Giuseppe Passarino
- Aging top 0.1%
- Genetics, Aging, and Longevity in Model Organisms 36
- Geriatrics and Gerontology top 0.2%
- Frailty in Older Adults 16
- Genetics top 0.5%
- Forensic and Genetic Research 19
- Physiology top 0.5%
- Adipose Tissue and Metabolism 19
- Diet and metabolism studies 13
- Archeology top 0.2%
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- Mitochondrial Function and Pathology 28
- Epigenetics and DNA Methylation 27
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- Birth, Development, and Health 14
- Co-authors
- Dina BellizziGiuseppina RoseAlberto MontesantoPatrizia D’AquilaOrnella SeminoClaudio FranceschiFrancesco De RangoA. Silvana Santachiara‐Benerecetti
- Journals
- Science (1 paper)Proceedings of the National Academy of Sciences (1 paper)Nature Genetics (1 paper)
- Partner nations
- ItalyUnited StatesDenmark
In The Last Decade
Giuseppe Passarino
181 papers receiving 8.9k citations
Hit Papers
Peers
Comparison fields: 5 of 188
- Aging 1.1k
- Geriatrics and Gerontology 838
- Genetics 2.9k
- Physiology 2.1k
- Archeology 750
Countries citing papers authored by Giuseppe Passarino
This map shows the geographic impact of Giuseppe Passarino'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 Giuseppe Passarino with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giuseppe Passarino more than expected).
Fields of papers citing papers by Giuseppe Passarino
This network shows the impact of papers produced by Giuseppe Passarino. 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 Giuseppe Passarino. The network helps show where Giuseppe Passarino may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Giuseppe Passarino, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 5 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 17 | |
| 7 | 2023 | 8 | |
| 8 | 2023 | 23 | |
| 9 | 2023 | 12 | |
| 10 | 2023 | 8 | |
| 11 | 2023 | 6 | |
| 12 | 2023 | 6 | |
| 13 | 2022 | 10 | |
| 14 | 2022 | 7 | |
| 15 | 2022 | 20 | |
| 16 | 2022 | 6 | |
| 17 | 2019 | 7 | |
| 18 | 2016 | 39 | |
| 19 | 2013 | 211 | |
| 20 | 2008 | 38 |
About Giuseppe Passarino
Giuseppe Passarino is a scholar working on Aging, Geriatrics and Gerontology and Physiology, having authored 186 papers that have together received 9.2k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (36 papers), Mitochondrial Function and Pathology (28 papers), Epigenetics and DNA Methylation (27 papers), Forensic and Genetic Research (19 papers), Adipose Tissue and Metabolism (19 papers), Frailty in Older Adults (16 papers), Birth, Development, and Health (14 papers) and Diet and metabolism studies (13 papers). The work is most often cited by research in Aging (1.1k citations), Geriatrics and Gerontology (838 citations) and Genetics (2.9k citations). Giuseppe Passarino has collaborated with scholars based in Italy, United States and Denmark. Frequent co-authors include Dina Bellizzi, Giuseppina Rose, Alberto Montesanto, Patrizia D’Aquila, Ornella Semino, Claudio Franceschi, Francesco De Rango, A. Silvana Santachiara‐Benerecetti, Serena Dato and Giovanna De Benedictis. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nature Genetics.
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.