David B. Darr
Impact in
Papers in
-
- Melanoma and MAPK Pathways 3
- Oncology 23
- Cancer Cells and Metastasis 6
- Cancer-related Molecular Pathways 6
- Cancer Treatment and Pharmacology 4
- Cancer Risks and Factors 4
- Co-authors
- Charles M. Perou (19 shared papers)Norman E. Sharpless (10 shared papers)Jerry Usary (7 shared papers)William C. Zamboni (10 shared papers)Kelly S. Clark (5 shared papers)Christin E. Burd (2 shared papers)Stephanie A. Montgomery (7 shared papers)David Beach (1 shared paper)
- Journals
- Cancer Research (11 papers)Clinical Cancer Research (3 papers)PLoS ONE (3 papers)Proceedings of the National Academy of Sciences (2 papers)Molecular Cancer Therapeutics (2 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
David B. Darr
44 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 111
- Oncology 937
- Aging 53
- Cancer Research 426
- Biomaterials 336
- Immunology 470
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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 305 | |
| 2 | 2015 | 230 | |
| 3 | 2012 | 215 | |
| 4 | 2018 | 211 | |
| 5 | 2016 | 159 | |
| 6 | 2011 | 159 | |
| 7 | 2020 | 150 | |
| 8 | 2014 | 135 | |
| 9 | 2016 | 120 | |
| 10 | 2012 | 107 | |
| 11 | 2016 | 92 | |
| 12 | 2014 | 85 | |
| 13 | 2015 | 82 | |
| 14 | 2011 | 74 | |
| 15 | 2013 | 74 | |
| 16 | 2017 | 57 | |
| 17 | 2015 | 53 | |
| 18 | 2014 | 53 | |
| 19 | 2014 | 53 | |
| 20 | 2017 | 41 |
About David B. Darr
David B. Darr is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Biomedical Engineering and Biomaterials, having authored 49 papers that have together received 2.7k indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (6 papers), Cancer Cells and Metastasis (6 papers), Nanoparticle-Based Drug Delivery (6 papers), Cancer-related Molecular Pathways (6 papers), Cancer Treatment and Pharmacology (4 papers), Cancer Risks and Factors (4 papers), Melanoma and MAPK Pathways (3 papers) and Brain Metastases and Treatment (3 papers). The work is most often cited by research in Oncology (937 citations), Aging (53 citations), Cancer Research (426 citations), Biomaterials (336 citations) and Immunology (470 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 E. Burd, Stephanie A. Montgomery, David Beach, Janakiraman Krishnamurthy and Nabeel Bardeesy. Their work appears in journals such as Cancer Research, Clinical Cancer Research, PLoS ONE, Proceedings of the National Academy of Sciences and Molecular Cancer Therapeutics.
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.