Philip P. Stapleton
Impact in
- Cell Biology top 5%
- Aldose Reductase and Taurine
- Immunology top 10%
- Immune Response and Inflammation
Papers in
- Cell Biology 12
- Aldose Reductase and Taurine 12
- Pharmacology 11
- Inflammatory mediators and NSAID effects 10
- Co-authors
- J.M. Daly (21 shared papers)H. P. Redmond (8 shared papers)Juan Mestre (12 shared papers)Peter J. Mackrell (7 shared papers)David Bouchier–Hayes (2 shared papers)Paul Neary (1 shared paper)Bhaskar Dasgupta (4 shared papers)Faidra Laskou (2 shared papers)
- Journals
- Surgery (6 papers)Journal of Surgical Research (6 papers)Cellular Immunology (2 papers)Nutrition (2 papers)Shock (2 papers)
- Partner nations
- United StatesIrelandUnited Kingdom
In The Last Decade
Philip P. Stapleton
38 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 118
- Cell Biology 317
- Immunology 259
- Pharmacology 203
- Behavioral Neuroscience 40
- Biochemistry 78
Countries citing papers authored by Philip P. Stapleton
This map shows the geographic impact of Philip P. Stapleton'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 P. Stapleton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip P. Stapleton more than expected).
Fields of papers citing papers by Philip P. Stapleton
This network shows the impact of papers produced by Philip P. Stapleton. 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 P. Stapleton. The network helps show where Philip P. Stapleton may publish in the future.
Co-authors
The 25 scholars most cited alongside Philip P. Stapleton, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 232 | |
| 2 | 1998 | 195 | |
| 3 | 2001 | 134 | |
| 4 | 1997 | 104 | |
| 5 | 2005 | 100 | |
| 6 | 1998 | 82 | |
| 7 | 2001 | 74 | |
| 8 | 2000 | 66 | |
| 9 | 2004 | 64 | |
| 10 | 1997 | 44 | |
| 11 | 2001 | 42 | |
| 12 | 2001 | 42 | |
| 13 | 1991 | 39 | |
| 14 | 2003 | 37 | |
| 15 | 2007 | 36 | |
| 16 | 2001 | 36 | |
| 17 | 2004 | 31 | |
| 18 | 2001 | 30 | |
| 19 | 2000 | 28 | |
| 20 | 1997 | 26 |
About Philip P. Stapleton
Philip P. Stapleton is a scholar working on Cell Biology, Pharmacology, Immunology, Pediatrics, Perinatology and Child Health and Physiology, having authored 38 papers that have together received 1.7k indexed citations. Recurring topics across this work include Aldose Reductase and Taurine (12 papers), Inflammatory mediators and NSAID effects (10 papers), Prenatal Substance Exposure Effects (7 papers), Immune Response and Inflammation (4 papers), Estrogen and related hormone effects (3 papers), NF-κB Signaling Pathways (3 papers), Eicosanoids and Hypertension Pharmacology (2 papers) and Biochemical effects in animals (2 papers). The work is most often cited by research in Cell Biology (317 citations), Immunology (259 citations), Pharmacology (203 citations), Behavioral Neuroscience (40 citations) and Biochemistry (78 citations). Philip P. Stapleton has collaborated with scholars based in United States, Ireland and United Kingdom. Frequent co-authors include J.M. Daly, H. P. Redmond, Juan Mestre, Peter J. Mackrell, David Bouchier–Hayes, Paul Neary, Bhaskar Dasgupta, Faidra Laskou, David E. Rivadeneira and M. Sheppard. Their work appears in journals such as Surgery, Journal of Surgical Research, Cellular Immunology, Nutrition and Shock.
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.