Philip Davy
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
- Obstetrics and Gynecology top 5%
- Pregnancy and preeclampsia studies
Papers in
-
- FOXO transcription factor regulation 5
- RNA Interference and Gene Delivery 2
- Physiology 10
- Telomeres, Telomerase, and Senescence 8
- Co-authors
- Richard Allsopp (18 shared papers)Quan V. Vuong (7 shared papers)Bradley J. Willcox (7 shared papers)Timothy A. Donlon (6 shared papers)Brian J. Morris (5 shared papers)D. Craig Willcox (4 shared papers)Juanita Mathews (3 shared papers)Hyeong Jun Ahn (1 shared paper)
- Journals
- The Journals of Gerontology Series A (3 papers)PLoS ONE (3 papers)Placenta (2 papers)Molecular Therapy — Nucleic Acids (1 paper)Future Foods (1 paper)
- Partner nations
- United StatesAustraliaJapan
In The Last Decade
Philip Davy
28 papers receiving 529 citations
Peers
Comparison fields: 5 of 79
- Aging 74
- Obstetrics and Gynecology 78
- Physiology 170
- Pediatrics, Perinatology and Child Health 96
- Geriatrics and Gerontology 9
Countries citing papers authored by Philip Davy
This map shows the geographic impact of Philip Davy'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 Davy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip Davy more than expected).
Fields of papers citing papers by Philip Davy
This network shows the impact of papers produced by Philip Davy. 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 Davy. The network helps show where Philip Davy may publish in the future.
Co-authors
The 25 scholars most cited alongside Philip Davy, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 116 | |
| 2 | 2013 | 66 | |
| 3 | 2016 | 52 | |
| 4 | 2016 | 43 | |
| 5 | 2010 | 37 | |
| 6 | 2016 | 32 | |
| 7 | 2016 | 29 | |
| 8 | 2020 | 23 | |
| 9 | 2011 | 22 | |
| 10 | 2018 | 19 | |
| 11 | 2020 | 16 | |
| 12 | 2018 | 13 | |
| 13 | 2022 | 10 | |
| 14 | 2015 | 9 | |
| 15 | 2009 | 9 | |
| 16 | 2022 | 8 | |
| 17 | 2018 | 6 | |
| 18 | 2021 | 6 | |
| 19 | 2013 | 5 | |
| 20 | 2010 | 3 |
About Philip Davy
Philip Davy is a scholar working on Molecular Biology, Physiology, Nutrition and Dietetics, Genetics and Aging, having authored 29 papers that have together received 538 indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (8 papers), Genetics, Aging, and Longevity in Model Organisms (6 papers), Mesenchymal stem cell research (6 papers), FOXO transcription factor regulation (5 papers), Food composition and properties (5 papers), Phytoestrogen effects and research (5 papers), Botanical Research and Applications (2 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Aging (74 citations), Obstetrics and Gynecology (78 citations), Physiology (170 citations), Pediatrics, Perinatology and Child Health (96 citations) and Geriatrics and Gerontology (9 citations). Philip Davy has collaborated with scholars based in United States, Australia and Japan. Frequent co-authors include Richard Allsopp, Quan V. Vuong, Bradley J. Willcox, Timothy A. Donlon, Brian J. Morris, D. Craig Willcox, Juanita Mathews, Hyeong Jun Ahn, Wen Kang and Yingli Shi. Their work appears in journals such as The Journals of Gerontology Series A, PLoS ONE, Placenta, Molecular Therapy — Nucleic Acids and Future Foods.
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.