Paola Italiani
Impact in
- Immunology top 1%
- Immune cells in cancer
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Immune Response and Inflammation
- Immune responses and vaccinations
- Biological Psychiatry top 5%
Papers in
- Immunology 38
- Immune responses and vaccinations 19
- Immunotherapy and Immune Responses 17
- Immune Response and Inflammation 10
- Immune cells in cancer 9
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- RNA Interference and Gene Delivery 5
- Inflammasome and immune disorders 5
- Co-authors
- Diana Boraschi (59 shared papers)Michael U. Martin (1 shared paper)Paola Migliorini (9 shared papers)Daniela Melillo (8 shared papers)Albert Duschl (7 shared papers)Ilaria Puxeddu (6 shared papers)Víctor Puntes (12 shared papers)Rita Marino (4 shared papers)
In The Last Decade
Paola Italiani
67 papers receiving 4.5k citations
Paola Italiani's Hit Papers
Peers
Comparison fields: 5 of 145
- Immunology 2.0k
- Biological Psychiatry 92
- Neurology 255
- Biomaterials 304
- Microbiology 121
Countries citing papers authored by Paola Italiani
This map shows the geographic impact of Paola Italiani'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 Paola Italiani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paola Italiani more than expected).
Fields of papers citing papers by Paola Italiani
This network shows the impact of papers produced by Paola Italiani. 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 Paola Italiani. The network helps show where Paola Italiani may publish in the future.
Co-authors
The 25 scholars most cited alongside Paola Italiani, 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 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | From Monocytes to M1/M2 Macrophages: Phenotypical vs. Functional Differentiation Hit paper breakdown → | 2014 | 1593 |
| 2 | 2011 | 307 | |
| 3 | 2017 | 283 | |
| 4 | 2017 | 258 | |
| 5 | 2011 | 156 | |
| 6 | 2018 | 144 | |
| 7 | 2018 | 120 | |
| 8 | 2010 | 103 | |
| 9 | 2020 | 101 | |
| 10 | 2011 | 88 | |
| 11 | 2014 | 78 | |
| 12 | 2018 | 76 | |
| 13 | 2017 | 76 | |
| 14 | 2014 | 72 | |
| 15 | 2009 | 61 | |
| 16 | 2018 | 60 | |
| 17 | 2014 | 60 | |
| 18 | 2019 | 55 | |
| 19 | 2017 | 55 | |
| 20 | 2015 | 54 |
About Paola Italiani
Paola Italiani is a scholar working on Immunology, Molecular Biology, Materials Chemistry, Neurology and Biomedical Engineering, having authored 68 papers that have together received 4.6k indexed citations. Recurring topics across this work include Immune responses and vaccinations (19 papers), Immunotherapy and Immune Responses (17 papers), Immune Response and Inflammation (10 papers), Immune cells in cancer (9 papers), Nanoparticles: synthesis and applications (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers), RNA Interference and Gene Delivery (5 papers) and Inflammasome and immune disorders (5 papers). The work is most often cited by research in Immunology (2.0k citations), Biological Psychiatry (92 citations), Neurology (255 citations), Biomaterials (304 citations) and Microbiology (121 citations). Paola Italiani has collaborated with scholars based in Italy, Spain and China. Frequent co-authors include Diana Boraschi, Michael U. Martin, Paola Migliorini, Daniela Melillo, Albert Duschl, Ilaria Puxeddu, Víctor Puntes, Rita Marino, S. Moein Moghimi and Eudald Casals. Their work appears in journals such as Frontiers in Immunology, International Journal of Molecular Sciences, Nanotoxicology, Journal of Drug Delivery Science and Technology and Cells.
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.