Philip S. Burton
- Pharmaceutical Science top 0.2%
- Advanced Drug Delivery Systems 6
- Drug Solubulity and Delivery Systems 4
- Oncology top 2%
- Drug Transport and Resistance Mechanisms 16
- Pharmacology top 1%
- Spectroscopy top 2%
- Analytical Chemistry and Chromatography 6
- Molecular Biology top 5%
- Lipid Membrane Structure and Behavior 8
- Protein Structure and Dynamics 4
- RNA Interference and Gene Delivery 4
-
- Surfactants and Colloidal Systems 4
- Co-authors
- Robert A. ConradiAllen R. HilgersNorman F.H. HoRonald T. BorchardtKenneth L. AudusCraig L. BarsuhnThomas J. VidmarThomas J. Raub
- Journals
- Journal of the American Chemical Society (1 paper)Advanced Drug Delivery Reviews (3 papers)Biochemical and Biophysical Research Communications (1 paper)
- Partner nations
- United StatesSwitzerlandItaly
In The Last Decade
Philip S. Burton
49 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Pharmaceutical Science 925
- Oncology 1.4k
- Pharmacology 308
- Spectroscopy 371
- Molecular Biology 1.5k
Countries citing papers authored by Philip S. Burton
This map shows the geographic impact of Philip S. Burton'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 Philip S. Burton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip S. Burton more than expected).
Fields of papers citing papers by Philip S. Burton
This network shows the impact of papers produced by Philip S. Burton. 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 Philip S. Burton. The network helps show where Philip S. Burton may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Philip S. Burton, 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 | 2 | |
| 2 | 2010 | 9 | |
| 3 | 2007 | 25 | |
| 4 | 2005 | 5 | |
| 5 | 2002 | 23 | |
| 6 | 2002 | 67 | |
| 7 | 2000 | 15 | |
| 8 | 2000 | 13 | |
| 9 | 1999 | 44 | |
| 10 | 1999 | 9 | |
| 11 | 1999 | 28 | |
| 12 | 1996 | 239 | |
| 13 | 1996 | 137 | |
| 14 | 1995 | 129 | |
| 15 | 1995 | 31 | |
| 16 | 1994 | 14 | |
| 17 | 1992 | 172 | |
| 18 | 1991 | 40 | |
| 19 | Caco-2 Cell Monolayers as a Model for Drug Transport Across the Intestinal Mucosabreakdown → | 1990 | 506 |
| 20 | 1988 | 79 |
About Philip S. Burton
Philip S. Burton is a scholar working on Pharmaceutical Science, General Psychology and Oncology, having authored 49 papers that have together received 3.5k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (16 papers), Lipid Membrane Structure and Behavior (8 papers), Analytical Chemistry and Chromatography (6 papers), Advanced Drug Delivery Systems (6 papers), Protein Structure and Dynamics (4 papers), Surfactants and Colloidal Systems (4 papers), Drug Solubulity and Delivery Systems (4 papers) and RNA Interference and Gene Delivery (4 papers). The work is most often cited by research in Pharmaceutical Science (925 citations), Oncology (1.4k citations) and Pharmacology (308 citations). Philip S. Burton has collaborated with scholars based in United States, Switzerland and Italy. Frequent co-authors include Robert A. Conradi, Allen R. Hilgers, Norman F.H. Ho, Ronald T. Borchardt, Kenneth L. Audus, Ronald T. Borchardt, Craig L. Barsuhn, Thomas J. Vidmar, Thomas J. Raub and Jay T. Goodwin. Their work appears in journals such as Journal of the American Chemical Society, Advanced Drug Delivery Reviews and Biochemical and Biophysical Research Communications.
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.