Silvia Erratico
Impact in
- Genetics top 10%
- Mesenchymal stem cell research
-
- Electrospun Nanofibers in Biomedical Applications
Papers in
-
- Muscle Physiology and Disorders 8
- Advanced biosensing and bioanalysis techniques 2
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- 3D Printing in Biomedical Research 3
- Bone Tissue Engineering Materials 2
- Co-authors
- Yvan Torrente (21 shared papers)Mirella Meregalli (14 shared papers)Andrea Farini (10 shared papers)Clementina Sitzia (7 shared papers)M. Belicchi (13 shared papers)P. Razini (8 shared papers)Chiara Villa (9 shared papers)F. Fiori (1 shared paper)
- Journals
- Haematologica (2 papers)BioMed Research International (2 papers)Molecular Therapy (1 paper)Scientific Reports (1 paper)Tissue Engineering Part C Methods (1 paper)
- Partner nations
- ItalyUnited StatesSpain
In The Last Decade
Silvia Erratico
21 papers receiving 520 citations
Peers
Comparison fields: 5 of 86
- Genetics 114
- Biomaterials 67
- Rehabilitation 28
- Molecular Biology 262
- Developmental Neuroscience 12
Countries citing papers authored by Silvia Erratico
This map shows the geographic impact of Silvia Erratico'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 Silvia Erratico with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Silvia Erratico more than expected).
Fields of papers citing papers by Silvia Erratico
This network shows the impact of papers produced by Silvia Erratico. 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 Silvia Erratico. The network helps show where Silvia Erratico may publish in the future.
Co-authors
The 25 scholars most cited alongside Silvia Erratico, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 89 | |
| 2 | 2016 | 56 | |
| 3 | 2010 | 47 | |
| 4 | 2009 | 45 | |
| 5 | 2019 | 31 | |
| 6 | 2013 | 29 | |
| 7 | 2018 | 25 | |
| 8 | 2017 | 23 | |
| 9 | 2016 | 22 | |
| 10 | 2016 | 21 | |
| 11 | 2016 | 21 | |
| 12 | 2018 | 19 | |
| 13 | 2010 | 19 | |
| 14 | 2010 | 16 | |
| 15 | 2022 | 14 | |
| 16 | 2014 | 13 | |
| 17 | 2012 | 10 | |
| 18 | 2015 | 9 | |
| 19 | 2014 | 8 | |
| 20 | 2023 | 5 |
About Silvia Erratico
Silvia Erratico is a scholar working on Molecular Biology, Biomedical Engineering, Surgery, Biomaterials and Genetics, having authored 21 papers that have together received 526 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (8 papers), Tissue Engineering and Regenerative Medicine (4 papers), Mesenchymal stem cell research (3 papers), Electrospun Nanofibers in Biomedical Applications (3 papers), 3D Printing in Biomedical Research (3 papers), Advanced biosensing and bioanalysis techniques (2 papers), Adipose Tissue and Metabolism (2 papers) and Bone Tissue Engineering Materials (2 papers). The work is most often cited by research in Genetics (114 citations), Biomaterials (67 citations), Rehabilitation (28 citations), Molecular Biology (262 citations) and Developmental Neuroscience (12 citations). Silvia Erratico has collaborated with scholars based in Italy, United States and Spain. Frequent co-authors include Yvan Torrente, Mirella Meregalli, Andrea Farini, Clementina Sitzia, M. Belicchi, P. Razini, Chiara Villa, F. Fiori, F. Rustichelli and Sergio Brovelli. Their work appears in journals such as Haematologica, BioMed Research International, Molecular Therapy, Scientific Reports and Tissue Engineering Part C Methods.
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.