Fabrizio Benedicenti
- Genetics top 1%
- Virus-based gene therapy research 23
- Molecular Biology top 5%
- CRISPR and Genetic Engineering 12
- RNA Interference and Gene Delivery 11
- Viral Infectious Diseases and Gene Expression in Insects 4
- Pluripotent Stem Cells Research 1
- Oncology top 5%
- CAR-T cell therapy research 11
- Genetics top 10%
- Virus-based gene therapy research 23
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- Immune Cell Function and Interaction 2
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- Viral gastroenteritis research and epidemiology 1
- Co-authors
- Eugenio MontiniLuigi NaldiniDaniela CesanaManfred SchmidtChristof von KalleFrancesca SanvitoLucia Sergi SergiClaudio Doglioni
- Cited by
- GeneticsMolecular BiologyOncology
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Fabrizio Benedicenti
27 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 80
- Genetics 1.3k
- Molecular Biology 1.4k
- Oncology 540
- Genetics 101
- Immunology 176
Countries citing papers authored by Fabrizio Benedicenti
This map shows the geographic impact of Fabrizio Benedicenti'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 Fabrizio Benedicenti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabrizio Benedicenti more than expected).
Fields of papers citing papers by Fabrizio Benedicenti
This network shows the impact of papers produced by Fabrizio Benedicenti. 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 Fabrizio Benedicenti. The network helps show where Fabrizio Benedicenti may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Fabrizio Benedicenti, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 9 | |
| 2 | 2023 | 4 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 6 | |
| 5 | 2022 | 4 | |
| 6 | 2021 | 12 | |
| 7 | 2019 | 8 | |
| 8 | 2019 | 8 | |
| 9 | 2016 | 43 | |
| 10 | 2016 | 52 | |
| 11 | 2016 | 42 | |
| 12 | 2015 | 11 | |
| 13 | 2014 | 22 | |
| 14 | 2014 | 148 | |
| 15 | 2014 | 14 | |
| 16 | 2014 | 44 | |
| 17 | 2013 | 78 | |
| 18 | 2009 | 413 | |
| 19 | Hematopoietic stem cell gene transfer in a tumor-prone mouse model uncovers low genotoxicity of lentiviral vector integrationbreakdown → | 2006 | 537 |
| 20 | 2005 | 54 |
About Fabrizio Benedicenti
Fabrizio Benedicenti is a scholar working on Genetics, Oncology and Molecular Biology, having authored 27 papers that have together received 1.9k indexed citations. Recurring topics across this work include Virus-based gene therapy research (23 papers), CRISPR and Genetic Engineering (12 papers), CAR-T cell therapy research (11 papers), RNA Interference and Gene Delivery (11 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers), Immune Cell Function and Interaction (2 papers), Viral gastroenteritis research and epidemiology (1 paper) and Pluripotent Stem Cells Research (1 paper). The work is most often cited by research in Genetics (1.3k citations), Molecular Biology (1.4k citations) and Oncology (540 citations). Fabrizio Benedicenti has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Eugenio Montini, Luigi Naldini, Daniela Cesana, Manfred Schmidt, Christof von Kalle, Francesca Sanvito, Lucia Sergi Sergi, Claudio Doglioni, Cynthia C. Bartholomae and Clelia Di Serio. Their work appears in journals such as Journal of Clinical Investigation, Nature Communications and Blood.
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.