Ivan Cuccovillo
Impact in
- Genetics top 5%
- Virus-based gene therapy research
- Myeloproliferative Neoplasms: Diagnosis and Treatment
- Mesenchymal stem cell research
- Immunology top 5%
- Biomarkers in Disease Mechanisms
Papers in
- Immunology 16
- Biomarkers in Disease Mechanisms 16
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- RNA Interference and Gene Delivery 3
- CRISPR and Genetic Engineering 3
- Congenital heart defects research 2
- Co-authors
- Alberto Mantovani (15 shared papers)Fabio Fiordaliso (4 shared papers)Roberto Latini (9 shared papers)Mirko Doni (3 shared papers)Lidia Staszewsky (6 shared papers)Barbara Bottazzi (10 shared papers)Anna Kajaste‐Rudnitski (6 shared papers)Monica Salio (3 shared papers)
- Journals
- Life Sciences (2 papers)Arthritis Care & Research (1 paper)Nutrition Metabolism and Cardiovascular Diseases (1 paper)Blood Cells Molecules and Diseases (1 paper)Nature Communications (1 paper)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Ivan Cuccovillo
28 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 95
- Genetics 227
- Immunology 461
- Hematology 227
- Cardiology and Cardiovascular Medicine 201
- Nephrology 51
Countries citing papers authored by Ivan Cuccovillo
This map shows the geographic impact of Ivan Cuccovillo'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 Ivan Cuccovillo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Cuccovillo more than expected).
Fields of papers citing papers by Ivan Cuccovillo
This network shows the impact of papers produced by Ivan Cuccovillo. 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 Ivan Cuccovillo. The network helps show where Ivan Cuccovillo may publish in the future.
Co-authors
The 25 scholars most cited alongside Ivan Cuccovillo, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 179 | |
| 2 | 2020 | 174 | |
| 3 | 2004 | 171 | |
| 4 | 2010 | 143 | |
| 5 | 2010 | 124 | |
| 6 | 2006 | 97 | |
| 7 | 2011 | 80 | |
| 8 | 2012 | 80 | |
| 9 | 2018 | 80 | |
| 10 | 2008 | 79 | |
| 11 | 2010 | 64 | |
| 12 | 2012 | 61 | |
| 13 | 2017 | 56 | |
| 14 | 2009 | 37 | |
| 15 | 2013 | 32 | |
| 16 | 2010 | 28 | |
| 17 | 2020 | 28 | |
| 18 | 2007 | 22 | |
| 19 | 2011 | 18 | |
| 20 | 2011 | 18 |
About Ivan Cuccovillo
Ivan Cuccovillo is a scholar working on Immunology, Molecular Biology, Genetics, Oncology and Genetics, having authored 29 papers that have together received 1.6k indexed citations. Recurring topics across this work include Biomarkers in Disease Mechanisms (16 papers), Virus-based gene therapy research (5 papers), RNA Interference and Gene Delivery (3 papers), CRISPR and Genetic Engineering (3 papers), Congenital heart defects research (2 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers), CAR-T cell therapy research (2 papers) and Cardiac Ischemia and Reperfusion (2 papers). The work is most often cited by research in Genetics (227 citations), Immunology (461 citations), Hematology (227 citations), Cardiology and Cardiovascular Medicine (201 citations) and Nephrology (51 citations). Ivan Cuccovillo has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Alberto Mantovani, Fabio Fiordaliso, Roberto Latini, Mirko Doni, Lidia Staszewsky, Barbara Bottazzi, Anna Kajaste‐Rudnitski, Monica Salio, Antonio Bai and Pietro Ghezzi. Their work appears in journals such as Life Sciences, Arthritis Care & Research, Nutrition Metabolism and Cardiovascular Diseases, Blood Cells Molecules and Diseases 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.