Anna V. Moore
Impact in
- Biomaterials top 0.5%
- Nanoparticle-Based Drug Delivery
- Biophysics top 1%
Papers in
- Co-authors
- Zdravka O. Medarova (53 shared papers)Chongzhao Ran (17 shared papers)Guangping Dai (12 shared papers)Wellington N. Pham (5 shared papers)Ralph Weissleder (6 shared papers)Victoria Petkova (5 shared papers)Morteza Mahmoudi (4 shared papers)James P. Basilion (2 shared papers)
- Journals
- Molecular Imaging and Biology (10 papers)Diabetes (8 papers)International Journal of Cancer (5 papers)Scientific Reports (5 papers)Transplantation (4 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Anna V. Moore
120 papers receiving 7.4k citations
Anna V. Moore's Hit Papers
Peers
Comparison fields: 5 of 149
- Biomaterials 1.5k
- Biophysics 246
- Biomedical Engineering 1.8k
- Molecular Biology 2.6k
- Physiology 910
Countries citing papers authored by Anna V. Moore
This map shows the geographic impact of Anna V. Moore'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 Anna V. Moore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna V. Moore more than expected).
Fields of papers citing papers by Anna V. Moore
This network shows the impact of papers produced by Anna V. Moore. 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 Anna V. Moore. The network helps show where Anna V. Moore may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna V. Moore, 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 125 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | In vivo magnetic resonance imaging of transgene expression Hit paper breakdown → | 2000 | 685 |
| 2 | 2007 | 591 | |
| 3 | The protein corona from nanomedicine to environmental science Hit paper breakdown → | 2023 | 453 |
| 4 | 2009 | 439 | |
| 5 | 2016 | 429 | |
| 6 | 2013 | 309 | |
| 7 | 2010 | 267 | |
| 8 | 2005 | 222 | |
| 9 | 2015 | 198 | |
| 10 | 2004 | 192 | |
| 11 | 2012 | 167 | |
| 12 | 2007 | 160 | |
| 13 | 2006 | 149 | |
| 14 | 2010 | 142 | |
| 15 | 2001 | 130 | |
| 16 | 2017 | 117 | |
| 17 | 2005 | 104 | |
| 18 | 2021 | 104 | |
| 19 | 2010 | 99 | |
| 20 | 2014 | 94 |
About Anna V. Moore
Anna V. Moore is a scholar working on Genetics, Surgery, Cancer Research, Molecular Biology and Biomaterials, having authored 125 papers that have together received 7.6k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (33 papers), Diabetes and associated disorders (21 papers), RNA Interference and Gene Delivery (19 papers), Advanced biosensing and bioanalysis techniques (18 papers), MicroRNA in disease regulation (13 papers), Nanoparticle-Based Drug Delivery (11 papers), Diabetes Management and Research (10 papers) and Alzheimer's disease research and treatments (10 papers). The work is most often cited by research in Biomaterials (1.5k citations), Biophysics (246 citations), Biomedical Engineering (1.8k citations), Molecular Biology (2.6k citations) and Physiology (910 citations). Anna V. Moore has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Zdravka O. Medarova, Chongzhao Ran, Guangping Dai, Wellington N. Pham, Ralph Weissleder, Victoria Petkova, Morteza Mahmoudi, James P. Basilion, Christian T. Farrar and Mehmet Veysel Yigit. Their work appears in journals such as Molecular Imaging and Biology, Diabetes, International Journal of Cancer, Scientific Reports and Transplantation.
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.