Danilo Pellin
Impact in
- Virology top 5%
- HIV Research and Treatment
- Hematology top 10%
- Hematopoietic Stem Cell Transplantation
Papers in ⓘ
-
- Hematopoietic Stem Cell Transplantation 4
- Virology 2
- HIV Research and Treatment 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)Annita Montepeloso (4 shared papers)Alessandra Biffi (4 shared papers)Cristina Baricordi (2 shared papers)Samuel L. Wolock (1 shared paper)
- Journals
- Nature Communications (6 papers)PLoS ONE (5 papers)Blood (3 papers)Nature Medicine (2 papers)BMC Bioinformatics (2 papers)
- Partner nations
- United StatesItalyUnited Kingdom
In The Last Decade
Danilo Pellin
27 papers receiving 1000 citations
Peers
Comparison fields: 5 of 86
- Virology 93
- Hematology 140
- Genetics 339
- Molecular Biology 714
- Infectious Diseases 163
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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 193 | |
| 2 | 2014 | 127 | |
| 3 | 2010 | 121 | |
| 4 | 2015 | 103 | |
| 5 | 2018 | 82 | |
| 6 | 2010 | 81 | |
| 7 | 2012 | 60 | |
| 8 | 2023 | 57 | |
| 9 | 2012 | 39 | |
| 10 | 2010 | 34 | |
| 11 | 2023 | 27 | |
| 12 | 2022 | 20 | |
| 13 | 2011 | 14 | |
| 14 | 2013 | 13 | |
| 15 | 2019 | 6 | |
| 16 | 2024 | 5 | |
| 17 | 2016 | 5 | |
| 18 | 2023 | 4 | |
| 19 | 2021 | 4 | |
| 20 | 2023 | 3 |
About Danilo Pellin
Danilo Pellin is a scholar working on Hematology, Virology, Genetics, Oncology and Molecular Biology, having authored 29 papers that have together received 1.0k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (11 papers), Virus-based gene therapy research (9 papers), CAR-T cell therapy research (8 papers), Single-cell and spatial transcriptomics (4 papers), Hematopoietic Stem Cell Transplantation (4 papers), HIV Research and Treatment (2 papers), Animal Genetics and Reproduction (2 papers) and Bacteriophages and microbial interactions (2 papers). The work is most often cited by research in Virology (93 citations), Hematology (140 citations), Genetics (339 citations), Molecular Biology (714 citations) and Infectious Diseases (163 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, Annita Montepeloso, Alessandra Biffi, Cristina Baricordi, Samuel L. Wolock, Olga K. Weinberg and Allon M. Klein. Their work appears in journals such as Nature Communications, PLoS ONE, Blood, Nature Medicine and BMC Bioinformatics.
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.