Luca Nanni
Impact in
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- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Dermatology top 10%
- Dermatological and COVID-19 studies
Papers in
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- Genomics and Chromatin Dynamics 5
- Gene expression and cancer classification 3
- Epigenetics and DNA Methylation 2
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- T-cell and B-cell Immunology 3
- Immune Cell Function and Interaction 3
- Immunotherapy and Immune Responses 2
- Co-authors
- Stefano Ceri (9 shared papers)Colin Logie (2 shared papers)Pietro Pinoli (7 shared papers)G. De Sandre (2 shared papers)L. Borgato (1 shared paper)Micaela Tiso (2 shared papers)Claudio Lunardi (2 shared papers)R Millo (2 shared papers)
- Journals
- European Journal of Immunology (3 papers)Bioinformatics (2 papers)Nature Communications (1 paper)Briefings in Bioinformatics (1 paper)Genome biology (1 paper)
- Partner nations
- ItalySwitzerlandBelgium
In The Last Decade
Luca Nanni
24 papers receiving 521 citations
Peers
Comparison fields: 5 of 87
- Immunology 163
- Dermatology 62
- Infectious Diseases 86
- Hematology 34
- Cancer Research 41
Countries citing papers authored by Luca Nanni
This map shows the geographic impact of Luca Nanni'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 Nanni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luca Nanni more than expected).
Fields of papers citing papers by Luca Nanni
This network shows the impact of papers produced by Luca Nanni. 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 Nanni. The network helps show where Luca Nanni may publish in the future.
Co-authors
The 25 scholars most cited alongside Luca Nanni, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 100 | |
| 2 | 1994 | 84 | |
| 3 | 2021 | 57 | |
| 4 | 1996 | 47 | |
| 5 | 2020 | 44 | |
| 6 | 2023 | 36 | |
| 7 | 2018 | 36 | |
| 8 | 2019 | 29 | |
| 9 | 2020 | 20 | |
| 10 | 1998 | 16 | |
| 11 | 2018 | 14 | |
| 12 | 2019 | 13 | |
| 13 | 2021 | 11 | |
| 14 | 2000 | 10 | |
| 15 | 2020 | 5 | |
| 16 | 2020 | 4 | |
| 17 | 1997 | 3 | |
| 18 | 2024 | 2 | |
| 19 | 2009 | 1 | |
| 20 | 2023 | 1 |
About Luca Nanni
Luca Nanni is a scholar working on Molecular Biology, Immunology, Rheumatology, Infectious Diseases and Computer Networks and Communications, having authored 24 papers that have together received 537 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (5 papers), Gene expression and cancer classification (3 papers), T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers), Cancer Genomics and Diagnostics (2 papers), Systemic Lupus Erythematosus Research (2 papers), Epigenetics and DNA Methylation (2 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Immunology (163 citations), Dermatology (62 citations), Infectious Diseases (86 citations), Hematology (34 citations) and Cancer Research (41 citations). Luca Nanni has collaborated with scholars based in Italy, Switzerland and Belgium. Frequent co-authors include Stefano Ceri, Colin Logie, Pietro Pinoli, G. De Sandre, L. Borgato, Micaela Tiso, Claudio Lunardi, R Millo, Giovanni Ciriello and Lorenzo Moretta. Their work appears in journals such as European Journal of Immunology, Bioinformatics, Nature Communications, Briefings in Bioinformatics and Genome 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.