David C. Blakey
Impact in
- Biomaterials top 1%
- Nanoparticle-Based Drug Delivery
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
Papers in
-
- Cancer, Hypoxia, and Metabolism 8
- MicroRNA in disease regulation 3
-
- Transgenic Plants and Applications 6
- Co-authors
- Simon T. BarryAlberto GabizónHiroshi MaedaOmid C. FarokhzadWilliam C. ZamboniEva M. Sevick‐MuracaRakesh K. JainPiotr Grodzinski
- Journals
- Cancer Research (3 papers)Molecular Cancer Therapeutics (3 papers)Molecular Therapy (3 papers)Neoplasia (2 papers)Clinical Cancer Research (2 papers)
- Partner nations
- United KingdomUnited StatesTaiwan
In The Last Decade
David C. Blakey
50 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Biomaterials 773
- Cancer Research 593
- Biotechnology 289
- Molecular Biology 1.9k
- Immunology 531
Countries citing papers authored by David C. Blakey
This map shows the geographic impact of David C. Blakey'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 C. Blakey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David C. Blakey more than expected).
Fields of papers citing papers by David C. Blakey
This network shows the impact of papers produced by David C. Blakey. 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 C. Blakey. The network helps show where David C. Blakey may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David C. Blakey, 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 | 2022 | 11 | |
| 2 | 2020 | 235 | |
| 3 | 2018 | 73 | |
| 4 | 2017 | 143 | |
| 5 | 2017 | 85 | |
| 6 | 2013 | 14 | |
| 7 | 2012 | 47 | |
| 8 | 2011 | 105 | |
| 9 | 2011 | 89 | |
| 10 | 2010 | 113 | |
| 11 | 2009 | 20 | |
| 12 | 2005 | 28 | |
| 13 | 2004 | 29 | |
| 14 | ZD6126: a novel vascular-targeting agent that causes selective destruction of tumor vasculature. | 2002 | 200 |
| 15 | Activity of a new vascular targeting agent, ZD6126, in pulmonary metastases by human lung adenocarcinoma in nude mice. | 2002 | 72 |
| 16 | 2002 | 21 | |
| 17 | 2002 | 52 | |
| 18 | 1999 | 2 | |
| 19 | 1997 | 17 | |
| 20 | 1996 | 0 |
About David C. Blakey
David C. Blakey is a scholar working on Cancer Research, Biotechnology, Oncology, Radiology, Nuclear Medicine and Imaging and Immunology, having authored 52 papers that have together received 3.6k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (11 papers), Angiogenesis and VEGF in Cancer (10 papers), Cancer, Hypoxia, and Metabolism (8 papers), Toxin Mechanisms and Immunotoxins (7 papers), Transgenic Plants and Applications (6 papers), HER2/EGFR in Cancer Research (4 papers), Glycosylation and Glycoproteins Research (3 papers) and MicroRNA in disease regulation (3 papers). The work is most often cited by research in Biomaterials (773 citations), Cancer Research (593 citations), Biotechnology (289 citations), Molecular Biology (1.9k citations) and Immunology (531 citations). David C. Blakey has collaborated with scholars based in United Kingdom, United States and Taiwan. Frequent co-authors include Simon T. Barry, Alberto Gabizón, Hiroshi Maeda, Omid C. Farokhzad, William C. Zamboni, Eva M. Sevick‐Muraca, Rakesh K. Jain, Piotr Grodzinski, Uma Prabhakar and Philip E. Thorpe. Their work appears in journals such as Cancer Research, Molecular Cancer Therapeutics, Molecular Therapy, Neoplasia and Clinical Cancer 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.