Danilo Licastro
Impact in
Papers in
-
- Extracellular vesicles in disease 11
- RNA Research and Splicing 8
- Gut microbiota and health 4
- Genomics and Phylogenetic Studies 4
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- MicroRNA in disease regulation 10
- Co-authors
- Simeone Dal Monego (19 shared papers)Vittorio Venturi (7 shared papers)Laura Piccio (2 shared papers)Robert Mikesell (2 shared papers)Claudia Cantoni (2 shared papers)Bryan Bollman (2 shared papers)Bruno Stefanon (8 shared papers)Sandy Sgorlon (7 shared papers)
- Journals
- International Journal of Molecular Sciences (9 papers)PLoS ONE (3 papers)Nature Communications (3 papers)Cell Reports (3 papers)Animals (2 papers)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Danilo Licastro
90 papers receiving 2.3k citations
Danilo Licastro's Hit Papers
Peers
Comparison fields: 5 of 119
- Neurology 407
- Aging 58
- Developmental Neuroscience 110
- Cancer Research 250
- Sensory Systems 80
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 93 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 271 | |
| 2 | SARS-CoV-2 escape from a highly neutralizing COVID-19 convalescent plasma Hit paper breakdown → | 2021 | 248 |
| 3 | 2015 | 221 | |
| 4 | 2016 | 128 | |
| 5 | 2019 | 91 | |
| 6 | 2014 | 86 | |
| 7 | 2022 | 62 | |
| 8 | 2016 | 62 | |
| 9 | 2022 | 60 | |
| 10 | 2019 | 46 | |
| 11 | 2013 | 44 | |
| 12 | 2018 | 43 | |
| 13 | 2022 | 40 | |
| 14 | 2019 | 37 | |
| 15 | 2019 | 37 | |
| 16 | 2018 | 37 | |
| 17 | 2014 | 33 | |
| 18 | 2013 | 31 | |
| 19 | 2009 | 31 | |
| 20 | 2016 | 29 |
About Danilo Licastro
Danilo Licastro is a scholar working on Molecular Biology, Cancer Research, Plant Science, Infectious Diseases and Cell Biology, having authored 93 papers that have together received 2.3k 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), Plant-Microbe Interactions and Immunity (5 papers), Plant Pathogenic Bacteria Studies (5 papers), Gut microbiota and health (4 papers), COVID-19 Clinical Research Studies (4 papers) and Genomics and Phylogenetic Studies (4 papers). The work is most often cited by research in Neurology (407 citations), Aging (58 citations), Developmental Neuroscience (110 citations), Cancer Research (250 citations) and Sensory Systems (80 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 Piccio, Robert Mikesell, Claudia Cantoni, Bryan Bollman, Bruno Stefanon, Sandy Sgorlon, Martina Trentini and Barbara Zavan. Their work appears in journals such as International Journal of Molecular Sciences, PLoS ONE, Nature Communications, Cell Reports and Animals.
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.