Danilo Perrotti
Impact in
- Hematology top 0.2%
- Chronic Myeloid Leukemia Treatments
- Acute Myeloid Leukemia Research
- Genetics top 0.5%
- Chronic Lymphocytic Leukemia Research
Papers in
- Hematology 76
- Chronic Myeloid Leukemia Treatments 54
- Acute Myeloid Leukemia Research 43
- Multiple Myeloma Research and Treatments 11
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- Protein Degradation and Inhibitors 11
- Co-authors
- Bruno Calabretta (25 shared papers)Paolo Neviani (29 shared papers)Michael A. Caligiuri (27 shared papers)Guido Marcucci (42 shared papers)Ramasamy Santhanam (24 shared papers)Rossana Trotta (24 shared papers)Tomasz Skórski (7 shared papers)Carlo M. Croce (6 shared papers)
- Journals
- Blood (44 papers)Proceedings of the National Academy of Sciences (8 papers)Cancer Research (6 papers)Cancer Cell (4 papers)Journal of Clinical Oncology (4 papers)
- Partner nations
- United StatesItalyCanada
In The Last Decade
Danilo Perrotti
121 papers receiving 8.8k citations
Danilo Perrotti's Hit Papers
Peers
Comparison fields: 5 of 118
- Hematology 3.2k
- Genetics 1.7k
- Cancer Research 2.1k
- Molecular Biology 5.9k
- Immunology 1.3k
Countries citing papers authored by Danilo Perrotti
This map shows the geographic impact of Danilo Perrotti'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 Danilo Perrotti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danilo Perrotti more than expected).
Fields of papers citing papers by Danilo Perrotti
This network shows the impact of papers produced by Danilo Perrotti. 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 Danilo Perrotti. The network helps show where Danilo Perrotti may publish in the future.
Co-authors
The 25 scholars most cited alongside Danilo Perrotti, 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 123 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | MicroRNAs bind to Toll-like receptors to induce prometastatic inflammatory response Hit paper breakdown → | 2012 | 1284 |
| 2 | 2006 | 464 | |
| 3 | 2004 | 408 | |
| 4 | 2005 | 370 | |
| 5 | 2013 | 320 | |
| 6 | 2010 | 289 | |
| 7 | 2007 | 269 | |
| 8 | 2001 | 238 | |
| 9 | 2009 | 235 | |
| 10 | 2012 | 223 | |
| 11 | 2008 | 207 | |
| 12 | 2003 | 180 | |
| 13 | 2005 | 160 | |
| 14 | 2005 | 152 | |
| 15 | 2013 | 151 | |
| 16 | 2010 | 141 | |
| 17 | 2007 | 127 | |
| 18 | 1992 | 121 | |
| 19 | 2007 | 120 | |
| 20 | 2007 | 119 |
About Danilo Perrotti
Danilo Perrotti is a scholar working on Hematology, Molecular Biology, Genetics, Immunology and Cancer Research, having authored 123 papers that have together received 9.0k indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (54 papers), Acute Myeloid Leukemia Research (43 papers), Chronic Lymphocytic Leukemia Research (21 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (13 papers), Protein Degradation and Inhibitors (11 papers), Multiple Myeloma Research and Treatments (11 papers), MicroRNA in disease regulation (11 papers) and Eosinophilic Disorders and Syndromes (10 papers). The work is most often cited by research in Hematology (3.2k citations), Genetics (1.7k citations), Cancer Research (2.1k citations), Molecular Biology (5.9k citations) and Immunology (1.3k citations). Danilo Perrotti has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Bruno Calabretta, Paolo Neviani, Michael A. Caligiuri, Guido Marcucci, Ramasamy Santhanam, Rossana Trotta, Tomasz Skórski, Carlo M. Croce, Clara D. Bloomfield and John M. Goldman. Their work appears in journals such as Blood, Proceedings of the National Academy of Sciences, Cancer Research, Cancer Cell and Journal of Clinical Oncology.
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.