Dan Strumpf
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- Cancer Genomics and Diagnostics
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- Lung Cancer Treatments and Mutations
- Ferroptosis and cancer prognosis
- Lung Cancer Diagnosis and Treatment
Papers in
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- RNA modifications and cancer 3
- Gene expression and cancer classification 3
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- Lung Cancer Treatments and Mutations 3
- Lung Cancer Diagnosis and Treatment 1
- Co-authors
- Ming‐Sound Tsao (11 shared papers)Igor Jurišica (11 shared papers)Chang‐Qi Zhu (7 shared papers)Frances A. Shepherd (9 shared papers)Melania Pintilie (6 shared papers)Ni Liu (4 shared papers)Sandy D. Der (3 shared papers)Sandy Der (3 shared papers)
- Journals
- Journal of Clinical Oncology (3 papers)Proceedings of the National Academy of Sciences (2 papers)Clinical Lung Cancer (1 paper)Journal of Thoracic Oncology (1 paper)Journal of Proteome Research (1 paper)
- Partner nations
- CanadaBulgariaUnited Kingdom
In The Last Decade
Dan Strumpf
11 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 72
- Cancer Research 470
- Pulmonary and Respiratory Medicine 592
- Oncology 432
- Molecular Biology 734
- Radiology, Nuclear Medicine and Imaging 102
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 | 350 | |
| 2 | 2011 | 293 | |
| 3 | 2013 | 236 | |
| 4 | 2007 | 189 | |
| 5 | 2008 | 48 | |
| 6 | 2009 | 44 | |
| 7 | 2010 | 33 | |
| 8 | 2010 | 23 | |
| 9 | 2010 | 23 | |
| 10 | 2008 | 14 | |
| 11 | 2012 | 1 |
About Dan Strumpf
Dan Strumpf is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research, Surgery and Oncology, having authored 11 papers that have together received 1.3k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (3 papers), RNA modifications and cancer (3 papers), Cancer-related molecular mechanisms research (3 papers), Gene expression and cancer classification (3 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Colorectal Cancer Treatments and Studies (1 paper) and Lung Cancer Diagnosis and Treatment (1 paper). The work is most often cited by research in Cancer Research (470 citations), Pulmonary and Respiratory Medicine (592 citations), Oncology (432 citations), Molecular Biology (734 citations) and Radiology, Nuclear Medicine and Imaging (102 citations). Dan Strumpf has collaborated with scholars based in Canada, Bulgaria and United Kingdom. Frequent co-authors include Ming‐Sound Tsao, Igor Jurišica, Chang‐Qi Zhu, Frances A. Shepherd, Melania Pintilie, Ni Liu, Sandy D. Der, Sandy Der, Jenna Sykes and Lisa Leung. Their work appears in journals such as Journal of Clinical Oncology, Proceedings of the National Academy of Sciences, Clinical Lung Cancer, Journal of Thoracic Oncology and Journal of Proteome 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.