Marcella Facchini
Impact in
- Genetics top 10%
- Virus-based gene therapy research
- Bacterial Genetics and Biotechnology
- Physiology top 10%
- Lysosomal Storage Disorders Research
Papers in
- Physiology 11
- Lysosomal Storage Disorders Research 11
- Genetics 6
- Virus-based gene therapy research 5
- Co-authors
- Alessandra Bragonzi (10 shared papers)Francesco Imperi (2 shared papers)Paolo Visca (2 shared papers)Daniela Visaggio (2 shared papers)Emanuela Frangipani (2 shared papers)Ida De Fino (4 shared papers)Camilla Riva (4 shared papers)Fabrizia Minandri (1 shared paper)
In The Last Decade
Marcella Facchini
28 papers receiving 1.3k citations
Marcella Facchini's Hit Papers
Peers
Comparison fields: 5 of 86
- Genetics 329
- Physiology 247
- Clinical Biochemistry 33
- Hematology 86
- Molecular Medicine 40
Countries citing papers authored by Marcella Facchini
This map shows the geographic impact of Marcella Facchini'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 Marcella Facchini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcella Facchini more than expected).
Fields of papers citing papers by Marcella Facchini
This network shows the impact of papers produced by Marcella Facchini. 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 Marcella Facchini. The network helps show where Marcella Facchini may publish in the future.
Co-authors
The 25 scholars most cited alongside Marcella Facchini, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Lentiviral haematopoietic stem-cell gene therapy for early-onset metachromatic leukodystrophy: long-term results from a non-randomised, open-label, phase 1/2 trial and expanded access Hit paper breakdown → | 2022 | 206 |
| 2 | 2016 | 178 | |
| 3 | 2019 | 169 | |
| 4 | 2013 | 137 | |
| 5 | 2021 | 120 | |
| 6 | 2014 | 62 | |
| 7 | 2013 | 52 | |
| 8 | 2021 | 48 | |
| 9 | 2010 | 44 | |
| 10 | 2007 | 42 | |
| 11 | 2015 | 39 | |
| 12 | 2016 | 36 | |
| 13 | 2014 | 30 | |
| 14 | 2012 | 23 | |
| 15 | 2014 | 20 | |
| 16 | 2018 | 12 | |
| 17 | 2024 | 11 | |
| 18 | 2014 | 10 | |
| 19 | 2019 | 10 | |
| 20 | 2025 | 9 |
About Marcella Facchini
Marcella Facchini is a scholar working on Physiology, Genetics, Pulmonary and Respiratory Medicine, Infectious Diseases and Molecular Biology, having authored 28 papers that have together received 1.3k indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (11 papers), Bacterial biofilms and quorum sensing (6 papers), Cystic Fibrosis Research Advances (6 papers), Virus-based gene therapy research (5 papers), HIV/AIDS drug development and treatment (3 papers), Proteoglycans and glycosaminoglycans research (2 papers), Infections and bacterial resistance (1 paper) and Burkholderia infections and melioidosis (1 paper). The work is most often cited by research in Genetics (329 citations), Physiology (247 citations), Clinical Biochemistry (33 citations), Hematology (86 citations) and Molecular Medicine (40 citations). Marcella Facchini has collaborated with scholars based in Italy, Germany and Spain. Frequent co-authors include Alessandra Bragonzi, Francesco Imperi, Paolo Visca, Daniela Visaggio, Emanuela Frangipani, Ida De Fino, Camilla Riva, Fabrizia Minandri, Paolo Pasquali and Carlo Bonchi. Their work appears in journals such as Molecular Genetics and Metabolism, New England Journal of Medicine, Journal of Visualized Experiments, Bone Marrow Transplantation 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.