Matthew R. Dreher
- Biomaterials top 0.2%
- Nanoparticle-Based Drug Delivery 15
- Hepatology top 1%
- Hepatocellular Carcinoma Treatment and Prognosis 29
- Molecular Medicine top 2%
- Biomedical Engineering top 0.5%
- Ultrasound and Hyperthermia Applications 14
- Nanoplatforms for cancer theranostics 12
- Cancer Research top 2%
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- MRI in cancer diagnosis 11
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- Connective tissue disorders research 9
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- Medical Imaging and Pathology Studies 9
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- Advanced Radiotherapy Techniques 8
- Co-authors
- Ashutosh ChilkotiMark W. DewhirstBradford J. WoodWenge LiuDan E. MeyerCharles R. MichelichFan YuanAndrew L. Lewis
- Journals
- Journal of the American Chemical Society (1 paper)Journal of Clinical Oncology (1 paper)Nano Letters (1 paper)
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Matthew R. Dreher
86 papers receiving 6.2k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Biomaterials 2.4k
- Hepatology 794
- Molecular Medicine 287
- Biomedical Engineering 2.5k
- Cancer Research 652
Countries citing papers authored by Matthew R. Dreher
This map shows the geographic impact of Matthew R. Dreher'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 Matthew R. Dreher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew R. Dreher more than expected).
Fields of papers citing papers by Matthew R. Dreher
This network shows the impact of papers produced by Matthew R. Dreher. 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 Matthew R. Dreher. The network helps show where Matthew R. Dreher may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Matthew R. Dreher, 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 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 4 | |
| 4 | 2021 | 8 | |
| 5 | 2021 | 31 | |
| 6 | 2020 | 3 | |
| 7 | 2019 | 44 | |
| 8 | 2016 | 42 | |
| 9 | 2015 | 42 | |
| 10 | 2015 | 18 | |
| 11 | 2013 | 57 | |
| 12 | 2012 | 375 | |
| 13 | 2011 | 137 | |
| 14 | 2010 | 92 | |
| 15 | 2009 | 146 | |
| 16 | 2008 | 55 | |
| 17 | 2007 | 123 | |
| 18 | Tumor Vascular Permeability, Accumulation, and Penetration of Macromolecular Drug Carriersbreakdown → | 2006 | 743 |
| 19 | 2006 | 106 | |
| 20 | 2006 | 126 |
About Matthew R. Dreher
Matthew R. Dreher is a scholar working on Hepatology, Biomaterials and Radiology, Nuclear Medicine and Imaging, having authored 87 papers that have together received 6.3k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (29 papers), Nanoparticle-Based Drug Delivery (15 papers), Ultrasound and Hyperthermia Applications (14 papers), Nanoplatforms for cancer theranostics (12 papers), MRI in cancer diagnosis (11 papers), Connective tissue disorders research (9 papers), Medical Imaging and Pathology Studies (9 papers) and Advanced Radiotherapy Techniques (8 papers). The work is most often cited by research in Biomaterials (2.4k citations), Hepatology (794 citations) and Molecular Medicine (287 citations). Matthew R. Dreher has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Ashutosh Chilkoti, Mark W. Dewhirst, Bradford J. Wood, Wenge Liu, Dan E. Meyer, Charles R. Michelich, Fan Yuan, Andrew L. Lewis, Dražen Raucher and Andrew J. Simnick. Their work appears in journals such as Journal of the American Chemical Society, Journal of Clinical Oncology and Nano Letters.
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.