognosis
Papers in
-
- Gene expression and cancer classification 2
- Glycosylation and Glycoproteins Research 1
- Bioinformatics and Genomic Networks 1
- TGF-β signaling in diseases 1
- Oncology 3
- Cancer-related Molecular Pathways 1
- Co-authors
- Igor Jurišica (11 shared papers)Ming‐Sound Tsao (11 shared papers)Chang‐Qi Zhu (7 shared papers)Frances A. Shepherd (9 shared papers)Melania Pintilie (6 shared papers)Geoffrey Liu (5 shared papers)Sandy D. Der (3 shared papers)Sandy Der (3 shared papers)
In The Last Decade
Dan Strumpf
11 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 71
- Cancer Research 361
- Pulmonary and Respiratory Medicine 432
- Oncology 340
- Molecular Biology 554
- Immunology and Allergy 25
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 | 2010 | 361 | |
| 2 | 2011 | 305 | |
| 3 | 2013 | 243 | |
| 4 | 2007 | 198 | |
| 5 | 2008 | 54 | |
| 6 | 2009 | 48 | |
| 7 | 2010 | 33 | |
| 8 | 2010 | 26 | |
| 9 | 2010 | 24 | |
| 10 | 2008 | 15 | |
| 11 | 2012 | 1 |
About Dan Strumpf
Dan Strumpf is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Cancer Research and Surgery, having authored 11 papers that have together received 1.3k indexed citations. Recurring topics across this work include Gene expression and cancer classification (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Ferroptosis and cancer prognosis (1 paper), Glycosylation and Glycoproteins Research (1 paper), Cancer Genomics and Diagnostics (1 paper), Bioinformatics and Genomic Networks (1 paper), TGF-β signaling in diseases (1 paper) and Cancer-related Molecular Pathways (1 paper). The work is most often cited by research in Cancer Research (361 citations), Pulmonary and Respiratory Medicine (432 citations), Oncology (340 citations), Molecular Biology (554 citations) and Immunology and Allergy (25 citations). Dan Strumpf has collaborated with scholars based in Canada, Norway 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 Sykes and Roman K. Thomas. Their work appears in journals such as Journal of Clinical Oncology, Proceedings of the National Academy of Sciences, Molecular Cancer, Clinical Cancer Research and Clinical Lung Cancer.
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.