Danilo Licastro
Impact in
Papers in
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- MicroRNA in disease regulation 10
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- Extracellular vesicles in disease 11
- RNA Research and Splicing 8
- RNA modifications and cancer 5
- Co-authors
- Simeone Dal Monego (20 shared papers)Vittorio Venturi (7 shared papers)Laura M. Piccio (2 shared papers)Claudia Cantoni (2 shared papers)Bryan Bollman (2 shared papers)Robert J. Mikesell (2 shared papers)Bruno Stefanon (8 shared papers)Miguel Cámara (2 shared papers)
- Journals
- International Journal of Molecular Sciences (10 papers)Cell Reports (3 papers)Nature Communications (3 papers)PLoS ONE (3 papers)Journal of Virology (2 papers)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Danilo Licastro
100 papers receiving 3.0k citations
Danilo Licastro's Hit Papers
Peers
Comparison fields: 5 of 131
- Neurology 444
- Aging 66
- Infectious Diseases 518
- Developmental Neuroscience 111
- Cancer Research 279
Countries citing papers authored by Danilo Licastro
This map shows the geographic impact of Danilo Licastro'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 Licastro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danilo Licastro more than expected).
Fields of papers citing papers by Danilo Licastro
This network shows the impact of papers produced by Danilo Licastro. 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 Licastro. The network helps show where Danilo Licastro may publish in the future.
Co-authors
The 25 scholars most cited alongside Danilo Licastro, 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 103 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | SARS-CoV-2 escape from a highly neutralizing COVID-19 convalescent plasma Hit paper breakdown → | 2021 | 309 |
| 2 | 2020 | 301 | |
| 3 | 2015 | 242 | |
| 4 | 2016 | 142 | |
| 5 | 2022 | 114 | |
| 6 | 2020 | 112 | |
| 7 | 2014 | 109 | |
| 8 | 2019 | 95 | |
| 9 | 2022 | 68 | |
| 10 | 2022 | 68 | |
| 11 | 2016 | 64 | |
| 12 | 2019 | 51 | |
| 13 | 2013 | 48 | |
| 14 | 2020 | 47 | |
| 15 | 2018 | 46 | |
| 16 | 2022 | 44 | |
| 17 | 2013 | 41 | |
| 18 | 2019 | 40 | |
| 19 | 2017 | 40 | |
| 20 | 2018 | 39 |
About Danilo Licastro
Danilo Licastro is a scholar working on Cancer Research, Molecular Biology, Infectious Diseases, Neurology and Sensory Systems, having authored 103 papers that have together received 3.0k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (11 papers), MicroRNA in disease regulation (10 papers), RNA Research and Splicing (8 papers), SARS-CoV-2 and COVID-19 Research (6 papers), SARS-CoV-2 detection and testing (5 papers), RNA modifications and cancer (5 papers), Plant Pathogenic Bacteria Studies (5 papers) and COVID-19 Clinical Research Studies (5 papers). The work is most often cited by research in Neurology (444 citations), Aging (66 citations), Infectious Diseases (518 citations), Developmental Neuroscience (111 citations) and Cancer Research (279 citations). Danilo Licastro has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Simeone Dal Monego, Vittorio Venturi, Laura M. Piccio, Claudia Cantoni, Bryan Bollman, Robert J. Mikesell, Bruno Stefanon, Miguel Cámara, Bruna Gonçalves Coutinho and Martina Trentini. Their work appears in journals such as International Journal of Molecular Sciences, Cell Reports, Nature Communications, PLoS ONE and Journal of Virology.
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.