David B. Darr
Impact in
- Oncology top 2%
- Cancer Cells and Metastasis
- Cancer-related Molecular Pathways
- Cancer Research top 5%
Papers in
- Oncology 18
- Cancer Cells and Metastasis 8
- Cancer Risks and Factors 4
- Cancer Treatment and Pharmacology 3
- PARP inhibition in cancer therapy 3
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- Melanoma and MAPK Pathways 4
- Protein Degradation and Inhibitors 3
- Co-authors
- Charles M. Perou (18 shared papers)Norman E. Sharpless (8 shared papers)Jerry Usary (7 shared papers)William C. Zamboni (9 shared papers)Kelly S. Clark (4 shared papers)Christin Elizabeth Burd (2 shared papers)Stephanie A. Montgomery (6 shared papers)Allison Mary Deal (1 shared paper)
- Journals
- Clinical Cancer Research (4 papers)PLoS ONE (3 papers)Cell (2 papers)Breast Cancer Research and Treatment (2 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
David B. Darr
43 papers receiving 4.0k citations
David B. Darr's Hit Papers
Peers
Comparison fields: 5 of 124
- Oncology 1.2k
- Cancer Research 542
- Aging 61
- Molecular Biology 2.1k
- Immunology 568
Countries citing papers authored by David B. Darr
This map shows the geographic impact of David B. Darr'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 David B. Darr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David B. Darr more than expected).
Fields of papers citing papers by David B. Darr
This network shows the impact of papers produced by David B. Darr. 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 David B. Darr. The network helps show where David B. Darr may publish in the future.
Co-authors
The 25 scholars most cited alongside David B. Darr, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Dynamic Reprogramming of the Kinome in Response to Targeted MEK Inhibition in Triple-Negative Breast Cancer Hit paper breakdown → | 2012 | 613 |
| 2 | 2013 | 346 | |
| 3 | 2015 | 256 | |
| 4 | 2018 | 229 | |
| 5 | 2012 | 228 | |
| 6 | 2011 | 175 | |
| 7 | 2020 | 175 | |
| 8 | 2014 | 171 | |
| 9 | 2016 | 170 | |
| 10 | 2017 | 135 | |
| 11 | 2016 | 129 | |
| 12 | 2012 | 118 | |
| 13 | 2017 | 114 | |
| 14 | 2016 | 103 | |
| 15 | 2015 | 89 | |
| 16 | 2014 | 88 | |
| 17 | 2013 | 83 | |
| 18 | 2011 | 78 | |
| 19 | 2014 | 65 | |
| 20 | 2015 | 64 |
About David B. Darr
David B. Darr is a scholar working on Oncology, Molecular Biology, Biomaterials, Immunology and Cancer Research, having authored 46 papers that have together received 4.0k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (8 papers), Nanoparticle-Based Drug Delivery (6 papers), Cancer Risks and Factors (4 papers), Melanoma and MAPK Pathways (4 papers), Protein Degradation and Inhibitors (3 papers), Cancer Treatment and Pharmacology (3 papers), PARP inhibition in cancer therapy (3 papers) and Cancer Research and Treatments (2 papers). The work is most often cited by research in Oncology (1.2k citations), Cancer Research (542 citations), Aging (61 citations), Molecular Biology (2.1k citations) and Immunology (568 citations). David B. Darr has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Charles M. Perou, Norman E. Sharpless, Jerry Usary, William C. Zamboni, Kelly S. Clark, Christin Elizabeth Burd, Stephanie A. Montgomery, Allison Mary Deal, Jessica A. Sorrentino and Diego H. Castrillón. Their work appears in journals such as Clinical Cancer Research, PLoS ONE, Cell, Breast Cancer Research and Treatment and Proceedings of the National Academy of Sciences.
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.