Philip Prescott
- Complementary and alternative medicine top 0.5%
- Oncology top 10%
- Pediatrics, Perinatology and Child Health top 5%
- Pulmonary and Respiratory Medicine top 10%
- Public Health, Environmental and Occupational Health top 10%
- Co-authors
- George LewithSam WattsSusan EardleyGeraldine LeydonLily LaiBrian BirchFelicity L. BishopGwyneth A. Sampson
- Topics
- Optimal Experimental Design Methods (16 papers)Advanced Multi-Objective Optimization Algorithms (8 papers)Complementary and Alternative Medicine Studies (7 papers)
- Partner nations
- United KingdomUnited StatesNetherlands
In The Last Decade
Philip Prescott
53 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Complementary and alternative medicine 437
- Oncology 424
- Pediatrics, Perinatology and Child Health 273
- Pulmonary and Respiratory Medicine 233
- Public Health, Environmental and Occupational Health 202
Countries citing papers authored by Philip Prescott
This map shows the geographic impact of Philip Prescott'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 Prescott with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip Prescott more than expected).
Fields of papers citing papers by Philip Prescott
This network shows the impact of papers produced by Philip Prescott. 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 Prescott. The network helps show where Philip Prescott may publish in the future.
Co-authorship network of co-authors of Philip Prescott
This figure shows the co-authorship network connecting the top 25 collaborators of Philip Prescott. A scholar is included among the top collaborators of Philip Prescott 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 Prescott. Philip Prescott is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 24 | |
| 2 | 155 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 2 | |
| 6 | Depression and anxiety in prostate cancer: a systematic review and meta-analysis of prevalence ratesbreakdown → | 375 |
| 7 | 8 | |
| 8 | 11 | |
| 9 | 0 | |
| 10 | 4 | |
| 11 | 13 | |
| 12 | 33 | |
| 13 | 72 | |
| 14 | 40 | |
| 15 | 6 | |
| 16 | 12 | |
| 17 | 5 | |
| 18 | 3 | |
| 19 | 7 | |
| 20 | 13 |
About Philip Prescott
Philip Prescott is a scholar working on Complementary and alternative medicine, Management Science and Operations Research and Computational Theory and Mathematics, having authored 54 papers that have together received 1.6k indexed citations. Recurring topics across this work include Optimal Experimental Design Methods (16 papers), Advanced Multi-Objective Optimization Algorithms (8 papers) and Complementary and Alternative Medicine Studies (7 papers). The work is most often cited by research in Complementary and alternative medicine (437 citations), Oncology (424 citations) and Pediatrics, Perinatology and Child Health (273 citations). Philip Prescott has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include George Lewith, Sam Watts, Susan Eardley, Geraldine Leydon, Lily Lai, Brian Birch, Felicity L. Bishop, Gwyneth A. Sampson, Jessica Mason and Erik von Elm. Their work appears in journals such as Technometrics, PEDIATRICS and Cochrane Database of Systematic Reviews.
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.