Davide Gianni
Impact in
- Genetics top 2%
- Virus-based gene therapy research
- Immunology top 5%
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
Papers in
-
- CRISPR and Genetic Engineering 7
- RNA Interference and Gene Delivery 6
- Physiology 14
- Nitric Oxide and Endothelin Effects 6
- Alzheimer's disease research and treatments 6
- Co-authors
- Gary Bokoch (7 shared papers)Céline DerMardirossian (3 shared papers)Nicolas Taulet (3 shared papers)Sara A. Courtneidge (2 shared papers)Giulia Fulci (4 shared papers)Miguel Sena‐Esteves (8 shared papers)E. Antonio Chiocca (4 shared papers)Balveen Kaur (3 shared papers)
- Journals
- SLAS DISCOVERY (7 papers)Cancer Research (4 papers)Journal of Biological Chemistry (3 papers)Molecular Therapy (3 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Davide Gianni
57 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 107
- Genetics 711
- Immunology 457
- Physiology 504
- Molecular Biology 1.4k
- Neurology 141
Countries citing papers authored by Davide Gianni
This map shows the geographic impact of Davide Gianni'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 Davide Gianni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Davide Gianni more than expected).
Fields of papers citing papers by Davide Gianni
This network shows the impact of papers produced by Davide Gianni. 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 Davide Gianni. The network helps show where Davide Gianni may publish in the future.
Co-authors
The 25 scholars most cited alongside Davide Gianni, 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 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 287 | |
| 2 | 2012 | 241 | |
| 3 | 2010 | 165 | |
| 4 | 2007 | 137 | |
| 5 | 2010 | 112 | |
| 6 | 2012 | 109 | |
| 7 | 2008 | 107 | |
| 8 | 2008 | 94 | |
| 9 | 2009 | 93 | |
| 10 | 2010 | 92 | |
| 11 | 2017 | 91 | |
| 12 | 2004 | 80 | |
| 13 | 2006 | 72 | |
| 14 | 2003 | 67 | |
| 15 | 2021 | 66 | |
| 16 | 2015 | 61 | |
| 17 | 2013 | 56 | |
| 18 | 2008 | 56 | |
| 19 | 2009 | 51 | |
| 20 | 2005 | 49 |
About Davide Gianni
Davide Gianni is a scholar working on Molecular Biology, Physiology, Genetics, Oncology and Immunology, having authored 61 papers that have together received 2.7k indexed citations. Recurring topics across this work include Virus-based gene therapy research (9 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (8 papers), CRISPR and Genetic Engineering (7 papers), Nitric Oxide and Endothelin Effects (6 papers), RNA Interference and Gene Delivery (6 papers), Alzheimer's disease research and treatments (6 papers), CAR-T cell therapy research (6 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). The work is most often cited by research in Genetics (711 citations), Immunology (457 citations), Physiology (504 citations), Molecular Biology (1.4k citations) and Neurology (141 citations). Davide Gianni has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Gary Bokoch, Céline DerMardirossian, Nicolas Taulet, Sara A. Courtneidge, Giulia Fulci, Miguel Sena‐Esteves, E. Antonio Chiocca, Balveen Kaur, Ralph Weissleder and Federica del Monte. Their work appears in journals such as SLAS DISCOVERY, Cancer Research, Journal of Biological Chemistry, Molecular Therapy and Proceedings of the National Academy of Sciences.
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.