Roberto Rizzi
Impact in
- Hepatology top 2%
- Hepatitis C virus research
- Behavioral Neuroscience top 5%
Papers in
-
- Muscle Physiology and Disorders 8
- Pluripotent Stem Cells Research 6
- Extracellular vesicles in disease 5
- Surgery 14
- Tissue Engineering and Regenerative Medicine 9
- Co-authors
- Claudia Bearzi (35 shared papers)Cesare Gargioli (11 shared papers)Hany E. Marei (4 shared papers)Ferruccio Bonino (4 shared papers)G Verme (3 shared papers)Dror Seliktar (5 shared papers)Francesca R. D’Amato (6 shared papers)Mario Rizzetto (2 shared papers)
- Journals
- International Journal of Molecular Sciences (4 papers)Biofabrication (3 papers)Cells (3 papers)Journal of Clinical Investigation (3 papers)Cell Death and Disease (3 papers)
- Partner nations
- ItalyUnited StatesPoland
In The Last Decade
Roberto Rizzi
69 papers receiving 2.9k citations
Roberto Rizzi's Hit Papers
Peers
Comparison fields: 5 of 133
- Hepatology 309
- Behavioral Neuroscience 90
- Genetics 240
- Biomaterials 325
- Molecular Biology 1.2k
Countries citing papers authored by Roberto Rizzi
This map shows the geographic impact of Roberto Rizzi'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 Roberto Rizzi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberto Rizzi more than expected).
Fields of papers citing papers by Roberto Rizzi
This network shows the impact of papers produced by Roberto Rizzi. 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 Roberto Rizzi. The network helps show where Roberto Rizzi may publish in the future.
Co-authors
The 25 scholars most cited alongside Roberto Rizzi, 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 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A multi-cellular 3D bioprinting approach for vascularized heart tissue engineering based on HUVECs and iPSC-derived cardiomyocytes Hit paper breakdown → | 2018 | 323 |
| 2 | 1986 | 290 | |
| 3 | 2010 | 283 | |
| 4 | 2007 | 242 | |
| 5 | 2016 | 122 | |
| 6 | 2018 | 119 | |
| 7 | 2014 | 98 | |
| 8 | 2006 | 87 | |
| 9 | 2017 | 78 | |
| 10 | 2015 | 78 | |
| 11 | 2009 | 72 | |
| 12 | 1986 | 66 | |
| 13 | 2014 | 57 | |
| 14 | 2014 | 56 | |
| 15 | 2007 | 55 | |
| 16 | Tissue engineering for skeletal muscle regeneration. | 2012 | 50 |
| 17 | 2012 | 48 | |
| 18 | 2021 | 46 | |
| 19 | 2004 | 43 | |
| 20 | 2009 | 42 |
About Roberto Rizzi
Roberto Rizzi is a scholar working on Molecular Biology, Surgery, Biomedical Engineering, Biomaterials and Physiology, having authored 72 papers that have together received 2.9k indexed citations. Recurring topics across this work include Electrospun Nanofibers in Biomedical Applications (9 papers), Tissue Engineering and Regenerative Medicine (9 papers), 3D Printing in Biomedical Research (9 papers), Muscle Physiology and Disorders (8 papers), Stress Responses and Cortisol (6 papers), Pluripotent Stem Cells Research (6 papers), Extracellular vesicles in disease (5 papers) and Hepatitis B Virus Studies (4 papers). The work is most often cited by research in Hepatology (309 citations), Behavioral Neuroscience (90 citations), Genetics (240 citations), Biomaterials (325 citations) and Molecular Biology (1.2k citations). Roberto Rizzi has collaborated with scholars based in Italy, United States and Poland. Frequent co-authors include Claudia Bearzi, Cesare Gargioli, Hany E. Marei, Ferruccio Bonino, G Verme, Dror Seliktar, Francesca R. D’Amato, Mario Rizzetto, Anna Moles and Marika Milan. Their work appears in journals such as International Journal of Molecular Sciences, Biofabrication, Cells, Journal of Clinical Investigation and Cell Death and Disease.
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.