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
- Alzheimer's disease research and treatments 7
- Nitric Oxide and Endothelin Effects 6
- Co-authors
- Gary Bokoch (7 shared papers)Nicolas Taulet (3 shared papers)Céline DerMardirossian (3 shared papers)Sara A. Courtneidge (2 shared papers)E. Antonio Chiocca (4 shared papers)Giulia Fulci (4 shared papers)Miguel Sena‐Esteves (8 shared papers)Ralph Weissleder (3 shared papers)
- Journals
- SLAS DISCOVERY (6 papers)Cancer Research (4 papers)Journal of Biological Chemistry (3 papers)Molecular Therapy (3 papers)Cell Reports (2 papers)
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Davide Gianni
55 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 109
- Genetics 717
- Immunology 485
- Molecular Biology 1.5k
- Physiology 555
- Neurology 155
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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 286 | |
| 2 | 2012 | 240 | |
| 3 | 2010 | 165 | |
| 4 | 2007 | 135 | |
| 5 | 2010 | 110 | |
| 6 | 2012 | 107 | |
| 7 | 2008 | 107 | |
| 8 | 2008 | 94 | |
| 9 | 2009 | 93 | |
| 10 | 2017 | 90 | |
| 11 | 2010 | 90 | |
| 12 | 2004 | 80 | |
| 13 | 2006 | 72 | |
| 14 | 2003 | 67 | |
| 15 | 2021 | 63 | |
| 16 | 2015 | 59 | |
| 17 | 2008 | 56 | |
| 18 | 2013 | 55 | |
| 19 | 2009 | 51 | |
| 20 | 2005 | 48 |
About Davide Gianni
Davide Gianni is a scholar working on Molecular Biology, Physiology, Genetics, Oncology and Immunology, having authored 59 papers that have together received 2.6k indexed citations. Recurring topics across this work include Virus-based gene therapy research (9 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (8 papers), Alzheimer's disease research and treatments (7 papers), CRISPR and Genetic Engineering (7 papers), Nitric Oxide and Endothelin Effects (6 papers), RNA Interference and Gene Delivery (6 papers), CAR-T cell therapy research (6 papers) and Cell Adhesion Molecules Research (3 papers). The work is most often cited by research in Genetics (717 citations), Immunology (485 citations), Molecular Biology (1.5k citations), Physiology (555 citations) and Neurology (155 citations). Davide Gianni has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Gary Bokoch, Nicolas Taulet, Céline DerMardirossian, Sara A. Courtneidge, E. Antonio Chiocca, Giulia Fulci, Miguel Sena‐Esteves, Ralph Weissleder, Balveen Kaur and Federica del Monte. Their work appears in journals such as SLAS DISCOVERY, Cancer Research, Journal of Biological Chemistry, Molecular Therapy and Cell Reports.
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.