Mattia Quattrocelli
- Genetics top 5%
- Mesenchymal stem cell research 10
- Molecular Biology top 10%
- Muscle Physiology and Disorders 42
- Pluripotent Stem Cells Research 10
- Mitochondrial Function and Pathology 4
- Rehabilitation top 5%
- Exercise and Physiological Responses 5
- Aging top 10%
- Genetics, Aging, and Longevity in Model Organisms 4
- Physiology top 10%
- Adipose Tissue and Metabolism 11
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- Tissue Engineering and Regenerative Medicine 20
- Co-authors
- Elizabeth M. McNallyMaurilio SampaolesiAlexis R. DemonbreunDavid Y. BarefieldStefania CrippaMarco CassanoKaitlin E. SwansonIlaria Perini
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Journal of Clinical Investigation (6 papers)Nature Communications (1 paper)
- Partner nations
- United StatesBelgiumItaly
In The Last Decade
Mattia Quattrocelli
62 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 106
- Genetics 193
- Molecular Biology 1.2k
- Rehabilitation 110
- Aging 21
- Physiology 271
Countries citing papers authored by Mattia Quattrocelli
This map shows the geographic impact of Mattia Quattrocelli'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 Mattia Quattrocelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mattia Quattrocelli more than expected).
Fields of papers citing papers by Mattia Quattrocelli
This network shows the impact of papers produced by Mattia Quattrocelli. 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 Mattia Quattrocelli. The network helps show where Mattia Quattrocelli may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mattia Quattrocelli, 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 | 1 | |
| 3 | 2024 | 5 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 5 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 4 | |
| 8 | 2022 | 22 | |
| 9 | 2022 | 18 | |
| 10 | 2022 | 13 | |
| 11 | 2022 | 18 | |
| 12 | 2021 | 9 | |
| 13 | 2021 | 21 | |
| 14 | 2020 | 47 | |
| 15 | 2019 | 52 | |
| 16 | 2019 | 18 | |
| 17 | 2019 | 13 | |
| 18 | 2014 | 32 | |
| 19 | 2011 | 31 | |
| 20 | Novel Hyperactive Transposons for Genetic Modification of Induced Pluripotent and Adult Stem Cells: A Non-Viral Paradigm for Coaxed Differentiation | 2010 | 17 |
About Mattia Quattrocelli
Mattia Quattrocelli is a scholar working on Aging, Genetics and Molecular Biology, having authored 66 papers that have together received 1.5k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (42 papers), Tissue Engineering and Regenerative Medicine (20 papers), Adipose Tissue and Metabolism (11 papers), Pluripotent Stem Cells Research (10 papers), Mesenchymal stem cell research (10 papers), Exercise and Physiological Responses (5 papers), Mitochondrial Function and Pathology (4 papers) and Genetics, Aging, and Longevity in Model Organisms (4 papers). The work is most often cited by research in Genetics (193 citations), Molecular Biology (1.2k citations) and Rehabilitation (110 citations). Mattia Quattrocelli has collaborated with scholars based in United States, Belgium and Italy. Frequent co-authors include Elizabeth M. McNally, Maurilio Sampaolesi, Alexis R. Demonbreun, David Y. Barefield, Stefania Crippa, Marco Cassano, Kaitlin E. Swanson, Ilaria Perini, Isabella M. Salamone and Michele Hadhazy. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Communications.
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.