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
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- FOXO transcription factor regulation 4
- RNA Interference and Gene Delivery 2
- Epigenetics and DNA Methylation 2
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- Telomeres, Telomerase, and Senescence 7
- Co-authors
- Richard Allsopp (17 shared papers)Quan V. Vuong (5 shared papers)Juanita Mathews (3 shared papers)Bradley J. Willcox (6 shared papers)Yuanan Lu (1 shared paper)Hyeong Jun Ahn (1 shared paper)Gillian D. Bryant‐Greenwood (1 shared paper)Yingli Shi (1 shared paper)
- Journals
- PLoS ONE (3 papers)The Journals of Gerontology Series A (3 papers)Placenta (2 papers)Foods (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesAustraliaJapan
In The Last Decade
Philip Davy
24 papers receiving 487 citations
Peers
Comparison fields: 5 of 73
- Aging 59
- Obstetrics and Gynecology 77
- Physiology 158
- Pediatrics, Perinatology and Child Health 87
- Geriatrics and Gerontology 8
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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 112 | |
| 2 | 2013 | 62 | |
| 3 | 2016 | 46 | |
| 4 | 2016 | 42 | |
| 5 | 2010 | 34 | |
| 6 | 2016 | 32 | |
| 7 | 2016 | 29 | |
| 8 | 2020 | 23 | |
| 9 | 2011 | 21 | |
| 10 | 2020 | 16 | |
| 11 | 2018 | 13 | |
| 12 | 2022 | 10 | |
| 13 | 2015 | 9 | |
| 14 | 2022 | 8 | |
| 15 | 2009 | 7 | |
| 16 | 2018 | 6 | |
| 17 | 2021 | 6 | |
| 18 | 2013 | 4 | |
| 19 | 2013 | 3 | |
| 20 | 2010 | 2 |
About Philip Davy
Philip Davy is a scholar working on Molecular Biology, Physiology, Genetics, Nutrition and Dietetics and Pathology and Forensic Medicine, having authored 25 papers that have together received 492 indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (7 papers), Mesenchymal stem cell research (6 papers), FOXO transcription factor regulation (4 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers), Food composition and properties (4 papers), Phytoestrogen effects and research (4 papers), RNA Interference and Gene Delivery (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Aging (59 citations), Obstetrics and Gynecology (77 citations), Physiology (158 citations), Pediatrics, Perinatology and Child Health (87 citations) and Geriatrics and Gerontology (8 citations). Philip Davy has collaborated with scholars based in United States, Australia and Japan. Frequent co-authors include Richard Allsopp, Quan V. Vuong, Juanita Mathews, Bradley J. Willcox, Yuanan Lu, Hyeong Jun Ahn, Gillian D. Bryant‐Greenwood, Yingli Shi, Wen Kang and Randi Chen. Their work appears in journals such as PLoS ONE, The Journals of Gerontology Series A, Placenta, Foods and Proceedings of the National Academy of Sciences.
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.