Patrizia D’Aquila
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
- Geriatrics and Gerontology top 5%
Papers in
-
- Epigenetics and DNA Methylation 20
- Mitochondrial Function and Pathology 7
- Gut microbiota and health 6
- RNA modifications and cancer 4
- Physiology 17
- Diet and metabolism studies 7
- Adipose Tissue and Metabolism 4
- Co-authors
- Giuseppe Passarino (43 shared papers)Dina Bellizzi (43 shared papers)Alberto Montesanto (12 shared papers)Marco Giordano (3 shared papers)Francesco De Rango (11 shared papers)Giuseppina Rose (5 shared papers)Pierfrancesco Tassone (6 shared papers)Nicola Amodio (6 shared papers)
- Journals
- Nutrients (5 papers)International Journal of Molecular Sciences (3 papers)Antibiotics (2 papers)Epigenomics (2 papers)Oncotarget (2 papers)
- Partner nations
- ItalyUnited StatesGeorgia
In The Last Decade
Patrizia D’Aquila
44 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 124
- Aging 134
- Geriatrics and Gerontology 89
- Cancer Research 288
- Molecular Biology 1.2k
- Hematology 143
Countries citing papers authored by Patrizia D’Aquila
This map shows the geographic impact of Patrizia D’Aquila'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 Patrizia D’Aquila with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrizia D’Aquila more than expected).
Fields of papers citing papers by Patrizia D’Aquila
This network shows the impact of papers produced by Patrizia D’Aquila. 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 Patrizia D’Aquila. The network helps show where Patrizia D’Aquila may publish in the future.
Co-authors
The 25 scholars most cited alongside Patrizia D’Aquila, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 218 | |
| 2 | 2013 | 214 | |
| 3 | 2012 | 127 | |
| 4 | 2012 | 98 | |
| 5 | 2013 | 82 | |
| 6 | 2014 | 82 | |
| 7 | 2011 | 77 | |
| 8 | 2013 | 72 | |
| 9 | 2017 | 69 | |
| 10 | 2012 | 57 | |
| 11 | 2015 | 53 | |
| 12 | 2016 | 51 | |
| 13 | 2016 | 50 | |
| 14 | 2020 | 49 | |
| 15 | 2016 | 39 | |
| 16 | 2012 | 34 | |
| 17 | 2018 | 32 | |
| 18 | 2020 | 30 | |
| 19 | 2017 | 29 | |
| 20 | 2022 | 29 |
About Patrizia D’Aquila
Patrizia D’Aquila is a scholar working on Molecular Biology, Physiology, Cancer Research, Pediatrics, Perinatology and Child Health and Genetics, having authored 46 papers that have together received 1.8k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (20 papers), Mitochondrial Function and Pathology (7 papers), Diet and metabolism studies (7 papers), Gut microbiota and health (6 papers), MicroRNA in disease regulation (5 papers), Adipose Tissue and Metabolism (4 papers), RNA modifications and cancer (4 papers) and Birth, Development, and Health (4 papers). The work is most often cited by research in Aging (134 citations), Geriatrics and Gerontology (89 citations), Cancer Research (288 citations), Molecular Biology (1.2k citations) and Hematology (143 citations). Patrizia D’Aquila has collaborated with scholars based in Italy, United States and Georgia. Frequent co-authors include Giuseppe Passarino, Dina Bellizzi, Alberto Montesanto, Marco Giordano, Francesco De Rango, Giuseppina Rose, Pierfrancesco Tassone, Nicola Amodio, Vittorio Riso and Andrea Riccio. Their work appears in journals such as Nutrients, International Journal of Molecular Sciences, Antibiotics, Epigenomics and Oncotarget.
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.