Andrew J. Sawyer
- Biomaterials top 5%
- Nanoparticle-Based Drug Delivery 3
- Electrospun Nanofibers in Biomedical Applications 3
- Genetics top 10%
- Glioma Diagnosis and Treatment 3
- Pharmaceutical Science top 10%
- Rehabilitation top 10%
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- 3D Printing in Biomedical Research 4
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- T-cell and B-cell Immunology 4
- Immune cells in cancer 3
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- Tissue Engineering and Regenerative Medicine 3
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- Renal Diseases and Glomerulopathies 3
- Co-authors
- Themis R. KyriakidesW. Mark SaltzmanJoseph M. PiepmeierJennifer K. Saucier-SawyerS. E. TebbsT.S.J. ElliottWeiming TianConor P. Foley
- Journals
- Biomaterials (3 papers)Journal of the American Society of Nephrology (2 papers)Molecular Cancer Therapeutics (1 paper)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Andrew J. Sawyer
30 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 120
- Biomaterials 317
- Genetics 127
- Pharmaceutical Science 50
- Rehabilitation 56
- Neurology 63
Countries citing papers authored by Andrew J. Sawyer
This map shows the geographic impact of Andrew J. Sawyer'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 Andrew J. Sawyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew J. Sawyer more than expected).
Fields of papers citing papers by Andrew J. Sawyer
This network shows the impact of papers produced by Andrew J. Sawyer. 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 Andrew J. Sawyer. The network helps show where Andrew J. Sawyer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Andrew J. Sawyer, 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 | 2019 | 15 | |
| 2 | 2019 | 22 | |
| 3 | 2016 | 33 | |
| 4 | 2016 | 71 | |
| 5 | 2016 | 28 | |
| 6 | 2014 | 51 | |
| 7 | 2014 | 53 | |
| 8 | 2014 | 89 | |
| 9 | 2013 | 18 | |
| 10 | 2013 | 37 | |
| 11 | 2013 | 70 | |
| 12 | 2012 | 32 | |
| 13 | DEC205-DC targeted DNA vaccines to CX3CR1 and CCL2 are potent and limit macrophage migration. | 2012 | 7 |
| 14 | 2012 | 55 | |
| 15 | 2011 | 40 | |
| 16 | 2010 | 91 | |
| 17 | 2007 | 79 | |
| 18 | 2003 | 44 | |
| 19 | 1994 | 69 | |
| 20 | 1989 | 3 |
About Andrew J. Sawyer
Andrew J. Sawyer is a scholar working on Developmental Neuroscience, Biomaterials, Immunology, Nephrology and Genetics, having authored 30 papers that have together received 1.2k indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (4 papers), T-cell and B-cell Immunology (4 papers), Tissue Engineering and Regenerative Medicine (3 papers), Glioma Diagnosis and Treatment (3 papers), Renal Diseases and Glomerulopathies (3 papers), Nanoparticle-Based Drug Delivery (3 papers), Immune cells in cancer (3 papers) and Electrospun Nanofibers in Biomedical Applications (3 papers). The work is most often cited by research in Biomaterials (317 citations), Genetics (127 citations), Pharmaceutical Science (50 citations), Rehabilitation (56 citations) and Neurology (63 citations). Andrew J. Sawyer has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Themis R. Kyriakides, W. Mark Saltzman, Joseph M. Piepmeier, Jennifer K. Saucier-Sawyer, S. E. Tebbs, T.S.J. Elliott, Weiming Tian, Conor P. Foley, Keith B. Neeves and William L. Olbricht. Their work appears in journals such as Biomaterials, Journal of the American Society of Nephrology, Molecular Cancer Therapeutics, Scientific Reports and HIV Medicine.
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.