Danilo Pellin
Impact in
Papers in
-
- CRISPR and Genetic Engineering 10
- Single-cell and spatial transcriptomics 3
- Genetics 10
- Virus-based gene therapy research 9
- Animal Genetics and Reproduction 2
- Co-authors
- Clelia Di Serio (11 shared papers)Luca Biasco (8 shared papers)Alessandro Ambrosi (6 shared papers)Daniela María Cirillo (3 shared papers)Alessandra Biffi (4 shared papers)Annita Montepeloso (4 shared papers)Cristina Baricordi (2 shared papers)Allon M. Klein (1 shared paper)
- Journals
- Nature Communications (6 papers)PLoS ONE (5 papers)Blood (3 papers)Molecular Therapy — Methods & Clinical Development (2 papers)Nature Medicine (2 papers)
- Partner nations
- United StatesItalyUnited Kingdom
In The Last Decade
Danilo Pellin
31 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 82
- Virology 95
- Genetics 348
- Hematology 131
- Molecular Biology 716
- Infectious Diseases 157
Countries citing papers authored by Danilo Pellin
This map shows the geographic impact of Danilo Pellin'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 Pellin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danilo Pellin more than expected).
Fields of papers citing papers by Danilo Pellin
This network shows the impact of papers produced by Danilo Pellin. 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 Pellin. The network helps show where Danilo Pellin may publish in the future.
Co-authors
The 25 scholars most cited alongside Danilo Pellin, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 209 | |
| 2 | 2014 | 130 | |
| 3 | 2010 | 130 | |
| 4 | 2015 | 110 | |
| 5 | 2010 | 85 | |
| 6 | 2018 | 84 | |
| 7 | 2012 | 63 | |
| 8 | 2023 | 62 | |
| 9 | 2012 | 40 | |
| 10 | 2010 | 38 | |
| 11 | 2023 | 33 | |
| 12 | 2022 | 23 | |
| 13 | 2011 | 15 | |
| 14 | 2013 | 14 | |
| 15 | 2024 | 8 | |
| 16 | 2019 | 6 | |
| 17 | 2021 | 6 | |
| 18 | 2016 | 5 | |
| 19 | 2023 | 4 | |
| 20 | 2021 | 4 |
About Danilo Pellin
Danilo Pellin is a scholar working on Molecular Biology, Genetics, Oncology, Immunology and Hematology, having authored 32 papers that have together received 1.1k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (10 papers), Virus-based gene therapy research (9 papers), CAR-T cell therapy research (8 papers), Hematopoietic Stem Cell Transplantation (3 papers), Single-cell and spatial transcriptomics (3 papers), Immune cells in cancer (3 papers), Cancer Genomics and Diagnostics (2 papers) and Animal Genetics and Reproduction (2 papers). The work is most often cited by research in Virology (95 citations), Genetics (348 citations), Hematology (131 citations), Molecular Biology (716 citations) and Infectious Diseases (157 citations). Danilo Pellin has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Clelia Di Serio, Luca Biasco, Alessandro Ambrosi, Daniela María Cirillo, Alessandra Biffi, Annita Montepeloso, Cristina Baricordi, Allon M. Klein, Mariana Loperfido and Olga K. Weinberg. Their work appears in journals such as Nature Communications, PLoS ONE, Blood, Molecular Therapy — Methods & Clinical Development and Nature Medicine.
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.