Iole Macchia
Impact in
- Virology top 5%
- HIV Research and Treatment
- Immunology top 10%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- IL-33, ST2, and ILC Pathways
- T-cell and B-cell Immunology
Papers in
- Immunology 14
- Immune Cell Function and Interaction 9
- Immunotherapy and Immune Responses 7
- T-cell and B-cell Immunology 5
- Virology 12
- HIV Research and Treatment 12
- Co-authors
- Valentina La Sorsa (4 shared papers)Maria Teresa D’Urso (3 shared papers)Giovanna Schiavoni (3 shared papers)Enrico Proietti (4 shared papers)Claudia Afferni (2 shared papers)Francesca Urbani (6 shared papers)Fausto Titti (10 shared papers)Massimo Spada (3 shared papers)
- Journals
- Journal of Medical Primatology (3 papers)Virus Research (1 paper)Human Gene Therapy (1 paper)Immunology (1 paper)Advances in experimental medicine and biology (1 paper)
- Partner nations
- ItalyNetherlandsGermany
In The Last Decade
Iole Macchia
22 papers receiving 558 citations
Peers
Comparison fields: 5 of 80
- Virology 154
- Immunology 325
- Oncology 131
- Infectious Diseases 53
- Epidemiology 85
Countries citing papers authored by Iole Macchia
This map shows the geographic impact of Iole Macchia'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 Iole Macchia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Iole Macchia more than expected).
Fields of papers citing papers by Iole Macchia
This network shows the impact of papers produced by Iole Macchia. 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 Iole Macchia. The network helps show where Iole Macchia may publish in the future.
Co-authors
The 25 scholars most cited alongside Iole Macchia, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 152 | |
| 2 | 2011 | 62 | |
| 3 | 2000 | 44 | |
| 4 | 2009 | 41 | |
| 5 | 2023 | 29 | |
| 6 | 2022 | 29 | |
| 7 | 2010 | 28 | |
| 8 | 2006 | 25 | |
| 9 | 1999 | 22 | |
| 10 | 2019 | 20 | |
| 11 | 2013 | 20 | |
| 12 | 1999 | 16 | |
| 13 | 2007 | 15 | |
| 14 | 2009 | 11 | |
| 15 | 2009 | 11 | |
| 16 | 2001 | 10 | |
| 17 | Innate anti-viral immunity is associated with the protection elicited by the simian immunodeficiency virus (SIV) live attenuated virus vaccine in cynomolgus monkeys. | 2006 | 9 |
| 18 | 2006 | 9 | |
| 19 | 2020 | 7 | |
| 20 | 2007 | 3 |
About Iole Macchia
Iole Macchia is a scholar working on Immunology, Virology, Molecular Biology, Epidemiology and Oncology, having authored 23 papers that have together received 565 indexed citations. Recurring topics across this work include HIV Research and Treatment (12 papers), Immune Cell Function and Interaction (9 papers), Immunotherapy and Immune Responses (7 papers), T-cell and B-cell Immunology (5 papers), vaccines and immunoinformatics approaches (5 papers), Cancer Immunotherapy and Biomarkers (4 papers), CAR-T cell therapy research (3 papers) and Virology and Viral Diseases (3 papers). The work is most often cited by research in Virology (154 citations), Immunology (325 citations), Oncology (131 citations), Infectious Diseases (53 citations) and Epidemiology (85 citations). Iole Macchia has collaborated with scholars based in Italy, Netherlands and Germany. Frequent co-authors include Valentina La Sorsa, Maria Teresa D’Urso, Giovanna Schiavoni, Enrico Proietti, Claudia Afferni, Francesca Urbani, Fausto Titti, Massimo Spada, Fabrizio Mattei and Antonella Sistigu. Their work appears in journals such as Journal of Medical Primatology, Virus Research, Human Gene Therapy, Immunology and Advances in experimental medicine and biology.
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.