David A. Eavarone
Impact in
- Biomaterials top 2%
- Nanoparticle-Based Drug Delivery
- Pharmaceutical Science top 5%
- Advanced Drug Delivery Systems
Papers in
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- Cancer Research and Treatments 2
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- Galectins and Cancer Biology 3
- Co-authors
- Tanyel Kiziltepe (2 shared papers)Shiladitya Sengupta (2 shared papers)Ram Sasisekharan (2 shared papers)Ganlin Zhao (1 shared paper)Ishan Capila (1 shared paper)Nicki Watson (1 shared paper)Ravi V. Bellamkonda (2 shared papers)Xiaojun Yu (1 shared paper)
- Journals
- Journal of Biomedical Materials Research (2 papers)Nature (1 paper)PLoS ONE (1 paper)Oncotarget (1 paper)Gynecologic Oncology (1 paper)
- Partner nations
- United StatesNew Zealand
In The Last Decade
David A. Eavarone
8 papers receiving 1.0k citations
David A. Eavarone's Hit Papers
Peers
Comparison fields: 5 of 84
- Biomaterials 559
- Pharmaceutical Science 87
- Biomedical Engineering 450
- Molecular Biology 502
- Polymers and Plastics 61
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 | 849 |
| 2 | 2000 | 102 | |
| 3 | 2017 | 63 | |
| 4 | 2018 | 33 | |
| 5 | 2018 | 25 | |
| 6 | 2009 | 22 | |
| 7 | 2000 | 7 | |
| 8 | 2015 | 1 |
About David A. Eavarone
David A. Eavarone is a scholar working on Biotechnology, Immunology, Biomaterials, Cell Biology and Molecular Biology, having authored 8 papers that have together received 1.1k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (4 papers), Galectins and Cancer Biology (3 papers), Cancer Research and Treatments (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Nanoparticle-Based Drug Delivery (2 papers), Advanced biosensing and bioanalysis techniques (2 papers), RNA Interference and Gene Delivery (2 papers) and Microtubule and mitosis dynamics (1 paper). The work is most often cited by research in Biomaterials (559 citations), Pharmaceutical Science (87 citations), Biomedical Engineering (450 citations), Molecular Biology (502 citations) and Polymers and Plastics (61 citations). David A. Eavarone has collaborated with scholars based in United States and New Zealand. Frequent co-authors include Tanyel Kiziltepe, Shiladitya Sengupta, Ram Sasisekharan, Ganlin Zhao, Ishan Capila, Nicki Watson, Ravi V. Bellamkonda, Xiaojun Yu, Jillian M. Prendergast and Bo R. Rueda. Their work appears in journals such as Journal of Biomedical Materials Research, Nature, PLoS ONE, Oncotarget and Gynecologic Oncology.
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.