Philip S. Burton
- Molecular Biology top 5%
- Oncology top 2%
- Pharmaceutical Science top 0.2%
- Pediatrics, Perinatology and Child Health top 2%
- Organic Chemistry top 5%
- Co-authors
- Robert A. ConradiAllen R. HilgersNorman F.H. HoRonald T. BorchardtKenneth L. AudusCraig L. BarsuhnThomas J. VidmarThomas J. Raub
- Topics
- Drug Transport and Resistance Mechanisms (16 papers)Lipid Membrane Structure and Behavior (8 papers)Analytical Chemistry and Chromatography (6 papers)
- Journals
- Journal of the American Chemical SocietyAdvanced Drug Delivery ReviewsBiochemical and Biophysical Research Communications
- 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
- Molecular Biology 1.5k
- Oncology 1.4k
- Pharmaceutical Science 925
- Pediatrics, Perinatology and Child Health 411
- Organic Chemistry 407
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 of co-authors of Philip S. Burton
This figure shows the co-authorship network connecting the top 25 collaborators of Philip S. Burton. A scholar is included among the top collaborators of Philip S. Burton based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Philip S. Burton. Philip S. Burton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 9 | |
| 3 | 25 | |
| 4 | 5 | |
| 5 | 23 | |
| 6 | 67 | |
| 7 | 15 | |
| 8 | 13 | |
| 9 | 44 | |
| 10 | 9 | |
| 11 | 28 | |
| 12 | 239 | |
| 13 | 137 | |
| 14 | 129 | |
| 15 | 31 | |
| 16 | 14 | |
| 17 | 172 | |
| 18 | 40 | |
| 19 | Caco-2 Cell Monolayers as a Model for Drug Transport Across the Intestinal Mucosabreakdown → | 506 |
| 20 | 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) and Analytical Chemistry and Chromatography (6 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.