David A. Eavarone
Impact in
- Biomaterials top 2%
- Nanoparticle-Based Drug Delivery
- Pharmaceutical Science top 5%
- Advanced Drug Delivery Systems
Papers in
-
- Glycosylation and Glycoproteins Research 6
- Advanced biosensing and bioanalysis techniques 2
- RNA Interference and Gene Delivery 2
-
- Galectins and Cancer Biology 3
- Co-authors
- Shiladitya Sengupta (2 shared papers)Tanyel Kiziltepe (2 shared papers)Ram Sasisekharan (2 shared papers)Nicki Watson (1 shared paper)Ishan Capila (1 shared paper)Ganlin Zhao (1 shared paper)Ravi V. Bellamkonda (2 shared papers)Xiaojun Yu (1 shared paper)
- Journals
- Journal of Biomedical Materials Research (2 papers)Cancer Research (2 papers)mAbs (1 paper)Oncotarget (1 paper)Nature (1 paper)
- Partner nations
- United StatesNew Zealand
In The Last Decade
David A. Eavarone
10 papers receiving 960 citations
David A. Eavarone's Hit Papers
Peers
Comparison fields: 5 of 85
- Biomaterials 518
- Pharmaceutical Science 78
- Biomedical Engineering 420
- Molecular Biology 470
- Polymers and Plastics 56
Countries citing papers authored by David A. Eavarone
This map shows the geographic impact of David A. Eavarone'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 A. Eavarone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David A. Eavarone more than expected).
Fields of papers citing papers by David A. Eavarone
This network shows the impact of papers produced by David A. Eavarone. 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 A. Eavarone. The network helps show where David A. Eavarone may publish in the future.
Co-authors
The 25 scholars most cited alongside David A. Eavarone, 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 | Temporal targeting of tumour cells and neovasculature with a nanoscale delivery system Hit paper breakdown → | 2005 | 766 |
| 2 | 2000 | 91 | |
| 3 | 2017 | 52 | |
| 4 | 2018 | 30 | |
| 5 | 2009 | 20 | |
| 6 | 2018 | 19 | |
| 7 | 2000 | 6 | |
| 8 | 2017 | 2 | |
| 9 | 2018 | 1 | |
| 10 | 2015 | 1 |
About David A. Eavarone
David A. Eavarone is a scholar working on Molecular Biology, Immunology, Radiology, Nuclear Medicine and Imaging, Biotechnology and Biomaterials, having authored 10 papers that have together received 988 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (6 papers), Galectins and Cancer Biology (3 papers), Cancer Research and Treatments (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Advanced biosensing and bioanalysis techniques (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), RNA Interference and Gene Delivery (2 papers) and Nanoparticle-Based Drug Delivery (2 papers). The work is most often cited by research in Biomaterials (518 citations), Pharmaceutical Science (78 citations), Biomedical Engineering (420 citations), Molecular Biology (470 citations) and Polymers and Plastics (56 citations). David A. Eavarone has collaborated with scholars based in United States and New Zealand. Frequent co-authors include Shiladitya Sengupta, Tanyel Kiziltepe, Ram Sasisekharan, Nicki Watson, Ishan Capila, Ganlin Zhao, Ravi V. Bellamkonda, Xiaojun Yu, Jillian M. Prendergast and Bo R. Rueda. Their work appears in journals such as Journal of Biomedical Materials Research, Cancer Research, mAbs, Oncotarget and Nature.
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.