Chad D. Brown
Impact in
- Pharmaceutical Science top 2%
- Drug Solubulity and Delivery Systems
- Advanced Drug Delivery Systems
- Biomaterials top 10%
- Electrospun Nanofibers in Biomedical Applications
- Nanocomposite Films for Food Packaging
Papers in
-
- Drug Solubulity and Delivery Systems 7
- Advanced Drug Delivery Systems 3
-
- Crystallization and Solubility Studies 3
- Co-authors
- Yongchao Su (5 shared papers)Allan S. Hoffman (3 shared papers)Wei Xu (1 shared paper)W. Peter Wuelfing (1 shared paper)Paul A. Harmon (1 shared paper)Chengbin Huang (3 shared papers)Cecilia M. Giachelli (1 shared paper)Benjamin L. Beckstead (1 shared paper)
- Journals
- Molecular Pharmaceutics (3 papers)International Journal of Pharmaceutics (2 papers)Journal of Biomaterials Science Polymer Edition (1 paper)European Journal of Pharmaceutics and Biopharmaceutics (1 paper)Powder Technology (1 paper)
- Partner nations
- United States
In The Last Decade
Chad D. Brown
12 papers receiving 400 citations
Peers
Comparison fields: 5 of 64
- Pharmaceutical Science 223
- Biomaterials 95
- Spectroscopy 83
- Fluid Flow and Transfer Processes 23
- Molecular Medicine 15
Countries citing papers authored by Chad D. Brown
This map shows the geographic impact of Chad D. Brown'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 Chad D. Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chad D. Brown more than expected).
Fields of papers citing papers by Chad D. Brown
This network shows the impact of papers produced by Chad D. Brown. 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 Chad D. Brown. The network helps show where Chad D. Brown may publish in the future.
Co-authors
The 25 scholars most cited alongside Chad D. Brown, 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 | 2016 | 93 | |
| 2 | 2019 | 64 | |
| 3 | 2003 | 61 | |
| 4 | 2016 | 53 | |
| 5 | 2001 | 40 | |
| 6 | 2016 | 31 | |
| 7 | 2016 | 27 | |
| 8 | 2020 | 14 | |
| 9 | 2020 | 9 | |
| 10 | 2005 | 7 | |
| 11 | 2021 | 6 | |
| 12 | 2021 | 2 |
About Chad D. Brown
Chad D. Brown is a scholar working on Pharmaceutical Science, Materials Chemistry, Molecular Biology, Spectroscopy and Mechanics of Materials, having authored 12 papers that have together received 407 indexed citations. Recurring topics across this work include Drug Solubulity and Delivery Systems (7 papers), Advanced Drug Delivery Systems (3 papers), Crystallization and Solubility Studies (3 papers), Electrospun Nanofibers in Biomedical Applications (2 papers), Protein purification and stability (2 papers), Muon and positron interactions and applications (2 papers), Advanced NMR Techniques and Applications (2 papers) and Polymer crystallization and properties (1 paper). The work is most often cited by research in Pharmaceutical Science (223 citations), Biomaterials (95 citations), Spectroscopy (83 citations), Fluid Flow and Transfer Processes (23 citations) and Molecular Medicine (15 citations). Chad D. Brown has collaborated with scholars based in United States. Frequent co-authors include Yongchao Su, Allan S. Hoffman, Wei Xu, W. Peter Wuelfing, Paul A. Harmon, Chengbin Huang, Cecilia M. Giachelli, Benjamin L. Beckstead, James C. DiNunzio and Jingtao Zhang. Their work appears in journals such as Molecular Pharmaceutics, International Journal of Pharmaceutics, Journal of Biomaterials Science Polymer Edition, European Journal of Pharmaceutics and Biopharmaceutics and Powder Technology.
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.