Pasquale Vito
Impact in
- Cancer Research top 2%
- NF-κB Signaling Pathways
- Immunology top 2%
- Immune Response and Inflammation
- interferon and immune responses
Papers in
-
- Cell death mechanisms and regulation 19
- Immunology 32
- Immune Response and Inflammation 19
- interferon and immune responses 12
- Co-authors
- Luciano D'adamio (12 shared papers)Emanuela Lacaná (5 shared papers)Romania Stilo (36 shared papers)Chantal Guiet (4 shared papers)Tiziana Zotti (33 shared papers)Antonio Leonardi (14 shared papers)J. Kelly Ganjei (4 shared papers)Ivan Scudiero (15 shared papers)
- Journals
- Journal of Biological Chemistry (16 papers)Journal of Cellular Physiology (5 papers)PLoS ONE (2 papers)Science (2 papers)International Journal of Molecular Sciences (2 papers)
- Partner nations
- ItalyUnited StatesQatar
In The Last Decade
Pasquale Vito
70 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 115
- Cancer Research 699
- Immunology 976
- Physiology 929
- Cell Biology 531
- Molecular Biology 1.9k
Countries citing papers authored by Pasquale Vito
This map shows the geographic impact of Pasquale Vito'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 Pasquale Vito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pasquale Vito more than expected).
Fields of papers citing papers by Pasquale Vito
This network shows the impact of papers produced by Pasquale Vito. 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 Pasquale Vito. The network helps show where Pasquale Vito may publish in the future.
Co-authors
The 25 scholars most cited alongside Pasquale Vito, 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 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 426 | |
| 2 | 1996 | 365 | |
| 3 | 2006 | 212 | |
| 4 | 1999 | 198 | |
| 5 | 2002 | 142 | |
| 6 | 1996 | 112 | |
| 7 | 2004 | 97 | |
| 8 | 1997 | 93 | |
| 9 | 1999 | 91 | |
| 10 | 2004 | 85 | |
| 11 | 2011 | 78 | |
| 12 | 2015 | 78 | |
| 13 | 2011 | 73 | |
| 14 | 2004 | 70 | |
| 15 | 1999 | 68 | |
| 16 | 2000 | 66 | |
| 17 | 2004 | 62 | |
| 18 | 2016 | 61 | |
| 19 | 2011 | 60 | |
| 20 | 2002 | 57 |
About Pasquale Vito
Pasquale Vito is a scholar working on Molecular Biology, Immunology, Cancer Research, Physiology and Oncology, having authored 72 papers that have together received 3.5k indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (31 papers), Immune Response and Inflammation (19 papers), Cell death mechanisms and regulation (19 papers), interferon and immune responses (12 papers), Alzheimer's disease research and treatments (8 papers), SARS-CoV-2 and COVID-19 Research (6 papers), Cytokine Signaling Pathways and Interactions (5 papers) and Endoplasmic Reticulum Stress and Disease (5 papers). The work is most often cited by research in Cancer Research (699 citations), Immunology (976 citations), Physiology (929 citations), Cell Biology (531 citations) and Molecular Biology (1.9k citations). Pasquale Vito has collaborated with scholars based in Italy, United States and Qatar. Frequent co-authors include Luciano D'adamio, Emanuela Lacaná, Romania Stilo, Chantal Guiet, Tiziana Zotti, Antonio Leonardi, J. Kelly Ganjei, Ivan Scudiero, Luca Pellegrini and Silvestro Formisano. Their work appears in journals such as Journal of Biological Chemistry, Journal of Cellular Physiology, PLoS ONE, Science and International Journal of Molecular 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.