Anna Salvetti
- Genetics top 1%
- Virus-based gene therapy research 45
- Hepatology top 5%
- Hepatitis C virus research 15
- Molecular Biology top 5%
- RNA Interference and Gene Delivery 11
- CRISPR and Genetic Engineering 10
- Viral Infectious Diseases and Gene Expression in Insects 9
- Infectious Diseases top 5%
- Epidemiology top 5%
- Hepatitis B Virus Studies 15
- Herpesvirus Infections and Treatments 14
-
- CAR-T cell therapy research 14
- Co-authors
- Philippe MoullierGilliane ChadeufDavid FavreDelphine BohlYan ChérelAnna GrecoJean Michel HeardVéronique Blouin
- Cited by
- GeneticsHepatologyMolecular Biology
- Journals
- Journal of Virology (12 papers)Human Gene Therapy (5 papers)The Journal of Gene Medicine (5 papers)
- Partner nations
- FranceGermanyUnited States
In The Last Decade
Anna Salvetti
79 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 108
- Genetics 1.5k
- Hepatology 191
- Molecular Biology 1.6k
- Infectious Diseases 391
- Epidemiology 635
Countries citing papers authored by Anna Salvetti
This map shows the geographic impact of Anna Salvetti'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 Anna Salvetti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Salvetti more than expected).
Fields of papers citing papers by Anna Salvetti
This network shows the impact of papers produced by Anna Salvetti. 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 Anna Salvetti. The network helps show where Anna Salvetti may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Anna Salvetti, 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 | 2024 | 2 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 7 | |
| 5 | Loss of hepatitis D virus infectivity upon farnesyl transferase inhibitor treatment associates with increasing RNA editing rates revealed by a new RT-ddPCR method | 2022 | 12 |
| 6 | 2022 | 9 | |
| 7 | 2021 | 18 | |
| 8 | 2021 | 20 | |
| 9 | 2019 | 22 | |
| 10 | 2018 | 1 | |
| 11 | 2018 | 61 | |
| 12 | 2017 | 46 | |
| 13 | 2015 | 12 | |
| 14 | 2014 | 78 | |
| 15 | 2012 | 79 | |
| 16 | 2009 | 42 | |
| 17 | 2005 | 63 | |
| 18 | 2004 | 42 | |
| 19 | 1996 | 0 | |
| 20 | 1993 | 9 |
About Anna Salvetti
Anna Salvetti is a scholar working on Hepatology, Genetics and Epidemiology, having authored 81 papers that have together received 2.5k indexed citations. Recurring topics across this work include Virus-based gene therapy research (45 papers), Hepatitis B Virus Studies (15 papers), Hepatitis C virus research (15 papers), CAR-T cell therapy research (14 papers), Herpesvirus Infections and Treatments (14 papers), RNA Interference and Gene Delivery (11 papers), CRISPR and Genetic Engineering (10 papers) and Viral Infectious Diseases and Gene Expression in Insects (9 papers). The work is most often cited by research in Genetics (1.5k citations), Hepatology (191 citations) and Molecular Biology (1.6k citations). Anna Salvetti has collaborated with scholars based in France, Germany and United States. Frequent co-authors include Philippe Moullier, Gilliane Chadeuf, David Favre, Delphine Bohl, Yan Chérel, Anna Greco, Jean Michel Heard, Véronique Blouin, Karen Nieto and Marie‐Claude Geoffroy. Their work appears in journals such as Journal of Virology, Human Gene Therapy, The Journal of Gene Medicine, Scientific Reports 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.