Luca Vago
Impact in
- Virology top 0.5%
- HIV Research and Treatment
- Immunology top 0.5%
- Immune Cell Function and Interaction
- Biomarkers in Disease Mechanisms
- T-cell and B-cell Immunology
- Immune cells in cancer
Papers in
- Virology 24
- HIV Research and Treatment 24
- Hematology 46
- Hematopoietic Stem Cell Transplantation 33
- Acute Myeloid Leukemia Research 20
- Co-authors
- Alberto MantovaniManuela NebuloniPaola CinqueAdriano LazzarinIvana GojoAndrea DoniAntonella d’Arminio MonforteAntonio Sica
- Journals
- Blood (34 papers)AIDS (10 papers)Journal of NeuroVirology (5 papers)Clinical Infectious Diseases (4 papers)The Journal of Infectious Diseases (4 papers)
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Luca Vago
177 papers receiving 8.3k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Virology 990
- Immunology 3.6k
- Hematology 1.2k
- Oncology 2.4k
- Infectious Diseases 1.1k
Countries citing papers authored by Luca Vago
This map shows the geographic impact of Luca Vago'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 Luca Vago with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luca Vago more than expected).
Fields of papers citing papers by Luca Vago
This network shows the impact of papers produced by Luca Vago. 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 Luca Vago. The network helps show where Luca Vago may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Luca Vago, 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 | 1 | |
| 2 | 2023 | 6 | |
| 3 | 2023 | 10 | |
| 4 | 2020 | 230 | |
| 5 | ENHANCED ALLOREACTIVITY TO BI-DIRECTIONAL NON-PERMISSIVE HLA-DPB1 MISMATCHES SUPPORTS NON-HIERARCHICAL T-CELL EPITOPE GROUP DIVERSITY AS UNDERLYING BIOLOGICAL MECHANISM | 2013 | 1 |
| 6 | 2012 | 36 | |
| 7 | 2012 | 23 | |
| 8 | 2010 | 50 | |
| 9 | 2009 | 26 | |
| 10 | 2008 | 3 | |
| 11 | 2007 | 47 | |
| 12 | 2006 | 359 | |
| 13 | 2002 | 38 | |
| 14 | 2000 | 22 | |
| 15 | 1999 | 49 | |
| 16 | 1996 | 19 | |
| 17 | 1995 | 31 | |
| 18 | 1993 | 233 | |
| 19 | 1992 | 101 | |
| 20 | 1988 | 4 |
About Luca Vago
Luca Vago is a scholar working on Virology, Hematology, Immunology, Oncology and Transplantation, having authored 182 papers that have together received 8.4k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (33 papers), Immune Cell Function and Interaction (29 papers), Cytomegalovirus and herpesvirus research (27 papers), HIV Research and Treatment (24 papers), Acute Myeloid Leukemia Research (20 papers), T-cell and B-cell Immunology (20 papers), Polyomavirus and related diseases (20 papers) and CAR-T cell therapy research (16 papers). The work is most often cited by research in Virology (990 citations), Immunology (3.6k citations), Hematology (1.2k citations), Oncology (2.4k citations) and Infectious Diseases (1.1k citations). Luca Vago has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Alberto Mantovani, Manuela Nebuloni, Paola Cinque, Adriano Lazzarin, Ivana Gojo, Andrea Doni, Antonella d’Arminio Monforte, Antonio Sica, Alessandra Saccani and Subhra K. Biswas. Their work appears in journals such as Blood, AIDS, Journal of NeuroVirology, Clinical Infectious Diseases and The Journal of Infectious Diseases.
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.